{"type": "FeatureCollection", "features": [{"id": "10.1007/s00442-007-0750-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:06Z", "type": "Journal Article", "created": "2007-05-09", "title": "Mangrove Growth In New Zealand Estuaries: The Role Of Nutrient Enrichment At Sites With Contrasting Rates Of Sedimentation", "description": "Mangrove forest coverage is increasing in the estuaries of the North Island of New Zealand, causing changes in estuarine ecosystem structure and function. Sedimentation and associated nutrient enrichment have been proposed to be factors leading to increases in mangrove cover, but the relative importance of each of these factors is unknown. We conducted a fertilization study in estuaries with different sedimentation histories in order to determine the role of nutrient enrichment in stimulating mangrove growth and forest development. We expected that if mangroves were nutrient-limited, nutrient enrichment would lead to increases in mangrove growth and forest structure and that nutrient enrichment of trees in our site with low sedimentation would give rise to trees and sediments that converged in terms of functional characteristics on control sites in our high sedimentation site. The effects of fertilizing with nitrogen (N) varied among sites and across the intertidal zone, with enhancements in growth, photosynthetic carbon gain, N resorption prior to leaf senescence and the leaf area index of canopies being significantly greater at the high sedimentation sites than at the low sedimentation sites, and in landward dwarf trees compared to seaward fringing trees. Sediment respiration (CO(2) efflux) was higher at the high sedimentation site than at the low one sedimentation site, but it was not significantly affected by fertilization, suggesting that the high sedimentation site supported greater bacterial mineralization of sediment carbon. Nutrient enrichment of the coastal zone has a role in facilitating the expansion of mangroves in estuaries of the North Island of New Zealand, but this effect is secondary to that of sedimentation, which increases habitat area and stimulates growth. In estuaries with high sediment loads, enrichment with N will cause greater mangrove growth and further changes in ecosystem function.", "keywords": ["nutrient resorption efficiency", "Whangapoua", "0106 biological sciences", "Geologic Sediments", "Nitrogen", "Performance", "soil respiration", "01 natural sciences", "Rhizophora-mangle", "C1", "Oxygen Consumption", "Plant-growth", "Herbivory", "Photosynthesis", "Deposition", "Ecosystem", "580", "photosynthesis", "Avicenna marina", "Ecology", "leaf area index", "Plant Stems", "Phosphorus", "Soil respiration", "Limitation", "15. Life on land", "Carbon", "Plant Leaves", "Leaf area index", "770400 Coastal and Estuarine Environment", "Nutrient resorption efficiency", "Waikopua", "Avicennia", "Seasons", "270402 Plant Physiology", "New Zealand"]}, "links": [{"href": "https://doi.org/10.1007/s00442-007-0750-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Oecologia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00442-007-0750-y", "name": "item", "description": "10.1007/s00442-007-0750-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00442-007-0750-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-05-10T00:00:00Z"}}, {"id": "056534c0-b8b9-4cc6-8578-871e9710bcd5", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.33, 51.53], [12.33, 53.52], [14.99, 53.52], [14.99, 51.53], [12.33, 51.53]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - I4S's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - I4S and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-07-04", "type": "Service", "created": "2024-06-12", "language": "eng", "title": "Web Map Service of the dataset 'Soil data I4S Boo\u00dfen experiment 2020-2021'", "description": "This Web Map Service includes spatial information used by datasets 'Soil data I4S Boo\u00dfen experiment 2020-2021'", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index", "Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index"], "contacts": [{"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Siyu Huang", "organization": "ZALF", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "siyu.huang@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0000-8713-5490", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=c48a62ac-3a63-4a92-9786-ad18702bf24b", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/I4S/ID_5401_Boossen_Brandenburg_2010_2021_samplepoint_1/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "056534c0-b8b9-4cc6-8578-871e9710bcd5", "name": "item", "description": "056534c0-b8b9-4cc6-8578-871e9710bcd5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/056534c0-b8b9-4cc6-8578-871e9710bcd5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-04T00:00:00Z"}}, {"id": "10.1007/s00442-012-2522-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:06Z", "type": "Journal Article", "created": "2012-11-23", "title": "Nutrient Limitation In Rainforests And Cloud Forests Along A 3,000-M Elevation Gradient In The Peruvian Andes", "description": "We report results from a large-scale nutrient fertilization experiment along a 'megadiverse' (154 unique species were included in the study) 3,000-m elevation transect in the Peruvian Andes and adjacent lowland Amazonia. Our objectives were to test if nitrogen (N) and phosphorus (P) limitation shift along this elevation gradient, and to determine how an alleviation of nutrient limitation would manifest in ecosystem changes. Tree height decreased with increasing elevation, but leaf area index (LAI) and diameter at breast height (DBH) did not vary with elevation. Leaf N:P decreased with increasing elevation (from 24 at 200 m to 11 at 3,000 m), suggesting increased N limitation and decreased P limitation with increasing elevation. After 4 years of fertilization (N, P, N + P), plots at the lowland site (200 m) fertilized with N + P showed greater relative growth rates in DBH than did the control plots; no significant differences were evident at the 1,000 m site, and plots fertilized with N at the highest elevation sites (1,500, 3,000 m) showed greater relative growth rates in DBH than did the control plots, again suggesting increased N constraint with elevation. Across elevations in general N fertilization led to an increase in microbial respiration, while P and N + P addition led to an increase in root respiration and corresponding decrease in hyphal respiration. There was no significant canopy response (LAI, leaf nutrients) to fertilization, suggesting that photosynthetic capacity was not N or P limited in these ecosystems. In sum, our study significantly advances ecological understanding of nutrient cycling and ecosystem response in a region where our collective knowledge and data are sparse: we demonstrate N limitation in high elevation tropical montane forests, N and P co-limitation in lowland Amazonia, and a nutrient limitation response manifested not in canopy changes, but rather in stem and belowground changes.", "keywords": ["tropical forest", "0106 biological sciences", "elevation", "Rain", "01 natural sciences", "experimental study", "nitrogen", "Trees", "Tropical", "montane forest", "Peru", "ecosystem response", "Forest", "phosphorus", "diameter", "2. Zero hunger", "nutrient limitation", "photosynthesis", "leaf area index", "Amaz Fertilization", "Montane", "Keywords: cloud forest", "fertilizer application", "nutrient cycling", "15. Life on land", "growth rate", "rainforest"]}, "links": [{"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/77616/7/f5625xPUB64472013.pdf.jpg"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/77616/9/Meir_email.pdf.jpg"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/77616/11/01_Fisher_Nutrient_limitation_in_2013.pdf.jpg"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/77616/13/02_Fisher_Nutrient_limitation_in_2013.pdf.jpg"}, {"href": "https://doi.org/10.1007/s00442-012-2522-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Oecologia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00442-012-2522-6", "name": "item", "description": "10.1007/s00442-012-2522-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00442-012-2522-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-11-24T00:00:00Z"}}, {"id": "10.1007/s10021-008-9198-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:10Z", "type": "Journal Article", "created": "2008-10-14", "title": "Soil Respiration In European Grasslands In Relation To Climate And Assimilate Supply", "description": "Soil respiration constitutes the second largest flux of carbon (C) between terrestrial ecosystems and the atmosphere. This study provides a synthesis of soil respiration (R(s)) in 20 European grasslands across a climatic transect, including ten meadows, eight pastures and two unmanaged grasslands. Maximum rates of R(s) (R(s(max) )), R(s) at a reference soil temperature (10\u00b0C; R(s(10) )) and annual R(s) (estimated for 13 sites) ranged from 1.9 to 15.9 \u03bcmol CO(2) m(-2) s(-1), 0.3 to 5.5 \u03bcmol CO(2) m(-2) s(-1) and 58 to 1988 g C m(-2) y(-1), respectively. Values obtained for Central European mountain meadows are amongst the highest so far reported for any type of ecosystem. Across all sites R(s(max) ) was closely related to R(s(10) ).Assimilate supply affected R(s) at timescales from daily (but not necessarily diurnal) to annual. Reductions of assimilate supply by removal of aboveground biomass through grazing and cutting resulted in a rapid and a significant decrease of R(s). Temperature-independent seasonal fluctuations of R(s) of an intensively managed pasture were closely related to changes in leaf area index (LAI). Across sites R(s(10) ) increased with mean annual soil temperature (MAT), LAI and gross primary productivity (GPP), indicating that assimilate supply overrides potential acclimation to prevailing temperatures. Also annual R(s) was closely related to LAI and GPP. Because the latter two parameters were coupled to MAT, temperature was a suitable surrogate for deriving estimates of annual R(s) across the grasslands studied. These findings contribute to our understanding of regional patterns of soil C fluxes and highlight the importance of assimilate supply for soil CO(2) emissions at various timescales.", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "leaf area index", "577", "temperature", "land use", "04 agricultural and veterinary sciences", "15. Life on land", "soil CO2 efflux", "13. Climate action", "Settore BIO/07 - ECOLOGIA", "moisture", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "soil carbon", "gross primary productivity", "Soil CO2 efflux"]}, "links": [{"href": "https://doi.org/10.1007/s10021-008-9198-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10021-008-9198-0", "name": "item", "description": "10.1007/s10021-008-9198-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10021-008-9198-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-10-15T00:00:00Z"}}, {"id": "10.1016/j.agwat.2017.04.005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:06Z", "type": "Journal Article", "created": "2017-04-20", "title": "A simple and alternative approach based on reference evapotranspiration and leaf area index for estimating tree transpiration in semi-arid regions", "description": "Abstract   The present work aims to develop a simple approach relating normalized daily sap flow (liters per unit of leaf area) and daily reference evapotranspiration (ET 0 ) (mm/day). Two methods (FAO-Penman-Monteith (FAO-PM) and Hargreaves-Samani (HARG)) of the calculation of ET 0  were tested in order to examine their impact on the established relationships. The data sets used for developing this approach are taken over well irrigated orchards from three experimental sites (olive trees, cv. \u201c Olea europaea L .\u201d, olive trees, cv. \u201c Arbequino \u201d and citrus trees cv. \u201c Clementine Afourar \u201d) conducted in the Tensift region around Marrakech (center of Morocco) and one experimental site (pecan orchard, cv. \u201c Carya illinoinensis, Wangenh. K. Koch\u201d ) conducted in the Yaqui Valley, northwest of Mexico).  The results showed that the normalized daily sap flow was linearly correlated with ET 0  (mm per day) calculated by FAO-PM method. The coefficient of determination (R 2 ) and the slope of this linear regression varied between 0.71 and 0.97 and between 0.30 and 0.35, respectively, depending on the type of orchards. For HARG method, the relationship between both terms is also linear but with more discrepancy (R 2 \u00a0=\u00a00.7). This was somehow expected since this method is known to underestimate ET 0  values in the semi-arid areas. Afterward, the validation of the developed linear relationship was performed over an olive orchard (\u201c Olea europaea L .\u201d) where the measurements of sap flow were available for another cropping season (2004). The scatter plot between the normalized measured and estimated sap flow based on FAO-PM method reveals a very good agreement (slope\u00a0=\u00a01, and RMSE\u00a0=\u00a00.14\u00a0L/m 2  leaf area). However, for the estimation of normalized sap flow based on HARG method, the correlation is relatively more scattered (slope\u00a0=\u00a00.95, and RMSE\u00a0=\u00a00.35\u00a0L/m 2  leaf area). A further validation was performed using the measurements of evapotranspiration (ET) by eddy correlation system and the results showed that the correlation between normalized measured ET and estimated normalized sap flow is best when using FAO-PM method (RMSE\u00a0=\u00a00.33\u00a0L/m 2  leaf area) for estimating ET 0  than when using HARG method (RMSE\u00a0=\u00a00.51\u00a0L/m 2  leaf area).  Finally, the performance of the developed approach was compared to the traditional dual crop coefficient scheme for estimating plant transpiration. Cross-comparison of these two approaches with the measurements data gave satisfactory results with an average value of RMSE equal to about 0.37\u00a0mm/day for both approaches.", "keywords": ["2. Zero hunger", "0106 biological sciences", "Semi-arid", "Sap flow", "Leaf area index", "0401 agriculture", " forestry", " and fisheries", "Reference evapotranspiration", "04 agricultural and veterinary sciences", "Tree orchards", "15. Life on land", "01 natural sciences", "Transpiration"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2017.04.005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2017.04.005", "name": "item", "description": "10.1016/j.agwat.2017.04.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2017.04.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-01T00:00:00Z"}}, {"id": "10.5061/dryad.3xsj3txc0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:22:12Z", "type": "Dataset", "title": "Data from: Megafauna biogeography explains plant functional trait variation in the tropics", "description": "unspecifiedThe dataset that is made  available here cosists of two files in .csv format. The first is the  complete trait dataset for specific leaf area (sla;  mm<sup>2</sup>.mg<sup>-1</sup>), wood density  (woo; g.cm<sup>-3</sup>), HMax (m) and Spines (yes/no). The  list of reference sources for trait data is presentes in the end of this  note. Other abreviations in this file are: ref.sla: reference sources for  sla data; ref.woo: reference sources for wood density data; ref.hmax:  reference sources for hmax data; mat:\u00a0 mean annual temperature; map: mean  annual precipitation; rs: rainfall seasonality; nfires5: number of fires  per 5 km area (our proxy for fire frequency); avgfrp: average fire  radiative power (our proxy for fire intensity); cec: soil cation exchange  capacity; orc: soil organic carbon content; cly: weight percentage of clay  particles (&lt;0.0002 mm) in the soil; slt: weight percentage of silt  particles (0.0002\u20130.05 mm) in the soil; snd: weight percentage of the sand  particles (0.05\u20132 mm) in the soil; crf: volumetric percentage of coarse  fragments (&gt;2 mm) in the soil. The second file attached is a  dataset of Geoxyle species (geox; y(yes)/n(no)) for a subset of the  Brazilian Cerrado species. \u00a0 <strong>Complete Reference  Sources for the Funcitonal Trait Data</strong> \u00a0 Abbot, P., Lowore, J., Khofi, C. &amp; Werren, M. (1997). Defining firewood quality: A comparison of quantitative and rapid appraisal techniques to evaluate firewood species from a Southern African Savanna. <i>Biomass and Bioenergy</i>, <b>12</b>, 429\u2013437. Abe, N., Miatto, R.C. &amp; Batalha, M.A. (2018). Relationships among functional traits define primary strategies in woody species of the Brazilian \u201ccerrado.