{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.14875898", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:40Z", "type": "Other", "title": "Les mod\u00e8les de COS doivent \u00eatre valid\u00e9s par des s\u00e9ries temporelles ind\u00e9pendantes pour permettre une pr\u00e9diction fiable", "description": "Les efforts visant \u00e0 maintenir les jeux de donn\u00e9es sont imp\u00e9ratifs pour obtenir des projections et des pr\u00e9visions pr\u00e9cises en mati\u00e8re de COS.", "keywords": ["[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study"], "contacts": [{"organization": "Le No\u00eb, Julia, Manzoni, Stefano, Abramoff, Rose, B\u00f6lscher, Tobias, Bruni, Elisa, Cardinael, R\u00e9mi, Ciais, Philippe, Chenu, Claire, Clivot, Hugues, Derrien, Delphine, Ferchaud, Fabien, Garnier, Patricia, Goll, Daniel, Lashermes, Gwena\u00eblle, Martin, Manuel, Rasse, Daniel, Rees, Fr\u00e9d\u00e9ric, Sainte-Marie, Julien, Salmon, \u00c9lodie, Schiedung, Marcus, Schimel, Josh, Wieder, William, Abiven, Samuel, Barr\u00e9, Pierre, C\u00e9cillon, Lauric, Guenet, Bertrand, Delahaie, Amicie,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14875898"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14875898", "name": "item", "description": "10.5281/zenodo.14875898", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14875898"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/KPTWFS", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:29Z", "type": "Dataset", "title": "Replication Data for: PERFORMANCE EVALUATION OF INTEGRATED RICE FISH FARMING USING KEBBI AND EBONYI STATE AND THEIR ADJOINING INSTITUTIONAL BASED PLATFORMS AS CASE STUDIES", "description": "Options for farm diversification through integrated aquaculture-agriculture (IAA) are being gradually embraced as a competitive alternative to traditional agriculture because of resource use efficiency and overall productivity. Despite the numerous benefits, the practice of IAA especially integrated rice-fish (IRF) farming in African countries such as Nigeria is limited, therefore, there is a need for proper documentation and demonstration to further encourage IRF adoption. This study was carried out on the MSU/USAID/FAO IRF plot (22m by 15m) for 16 weeks in two states which are Ebonyi and Kebbi and their adjoining institutional-based platforms which are the University of Ibadan (UI) and Usmanu Dan Fodiyo university (UDU) to evaluate the production efficiency and to access the water productivity of combining rice-fish. After transplanting rice seedlings and stocking fish seeds, data were collected on the growth and yield performance of fish such as average body weight(g) and length(cm), survival rate (%) and on rice such as number and length of tiller(cm) number and length of panicles(cm), paddy, grain yield(ton/ha). Water and soil quality parameters such as pH, alkalinity, nitrite, nitrate, ammonia, organic carbon and nitrogen were collected biweekly and monthly. Water use efficiency(kg/ha/cm) was also calculated. Statistical analysis was carried out through analysis of variance (ANOVA) and Ducan multiple range test to find the difference at 5% (p &lt; 0.05) levels. Water quality parameters result showed that alkalinity(mg/l) ranged from 17.8\u00b19.6(Kebbi) to 106.8\u00b14.5(UI), pH ranged from 6.0\u00b11.2(UI) to 8.5\u00b12.1(UDU), nitrate(mg/l) ranged from 0.0\u00b10.0(UI) to 0.3\u00b10.1(Kebbi), nitrite(mg/l) ranged from 0.0\u00b10.0(UI) to 0.5\u00b10.1(Kebbi), ammonia(mg/l) ranged from 0.0\u00b10.1(UI) to 0.5\u00b10.2(UI), hardness(mg/l) ranged from 34.4\u00b118.5(UDU) to 