\u201d <i>Revista Brasileira de Botanica</i>, <b>41</b>, 351\u2013360. African Plant Database (version 3.4.0). Conservatoire et Jardin botaniques de la Ville de Gen\u00e8ve and South African National Biodiversity Institute, Pretoria, 'Retrieved in january 2020', from &lt;http://www.ville-ge.ch/musinfo/bd/cjb/africa/&gt;. Balch, J.K., Nepstad, D.C., Curran, L.M., Brando, P.M., Portela, O., Guilherme, P., Reuning-Scherer, J.D. &amp; de Carvalho, O. (2011). Size, species, and fire behavior predict tree and liana mortality from experimental burns in the Brazilian Amazon. <i>Forest Ecology and Management</i>, <b>261</b>, 68\u201377. Barbosa, R.I. &amp; Fearnside, P.M. (2004). Wood density of trees in open savannas of the Brazilian Amazon. <i>Forest Ecology and Management</i>, <b>199</b>, 115\u2013123. Batalha, M.A., Silva, I.A., Cianciaruso, M.V., Fran\u00e7a, H. &amp; de Carvalho, G.H. (2011). Phylogeny, traits, environment, and space in cerrado plant communities at Emas National Park (Brazil).. <i>Flora - Morphology, Distribution, Functional Ecology of Plants</i>, <b>206</b>, 949\u2013956. Borchert, R. (1994). Soil and stem water storage determine phenology and distribution of tropical dry forest trees. <i>Ecology</i>, <b>75</b>, 1437\u20131449. Bucci, S.J., Goldstein, G., Meinzer, F.C., Scholz, F.G., Franco,\u00a0 a C. &amp; Bustamante, M. (2004). Functional convergence in hydraulic architecture and water relations of tropical savanna trees: from leaf to whole plant. <i>Tree physiology</i>, <b>24</b>, 891\u20139. Bucci, S.J., Scholz, F.G., Goldstein, G., Meinzer, F.C., Franco, A.C., Campanello, P.I., Villalobos-Vega, R., Bustamante, M. &amp; Miralles-Wilhelm, F. (2006). Nutrient availability constrains the hydraulic architecture and water relations of savannah trees. <i>Plant, cell &amp; environment</i>, <b>29</b>, 2153\u201367. Cianciaruso, M. V., Silva, I.A., Manica, L.T. &amp; Souza, J.P. (2013). Leaf habit does not predict leaf functional traits in cerrado woody species. <i>Basic and Applied Ecology</i>, <b>14</b>, 404\u2013412. Costa, T.G., Bianchi, M.L., Prot\u00e1sio, T. de P., Trugilho, P.F. &amp; Pereira, A.J. (2014). Wood quality of five species from cerrado for production of charcoal. <i>Cerne</i>, <b>20</b>, 37\u201345. Dantas, V.L. &amp; Batalha, M.A. (2012). Can antiherbivory resistance explain the abundance of woody species in a Neotropical savanna? <i>Botany</i>, <b>90</b>, 93\u201399. Dantas, V.L., Batalha, M.A. &amp; Pausas, J.G. (2013). Fire drives functional thresholds on the savanna\u2013forest transition. <i>Ecology</i>, <b>94</b>, 2454\u20132463. Domingues, T.F., Meir, P., Feldpausch, T.R., Saiz, G., Veenendaal, E.M., Schrodt, F., Bird, M., Djagbletey, G., Hien, F., Compaore, H., Diallo, A., Grace, J. &amp; Lloyd, J. (2010). Co-limitation of photosynthetic capacity by nitrogen and phosphorus in West Africa woodlands. <i>Plant, Cell and Environment</i>, <b>33</b>, 959\u2013980. Flora do Brasil 2020 in construction. Jardim Bot\u00e2nico do Rio de Janeiro. Available at: &lt; http://floradobrasil.jbrj.gov.br/ &gt;. Accessed in January 2020 Hao, G.Y., Hoffmann, W.A., Scholz, F.G., Bucci, S.J., Meinzer, F.C., Franco, A.C., Cao, K.F. &amp; Goldstein, G. (2008). Stem and leaf hydraulics of congeneric tree species from adjacent tropical savanna and forest ecosystems. <i>Oecologia</i>, <b>155</b>, 405\u2013415. Higgins, S.I., Bond, W.J., Combrink, H., Craine, J.M., February, E.C., Govender, N., Lannas, K., Moncreiff, G. &amp; Trollope, W.S.W. (2012). Which traits determine shifts in the abundance of tree species in a fire-prone savanna? <i>Journal of Ecology</i>, <b>100</b>, 1400\u20131410. Kitajima, K. &amp; Poorter, L. (2010). Tissue-level leaf toughness, but not lamina thickness, predicts sapling leaf lifespan and shade tolerance of tropical tree species. <i>New Phytologist</i>, <b>186</b>, 708\u2013721. Markesteijn, L. &amp; Poorter, L. (2009). Seedling root morphology and biomass allocation of 62 tropical tree species in relation to drought- and shade-tolerance. <i>Journal of Ecology</i>, <b>97</b>, 311\u2013325. Markesteijn, L., Poorter, L., Paz, H., Sack, L. &amp; Bongers, F. (2011). Ecological differentiation in xylem cavitation resistance is associated with stem and leaf structural traits. <i>Plant, Cell and Environment</i>, <b>34</b>, 137\u2013148. Meir, P., Levy, P.E., Grace, J. &amp; Jarvis, P.G. (2007). Photosynthetic parameters from two contrasting woody vegetation types in West Africa. <i>Plant Ecology</i>, <b>192</b>, 277\u2013287. Miatto, R.C. (2011). A inclus\u00e3o da abund\u00e2ncia na diversidade funcional aumenta o seu poder de previs\u00e3o?: teste em uma comunidade de cerrado. 37. Miatto, R.C., Wright, I.J. &amp; Batalha, M. a. (2016). Relationships between soil nutrient status and nutrient-related leaf traits in Brazilian cerrado and seasonal forest communities. <i>Plant and Soil</i>. Nygard, R. &amp; Elfving, B. (2000). Stem basic density and bark proportion of 45 woody species in young savanna coppice forests in Burkina Faso. <i>Annals of Forest Science</i>, <b>57</b>, 143\u2013153. Oliveira-filho, A.T. (2017). NeoTropTree, Flora arb\u00f3rea da Regi\u00e3o Neotropical: Um banco de dados envolvendo biogeografia, diversidade e conserva\u00e7\u00e3o. <i>Universidade Federal de Minas Gerais</i>. Van der Plas, F., Howison, R., Reinders, J., Fokkema, W. &amp; Olff, H. (2013). Functional traits of trees on and off termite mounds: Understanding the origin of biotically-driven heterogeneity in savannas. <i>Journal of Vegetation Science</i>, <b>24</b>, 227\u2013238. Poorter, L., McDonald, I., Alarcon, A., Fichtler, E., Licona, J.-C., Pe\u00f1a-Carlos, M., Sterck, F., Villegas, Z. &amp; Sass-klaassen, U. (2010). The importance of wood traits and hydraulic conductance for the performance and life history strategies of 42 rainforest tree species - Poorter - 2009 - New Phytologist - Wiley Online Library. <i>New Phytologist</i>, 481\u2013492. Ribeiro, S.C., Fehrmann, L., Soares, C.P.B., Jacovine, L.A.G., Kleinn, C. &amp; de Oliveira Gaspar, R. (2011). Above- and belowground biomass in a Brazilian Cerrado. <i>Forest Ecology and Management</i>, <b>262</b>, 491\u2013499. Santiago, L.S., Goldstein, G., Meinzer, F.C., Fisher, J.B., Machado, K., Woodruff, D. &amp; Jones, T. (2004). Leaf photosynthetic traits scale with hydraulic conductivity and wood density in Panamanian forest canopy trees. <i>Oecologia</i>, <b>140</b>, 543\u2013450. Scogings, P.F., Taylor, R.W. &amp; Ward, D. (2012). Inter and intra-plant variations in nitrogen, tannins and shoot growth of Sclerocarya birrea browsed by elephants. <i>Plant Ecology</i>, <b>213</b>, 483\u2013491. Vale, A.T., Dias, I.S. &amp; Santana, M.A.E. (2010). Rela\u00e7\u00f5es entre propriedades qu\u00edmicas, f\u00edsicas e energ\u00e9ticas da madeira em cinco esp\u00e9cies de cerrado. <i>Ci\u00eanc ia Florestal</i>, <b>20</b>, 137\u2013145. Vinya, R., Malhi, Y., Brown, N. &amp; Fisher, J.B. (2012). Functional coordination between branch hydraulic properties and leaf functional traits in miombo woodlands: Implications for water stress management and species habitat preference. <i>Acta Physiologiae Plantarum</i>, <b>34</b>, 1701\u20131710. Yeaton, R. (1988). Porcupines , Fires and the Dynamics of the Tree Layer of the Burkea Africana Savanna. <i>Journal of Ecology</i>, <b>76</b>, 1017\u20131029. Zanne, A.E., Lopez-Gonzalez, G., Coomes, D.A., Ilic, J., Jansen, S., Lewis, S.L., Miller, R.B., Swenson, N.G., Wiemann, M.C. &amp; Chave, J. 2009. Global wood density database. Dryad. Identifier: http://hdl.handle.net/10255/dryad.235 Zizka, A., Govender, N. &amp; Higgins, S.I. (2014). How to tell a shrub from a tree: A life-history perspective from a South African savanna. <i>Austral Ecology</i>, <b>39</b>, 767\u2013778.", "keywords": ["megafauna", "specific leaf area (SLA)", "spines", "15. Life on land", "Maximum tree height", "Wood density", "geoxylic suffrutex"], "contacts": [{"organization": "Dantas, Vin\u00edcius, Pausas, Juli,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.3xsj3txc0"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.3xsj3txc0", "name": "item", "description": "10.5061/dryad.3xsj3txc0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.3xsj3txc0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-29T00:00:00Z"}}, {"id": "10.1111/gcb.13151", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:19:25Z", "type": "Journal Article", "created": "2015-11-07", "title": "Canopy leaf area of a mature evergreen Eucalyptus woodland does not respond to elevated atmospheric [CO 2 ] but tracks water availability", "description": "Abstract<p>Canopy leaf area, quantified by the leaf area index (L), is a crucial driver of forest productivity, water use and energy balance. Because L responds to environmental drivers, it can represent an important feedback to climate change, but its responses to rising atmospheric [CO2] and water availability of forests have been poorly quantified. We studied canopy leaf area dynamics for 28\uffc2\uffa0months in a native evergreen Eucalyptus woodland exposed to free\uffe2\uff80\uff90air CO2 enrichment (the EucFACE experiment), in a subtropical climate where water limitation is common. We hypothesized that, because of expected stimulation of productivity and water\uffe2\uff80\uff90use efficiency, L should increase with elevated [CO2]. We estimated L from diffuse canopy transmittance, and measured monthly leaf litter production. Contrary to expectation, L did not respond to elevated [CO2]. We found that L varied between 1.10 and 2.20 across the study period. The dynamics of L showed a quick increase after heavy rainfall and a steady decrease during periods of low rainfall. Leaf litter production was correlated to changes in L, both during periods of decreasing L (when no leaf growth occurred) and during periods of increasing L (active shedding of old foliage when new leaf growth occurred). Leaf lifespan, estimated from mean L and total annual litter production, was up to 2\uffc2\uffa0months longer under elevated [CO2] (1.18 vs. 1.01\uffc2\uffa0years; P\uffc2\uffa0=\uffc2\uffa00.05). Our main finding that L was not responsive to elevated CO2 is consistent with other forest FACE studies, but contrasts with the positive response of L commonly predicted by many ecosystem models.</p>", "keywords": ["[SDE] Environmental Sciences", "0106 biological sciences", "Eucalyptus", "leaf area index", "Atmosphere", "Water", "drought", "Carbon Dioxide", "Forests", "15. Life on land", "phenology", "01 natural sciences", "free-air CO2 enrichment", "6. Clean water", "[SDV] Life Sciences [q-bio]", "Plant Leaves", "13. Climate action", "atmospheric carbon dioxide", "XXXXXX - Unknown", "leaves", "New South Wales", "litter production"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.13151"}, {"href": "https://doi.org/10.1111/gcb.13151"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.13151", "name": "item", "description": "10.1111/gcb.13151", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.13151"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-02-09T00:00:00Z"}}, {"id": "10.1111/1365-2435.14304", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:19:17Z", "type": "Journal Article", "created": "2023-02-21", "title": "Functional traits explain both seedling and adult plant spatial patterns in gypsum annual species", "description": "Abstract<p>   <p>Ecological processes such as seed dispersal or plant\uffe2\uff80\uff93plant interactions and environmental constraints such as climate or soil heterogeneity are known to influence establishment, and thus the spatial patterns of plant communities and populations. In this study, we hypothesized that key functional traits such as the specific leaf area (SLA), reproductive ratio (reproductive/vegetative biomass), seed mass and maximum plant height would influence the spatial patterns of individual species in annual, gypsophilous plant communities, and that these effects would be modulated by both the soil surface structure (biocrust) and climate (precipitation) conditions.</p>  <p>We mapped the spatial patterns of all plants found in six 1\uffe2\uff80\uff89\uffc3\uff97\uffe2\uff80\uff891\uffc2\uffa0m plots (more than 1000 individuals per plot) in both the seedling (autumn) and adult stages (spring) under two biocrust experimental conditions (intact vs. disturbed biocrust) during two consecutive years which were contrasted in term of precipitation (dry year and wet year). To assess the spatial patterns of seedlings and adults, we fitted four different spatial point pattern models (i.e. Poisson, inhomogeneous Poisson, Poisson cluster and inhomogeneous Poisson cluster processes) to each of the 242 populations of the 26 most abundant species that had more than 15 individuals per plot.</p>  <p>Most seedling populations exhibited clustered spatial patterns that persisted in the adult stage, which suggests that short\uffe2\uff80\uff90distance dispersal is an adaptive trait for soil specialists such as gypsophilous plants. One\uffe2\uff80\uff90third of the populations fitted an inhomogeneous model best but the physical structure of the biocrust was not related to them. More importantly, we found a connection between the functional strategies of species and the spatial distribution of plants. In particular, during the dry year, irrespective of the biocrust conditions, species with a high SLA and high Rep/Veg mainly exhibited clustered spatial patterns, whereas low SLA and low Rep/Veg were associated with random distributions. Species with heavy and light seed masses had random and clustered patterns, respectively. In both the dry and wet years, species with lower maximum heights had clustered patterns, whereas taller species exhibited random patterns. In addition, species with heavier seeds and greater maximum heights had the largest cluster sizes.</p>  <p>Our results confirm that the spatial patterns of seedlings and adult plants are significantly determined by the functional strategy of each species.</p>  </p><p>Read the free Plain Language Summary for this article on the Journal blog.</p", "keywords": ["2. Zero hunger", "0106 biological sciences", "point pattern analysis", "04 agricultural and veterinary sciences", "15. Life on land", "seed mass", "01 natural sciences", "maximum plant height", "biological soil crust", "seed dispersal", "reproductive/vegetative biomass ratio", "gypsophyte", "0401 agriculture", " forestry", " and fisheries", "specific leaf area"]}, "links": [{"href": "https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2435.14304"}, {"href": "https://doi.org/10.1111/1365-2435.14304"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Functional%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/1365-2435.14304", "name": "item", "description": "10.1111/1365-2435.14304", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/1365-2435.14304"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-13T00:00:00Z"}}, {"id": "10.1111/j.1365-2435.2009.01683.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:19:31Z", "type": "Journal Article", "created": "2010-01-28", "title": "Impacts Of Experimentally Imposed Drought On Leaf Respiration And Morphology In An Amazon Rain Forest", "description": "Summary<p> 1.\uffe2\uff80\uff82The Amazon region may experience increasing moisture limitation over this century. Leaf dark respiration (R) is a key component of the Amazon rain forest carbon (C) cycle, but relatively little is known about its sensitivity to drought.</p><p> 2.\uffe2\uff80\uff82Here, we present measurements of R standardized to 25\uffe2\uff80\uff83\uffc2\uffb0C and leaf morphology from different canopy heights over 5\uffe2\uff80\uff83years at a rain forest subject to a large\uffe2\uff80\uff90scale through\uffe2\uff80\uff90fall reduction (TFR) experiment, and nearby, unmodified Control forest, at the Caxiuan\uffc3\uffa3 reserve in the eastern Amazon.</p><p> 3.\uffe2\uff80\uff82In all five post\uffe2\uff80\uff90treatment measurement campaigns, mean R at 25\uffe2\uff80\uff83\uffc2\uffb0C was elevated in the TFR forest compared to the Control forest experiencing normal rainfall. After 5\uffe2\uff80\uff83years of the TFR treatment, R per unit leaf area and mass had increased by 65% and 42%, respectively, relative to pre\uffe2\uff80\uff90treatment means. In contrast, leaf area index (L) in the TFR forest was consistently lower than the Control, falling by 23% compared to the pre\uffe2\uff80\uff90treatment mean, largely because of a decline in specific leaf area (S).</p><p> 4.\uffe2\uff80\uff82The consistent and significant effects of the TFR treatment on R, L and S suggest that severe drought events in the Amazon, of the kind that may occur more frequently in future, could cause a substantial increase in canopy carbon dioxide emissions from this ecosystem to the atmosphere.</p>", "keywords": ["tropical forest", "0301 basic medicine", "Through-fall exclusion experiment", "moisture transfer", "03 medical and health sciences", "Specific leaf area", "Amazonia", "Tropical forest", "Keywords: carbon cycle", "Climate change", "Para [Brazil] Climate change", "Caxiuana National Forest", "0303 health sciences", "leaf area index", "Night-time foliar carbon emissions", "exclusion experiment", "15. Life on land", "6. Clean water", "Leaf dark respiration", "forest canopy", "Moisture deficit", "climate change", "13. Climate action", "Leaf area index", "carbon emission", "throughfall", "rainforest", "Brazil"]}, "links": [{"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/79379/5/f5625xPUB7833.pdf.jpg"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/79379/7/01_Metcalfe_Impacts_of_experimentally_2010.pdf.jpg"}, {"href": "https://doi.org/10.1111/j.1365-2435.2009.01683.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Functional%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-2435.2009.01683.x", "name": "item", "description": "10.1111/j.1365-2435.2009.01683.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2435.2009.01683.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-04-08T00:00:00Z"}}, {"id": "10.1111/j.1365-2486.2006.01118.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:19:33Z", "type": "Journal Article", "created": "2006-04-23", "title": "Woody Biomass Production During The Second Rotation Of A Bio-Energy Populus Plantation Increases In A Future High Co2 World", "description": "Abstract<p>The quickly rising atmospheric carbon dioxide (CO2)\uffe2\uff80\uff90levels, justify the need to explore all carbon (C) sequestration possibilities that might mitigate the current CO2increase. Here, we report the likely impact of future increases in atmospheric CO2on woody biomass production of three poplar species (Populus albaL. clone 2AS\uffe2\uff80\uff9011,Populus nigraL. clone Jean Pourtet andPopulus\uffc3\uff97euramericanaclone I\uffe2\uff80\uff90214). Trees were growing in a high\uffe2\uff80\uff90density coppice plantation during the second rotation (i.e., regrowth after coppice; 2002\uffe2\uff80\uff932004; POPFACE/EUROFACE). Six plots were studied, half of which were continuously fumigated with CO2(FACE; free air carbon dioxide enrichment of 550\uffe2\uff80\uff83ppm). Half of each plot was fertilized to study the interaction between CO2and nutrient fertilization. At the end of the second rotation, selective above\uffe2\uff80\uff90 and belowground harvests were performed to estimate the productivity of this bio\uffe2\uff80\uff90energy plantation. Fertilization did not affect growth of the poplar trees, which was likely because of the high rates of fertilization during the previous agricultural land use. In contrast, elevated CO2enhanced biomass production by up to 29%, and this stimulation did not differ between above\uffe2\uff80\uff90 and belowground parts. The increased initial stump size resulting from elevated CO2during the first rotation (1999\uffe2\uff80\uff932001) could not solely explain the observed final biomass increase. The larger leaf area index after canopy closure and the absence of any major photosynthetic acclimation after 6 years of fumigation caused the sustained CO2\uffe2\uff80\uff90induced biomass increase after coppice. These results suggest that, under future CO2concentrations, managed poplar coppice systems may exhibit higher potential for C sequestration and, thus, help mitigate climate change when used as a source of C\uffe2\uff80\uff90neutral energy.</p>", "keywords": ["2. Zero hunger", "580", "0106 biological sciences", "570", "atmospheric co2", "elevated co2", "n-fertilization", "Global and Planetary Change", "Ecology", "growth", "enrichment face", "hybrid poplar", "04 agricultural and veterinary sciences", "15. Life on land", "7. Clean energy", "01 natural sciences", "pinus-taeda", "poplar plantation", "Bio-energy; Biomass distribution; EUROFACE; FACE; Fertilization; Leaf area index; Photosynthesis; Populus; Short rotation coppice; Woody biomass", "13. Climate action", "no3 availability", "Environmental Chemistry", "0401 agriculture", " forestry", " and fisheries", "water-stress", "General Environmental Science"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-2486.2006.01118.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-2486.2006.01118.x", "name": "item", "description": "10.1111/j.1365-2486.2006.01118.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2486.2006.01118.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-04-13T00:00:00Z"}}, {"id": "10.1111/j.1365-3040.2004.01231.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:19:38Z", "type": "Journal Article", "created": "2004-10-06", "title": "Functional Diversity Of Photosynthesis During Drought In A Model Tropical Rainforest - The Contributions Of Leaf Area, Photosynthetic Electron Transport And Stomatal Conductance To Reduction In Net Ecosystem Carbon Exchange", "description": "ABSTRACT<p>The tropical rainforest mesocosm within the Biosphere 2 Laboratory, a model system of some 110 species developed over 12\uffe2\uff80\uff83years under controlled environmental conditions, has been subjected to a series of comparable drought experiments during 2000\uffe2\uff80\uff932002. In each study, the mesocosm was subjected to a 4\uffe2\uff80\uff936 week drought, with well\uffe2\uff80\uff90defined rainfall events before and after the treatment. Ecosystem CO2 uptake rate (Aeco) declined 32% in response to the drought, with changes occurring within days and being reversible within weeks, even though the deeper soil layers did not become significantly drier and leaf\uffe2\uff80\uff90level water status of most large trees was not greatly affected. The reduced Aeco during the drought reflected both morphological and physiological responses. It is estimated that the drought\uffe2\uff80\uff90induced 32% reduction of Aeco has three principal components: (1) leaf fall increased two\uffe2\uff80\uff90fold whereas leaf expansion growth of some canopy dominants declined to 60%, leading to a 10% decrease in foliage coverage of the canopy. This might be the main reason for the persistent reduction of Aeco after rewatering. (2) The maximum photosynthetic electron transport rate at high light intensities in remaining leaves was reduced to 71% for three of the four species measured, even though no chronic photo\uffe2\uff80\uff90inhibition occurred. (3) Stomata closed, leading to a reduced ecosystem water conductance to water vapour (33% of pre\uffe2\uff80\uff90drought values), which not only reduced ecosystem carbon uptake rate, but may also have implications for water and energy budgets of tropical ecosystems. Additionally, individual rainforest trees responded differently, expressing different levels of stress and stress avoiding mechanisms. This functional diversity renders the individual response heterogeneous and has fundamental implications to scale leaf level responses to ecosystem dynamics.</p>", "keywords": ["580", "0301 basic medicine", "leaf area", "net ecosystem CO(2) exchange", "photosynthesis", "CLIMATE-CHANGE", "chlorophyll fluorescence", "CANOPY TREE", "drought", "15. Life on land", "6. Clean water", "FRENCH-GUIANA", "03 medical and health sciences", "leaf fall", "tropical trees KeyWords Plus: ATMOSPHERIC CO2 CONCENTRATIONS", "PHOTOSYSTEM-II", "XANTHOPHYLL CYCLE", "WATER-VAPOR", "L LEAVES", "13. Climate action", "leaf growth", "tropical rainforest", "photosynthetic electron transport", "GAS-EXCHANGE"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-3040.2004.01231.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%2C%20Cell%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-3040.2004.01231.x", "name": "item", "description": "10.1111/j.1365-3040.2004.01231.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-3040.2004.01231.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-10-01T00:00:00Z"}}, {"id": "10.15201/hungeobull.69.3.4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:20:23Z", "type": "Journal Article", "created": "2020-10-02", "title": "Crop growth, carbon sequestration and soil erosion in an organic vineyard of the Vill\u00e1ny Wine District, Southwest Hungary", "description": "<p>A more resilient adaptation to changing climate calls for crop diversification in vineyards, too. As a contribution to the H2020 collaborative project of the European Union, called Diverfarming, and part of the agroecological experiments during 2018 and 2019, grapevine biomass growth was monitored in connection with carbon storage types in soil and in the deposits removed by soil erosion. Phenometry was carried out interpreting segmented images to follow changes in biomass. It was found that crop growth could be best described by the Richards growth function. The distinction between grapevine and intercrop growth, however, requires further refinement in image analysis. In the laboratory TOC and Ntotal were measured for both the soil and the plant organs as well as for the eroded sediments. Greenhouse gas emissions and photosynthesis were monitored. Looking at the change of Leaf Area Index (LAI) over the growing period, image analysis pointed out the role of cut shoots from pruning in the C and N cycles. Maximum leaf area (at ripening) for guyot cultivation technique was extimated at 7,840 m2 ha-1. Soil loss by erosion was established by sediment traps at the end of vinestock rows. The grain size distribution analysis led to the remarkable result that as erosion proceeded, the ratio of the sand fraction increased but remained within the range for the textural class of loam. Organic matter contents grew to 38 g kg-1. The rate of soil erosion is higher in ploughed than in grassed interrows by orders of magnitude.</p>", "keywords": ["2. Zero hunger", "Geography (General)", "soil erosion", "leaf area index", "biomass", "Leaf Area Index", "04 agricultural and veterinary sciences", "15. Life on land", "C/N ratio", "carbon sequestration", "crop diversification", "image analysis", "13. Climate action", "G1-922", "0401 agriculture", " forestry", " and fisheries", "phenometry", "c/n ratio", "organic vineyard"]}, "links": [{"href": "https://doi.org/10.15201/hungeobull.69.3.4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hungarian%20Geographical%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.15201/hungeobull.69.3.4", "name": "item", "description": "10.15201/hungeobull.69.3.4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15201/hungeobull.69.3.4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-02T00:00:00Z"}}, {"id": "10.3390/rs12244018", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:21:51Z", "type": "Journal Article", "created": "2020-12-08", "title": "Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In Morocco, cereal production shows high interannual variability due to uncertain rainfall and recurrent drought periods. Considering the socioeconomic importance of cereal for the country, there is a serious need to characterize the impact of drought on cereal yields. In this study, drought is assessed through (1) indices derived from remote sensing data (the vegetation condition index (VCI), temperature condition index (TCI), vegetation health ind ex (VHI), soil moisture condition index (SMCI) and soil water index for different soil layers (SWI)) and (2) key land surface variables (Land Area Index (LAI), soil moisture (SM) at different depths, soil evaporation and plant transpiration) from a Land Data Assimilation System (LDAS) over 2000\u20132017. A lagged correlation analysis was conducted to assess the relationships between the drought indices and cereal yield at monthly time scales. The VCI and LAI around the heading stage (March-April) are highly linked to yield for all provinces (R = 0.94 for the Khemisset province), while a high link for TCI occurs during the development stage in January-February (R = 0.83 for the Beni Mellal province). Interestingly, indices related to soil moisture in the superficial soil layer are correlated with yield earlier in the season around the emergence stage (December). The results demonstrate the clear added value of using an LDAS compared with using a remote sensing product alone, particularly concerning the soil moisture in the root-zone, considered a key variable for yield production, that is not directly observable from space. The time scale of integration is also discussed. By integrating the indices on the main phenological stages of wheat using a dynamic threshold approach instead of the monthly time scale, the correlation between indices and yield increased by up to 14%. In addition, the contributions of VCI and TCI to VHI were optimized by using yield anomalies as proxies for drought. This study opens perspectives for the development of drought early warning systems in Morocco and over North Africa, as well as for seasonal crop yield forecasting.</p></article>", "keywords": ["[SDE] Environmental Sciences", "550", "Science", "0207 environmental engineering", "Agricultural drought", "02 engineering and technology", "01 natural sciences", "630", "Environmental science", "remote sensing", "Land data assimilation systems", "Pathology", "assimilation systems", "Biology", "land data assimilation systems", "0105 earth and related environmental sciences", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Water content", "Ecology", "Drought", "Global Forest Drought Response and Climate Change", "Q", "Hydrology (agriculture)", "Geology", "cereal yield", "Remote Sensing in Vegetation Monitoring and Phenology", "FOS: Earth and related environmental sciences", "Remote sensing", "semiarid region", "15. Life on land", "agricultural drought", "Agronomy", "6. Clean water", "Cereal yield", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "[SDE]Environmental Sciences", "Global Drought Monitoring and Assessment", "Environmental Science", "Physical Sciences", "Leaf area index", "Medicine", "Semiarid region", "land data", "Vegetation (pathology)"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://doi.org/10.3390/rs12244018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs12244018", "name": "item", "description": "10.3390/rs12244018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12244018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-08T00:00:00Z"}}, {"id": "10.3390/rs71114708", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:21:52Z", "type": "Journal Article", "created": "2015-11-05", "title": "Estimation of Evapotranspiration and Crop Coefficients of Tendone Vineyards Using Multi-Sensor Remote Sensing Data in a Mediterranean Environment", "description": "<p>The sustainable management of water resources plays a key role in Mediterranean viticulture, characterized by scarcity and competition of available water. This study focuses on estimating the evapotranspiration and crop coefficients of table grapes vineyards trained on overhead \uffe2\uff80\uff9ctendone\uffe2\uff80\uff9d systems in the Apulia region (Italy). Maximum vineyard transpiration was estimated by adopting the \uffe2\uff80\uff9cdirect\uffe2\uff80\uff9d methodology for ETp proposed by the Food and Agriculture Organization in Irrigation and Drainage Paper No. 56, with crop parameters estimated from Landsat 8 and RapidEye satellite data in combination with ground-based meteorological data. The modeling results of two growing seasons (2013 and 2014) indicated that canopy growth, seasonal and 10-day sums evapotranspiration values were strictly related to thermal requirements and rainfall events. The estimated values of mean seasonal daily evapotranspiration ranged between 4.2 and 4.1 mm\uffc2\uffb7d\uffe2\uff88\uff921, while midseason estimated values of crop coefficients ranged from 0.88 to 0.93 in 2013,  and 1.02 to 1.04 in 2014, respectively. The experimental evapotranspiration values calculated represent the maximum value in absence of stress, so the resulting crop coefficients should be used with some caution. It is concluded that the retrieval of crop parameters and evapotranspiration derived from remotely-sensed data could be helpful for downscaling to the field the local weather conditions and agronomic practices and thus may be the basis for supporting grape growers and irrigation managers.</p>", "keywords": ["Landsat 8", "2. Zero hunger", "0106 biological sciences", "Evapotranspiration", "leaf area index", "Science", "Q", "evapotranspiration", "table grapes", "Remote sensing", "15. Life on land", "Vineyards", "01 natural sciences", "6. Clean water", "evapotranspiration; crop coefficient; leaf area index; Landsat 8; RapidEye; remote sensing; vineyards; table grapes", "Crop coefficient; Evapotranspiration; Landsat 8; Leaf area index; RapidEye; Remote sensing; Table grapes; Vineyards; Earth and Planetary Sciences (all)", "remote sensing", "vineyards", "Table grapes", "Crop coefficient", "Leaf area index", "RapidEye", "Earth and Planetary Sciences (all)", "crop coefficient"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/7/11/14708/pdf"}, {"href": "https://www.iris.unina.it/bitstream/11588/637935/1/remotesensing2015-07-14708.pdf"}, {"href": "https://doi.org/10.3390/rs71114708"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs71114708", "name": "item", "description": "10.3390/rs71114708", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs71114708"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-11-05T00:00:00Z"}}, {"id": "10.3389/fpls.2023.1095790", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:21:35Z", "type": "Journal Article", "created": "2023-06-05", "title": "Cultivar-dependent differences in tuber growth cause increased soil resistance in potato fields", "description": "<p>Since soil compaction of potato fields delays shoot emergence and decreases total yield, the causes and effects of this compaction need to be better understood. In a controlled environment trial with young (before tuber initiation) plants, roots of cv. Inca Bella (a phureja group cultivar) were more sensitive to increased soil resistance (3.0 MPa) than cv. Maris Piper (a tuberosum group cultivar). Such variation was hypothesized to cause yield differences in two field trials, in which compaction treatments were applied after tuber planting. Trial 1 increased initial soil resistance from 0.15 MPa to 0.3 MPa. By the end of the growing season, soil resistance increased three-fold in the upper 20\uffc2\uffa0cm of the soil, but resistance in Maris Piper plots was up to twice that of Inca Bella plots. Maris Piper yield was 60% higher than Inca Bella and independent of soil compaction treatment, whilst compacted soil reduced Inca Bella yield by 30%. Trial 2 increased initial soil resistance from 0.2 MPa to 1.0 MPa. Soil resistance in the compacted treatments increased to similar, cultivar-dependent resistances as trial 1. Maris Piper yield was 12% higher than Inca Bella, but cultivar variation in yield response to compacted soil did not occur. Soil water content, root growth and tuber growth were measured to determine whether these factors could explain cultivar differences in soil resistance. Soil water content was similar between cultivars, thus did not cause soil resistance to vary between cultivars. Root density was insufficient to cause observed increases soil resistance. Finally, differences in soil resistance between cultivars became significant during tuber initiation, and became more pronounced until harvest. Increased tuber biomass volume (yield) of Maris Piper increased estimated mean soil density (and thus soil resistance) more than Inca Bella. This increase seems to depend on initial compaction, as soil resistance did not significantly increase in uncompacted soil. While increased soil resistance caused cultivar-dependent restriction of root density of young plants that was consistent with cultivar variation in yield, tuber growth likely caused cultivar-dependent increases in soil resistance in field trials, which may have further limited Inca Bella yield.</p", "keywords": ["2. Zero hunger", "soil compaction", "570", "leaf area", "root growth", "Plant culture", "Plant Science", "15. Life on land", "soil moisture", "630", "tuber yield", "SB1-1110"], "contacts": [{"organization": "Skilleter, Patrick, Nelson, David, Dodd, Ian C.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.3389/fpls.2023.1095790"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fpls.2023.1095790", "name": "item", "description": "10.3389/fpls.2023.1095790", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2023.1095790"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-05T00:00:00Z"}}, {"id": "10.3390/agronomy11122480", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:21:38Z", "type": "Journal Article", "created": "2021-12-07", "title": "Performance evaluation of the WOFOST model for estimating evapotranspiration, soil water content, grain yield and total above-ground biomass of winter wheat in Tensift Al Haouz (Morocco): Application to yield gap estimation", "description": "<p>The main goal of this investigation was to evaluate the potential of the WOFOST model for estimating leaf area index (LAI), actual evapotranspiration (ETa), soil moisture content (SM), above-ground biomass levels (TAGP) and grain yield (TWSO) of winter wheat in the semi-arid region of Tensift Al Haouz, Marrakech (central Morocco). An application for the estimation of the Yield Gap is also provided. The model was firstly calibrated based on three fields data during the 2002\uffe2\uff80\uff932003 and 2003\uffe2\uff80\uff932004 growing seasons, by using the WOFOST implementation in the Python Crop simulation Environment (PCSE) to optimize the different parameters that provide the minimum difference between the measured and simulated LAI, TAGP, TWSO, SM and ETa. Then, the model validation was performed based on the data from five other wheat fields. The results obtained showed a good performance of the WOFOST model for the estimation of LAI during both growing seasons on all validation fields. The average R2, RSME and NRMSE were 91.4%, 0.57 m2/m2, and 41.4%, respectively. The simulated ETa dynamics also showed a good agreement with the observations by eddy covariance systems. Values of 60% and 72% for R2, 0.8 mm and 0.7 mm for RMSE, 54% and 31% for NRMSE are found for the two validation fields, respectively. The model\uffe2\uff80\uff99s ability to predict soil moisture content was also found to be satisfactory; the two validation fields gave R2 values equal to 48% and 49%, RMSE values equal to 0.03 cm3/cm3 and 0.05 cm3/cm3, NRMSE values equal to 11% and 19%. The calibrated model had a medium performance with respect to the simulation of TWSO (R2 = 42%, RSME = 512 kg/ha, NRMSE = 19%) and TAGP (R2 = 34% and RSME = 936 kg/ha, NRMSE = 16%). After accurate calibration and validation of the WOFOST model, it was used for analyzing the gap yield since this model is able to estimate the potential yield. The WOFOST model allowed a good simulation of the potential yield (7.75 t/ha) which is close to the optimum value of 6.270 t/ha in the region. Yield gap analysis reveals a difference of 5.35 t/ha on average between the observed yields and the potential yields calculated by WOFOST. Such difference is ascribable to many factors such as the crop cycle management, agricultural practices such as water and fertilization supply levels, etc. The various simulations (irrigation scenarios) showed that early sowing is more adequate than late sowing in saving water and obtaining adequate grain yield. Based on various simulations, it has been shown that the early sowing (mid to late December) is more adequate than late sowing with a total amount of water supply of about 430 mm and 322 kg (140 kg of N, 80 kg of P and 102 kg of K) of fertilization to achieve the potential yield. Consequently, the WOFOST model can be considered as a suitable tool for quantitative monitoring of winter wheat growth in the arid and semi-arid regions.</p>", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "estimation", "550", "leaf area index", "S", "gap yield", "evapotranspiration", "Agriculture", "04 agricultural and veterinary sciences", "crop yield", "total biomass", "15. Life on land", "WOFOST", "630", "Tensift Morocco", "winter wheat", "crop modelling; WOFOST; Tensift Morocco; evapotranspiration; crop yield estimation; soil moisture; leaf area index; total biomass; winter wheat; gap yield", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "soil moisture", "crop modelling", "crop yield estimation"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2480/pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/12/2480/pdf"}, {"href": "https://doi.org/10.3390/agronomy11122480"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11122480", "name": "item", "description": "10.3390/agronomy11122480", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11122480"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-07T00:00:00Z"}}, {"id": "10.3390/agronomy9050255", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:21:39Z", "type": "Journal Article", "created": "2019-05-21", "title": "Assimilation of Sentinel-2 Leaf Area Index Data into a Physically-Based Crop Growth Model for Yield Estimation", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Remote sensing data, crop growth models, and optimization routines constitute a toolset that can be used together to map crop yield over large areas when access to field data is limited. In this study, Leaf Area Index (LAI) data from the Copernicus Sentinel-2 satellite were combined with the Environmental Policy Integrated Climate (EPIC) model to estimate crop yield using a re-calibration data assimilation approach. The experiment was implemented for a winter wheat crop during two growing seasons (2016 and 2017) under four different fertilization management strategies. A number of field measurements were conducted spanning from LAI to biomass and crop yields. LAI showed a good correlation between the Sentinel-2 estimates and the ground measurements using non-destructive method. A correlating fit between satellite LAI curves and EPIC modelled LAI curves was also observed. The assimilation of LAI in EPIC provided an improvement in yield estimation in both years even though in 2017 strong underestimations were observed. The diverging results obtained in the two years indicated that the assimilation framework has to be tested under different environmental conditions before being applied on a larger scale with limited field data.</p></article>", "keywords": ["2. Zero hunger", "yield estimation", "S", "Leaf Area Index", "EPIC model", "Agriculture", "Crop growth model", "04 agricultural and veterinary sciences", "15. Life on land", "crop growth model", "Yield estimation", "13. Climate action", "Leaf area index", "Data assimilation", "0401 agriculture", " forestry", " and fisheries", "Sentinel-2", "data assimilation"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/9/5/255/pdf"}, {"href": "https://www.mdpi.com/2073-4395/9/5/255/pdf"}, {"href": "https://doi.org/10.3390/agronomy9050255"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy9050255", "name": "item", "description": "10.3390/agronomy9050255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy9050255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-21T00:00:00Z"}}, {"id": "10.3390/f13070998", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:21:42Z", "type": "Journal Article", "created": "2022-06-25", "title": "Effects of Elevated Atmospheric CO2 Concentration on Insect Herbivory and Nutrient Fluxes in a Mature Temperate Forest", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Insect herbivory is one of the most important ecological processes affecting plant\u2013soil feedbacks and overall forest ecosystem health. In this study, we assess how elevated carbon dioxide (eCO2) impacts (i) leaf level insect herbivory and (ii) the stand-level herbivore-mediated transfer of carbon (C) and nitrogen (N) from the canopy to the ground in a natural mature oak temperate forest community in central England at the Birmingham Institute of Forest Research Free Air CO2 Enrichment (BIFoR FACE) site. Recently abscised leaves were collected every two weeks through the growing season in August to December from 2017\u20132019, with the identification of four dominant species: Quercus robur (pedunculate oak), Acer pseudoplatanus (sycamore), Crataegus monogyna (common hawthorn) and Corylus avellana (hazel). The selected leaves were scanned and visually analyzed to quantify the leaf area loss from folivory monthly. Additionally, the herbivore-mediated transfer of C and N fluxes from the dominant tree species Q. robur was calculated from these leaf-level folivory estimates, the total foliar production and the foliar C and N contents. This study finds that the leaf-level herbivory at the BIFoR FACE has not changed significantly across the first 3 years of eCO2 treatment when assessed across all dominant tree species, although we detected significant changes under the eCO2 treatment for individual tree species and years. Despite the lack of any strong leaf-level herbivory response, the estimated stand-level foliar C and N transferred to the ground via herbivory was substantially higher under eCO2, mainly because there was a ~50% increase in the foliar production of Q. robur under eCO2. This result cautions against concluding much from either the presence or absence of leaf-level herbivory responses to any environmental effect, because their actual ecosystem effects are filtered through so many (usually unmeasured) factors.</p></article>", "keywords": ["Ekologi", "0106 biological sciences", "Ecology", "Skogsvetenskap", "carbon", "Forest Science", "leaf area loss", "15. Life on land", "01 natural sciences", "nitrogen", "13. Climate action", "nutrient transfer", "carbon; free-air CO<sub>2</sub> enrichment (FACE); leaf area loss; nitrogen; nutrient transfer", "free-air CO2 enrichment (FACE)"]}, "links": [{"href": "http://www.mdpi.com/1999-4907/13/7/998/pdf"}, {"href": "https://www.mdpi.com/1999-4907/13/7/998/pdf"}, {"href": "https://doi.org/10.3390/f13070998"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forests", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/f13070998", "name": "item", "description": "10.3390/f13070998", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/f13070998"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-24T00:00:00Z"}}, {"id": "10.3390/s19040904", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:21:53Z", "type": "Journal Article", "created": "2019-02-22", "title": "Multi-Crop Green LAI Estimation with a New Simple Sentinel-2 LAI Index (SeLI)", "description": "<p>The spatial quantification of green leaf area index (LAIgreen), the total green photosynthetically active leaf area per ground area, is a crucial biophysical variable for agroecosystem monitoring. The Sentinel-2 mission is with (1) a temporal resolution lower than a week, (2) a spatial resolution of up to 10 m, and (3) narrow bands in the red and red-edge region, a highly promising mission for agricultural monitoring. The aim of this work is to define an easy implementable LAIgreen index for the Sentinel-2 mission. Two large and independent multi-crop datasets of in situ collected LAIgreen measurements were used. Commonly used LAIgreen indices applied on the Sentinel-2 10 m \uffc3\uff97 10 m pixel resulted in a validation R2 lower than 0.6. By calculating all Sentinel-2 band combinations to identify high correlation and physical basis with LAIgreen, the new Sentinel-2 LAIgreen Index (SeLI) was defined. SeLI is a normalized index that uses the 705 nm and 865 nm centered bands, exploiting the red-edge region for low-saturating absorption sensitivity to photosynthetic vegetation. A R2 of 0.708 (root mean squared error (RMSE) = 0.67) and a R2 of 0.732 (RMSE = 0.69) were obtained with a linear fitting for the calibration and validation datasets, respectively, outperforming established indices. Sentinel-2 LAIgreen maps are presented.</p>", "keywords": ["2. Zero hunger", "leaf area index", "Chemical technology", "0211 other engineering and technologies", "TP1-1185", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "crops", "7. Clean energy", "Article", "remote sensing", "13. Climate action", "vegetation indices", "red-edge", "0401 agriculture", " forestry", " and fisheries", "Sentinel-2"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/19/4/904/pdf"}, {"href": "https://doi.org/10.3390/s19040904"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s19040904", "name": "item", "description": "10.3390/s19040904", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s19040904"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-21T00:00:00Z"}}, {"id": "10.5061/dryad.51c59zwgj", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:22:12Z", "type": "Dataset", "created": "2024-04-02", "title": "Data from: Evidence for reductions in physical and chemical plant defense traits in island flora", "description": "Open Access# Evidence for Reductions in Physical and Chemical Plant Defense Traits in  Island Flora  [https://doi.org/10.5061/dryad.51c59zwgj](https://doi.org/10.5061/dryad.51c59zwgj) This dataset consists of three primary data sources: (1) Morphological and chemical measurements of leaf traits, collected from five taxonomic pairs of chaparral shrubs (*Ceanothus megacarpus*, *Cercocarpus betuloides*, *Dendromecon rigida/harfordii*, *Heteromeles arbutifolia*, *Prunus ilicifolia*) at three sites on the California Channel Islands (Santa Rosa, Santa Cruz, Santa Catalina) and three sites on the California mainland. (2) Morphological and chemical measurements of the same leaf traits from the same species, but this time measured from plants growing at botanic gardens (3) Morphological, chemical, and biomass data from a common garden experiment with *Stachys bullata*, with genotypes from two islands (Santa Rosa, Santa Cruz) and four mainland locations In addition, our analysis also includes bioclimatic data and local precipitation data accessed from publicly available sources. ## Description of the data and file structure This dataset is organized into two folders: **data_files** and **scripts** --- ***DATA_FILES*** Within the **data_files** folder, there are folders for '**Shrubs**' (corresponding to 1 and 2 above) and '**Stachys**' (corresponding to 3 above). **SHRUBS** The **Shrubs** folder contains one file (**Bowen and Van Vuren Effect Sizes.xlsx**), which summarizes the results from Bowen and Van Vuren (1997 ([https://www.jstor.org/stable/2387407](https://www.jstor.org/stable/2387407), directly as reported in their Tables 2, 3, 4, and 5 in the main text. Variables in this datafile include: 1. Trait - the plant trait that was measured in their study 2. Genus - the taxonomic unit being measured 3. t - the value of the t-statistic from a paired t-test of island vs. mainland samples for a given genus 4. n island - sample size for island plants 5. n mainland - sample size for mainland plants 6. Cohen's D - derived value that expresses insularity effect size for a given measure The **Shrubs** folder also contains four subfolders: **Cyanide**, **Images**, **Mapping**, and **Morphology** The **Cyanide** folder contains two files: 1. **cyanide_calibration.csv** - file containing measurements used to define calibration curve for quantifying evolved HCN from leaf tissue. 1. conc = concentration of potassium cyanide (KCN) standard used in calibration (mg/L) 2. abs = absorbance value returned by VWR V-1200 spectrometer, measured at 510 nm 2. **cyanide_measurements.csv** - file containing measurements of evolved HCN from field and botanic garden leaf tissue. PlantID values are the same as those reported for all other morphological measurements. 'NA' values in this dataset correspond to samples whose absorbance values were outside the range of our calibration curve or that were otherwise not suitable to include in analysis. 1. Age = whether leaf tissue was newly expanded ('young') or mature ('old') 2. Tissue_Mass = amount of frozen tissue used in assay (mg) 3. Dilution 1 = amount of water (mL) into which evolved HCN (in NaOH) was added prior to titration with citric acid. This value is 30 mL for all samples. 4. Dilution 2 = dilution factor. Here, a value of 1 means that 5 mL of citrate buffer was mixed with 5 mL water (1:1 ratio) and used in the subsequent reaction. A value of 10 means that 1 mL of citrate buffer was mixed with 10 mL water (1:10 ratio). 5. Sample Concentration = concentration of HCN in sample (mg/L), calculated using the calibration curve above. Samples with absorbance values above 0.500 were omitted and re-measured at reduced concentration, as this was beyond the concentration limit recommended by the manufacturer instructions. 6. Tissue Concentration = value relating dilution factor and sample mass to sample concentration. Expressed in milligrams of HCN per gram of leaf tissue. The **Images** folder contains all scanned leaf images (n = 626). File names correspond to plant species, plant ID, sampling site, and canopy position (see chaparral_leaf_morphology.csv below for a full description). So, for example, CMEG44_SMM_Upper refers to Ceanothus megacarpus, Plant ID = 44, sampled from the Santa Monica Mountains (SMM), upper canopy. Note also that each leaf within each image is individually numbered. The **Mapping** folder contains two files: 1. **shrubs_coordinates.csv** - contains coordinates and elevation for all field-sampled plants, recorded using a handheld Garmin GPS unit 2. **site_coordinates.csv** - contains broad site-level coordinates used for making map in Figure 1 The **Morphology** folder contains two files: 1. **chaparral_leaf_morphology.csv** - the primary datafile for this study, with each row (n = 5665) corresponding to a single leaf. For a visual depiction of the measurement protocol, see Supplemental Figures. Leaf measurements reported as NA generally correspond to leaves that were severely damaged, from which measurements could be reliably taken. 1. Index = sorting variable 2. IM = refers to whether a given plant was growing at an island or mainland site 3. Source = the original provenance of a given plant. For all field-sampled plants, the value here is the same as the value for 'Site' 4. Site = the location where plants were sampled. Includes all field sampling locations as well as the two botanic gardens 5. Exclosure = yes/no variable, only relevant to Catalina Island, describing whether sampled plant was inside of a deer exclosure 6. Species = taxon being measured 7. Plant = Plant ID, a unique value for each individual plant. Note that botanic garden samples have their own non-integer codes, and for Rancho Santa Ana Botanic Garden, these codes can be cross-referenced against the garden's living collections 8. Position = refers to whether a sampled branch came from the upper (&gt;2m) or lower portion of the plant's canopy 9. Aspect = recorded from the Garmin GPS, refers to predominant downward slope direction. Not recorded for botanic garden plants (marked as NA) or for plants from completely flat ground. 10. Elevation = elevation in meters of sampled plants 11. Diameter1 = diameter (cm) of the primary plant trunk at 0.25m (NA means that stem could not be reliably measured) 12. Diameter2 = diameter (cm) of any secondary plant trunk at 0.25m (only applicable for multi-stemmed plants; NA means that stem could not be reliably measured) 13. Stem_Area = derived measure of stem area (cm^2), based on trunk diameter, used as a rough proxy for plant age (NA means that stem could not be reliably measured) 14. 1st_year = refers to whether an individual leaf was newly emerged growth (1) or fully expanded and mature (0) 15. Leaf_ID = corresponds to the numbers in each leaf scan; identifies each individual leaf from a given branch 16. Leaf_Length = leaf length (cm) along its primary axis, excluding the petiole 17. Leaf_Area_petiole = leaf area (cm^2), including the petiole 18. Leaf_Area_no.petiole = leaf area (cm^2), excluding the petiole 19. Internal_area_correction = cumulative area of any 'holes' missing within the leaf perimeter (cm^2) 20. True_area = Leaf_Area_no.petiole minus Internal_area_correction (cm^2) 21. Leaf_area_corrected = leaf area, after manually filling in gaps missing due to presumed herbivore damage (cm^2) 22. Leaf_area_corrected_final = Leaf_area_corrected minus Internal_area_correction (cm^2) 23. Area_no_spines = leaf area after connecting vertices created by leaf spines (cm^2), using to calculate spinescence (%) 2. **shrub_leaf_masses.csv** - cumulative mass (g) of fully expanded leaf tissue from each branch, summed across all individual leaves. Used for calculating specific leaf area (SLA). **STACHYS** The **Stachys** folder contains three subfolders: **Chemistry**, **Morphology**, and **Setup** The **Chemistry** folder contains two files and one sub-directory: 1. **stachys_chromatograms** contains raw GC-MS readout for six leaf chemistry samples. Within each of the corresponding subfolders, the tic_front.csv file was used to generate the chromatograms shown in Figure 6A. 2. **stachys_compound_list.csv** is the full list of compounds detected in our samples. RT refers to the retention time (in minutes) of each compound. Identifications are putative. 3. **stachys_leaf_vocs.csv** is the full data matrix of leaf volatile compounds, with each sample as its own row and data columns each corresponding to a single compound. Values in this data matrix correspond to integrated peak areas, which are a proxy for the abundance of each compound. The **Morphology** folder contains two files: 1. **Anet-stbu.xlsx** contains gas exchange measurements for 26 plants measured in the common garden. The gas exchange column is net carbon assimilation, expressed as CO2 uptake per unit time per unit leaf area (\u00b5mol of CO2 m-2 s-1). 2. **sla_sbbg.csv** contains specific leaf area measurements for *Stachys* plants in the common garden. Note that plant #54 had died by the time of data collection, hence its values of NA across all columns. 1. ID = individual plant ID 2. SLA = cumulative area/ cumulative mass (cm^2/g) 3. leaves = refers to the number of leaves used for generating SLA measurement 4. area/leaf = cumulative area/ leaf number (cm^2/leaf) The **Setup** folder contains three files: 1. **321dailys.xls** is a file containing annual precipitation records (inches) for the Santa Barbara Botanic Garden, accessed from: [https://www.countyofsb.org/2328/Daily-Rainfall-Data-XLS](https://www.countyofsb.org/2328/Daily-Rainfall-Data-XLS) 2. **Field_Setup_SBBG.csv** is the primary file containing details on the primary garden experiment. Note that samples with masses recorded as NA were either dead at the time of sampling. Plants grown on Santa Cruz Island have values of NA for row and column, as this common garden was not arranged in a grid. 1. Index = individual plant ID 2. Population = provenance of plant 3. Garden = whether plants were grown at the Santa Barbara Botanic Garden (primary common garden site) or at the field station on Santa Cruz Island (secondary garden location with only Santa Cruz genotypes) 4. Genotype = identifier given to field-collected rhizomes, which were then propagated and split prior to planting out 5. Cumulative_Mass = mass (g) of paper bag and all of its contents, used for measuring end-of-season plant aboveground biomass 6. Bag_Mass = mass (g) of bag itself (without its contents) 7. Inside_Bag_Mass = mass (g) of smaller paper bags contained within larger bags, including all of their contents. Though not analyzed, these inside bags included all plant biomass collected from outside of the gopher cage that plants were growing in. 8. Inside_Bag_Only_Mass = as above, mass (g) of inner bag itself (without its contents) 9. Year = whether biomass was collected in 2016 or 2017 10. Row = grid location within common garden. Row 1 was at the bottom of the slope shown in Figure 2. 11. Column = grid location within common garden. 3. **stachys_coordinates.csv** contains coordinates for the six collecting sites, used to make the map in Figure 2. --- ***SCRIPTS*** All analyses for this project were conducted in the R programming language (version 4.1.3). Scripts used for analysis are arranged in two folders: **Shrubs** and **Stachys** The **Shrubs** folder contains the following scripts: 1. **coordinates_shrubs_stachys.R** - script used for generating all maps, including those in Figures 1 and 2 and the Google Earth maps in the supplementary figures 2. **cyanide_calibration.R** - script for plotting the calibration curve for relating evolved absorbance values to evolved HCN 3. **shrub_leaf_morphology_chemistry.R** - primary analysis script for manuscript, containing all major statistical analyses and plotting 4. **shrubs_BioClim.R** - script used for extracting bioclimatic data for field-sampled plants; containing code generating climate figures shown in supplementary materials The **Stachys** folder contains the following scripts: 1. **sbbg_precip_data.R** - very short script for summarizing water year totals for 2017 at the Santa Barbara Botanic Garden 2. **stachys_analysis.R** - primary script for generating all analyses and figures for *Stachys* common garden data 3. **stbu_gas_exchange.R** - script for analyzing gas exchange in common garden *Stachys* Note that for recreating some analyses and figures, users will need a Google Maps API key and will need to download data from the bioclim database. --- ## Sharing/Access information Data, code, and figures associated with this project are also available on GitHub at the following link: [https://github.com/micahfreedman/manuscripts/tree/master/Island_Mainland](https://github.com/micahfreedman/manuscripts/tree/master/Island_Mainland)", "keywords": ["Islands", "Morphology", "Dendromecon", "cyanogenic glycosides", "Ecology", "Terpenes", "Cercocarpus", "California Channel Islands", "Chemical ecology", "marginal spines", "Specific leaf area", "Plant science", "Heteromeles", "FOS: Biological sciences", "Stachys", "Other", "Prunus", "Herbivory", "Plant defenses", "Plant-herbivore interactions", "Ceanothus", "Ecology", " Evolution", " Behavior and Systematics"], "contacts": [{"organization": "Freedman, Micah", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.51c59zwgj"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.51c59zwgj", "name": "item", "description": "10.5061/dryad.51c59zwgj", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.51c59zwgj"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5194/egusphere-egu2020-21951", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:22:32Z", "type": "Journal Article", "created": "2019-05-21", "title": "Assimilation of Sentinel-2 Leaf Area Index Data into a Physically-Based Crop Growth Model for Yield Estimation", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Remote sensing data, crop growth models, and optimization routines constitute a toolset that can be used together to map crop yield over large areas when access to field data is limited. In this study, Leaf Area Index (LAI) data from the Copernicus Sentinel-2 satellite were combined with the Environmental Policy Integrated Climate (EPIC) model to estimate crop yield using a re-calibration data assimilation approach. The experiment was implemented for a winter wheat crop during two growing seasons (2016 and 2017) under four different fertilization management strategies. A number of field measurements were conducted spanning from LAI to biomass and crop yields. LAI showed a good correlation between the Sentinel-2 estimates and the ground measurements using non-destructive method. A correlating fit between satellite LAI curves and EPIC modelled LAI curves was also observed. The assimilation of LAI in EPIC provided an improvement in yield estimation in both years even though in 2017 strong underestimations were observed. The diverging results obtained in the two years indicated that the assimilation framework has to be tested under different environmental conditions before being applied on a larger scale with limited field data.</p></article>", "keywords": ["2. Zero hunger", "yield estimation", "S", "Leaf Area Index", "EPIC model", "Agriculture", "Crop growth model", "04 agricultural and veterinary sciences", "15. Life on land", "crop growth model", "Yield estimation", "13. Climate action", "Data assimilation", "0401 agriculture", " forestry", " and fisheries", "Sentinel-2", "data assimilation"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/9/5/255/pdf"}, {"href": "https://www.mdpi.com/2073-4395/9/5/255/pdf"}, {"href": "https://doi.org/10.5194/egusphere-egu2020-21951"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-egu2020-21951", "name": "item", "description": "10.5194/egusphere-egu2020-21951", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-egu2020-21951"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-21T00:00:00Z"}}, {"id": "10.5194/essd-13-3707-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:22:36Z", "type": "Journal Article", "created": "2021-01-07", "title": "C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)", "description": "<p>Abstract. A better understanding of the hydrological functioning of irrigated crops using remote sensing observations is of prime importance in the semi-arid areas where the water resources are limited. Radar observations, available at high resolution and revisit time since the launch of Sentinel-1 in 2014, have shown great potential for the monitoring of the water content of the upper soil and of the canopy. In this paper, a complete set of data for radar signal analysis is shared to the scientific community for the first time to our knowledge. The data set is composed of Sentinel-1 products and in situ measurements of soil and vegetation variables collected during three agricultural seasons over drip-irrigated winter wheat in the Haouz plain in Morocco. The in situ data gathers soil measurements (time series of half-hourly surface soil moisture, surface roughness and agricultural practices) and vegetation measurements collected every week/two weeks including above-ground fresh and dry biomasses, vegetation water content based on destructive measurements, cover fraction, leaf area index and plant height. Radar data are the backscattering coefficient and the interferometric coherence derived from Sentinel-1 GRDH (Ground Range Detected High resolution) and SLC (Single Look Complex) products, respectively. The normalized difference vegetation index derived from Sentinel-2 data based on Level-2A (surface reflectance and cloud mask) atmospheric effects-corrected products is also provided. This database, which is the first of its kind made available in open access, is described here comprehensively in order to help the scientific community to evaluate and to develop new or existing remote sensing algorithms for monitoring wheat canopy under semi-arid conditions. The data set is particularly relevant for the development of radar applications including surface soil moisture and vegetation parameters retrieval using either physically based or empirical approaches such as machine and deep learning algorithms. The database is archived in the DataSuds repository and is freely-accessible via the DOI:  https://doi.org/10.23708/8D6WQC  (Ouaadi et al., 2020a).                         </p>", "keywords": ["550", "Arid", "Soil Moisture", "0211 other engineering and technologies", "FOS: Mechanical engineering", "02 engineering and technology", "Digital Soil Mapping Techniques", "Normalized Difference Vegetation Index", "630", "Agricultural and Biological Sciences", "Engineering", "Pathology", "GE1-350", "2. Zero hunger", "QE1-996.5", "Vegetation Monitoring", "Water content", "Ecology", "Geography", "Statistics", "Life Sciences", "Hydrology (agriculture)", "Geology", "Remote Sensing in Vegetation Monitoring and Phenology", "04 agricultural and veterinary sciences", "Remote sensing", "Soil Erosion and Agricultural Sustainability", "6. Clean water", "Satellite Observations", "Archaeology", "Physical Sciences", "Leaf area index", "Telecommunications", "Medicine", "Vegetation (pathology)", "Environmental Engineering", "Data set", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Aerospace Engineering", "Soil Science", "Environmental science", "Digital Soil Mapping", "[SDU] Sciences of the Universe [physics]", "Global Soil Information", "FOS: Mathematics", "Biology", "Radar", "Synthetic Aperture Radar Interferometry", "Canopy", "FOS: Environmental engineering", "Soil Properties", "Paleontology", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Agronomy", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "Mathematics"]}, "links": [{"href": "https://essd.copernicus.org/articles/13/3707/2021/essd-13-3707-2021.pdf"}, {"href": "https://doi.org/10.5194/essd-13-3707-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-13-3707-2021", "name": "item", "description": "10.5194/essd-13-3707-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-13-3707-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-07T00:00:00Z"}}, {"id": "10.5194/hess-24-3789-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:22:40Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.                     </p></article>", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/10.5194/hess-24-3789-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-24-3789-2020", "name": "item", "description": "10.5194/hess-24-3789-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-24-3789-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}, {"id": "10.5281/zenodo.10628722", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:22:48Z", "type": "Journal Article", "created": "2023-02-21", "title": "Functional traits explain both seedling and adult plant spatial patterns in gypsum annual species", "description": "Abstract<p>   <p>Ecological processes such as seed dispersal or plant\uffe2\uff80\uff93plant interactions and environmental constraints such as climate or soil heterogeneity are known to influence establishment, and thus the spatial patterns of plant communities and populations. In this study, we hypothesized that key functional traits such as the specific leaf area (SLA), reproductive ratio (reproductive/vegetative biomass), seed mass and maximum plant height would influence the spatial patterns of individual species in annual, gypsophilous plant communities, and that these effects would be modulated by both the soil surface structure (biocrust) and climate (precipitation) conditions.</p>  <p>We mapped the spatial patterns of all plants found in six 1\uffe2\uff80\uff89\uffc3\uff97\uffe2\uff80\uff891\uffc2\uffa0m plots (more than 1000 individuals per plot) in both the seedling (autumn) and adult stages (spring) under two biocrust experimental conditions (intact vs. disturbed biocrust) during two consecutive years which were contrasted in term of precipitation (dry year and wet year). To assess the spatial patterns of seedlings and adults, we fitted four different spatial point pattern models (i.e. Poisson, inhomogeneous Poisson, Poisson cluster and inhomogeneous Poisson cluster processes) to each of the 242 populations of the 26 most abundant species that had more than 15 individuals per plot.</p>  <p>Most seedling populations exhibited clustered spatial patterns that persisted in the adult stage, which suggests that short\uffe2\uff80\uff90distance dispersal is an adaptive trait for soil specialists such as gypsophilous plants. One\uffe2\uff80\uff90third of the populations fitted an inhomogeneous model best but the physical structure of the biocrust was not related to them. More importantly, we found a connection between the functional strategies of species and the spatial distribution of plants. In particular, during the dry year, irrespective of the biocrust conditions, species with a high SLA and high Rep/Veg mainly exhibited clustered spatial patterns, whereas low SLA and low Rep/Veg were associated with random distributions. Species with heavy and light seed masses had random and clustered patterns, respectively. In both the dry and wet years, species with lower maximum heights had clustered patterns, whereas taller species exhibited random patterns. In addition, species with heavier seeds and greater maximum heights had the largest cluster sizes.</p>  <p>Our results confirm that the spatial patterns of seedlings and adult plants are significantly determined by the functional strategy of each species.</p>  </p><p>Read the free Plain Language Summary for this article on the Journal blog.</p", "keywords": ["2. Zero hunger", "0106 biological sciences", "point pattern analysis", "04 agricultural and veterinary sciences", "15. Life on land", "seed mass", "01 natural sciences", "maximum plant height", "biological soil crust", "seed dispersal", "reproductive/vegetative biomass ratio", "gypsophyte", "0401 agriculture", " forestry", " and fisheries", "specific leaf area"]}, "links": [{"href": "https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2435.14304"}, {"href": "https://doi.org/10.5281/zenodo.10628722"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Functional%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10628722", "name": "item", "description": "10.5281/zenodo.10628722", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10628722"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-13T00:00:00Z"}}, {"id": "10.60692/7hann-x9205", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:25:14Z", "type": "Journal Article", "created": "2020-12-08", "title": "Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In Morocco, cereal production shows high interannual variability due to uncertain rainfall and recurrent drought periods. Considering the socioeconomic importance of cereal for the country, there is a serious need to characterize the impact of drought on cereal yields. In this study, drought is assessed through (1) indices derived from remote sensing data (the vegetation condition index (VCI), temperature condition index (TCI), vegetation health ind ex (VHI), soil moisture condition index (SMCI) and soil water index for different soil layers (SWI)) and (2) key land surface variables (Land Area Index (LAI), soil moisture (SM) at different depths, soil evaporation and plant transpiration) from a Land Data Assimilation System (LDAS) over 2000\u20132017. A lagged correlation analysis was conducted to assess the relationships between the drought indices and cereal yield at monthly time scales. The VCI and LAI around the heading stage (March-April) are highly linked to yield for all provinces (R = 0.94 for the Khemisset province), while a high link for TCI occurs during the development stage in January-February (R = 0.83 for the Beni Mellal province). Interestingly, indices related to soil moisture in the superficial soil layer are correlated with yield earlier in the season around the emergence stage (December). The results demonstrate the clear added value of using an LDAS compared with using a remote sensing product alone, particularly concerning the soil moisture in the root-zone, considered a key variable for yield production, that is not directly observable from space. The time scale of integration is also discussed. By integrating the indices on the main phenological stages of wheat using a dynamic threshold approach instead of the monthly time scale, the correlation between indices and yield increased by up to 14%. In addition, the contributions of VCI and TCI to VHI were optimized by using yield anomalies as proxies for drought. This study opens perspectives for the development of drought early warning systems in Morocco and over North Africa, as well as for seasonal crop yield forecasting.</p></article>", "keywords": ["[SDE] Environmental Sciences", "550", "Science", "0207 environmental engineering", "Agricultural drought", "02 engineering and technology", "01 natural sciences", "630", "Environmental science", "remote sensing", "Land data assimilation systems", "Pathology", "assimilation systems", "Biology", "land data assimilation systems", "0105 earth and related environmental sciences", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Water content", "Ecology", "Drought", "Global Forest Drought Response and Climate Change", "Q", "Hydrology (agriculture)", "Geology", "cereal yield", "Remote Sensing in Vegetation Monitoring and Phenology", "FOS: Earth and related environmental sciences", "Remote sensing", "semiarid region", "15. Life on land", "agricultural drought", "Agronomy", "6. Clean water", "Cereal yield", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "[SDE]Environmental Sciences", "Global Drought Monitoring and Assessment", "Environmental Science", "Physical Sciences", "Leaf area index", "Medicine", "Semiarid region", "land data", "Vegetation (pathology)"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://doi.org/10.60692/7hann-x9205"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/7hann-x9205", "name": "item", "description": "10.60692/7hann-x9205", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/7hann-x9205"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-08T00:00:00Z"}}, {"id": "10.60692/khb9k-9s285", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:15Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.</p></article>", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/10.60692/khb9k-9s285"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/khb9k-9s285", "name": "item", "description": "10.60692/khb9k-9s285", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/khb9k-9s285"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}, {"id": "10115/24585", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:25:34Z", "type": "Journal Article", "created": "2023-02-21", "title": "Functional traits explain both seedling and adult plant spatial patterns in gypsum annual species", "description": "Abstract<p>   <p>Ecological processes such as seed dispersal or plant\uffe2\uff80\uff93plant interactions and environmental constraints such as climate or soil heterogeneity are known to influence establishment, and thus the spatial patterns of plant communities and populations. In this study, we hypothesized that key functional traits such as the specific leaf area (SLA), reproductive ratio (reproductive/vegetative biomass), seed mass and maximum plant height would influence the spatial patterns of individual species in annual, gypsophilous plant communities, and that these effects would be modulated by both the soil surface structure (biocrust) and climate (precipitation) conditions.</p>  <p>We mapped the spatial patterns of all plants found in six 1\uffe2\uff80\uff89\uffc3\uff97\uffe2\uff80\uff891\uffc2\uffa0m plots (more than 1000 individuals per plot) in both the seedling (autumn) and adult stages (spring) under two biocrust experimental conditions (intact vs. disturbed biocrust) during two consecutive years which were contrasted in term of precipitation (dry year and wet year). To assess the spatial patterns of seedlings and adults, we fitted four different spatial point pattern models (i.e. Poisson, inhomogeneous Poisson, Poisson cluster and inhomogeneous Poisson cluster processes) to each of the 242 populations of the 26 most abundant species that had more than 15 individuals per plot.</p>  <p>Most seedling populations exhibited clustered spatial patterns that persisted in the adult stage, which suggests that short\uffe2\uff80\uff90distance dispersal is an adaptive trait for soil specialists such as gypsophilous plants. One\uffe2\uff80\uff90third of the populations fitted an inhomogeneous model best but the physical structure of the biocrust was not related to them. More importantly, we found a connection between the functional strategies of species and the spatial distribution of plants. In particular, during the dry year, irrespective of the biocrust conditions, species with a high SLA and high Rep/Veg mainly exhibited clustered spatial patterns, whereas low SLA and low Rep/Veg were associated with random distributions. Species with heavy and light seed masses had random and clustered patterns, respectively. In both the dry and wet years, species with lower maximum heights had clustered patterns, whereas taller species exhibited random patterns. In addition, species with heavier seeds and greater maximum heights had the largest cluster sizes.</p>  <p>Our results confirm that the spatial patterns of seedlings and adult plants are significantly determined by the functional strategy of each species.</p>  </p><p>Read the free Plain Language Summary for this article on the Journal blog.</p", "keywords": ["2. Zero hunger", "0106 biological sciences", "point pattern analysis", "04 agricultural and veterinary sciences", "15. Life on land", "seed mass", "01 natural sciences", "maximum plant height", "biological soil crust", "seed dispersal", "reproductive/vegetative biomass ratio", "gypsophyte", "0401 agriculture", " forestry", " and fisheries", "specific leaf area"]}, "links": [{"href": "https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2435.14304"}, {"href": "https://doi.org/10115/24585"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Functional%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10115/24585", "name": "item", "description": "10115/24585", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10115/24585"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-13T00:00:00Z"}}, {"id": "10.7717/peerj.233", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:28Z", "type": "Journal Article", "created": "2014-01-28", "title": "Plant Compensation To Grazing And Soil Carbon Dynamics In A Tropical Grassland", "description": "The effects of grazing on soil organic carbon (SOC) dynamics, particularly in the tropics, are still poorly understood. Plant compensation to grazing, whereby plants maintain leaf area (C input capacity) despite consumption (C removal) by grazers, has been demonstrated in tropical grasslands but its influence on SOC is largely unexplored. Here, the effect of grazing on plant leaf area index (LAI) was measured in a field experiment in Serengeti National Park, Tanzania. LAI changed little for grazing intensities up to 70%. The response curve of LAI versus grazing intensity was used in a mass balance model, called SNAP, of SOC dynamics based on previous data from the Serengeti. The model predicted SOC to increase at intermediate grazing intensity, but then to decline rapidly at the highest grazing intensities. The SNAP model predictions were compared with observed SOC stocks in the 24 grazed plots of a 10-year grazing exclosure experiment at eight sites across the park that varied in mean annual rainfall, soil texture, grazing intensity and plant lignin and cellulose. The model predicted current SOC stocks very well (R (2) > 0.75), and suggests that compensatory plant responses to grazing are an important means of how herbivores might maintain or increase SOC in tropical grasslands.", "keywords": ["2. Zero hunger", "0106 biological sciences", "Ecology", "QH301-705.5", "R", "1. No poverty", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "Soil carbon", "01 natural sciences", "Leaf area", "Grazing", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Herbivory", "Biology (General)", "Compensation"], "contacts": [{"organization": "Mark E. Ritchie", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7717/peerj.233"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7717/peerj.233", "name": "item", "description": "10.7717/peerj.233", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7717/peerj.233"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-01-16T00:00:00Z"}}, {"id": "10.7910/DVN/2XHKHB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:28Z", "type": "Dataset", "created": "2009-01-01", "title": "Performance of diverse upland rice cultivars in low and high soil fertility conditions in West Africa", "description": "Traditional tropical japonica (Oryza sativa) and Oryzaglaberrimacultivars are typically grown in lowinput, subsistence production systems in the uplands of West Africa by resource-poor farmers. In these systems, low soil fertility (LF), which is generally associated with lower organic carbon content, and N and P availability, is one of the major constraints to rice productivity. Thus, cultivars adapted to LF are needed for the food security of farmers, who would otherwise be solely reliant on nutrient inputs to increase productivity. This study evaluated the performance of six diverse cultivars grown in LF and high soil fertility (HF) conditions with supplemental irrigation over two seasons. Average grain yield across all cultivars in LF was 54% of that in HF (156 vs. 340 g m_2). Three improved indicarice cultivars and CG 14 (O. glaberrima) out-yielded Morobe\u00b4 re\u00b4kan (traditional tropical japonica) and WAB450-IBP-38-HB (progeny from interspecific hybridization of tropical japonica and O. glaberrima) in LF (181 vs. 105 g m_2 on average). The high grain yield in LF was the result of large spikelet number m_2 due to superior tillering ability and high harvest index rather than biomass production. The high-yielding cultivars in LF consistently had lower leaf chlorophyll content and higher specific leaf area during the period from the early vegetative stage through the reproductive stage. Among them, two indicacultivars (B6144F-MR-6-0-0 and IR 55423-01) were also high yielding in HF. The use of improved indicacultivars adapted to LF, but also with input-responsiveness, appears to offer an attractive and economical approach to improving upland rice productivity and widening genetic diversity in this region.", "keywords": ["Specific leaf area", "West Africa", "Indica", "Upland rice", "Low soil fertility", "Chlorophyll content", "Oryzaglaberrima"], "contacts": [{"organization": "Saito, Kazuki, Futakuchi, Koichi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/2XHKHB"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/2XHKHB", "name": "item", "description": "10.7910/DVN/2XHKHB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/2XHKHB"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-01-01T00:00:00Z"}}, {"id": "1807/47622", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:26:12Z", "type": "Journal Article", "title": "Estimating Leaf Area Index for an arid region using Spectral Data.", "description": "Leaf Area Index (LAI) is one of the important crop parameters that can be used to assess crop conditions or drought severity. Estimating LAI for arid regions presents challenge due to the high spatial variability in precipitation and in crop canopies found in such regions. In this study, spectral reflectance of pearl millet was computed at various wavelengths and at different times during the cropping season, using a spectroradiometer. Three main indices (Normalised Difference Vegetation Index, Ratio Vegetation Index, and Perpendicular Vegetation Index)were derived from the spectral data. These indices were then correlated with the leaf area index in order to identify the index that gave the strongest relationship. A polynomial relationship, with the coefficient of correlation of 0.70, was found between LAI and NDVI indicating that NDVI is a potential index for estimating LAI for aridregions.Key Words: Arid lands, Leaf area index, vegetation indices", "keywords": ["vegetation indices", "Arid lands", " Leaf area index", " vegetation indices", "Leaf area index", "0401 agriculture", " forestry", " and fisheries", "Terres arides", "indices de v\u00e9g\u00e9tation", "04 agricultural and veterinary sciences", "15. Life on land", "indice de la surface foliaire", "Aridlands"], "contacts": [{"organization": "Boken, Vijendra K., Chandra, Satish,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/1807/47622"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/African%20Crop%20Science%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1807/47622", "name": "item", "description": "1807/47622", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1807/47622"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-12-04T00:00:00Z"}}, {"id": "2607138069", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:26:51Z", "type": "Journal Article", "created": "2017-04-20", "title": "A simple and alternative approach based on reference evapotranspiration and leaf area index for estimating tree transpiration in semi-arid regions", "description": "Abstract   The present work aims to develop a simple approach relating normalized daily sap flow (liters per unit of leaf area) and daily reference evapotranspiration (ET 0 ) (mm/day). Two methods (FAO-Penman-Monteith (FAO-PM) and Hargreaves-Samani (HARG)) of the calculation of ET 0  were tested in order to examine their impact on the established relationships. The data sets used for developing this approach are taken over well irrigated orchards from three experimental sites (olive trees, cv. \u201c Olea europaea L .\u201d, olive trees, cv. \u201c Arbequino \u201d and citrus trees cv. \u201c Clementine Afourar \u201d) conducted in the Tensift region around Marrakech (center of Morocco) and one experimental site (pecan orchard, cv. \u201c Carya illinoinensis, Wangenh. K. Koch\u201d ) conducted in the Yaqui Valley, northwest of Mexico).  The results showed that the normalized daily sap flow was linearly correlated with ET 0  (mm per day) calculated by FAO-PM method. The coefficient of determination (R 2 ) and the slope of this linear regression varied between 0.71 and 0.97 and between 0.30 and 0.35, respectively, depending on the type of orchards. For HARG method, the relationship between both terms is also linear but with more discrepancy (R 2 \u00a0=\u00a00.7). This was somehow expected since this method is known to underestimate ET 0  values in the semi-arid areas. Afterward, the validation of the developed linear relationship was performed over an olive orchard (\u201c Olea europaea L .\u201d) where the measurements of sap flow were available for another cropping season (2004). The scatter plot between the normalized measured and estimated sap flow based on FAO-PM method reveals a very good agreement (slope\u00a0=\u00a01, and RMSE\u00a0=\u00a00.14\u00a0L/m 2  leaf area). However, for the estimation of normalized sap flow based on HARG method, the correlation is relatively more scattered (slope\u00a0=\u00a00.95, and RMSE\u00a0=\u00a00.35\u00a0L/m 2  leaf area). A further validation was performed using the measurements of evapotranspiration (ET) by eddy correlation system and the results showed that the correlation between normalized measured ET and estimated normalized sap flow is best when using FAO-PM method (RMSE\u00a0=\u00a00.33\u00a0L/m 2  leaf area) for estimating ET 0  than when using HARG method (RMSE\u00a0=\u00a00.51\u00a0L/m 2  leaf area).  Finally, the performance of the developed approach was compared to the traditional dual crop coefficient scheme for estimating plant transpiration. Cross-comparison of these two approaches with the measurements data gave satisfactory results with an average value of RMSE equal to about 0.37\u00a0mm/day for both approaches.", "keywords": ["0106 biological sciences", "2. Zero hunger", "Semi-arid", "Sap flow", "Leaf area index", "0401 agriculture", " forestry", " and fisheries", "Reference evapotranspiration", "04 agricultural and veterinary sciences", "Tree orchards", "15. Life on land", "01 natural sciences", "Transpiration"]}, "links": [{"href": "https://doi.org/2607138069"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2607138069", "name": "item", "description": "2607138069", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2607138069"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-01T00:00:00Z"}}, {"id": "2945065301", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:27:00Z", "type": "Journal Article", "created": "2019-05-21", "title": "Assimilation of Sentinel-2 Leaf Area Index Data into a Physically-Based Crop Growth Model for Yield Estimation", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Remote sensing data, crop growth models, and optimization routines constitute a toolset that can be used together to map crop yield over large areas when access to field data is limited. In this study, Leaf Area Index (LAI) data from the Copernicus Sentinel-2 satellite were combined with the Environmental Policy Integrated Climate (EPIC) model to estimate crop yield using a re-calibration data assimilation approach. The experiment was implemented for a winter wheat crop during two growing seasons (2016 and 2017) under four different fertilization management strategies. A number of field measurements were conducted spanning from LAI to biomass and crop yields. LAI showed a good correlation between the Sentinel-2 estimates and the ground measurements using non-destructive method. A correlating fit between satellite LAI curves and EPIC modelled LAI curves was also observed. The assimilation of LAI in EPIC provided an improvement in yield estimation in both years even though in 2017 strong underestimations were observed. The diverging results obtained in the two years indicated that the assimilation framework has to be tested under different environmental conditions before being applied on a larger scale with limited field data.</p></article>", "keywords": ["2. Zero hunger", "yield estimation", "S", "Leaf Area Index", "EPIC model", "Agriculture", "Crop growth model", "04 agricultural and veterinary sciences", "15. Life on land", "crop growth model", "Yield estimation", "13. Climate action", "Leaf area index", "Data assimilation", "0401 agriculture", " forestry", " and fisheries", "Sentinel-2", "data assimilation"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/9/5/255/pdf"}, {"href": "https://www.mdpi.com/2073-4395/9/5/255/pdf"}, {"href": "https://doi.org/2945065301"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2945065301", "name": "item", "description": "2945065301", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2945065301"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-21T00:00:00Z"}}, {"id": "2980519968", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:27:03Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.                     </p></article>", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/2980519968"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2980519968", "name": "item", "description": "2980519968", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2980519968"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}, {"id": "3113036323", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:27:17Z", "type": "Journal Article", "created": "2020-12-08", "title": "Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In Morocco, cereal production shows high interannual variability due to uncertain rainfall and recurrent drought periods. Considering the socioeconomic importance of cereal for the country, there is a serious need to characterize the impact of drought on cereal yields. In this study, drought is assessed through (1) indices derived from remote sensing data (the vegetation condition index (VCI), temperature condition index (TCI), vegetation health ind ex (VHI), soil moisture condition index (SMCI) and soil water index for different soil layers (SWI)) and (2) key land surface variables (Land Area Index (LAI), soil moisture (SM) at different depths, soil evaporation and plant transpiration) from a Land Data Assimilation System (LDAS) over 2000\u20132017. A lagged correlation analysis was conducted to assess the relationships between the drought indices and cereal yield at monthly time scales. The VCI and LAI around the heading stage (March-April) are highly linked to yield for all provinces (R = 0.94 for the Khemisset province), while a high link for TCI occurs during the development stage in January-February (R = 0.83 for the Beni Mellal province). Interestingly, indices related to soil moisture in the superficial soil layer are correlated with yield earlier in the season around the emergence stage (December). The results demonstrate the clear added value of using an LDAS compared with using a remote sensing product alone, particularly concerning the soil moisture in the root-zone, considered a key variable for yield production, that is not directly observable from space. The time scale of integration is also discussed. By integrating the indices on the main phenological stages of wheat using a dynamic threshold approach instead of the monthly time scale, the correlation between indices and yield increased by up to 14%. In addition, the contributions of VCI and TCI to VHI were optimized by using yield anomalies as proxies for drought. This study opens perspectives for the development of drought early warning systems in Morocco and over North Africa, as well as for seasonal crop yield forecasting.</p></article>", "keywords": ["[SDE] Environmental Sciences", "550", "Science", "0207 environmental engineering", "Agricultural drought", "02 engineering and technology", "01 natural sciences", "630", "Environmental science", "remote sensing", "Land data assimilation systems", "Pathology", "assimilation systems", "Biology", "land data assimilation systems", "0105 earth and related environmental sciences", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Water content", "Ecology", "Drought", "Global Forest Drought Response and Climate Change", "Q", "Hydrology (agriculture)", "Geology", "cereal yield", "Remote Sensing in Vegetation Monitoring and Phenology", "FOS: Earth and related environmental sciences", "Remote sensing", "semiarid region", "15. Life on land", "agricultural drought", "Agronomy", "6. Clean water", "Cereal yield", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "[SDE]Environmental Sciences", "Global Drought Monitoring and Assessment", "Environmental Science", "Physical Sciences", "Leaf area index", "Medicine", "Semiarid region", "land data", "Vegetation (pathology)"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://doi.org/3113036323"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3113036323", "name": "item", "description": "3113036323", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3113036323"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-08T00:00:00Z"}}, {"id": "3162fe59-0d1a-42fa-bca8-c233d5a11083", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.57, 51.36], [12.57, 53.31], [15.09, 53.31], [15.09, 51.36], [12.57, 51.36]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - I4S's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - I4S and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-07-12", "type": "Service", "created": "2024-06-12", "language": "eng", "title": "Web Map Service of the dataset 'Crop/plant data I4S Boo\u00dfen experiment 2020-2021'", "description": "This Web Map Service includes spatial information used by datasets 'Crop/plant data I4S Boo\u00dfen experiment 2020-2021'", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index", "Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index"], "contacts": [{"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Siyu Huang", "organization": "ZALF", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "siyu.huang@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0000-8713-5490", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=354003e0-0476-48c8-ba5f-d9c14ec9bfed", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/I4S/ID_5401_Boossen_Brandenburg_2010_2021_samplepoint_1/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "3162fe59-0d1a-42fa-bca8-c233d5a11083", "name": "item", "description": "3162fe59-0d1a-42fa-bca8-c233d5a11083", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3162fe59-0d1a-42fa-bca8-c233d5a11083"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-12T00:00:00Z"}}, {"id": "be9713fc-e453-4316-9d14-7c41831a6e1e", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.04, 51.88], [14.04, 51.88], [14.04, 51.88], [14.04, 51.88], [14.04, 51.88]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "lysimeters"}, {"id": "groundwater table"}, {"id": "water balance"}, {"id": "leaf area index"}, {"id": "biomass production"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "wet grassland"}, {"id": "biomass yield"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Umwelt\u00fcberwachung"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Upper Spree Forest-Lusatia District"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-08-23", "type": "Dataset", "created": "2024-08-20", "language": "eng", "title": "Effects of changed climatic conditions and water resources management on the water balance of a wet grassland site - groundwater hydrograph", "description": "Table contains average daily water table depths of two lysimeters for the whole period from 2010 to 2023.\n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-mf0v-jk94); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["lysimeters", "groundwater table", "water balance", "leaf area index", "biomass production", "opendata", "wet grassland", "biomass yield", "Boden", "Umwelt\u00fcberwachung", "Germany", "Brandenburg", "Upper Spree Forest-Lusatia District"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ottfried Dietrich", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": 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null, "roles": ["researcher"], "phones": [{"value": null}], "emails": [{"value": "lfe@lfb.brandenburg.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Alexander Russ", "organization": "Landeskompetenzzentrum Forst Eberswalde", "position": null, "roles": ["researcher"], "phones": [{"value": null}], "emails": [{"value": "Alexander.Russ@LFB.Brandenburg.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Dieter Sowa", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "fds_sekretariat@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Matthias Lemme", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "lemme@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Regina Richter", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "rrichter@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 5/9, table: Soil hydrology"}, "links": [{"href": 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-06-26", "type": "Dataset", "created": "2023-06-12", "language": "eng", "title": "Effects of groundwater levels and soil moisture on the development of leaf area index and biomass yield of wet grasslands (Lysimeter data) - Climate Data", "description": "Table contains climate data of a weather station at the lysimeter station as well as the groundwater level and the soil moisture in 30 cm depth of the four lysimeters. The data are daily average values of the measured data. The FAO-grass-evapotranspiration (Allen et al., 1998) was calculated with the daily values.\n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-vevz-ys85); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "lysimeters", "groundwater table", "soil water content", "leaf area index", "biomass production", "opendata", "wet grassland", "biomass yield", "Boden"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Ottfried Dietrich", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4637-9784", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ottfried Dietrich", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4637-9784", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ralph Tauschke", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Mario Weipert", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 3/3, table: Climate Data"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=231c1bff-73bd-4ee7-964c-ce3172d2cd6c", "rel": "information"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/231c1bff-73bd-4ee7-964c-ce3172d2cd6c", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "d3ed0c22-e76b-44e6-bbf0-43de422af349", "name": "item", "description": "d3ed0c22-e76b-44e6-bbf0-43de422af349", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/d3ed0c22-e76b-44e6-bbf0-43de422af349"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-26T00:00:00Z"}}, {"id": "PMC10278232", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:29:40Z", "type": "Journal Article", "created": "2023-06-05", "title": "Cultivar-dependent differences in tuber growth cause increased soil resistance in potato fields", "description": "<p>Since soil compaction of potato fields delays shoot emergence and decreases total yield, the causes and effects of this compaction need to be better understood. In a controlled environment trial with young (before tuber initiation) plants, roots of cv. Inca Bella (a phureja group cultivar) were more sensitive to increased soil resistance (3.0 MPa) than cv. Maris Piper (a tuberosum group cultivar). Such variation was hypothesized to cause yield differences in two field trials, in which compaction treatments were applied after tuber planting. Trial 1 increased initial soil resistance from 0.15 MPa to 0.3 MPa. By the end of the growing season, soil resistance increased three-fold in the upper 20\uffc2\uffa0cm of the soil, but resistance in Maris Piper plots was up to twice that of Inca Bella plots. Maris Piper yield was 60% higher than Inca Bella and independent of soil compaction treatment, whilst compacted soil reduced Inca Bella yield by 30%. Trial 2 increased initial soil resistance from 0.2 MPa to 1.0 MPa. Soil resistance in the compacted treatments increased to similar, cultivar-dependent resistances as trial 1. Maris Piper yield was 12% higher than Inca Bella, but cultivar variation in yield response to compacted soil did not occur. Soil water content, root growth and tuber growth were measured to determine whether these factors could explain cultivar differences in soil resistance. Soil water content was similar between cultivars, thus did not cause soil resistance to vary between cultivars. Root density was insufficient to cause observed increases soil resistance. Finally, differences in soil resistance between cultivars became significant during tuber initiation, and became more pronounced until harvest. Increased tuber biomass volume (yield) of Maris Piper increased estimated mean soil density (and thus soil resistance) more than Inca Bella. This increase seems to depend on initial compaction, as soil resistance did not significantly increase in uncompacted soil. While increased soil resistance caused cultivar-dependent restriction of root density of young plants that was consistent with cultivar variation in yield, tuber growth likely caused cultivar-dependent increases in soil resistance in field trials, which may have further limited Inca Bella yield.</p", "keywords": ["2. Zero hunger", "soil compaction", "570", "leaf area", "root growth", "Plant culture", "Plant Science", "15. Life on land", "soil moisture", "630", "tuber yield", "SB1-1110"]}, "links": [{"href": "https://doi.org/PMC10278232"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC10278232", "name": "item", "description": "PMC10278232", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC10278232"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-05T00:00:00Z"}}, {"id": "f58cdc2a-bedf-457f-a0c2-886359915f9b", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[8.7, 48.53], [8.7, 48.93], [9.78, 48.93], [9.78, 48.53], [8.7, 48.53]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "vegetation"}, {"id": "crops"}, {"id": "catch crops"}, {"id": "field crops"}, {"id": "grain crops"}, {"id": "maize"}, {"id": "leaf area"}, {"id": "plant cover"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Extern's research activities.\" Although every care has been taken in preparing and testing the data, the Extern and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Extern and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Extern and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-03-06", "type": "Dataset", "created": "2021-11-10", "language": "eng", "title": "Test dataset for Xenia - DO NOT PUBLISH", "description": "Test dataset for Xenia - DO NOT PUBLISH", "formats": [{"name": "CSV"}], "keywords": ["Soil", "vegetation", "crops", "catch crops", "field crops", "grain crops", "maize", "leaf area", "plant cover", "opendata", "Boden"], "contacts": [{"name": "Kristina Bohm", "organization": "University of Hohenheim", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "nn"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Joachim Ingwersen", "organization": "University of Hohenheim", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "jingwer@uni-hohenheim.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Thilo Streck", "organization": "University of Hohenheim", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "thilo.streck@uni-hohenheim.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Tobias Karl David Weber", "organization": "University of Hohenheim", "position": null, "roles": ["custodian"], "phones": [{"value": null}], "emails": [{"value": "tobias.weber@uni-hohenheim.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "University of Hohenheim", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=1cdb3065-b3f2-4c7f-968a-c33dfd0ea7cd", "rel": "information"}, {"rel": "self", "type": "application/geo+json", "title": "f58cdc2a-bedf-457f-a0c2-886359915f9b", "name": "item", "description": "f58cdc2a-bedf-457f-a0c2-886359915f9b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f58cdc2a-bedf-457f-a0c2-886359915f9b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-06T00:00:00Z"}}, {"id": "c3db9d59-88bf-4ef9-a061-fc7c7a880fd3", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.96, 52.47], [12.96, 52.47], [12.96, 52.47], [12.96, 52.47], [12.96, 52.47]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - I4S's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - I4S and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-02-05", "type": "Service", "created": "2023-08-22", "language": "eng", "title": "Web Map Service of the dataset 'Crop/plant data I4S Marquardt experiment 2017-2021'", "description": "This Web Map Service includes spatial information used by datasets 'Web Map Service of the dataset 'Crop/plant data I4S Marquardt experiment 2017-2021''", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index", "Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index"], "contacts": [{"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "BonaRes Data Center", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Evelyn Wallor", "organization": "Hochschule f\u00fcr Nachhaltige Entwicklung Eberswalde", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "Evelyn.Wallor@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=4fd878bb-90d8-41dd-965d-dcd72f495561", "rel": "download"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/I4S/ID_4303_ATB_Marquardt_experiment_site_2017_2021_Geodata/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "c3db9d59-88bf-4ef9-a061-fc7c7a880fd3", "name": "item", "description": "c3db9d59-88bf-4ef9-a061-fc7c7a880fd3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c3db9d59-88bf-4ef9-a061-fc7c7a880fd3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-05T00:00:00Z"}}, {"id": "db2d636c-e51c-4db8-bff4-447dec69f908", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.99, 53.15], [12.99, 53.15], [12.99, 53.15], [12.99, 53.15], [12.99, 53.15]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2023-05-02", "type": "Service", "created": "2022-04-26", "language": "eng", "title": "WMS Service of the dataset 'Monitoring of tree growth, water relations and element budget of a mature beech (Fagus sylvatica L.) forest ecosystem in Brandenburg, Germany'", "description": "This AGIS Map Service includes spatial information used by datasets 'AGIS Map Service of the dataset 'Monitoring of tree growth, water relations and element budget of a mature beech (Fagus sylvatica L.) forest ecosystem in Brandenburg, Germany''", "keywords": ["infoMapAccessService", "above ground tree biomass", "leaf area", "weather data", "water balance", "evapotranspiration", "transpiration", "soil water", "matric potential", "heavy metals", "litter weight", "leaf area index", "Fagus sylvatica", "forest ecology", "forest ecosystems", "forest mensuration", "forest meteorology", "nutrients", "soil", "temperate forests", "trees", "tree and stand measurement"], "contacts": [{"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-08-23", "type": "Service", "created": "2023-06-12", "language": "eng", "title": "WMS Service of the dataset relating to the ZALF lysimeter in the Spreewald region, Brandenburg, Germany.", "description": "This AGIS Map Service includes spatial information used by datasets derived from the ZALF Lysimeter in the Spreewald region.", "keywords": ["infoMapAccessService", "Soil", "lysimeters", "groundwater table", "soil water content", "leaf area index", "biomass production", "Germany", "Brandenburg", "Upper Spree Forest-Lusatia District"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Ottfried Dietrich", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4637-9784", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ottfried Dietrich", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4637-9784", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ralph Tauschke", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Mario Weipert", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-08-23", "type": "Dataset", "created": "2024-08-20", "language": "eng", "title": "Effects of changed climatic conditions and water resources management on the water balance of a wet grassland site", "description": "The data set contains daily and monthly values of weather data, groundwater levels und water balance components of two groundwater lysimeter of a lysimeter station and a weather station in the Spreewald wetland from 2010 to 2023. The two soil monoliths were extracted on the location of the lysimeter station and represent the site conditions the wetland. The biomass was harvested two time per year. Leaf area index was measured before harvesting the biomass. The biomass was dried and weighted (dry yield). 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["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "Mario.Weipert@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Niklas Jaenichen", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "Niklas.Jaenichen@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 0/6, table: Index"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=93b34d1a-8f17-4bdd-a478-1339508bd8d2", "rel": "information"}, {"href": 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"type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.99, 53.15], [12.99, 53.15], [12.99, 53.15], [12.99, 53.15], [12.99, 53.15]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "above ground tree biomass"}, {"id": "evapotranspiration"}, {"id": "Fagus sylvatica"}, {"id": "forest ecology"}, {"id": "forest ecosystems"}, {"id": "forest mensuration"}, {"id": "forest meteorology"}, {"id": "heavy metals"}, {"id": "leaf area index"}, {"id": "litter weight"}, {"id": "matric potential"}, {"id": "nutrients"}, {"id": "soil"}, {"id": "soil water"}, {"id": "temperate forests"}, {"id": "transpiration"}, {"id": "trees"}, {"id": "tree and stand measurement"}, {"id": "water balance"}, {"id": "weather data"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Boden"}, {"id": "Lebensr\u00e4ume und Biotope"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}, {"id": "Intensive forest monitoring"}, {"id": "dendrometry"}, {"id": "deposition"}, {"id": "tential nutrients"}, {"id": "tree biomass"}], "scheme": "Individual"}, {"concepts": [{"id": "Beerenbusch"}, {"id": "Rheinsberg"}, {"id": "Brandenburg"}, {"id": "Germany"}], "scheme": "Individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2023-04-27", "type": "Dataset", "created": "2022-04-26", "language": "eng", "title": "Monitoring of tree growth, water relations and element budget of a mature beech (Fagus sylvatica L.) forest ecosystem in Brandenburg, Germany", "description": "The water and element budgets and the vegetation of a mature beech forest stand (Fagus sylvatica L.) in Brandenburg, Germany were investigated over 19 years from 2001 to 2019. \nThe dataset contains data on open land and forest stand internal meteorology including soil moisture, soil matric potential, soil temperature, concentrations of macro elements and heavy metals in bulk precipitation, throughfall, stemflow, and soil solution. Data on stem growth and litterfall describe the development of the forest stand.\nThe experimental approach is similar to that of the ICP Forest level II plots (http://icp-forests.net), but additionally considers the spatial variability in the stem distance gradient for throughfall and soil solution.\nThis table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["above ground tree biomass", "evapotranspiration", "Fagus sylvatica", "forest ecology", "forest ecosystems", "forest mensuration", "forest meteorology", "heavy metals", "leaf area index", "litter weight", "matric potential", "nutrients", "soil", "soil water", "temperate forests", "transpiration", "trees", "tree and stand measurement", "water balance", "weather data", "Boden", "Lebensr\u00e4ume und Biotope", "opendata", "Intensive forest monitoring", "dendrometry", "deposition", "tential nutrients", "tree biomass", "Beerenbusch", "Rheinsberg", "Brandenburg", "Germany"], "contacts": [{"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Hubert Jochheim", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "hubert.jochheim@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Hubert Jochheim", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "hubert.jochheim@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Dietmar L\u00fcttschwager", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["researcher"], "phones": [{"value": null}], "emails": [{"value": "dluettschwager@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael Sommer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["researcher"], "phones": [{"value": null}], "emails": [{"value": "sommer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3673-6063", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Reinhard Kallweit", "organization": "Landeskompetenzzentrum Forst Eberswalde", "position": null, "roles": ["researcher"], "phones": [{"value": null}], "emails": [{"value": "lfe@lfb.brandenburg.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Alexander Russ", "organization": "Landeskompetenzzentrum Forst Eberswalde", "position": null, "roles": ["researcher"], "phones": [{"value": null}], "emails": [{"value": "Alexander.Russ@LFB.Brandenburg.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Dieter Sowa", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "fds_sekretariat@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Matthias Lemme", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "lemme@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Regina Richter", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "rrichter@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 0/9, table: Index"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=104d0626-4f06-485f-a991-29b502700d7d", "rel": "information"}, {"rel": "related", "href": 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"https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "lysimeters"}, {"id": "groundwater table"}, {"id": "soil water content"}, {"id": "leaf area index"}, {"id": "biomass production"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "wet grassland"}, {"id": "biomass yield"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-06-26", "type": "Dataset", "created": "2023-06-12", "language": "eng", "title": "Effects of groundwater levels and soil moisture on the development of leaf area index and biomass yield of wet grasslands (Lysimeter data)", "description": "The data set contains daily values of weather data, groundwater levels und soil moisture in 30 cm depth of four groundwater lysimeter of a lysimeter station in the Spreewald wetland from 2014 to 2020. The four soil monoliths were extracted on the location of the lysimeter station and represent the site conditions of the wetland. Leaf area index was measured on different days during the investigation period. Two times per year the biomass was harvested. The biomass was weighted (wet yield), dried and weighted again (dry yield). \nThe groundwater levels in the four lysimeters distinguish in their depth below the surface and their annual cycle. They represent different water resources management options for wet grassland sites discussed in the region (Dietrich and Kaiser, 2017). One lysimeter represents the conditions of the surrounding area (actual water management option). The other options have higher or lower target water levels. They show the effects of a modified water management on the water balance, the development of the vegetation and the biomass yield.\nThis table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "lysimeters", "groundwater table", "soil water content", "leaf area index", "biomass production", "opendata", "wet grassland", "biomass yield", "Boden"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Ottfried Dietrich", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4637-9784", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ottfried Dietrich", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4637-9784", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ralph Tauschke", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Mario Weipert", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "dietrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 0/3, table: Index"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=231c1bff-73bd-4ee7-964c-ce3172d2cd6c", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/figure_lysimeter.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/231c1bff-73bd-4ee7-964c-ce3172d2cd6c", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "231c1bff-73bd-4ee7-964c-ce3172d2cd6c", "name": "item", "description": "231c1bff-73bd-4ee7-964c-ce3172d2cd6c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/231c1bff-73bd-4ee7-964c-ce3172d2cd6c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-26T00:00:00Z"}}, {"id": "597d2f31-1136-4929-9da3-f968a8e945c3", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. (e.g. Reports, articles, papers, scientific and non-scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - ORDIAMUR's research activities.\" Although every care has been taken in preparing and testing the data, BonaRes Module A-Project-ORDIAMUR and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-ORDIAMUR and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. 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