178.6\u00b110.0(UI) and dissolved oxygen(mg/l) ranged from 4.8\u00b10.5(UI) to 13.8\u00b12.8(UDU). For the soil quality parameters result, pH ranged from 5.8\u00b11.1(UI) to 8.0\u00b10.0(UI), nitrogen(g/kg) ranged from 0.6\u00b10.1(UI) to 2.3\u00b10.2(Ebonyi), phosphorus(mg/kg) ranged from 1.2\u00b10.0(Ebonyi) to 13.0\u00b10.0(UI), dissolved oxygen(mg/l) ranged from 4.2\u00b10.4(UI) to 5.6\u00b10.9(UI), organic carbon(g/kg) ranged from 5.0\u00b10.1(UI) to 24.3\u00b16.6(Ebonyi) and potassium(cmol/kg) ranged from 0.1\u00b10.0(Ebonyi) to 1.0\u00b10.3(Kebbi). The number (cell/litre) and abundance(cell/litre) of plankton ranged from 13.0\u00b11.1(Ebonyi) to 230\u00b15.9(UI) and 12.0\u00b11.2(UDUS) to 239\u00b175(UI) respectively. The most dominant species of plankton recorded were rotifera spp, euglena spp, Ulothrix spp and spiruna spp. The highest (73.3) and least (21.5) survival rates (%) were recorded in UI and Ebonyi respectively. The highest (8.3) and the least (1.6) fish yield (ton/ha) were recorded in UI and Kebbi respectively. The highest (5.1) and the least (1.9) rice yield(ton/ha) were recorded in UI and Ebonyi respectively. Consumptive water used(m3) ranged from 197.4\u00b120.5(UI) to 1000.7\u00b160.5(Kebbi), water use efficiency(kg/ha/cm) ranged from 0.5\u00b10.0(Ebonyi) to 1.5\u00b12.2(UI) and water productivity(kg/m3) ranged from 425\u00b140.2(UDU) to 1680\u00b178(Kebbi). There were no significant differences between the mean of water quality parameters in the adaptative plots except for the dissolved oxygen in UDU and Kebbi which were significantly different from UI and Ebonyi. The result revealed that integrated rice fish farming could increase the yield of rice and fish compare to monoculture system of either rice and fish. Therefore, more research should be done and documented on integrated rice fish farming system to ascertain importance of this system for a wider adoption.", "keywords": ["Agricultural Sciences", "Integrated Rice and Fish Farming"], "contacts": [{"organization": "Halwart Mathias, K., Ajani Emmanuel, N. Bart, Amrit, Ajayi, Oluwafemi, Bamidele Omitoyin, Oyebola, Taiwo, Stankus, Austin, Burtle, Gary, E. Fonsah, Greg, Kazeem O. Kareem, Oduntan O., B., Yahaya Abubakar, Ikwuemesi Johnpaul,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/KPTWFS"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/KPTWFS", "name": "item", "description": "10.7910/DVN/KPTWFS", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/KPTWFS"}, {"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": "10.7910/DVN/M4ZGXP", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:29Z", "type": "Dataset", "title": "MSZSI: Multi-Scale Zonal Statistics [AgriClimate] Inventory", "description": "&lt;b&gt;MSZSI: Multi-Scale Zonal Statistics [AgriClimate] Inventory&lt;/b&gt; &lt;br&gt;&lt;br&gt; -------------------------------------------------------------------------------------- &lt;br&gt; MSZSI is a data extraction tool for Google Earth Engine that aggregates time-series remote sensing information to multiple administrative levels using the FAO GAUL data layers. The code at the bottom of this page (metadata) can be pasted into the Google Earth Engine JavaScript code editor and ran at https://code.earthengine.google.com/.  &lt;br&gt;&lt;br&gt; &lt;i&gt;Please refer to the associated publication&lt;/i&gt;:  &lt;br&gt; Peter, B.G., Messina, J.P., Breeze, V., Fung, C.Y., Kapoor, A. and Fan, P., 2024. Perspectives on modifiable spatiotemporal unit problems in remote sensing of agriculture: evaluating rice production in Vietnam and tools for analysis. &lt;i&gt;Frontiers in Remote Sensing&lt;/i&gt;, 5, p.1042624. &lt;br&gt; &lt;a href='https://www.frontiersin.org/journals/remote-sensing/articles/10.3389/frsen.2024.1042624'&gt;https://www.frontiersin.org/journals/remote-sensing/articles/10.3389/frsen.2024.1042624&lt;/a&gt; &lt;br&gt;&lt;br&gt; &lt;i&gt;Input options:&lt;/i&gt; &lt;br&gt; [1] Country of interest &lt;br&gt; [2] Start and end year &lt;br&gt; [3] Start and end month &lt;br&gt; [4] Option to mask data to a specific land-use/land-cover type &lt;br&gt; [5] Land-use/land-cover type code from CGLS LULC &lt;br&gt; [6] Image collection for data aggregation &lt;br&gt; [7] Desired band from the image collection &lt;br&gt; [8] Statistics type for the zonal aggregations &lt;br&gt; [9] Statistic to use for annual aggregation &lt;br&gt; [10] Scaling options &lt;br&gt; [11] Export folder and label suffix &lt;br&gt;&lt;br&gt; &lt;i&gt;Output:&lt;/i&gt; Two CSVs containing zonal statistics for each of the FAO GAUL administrative level boundaries &lt;br&gt; &lt;i&gt;Output fields:&lt;/i&gt; system:index, 0-ADM0_CODE, 0-ADM0_NAME, 0-ADM1_CODE, 0-ADM1_NAME, 0-ADMN_CODE, 0-ADMN_NAME, 1-AREA_PERCENT_LULC, 1-AREA_SQM_LULC, 1-AREA_SQM_ZONE, 2-X_2001, 2-X_2002, 2-X_2003, ..., 2-X_2020, .geo &lt;br&gt;&lt;br&gt; &lt;img src ='https://github.com/cartoscience/seagul/blob/main/mszsi/mszsi_input_v5.PNG?raw=true' width='1000' height='auto'&lt;/img&gt; &lt;br&gt;&lt;br&gt; &lt;b&gt;PREPROCESSED DATA DOWNLOAD&lt;/b&gt; &lt;br&gt;&lt;br&gt; The datasets available for download contain zonal statistics at 2 administrative levels (FAO GAUL levels 1 and 2). Select countries from Southeast Asia and Sub-Saharan Africa &lt;b&gt;(Cambodia, Indonesia, Lao PDR, Myanmar, Philippines, Thailand, Vietnam, Burundi, Kenya, Malawi, Mozambique, Rwanda, Tanzania, Uganda, Zambia, Zimbabwe)&lt;/b&gt; are included in the current version, with plans to extend the dataset to contain global metrics. Each zip file is described below and two example NDVI tables are available for preview. &lt;br&gt;&lt;br&gt; &lt;b&gt;Key&lt;/b&gt;: [source, data, units, temporal range, aggregation, masking, zonal statistic, notes]  &lt;br&gt;&lt;br&gt; Currently available: &lt;br&gt;&lt;b&gt;MSZSI-V2_V-NDVI-MEAN.tar&lt;/b&gt;: [NASA-MODIS, NDVI, index, 2001\u20132020, annual mean, agriculture, mean, n/a]  &lt;br&gt;&lt;b&gt;MSZSI-V2_T-LST-DAY-MEAN.tar&lt;/b&gt;: [NASA-MODIS, LST Day, \u00b0C, 2001\u20132020, annual mean, agriculture, mean, n/a]  &lt;br&gt;&lt;b&gt;MSZSI-V2_T-LST-NIGHT-MEAN.tar&lt;/b&gt;: [NASA-MODIS, LST Night, \u00b0C, 2001\u20132020, annual mean, agriculture, mean, n/a]  &lt;br&gt;&lt;b&gt;MSZSI-V2_R-PRECIP-SUM.tar&lt;/b&gt;: [UCSB-CHG-CHIRPS, Precipitation, mm, 2001\u20132020, annual sum, agriculture, mean, n/a]  &lt;br&gt;&lt;b&gt;MSZSI-V2_S-BDENS-MEAN.tar&lt;/b&gt;: [OpenLandMap, Bulk density, g/cm3, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-ORGC-MEAN.tar&lt;/b&gt;: [OpenLandMap, Organic carbon, g/kg, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-PH-MEAN.tar&lt;/b&gt;: [OpenLandMap, pH in H2O, pH, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-WATER-MEAN.tar&lt;/b&gt;: [OpenLandMap, Soil water, % at 33kPa, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-SAND-MEAN.tar&lt;/b&gt;: [OpenLandMap, Sand, %, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-SILT-MEAN.tar&lt;/b&gt;: [OpenLandMap, Silt, %, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-CLAY-MEAN.tar&lt;/b&gt;: [OpenLandMap, Clay, %, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_E-ELEV-MEAN.tar&lt;/b&gt;: [MERIT, [elevation, slope, flowacc, HAND], [m, degrees, km&lt;sup&gt;2&lt;/sup&gt;, m], static, n/a, agriculture, mean, n/a] &lt;br&gt;&lt;br&gt;&lt;i&gt;Coming soon&lt;/i&gt; &lt;br&gt;&lt;b&gt;MSZSI-V2_C-STAX-MEAN.tar&lt;/b&gt;: [OpenLandMap, Soil taxonomy, category, static, n/a, agriculture, area sum, n/a] &lt;br&gt;&lt;b&gt;MSZSI-V2_C-LULC-MEAN.tar&lt;/b&gt;: [CGLS-LC100-V3, LULC, category, 2015\u20132019, mode, none, area sum, n/a] &lt;br&gt;&lt;br&gt;&lt;br&gt; &lt;img src ='https://github.com/cartoscience/seagul/blob/main/mszsi/mszsi_diagram_v2.png?raw=true' width='1000' height='auto'&lt;/img&gt; &lt;br&gt;&lt;br&gt; &lt;b&gt;Data sources:&lt;/b&gt;  &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD13Q1'&gt;https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD13Q1&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD11A2'&gt;https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD11A2&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_PENTAD'&gt;https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_PENTAD&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_BULKDENS-FINEEARTH_USDA-4A1H_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_BULKDENS-FINEEARTH_USDA-4A1H_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_ORGANIC-CARBON_USDA-6A1C_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_ORGANIC-CARBON_USDA-6A1C_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_PH-H2O_USDA-4C1A2A_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_PH-H2O_USDA-4C1A2A_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_CLAY-WFRACTION_USDA-3A1A1A_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_CLAY-WFRACTION_USDA-3A1A1A_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX_C_v01'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX_C_v01&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global'&gt;https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/MERIT_Hydro_v1_0_1'&gt;https://developers.google.com/earth-engine/datasets/catalog/MERIT_Hydro_v1_0_1&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level0'&gt;https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level0&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level1'&gt;https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level1&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level2'&gt;https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level2&lt;/a&gt;&lt;/li&gt; &lt;br&gt; &lt;b&gt;Project information:&lt;/b&gt; &lt;br&gt; SEAGUL: Southeast Asia Globalization, Urbanization, Land and Environment Changes &lt;br&gt; &lt;a href='http://seagul.info/'&gt;http://seagul.info/&lt;/a&gt;; &lt;a href='https://lcluc.umd.edu/projects/divergent-local-responses-globalization-urbanization-land-transition-and-environmental'&gt;https://lcluc.umd.edu/projects/divergent-local-responses-globalization-urbanization-land-transition-and-environmental&lt;/a&gt; &lt;br&gt; This project was made possible by the the NASA Land-Cover/Land-Use Change Program (Grant #: 80NSSC20K0740) &lt;br&gt;&lt;br&gt; For an additional interactive visualization, visit: &lt;a href='https://cartoscience.users.earthengine.app/view/maup-mapper-multi-scale-modis-ndvi'&gt;https://cartoscience.users.earthengine.app/view/maup-mapper-multi-scale-modis-ndvi&lt;/a&gt; &lt;br&gt;&lt;br&gt; &lt;img src ='https://github.com/cartoscience/seagul/blob/main/mszsi/mszsi_app.png?raw=true' width='1000' height='auto'&lt;/img&gt; &lt;br&gt;&lt;br&gt;&lt;br&gt; &lt;i&gt; Google Earth Engine code&lt;/i&gt; &lt;pre&gt; /*/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// MSZSI: Multi-Scale Zonal Statistics Inventory Authors: Brad G. Peter, Department of Geography, University of Alabama  Joseph Messina, Department of Geography, University of Alabama  Austin Raney, Department of Geography, University of Alabama  Rodrigo E. Principe, AgriCircle AG  Peilei Fan, Department of Geography, Environment, and Spatial Sciences, Michigan State University  Citation: Peter, Brad; Messina, Joseph; Raney, Austin; Principe, Rodrigo; Fan, Peilei, 2021,  'MSZSI: Multi-Scale Zonal Statistics Inventory', https://doi.org/10.7910/DVN/YCUBXS, Harvard Dataverse, V#  SEAGUL: Southeast Asia Globalization, Urbanization, Land and Environment Changes http://seagul.info/ https://lcluc.umd.edu/projects/divergent-local-responses-globalization-urbanization-land-transition-and-environmental This project was made possible by the the NASA Land-Cover/Land-Use Change Program (Grant #: 80NSSC20K0740)   ///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////*/  /*----------------------------------------------------------------------------------------------------------------------------------- Description: MSZSI is a data extraction tool for aggregating time-series remote sensing information to multiple administrative levels  using the FAO GAUL data layers.  Input parameterization: [1] Enter the country code for the desired country [2] Select a start and end year. Be sure to check for data availability in the collection selected in input 6. [3] Select a start month and end month to specify a temporal range within each year.  [4] Select an image collection for data aggregation. [5] Select the desired band from the image collection. [6] Option to mask data to a specific land-use/land-cover type. Enter 'TRUE' or 'FALSE'. [7] Enter a land-use/land-cover type code from CGLS LULC. Ignore this option if no masking is desired and set input 4 to 'FALSE'. [8] Select a statistics type for the zonal aggregations (defaults to mean) [9] Select a statistic for temporal aggregation (see available options in the parameterization below) [10] Scaling options [11] Export folder output file label suffix  Check tasks tab for CSV exports. Select a point on the map to view timeseries statistics.  Hover over the layers panel to turn layers on/off and set visualization parameters.   For an additional interactive visualization, visit: https://cartoscience.users.earthengine.app/view/maup-mapper-multi-scale-modis-ndvi  Boundary data Layers: https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level0 https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level1 https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level2 -----------------------------------------------------------------------------------------------------------------------------------*/  // \u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022 USER PARAMETERIZATION \u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022  /*[1]*/ var countryCode = 264  // Refer to http://www.fao.org/in-action/countrystat/news-and-events/events/training-material/gaul-codes2014/en/  /*[2]*/ var startYear = 2001 // Check data availability for the collection selected in input 4  var endYear = 2020 /*[3]*/ var startMonth = 1  var endMonth = 12  /*[4]*/ var ic = ee.ImageCollection('MODIS/006/MOD13Q1') /*[5]*/ var band = 'NDVI'  /*[6]*/ var maskToLULC = 'TRUE' // Set to 'TRUE' or 'FALSE'  /*[7]*/ var lcType = 40   // Refer to https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global  /*[8]*/ var zonalStatType = ee.Reducer.mean() // examples: ee.Reducer.mean(), ee.Reducer.median(), ee.Reducer.stdDev(),   // ee.Reducer.min(), ee.Reducer.max(), ee.Reducer.sum() /*[9]*/ var temporalAggregateType = 'mean' // available options: 'mean', 'median', 'stddev', 'min', 'max', 'sum'  /*[10]*/ var nativeScale = 'TRUE' // Set to 'TRUE' or 'FALSE'  var scale = 1000 // option to increase the scale to avoid memory crashes  /*[11]*/ var exportFolder = 'GEE_Exports'  var labelSuffix = 'NDVI-MEAN_VIETNAM'  // sample export name: MSZSI-V2_2001-2020_1-12_LC40_GAUL-152-L1_NDVI-MEAN_VIETNAM, but can be changed during download prompt  // note that some country names will need to be adjusted in the download prompt if they contain special characters  ///////////////////////////////////////////////////// NO USER INPUT NEEDED BELOW ////////////////////////////////////////////////////  // Administrative zones and preprocessing ------------------------------------------------------------------------------------------- ic = ic.select(band) var years = ee.List.sequence(startYear,endYear)  var fc_L0 = ee.FeatureCollection('FAO/GAUL/2015/level0').filterMetadata('ADM0_CODE','equals',countryCode) var fc_L1 = ee.FeatureCollection('FAO/GAUL/2015/level1').filterMetadata('ADM0_CODE','equals',countryCode)  .select(['ADM0_CODE','ADM0_NAME','ADM1_CODE','ADM1_NAME'],  ['0-ADM0_CODE','0-ADM0_NAME','0-ADM1_CODE','0-ADM1_NAME']) fc_L1 = fc_L1.map(function(f) {  return f.set('0-ADM2_CODE','NULL').set('0-ADM2_NAME','NULL')  })   var fc_L2 = ee.FeatureCollection('FAO/GAUL/2015/level2').filterMetadata('ADM0_CODE','equals',countryCode)  .select(['ADM0_CODE','ADM0_NAME','ADM1_CODE','ADM1_NAME','ADM2_CODE','ADM2_NAME'],  ['0-ADM0_CODE','0-ADM0_NAME','0-ADM1_CODE','0-ADM1_NAME','0-ADM2_CODE','0-ADM2_NAME'])  // LULC preprocessing --------------------------------------------------------------------------------------------------------------- var lulc = ee.ImageCollection('COPERNICUS/Landcover/100m/Proba-V-C3/Global').select('discrete_classification') var lulcMode = lulc.mode().eq(lcType) var lcLabel = '_LC'+lcType var lulcClip = lulcMode.clip(fc_L0) var lulcZone = lulcClip.remap([0,1],[1,1]).rename('zoneArea') var mask = lulcClip.updateMask(lulcClip.eq(1)).rename('mask')  if(maskToLULC == 'FALSE') {  lcLabel = ''  mask = lulcZone }  if(nativeScale == 'TRUE') {  scale = lulc.first().projection().nominalScale() }  // Add area fields ------------------------------------------------------------------------------------------------------------------ var temporal = ee.ImageCollection(years.map(function(y) {  var filterYear = ic.filter(ee.Filter.calendarRange(y,y,'year'))  .filter(ee.Filter.calendarRange(startMonth, endMonth, 'month'))   var aggregate // the temporal aggregation type is set in input 9  if (temporalAggregateType == 'mean') {  aggregate = filterYear.mean()  }  if (temporalAggregateType == 'median') {  aggregate = filterYear.median()  }  if (temporalAggregateType == 'stddev') {  aggregate = filterYear.stdDev()  }  if (temporalAggregateType == 'min') {  aggregate = filterYear.min()  }  if (temporalAggregateType == 'max') {  aggregate = filterYear.max()  }  if (temporalAggregateType == 'sum') {  aggregate = filterYear.sum()  }    return aggregate.where(aggregate.eq(0),1e-10) // True zeroes are currently set to 1e-10 to avoid false no data flags  .updateMask(mask)  .set('extract',ee.String('2-'+labelSuffix+'_').cat(ee.Number(y).toInt()))  .set('year',ee.Number(y).toInt())  .rename('band') }))  // Run functions for each administrative level -------------------------------------------------------------------------------------- var zonal_L1 = zonalStat(fc_L1) var zonal_L2 = zonalStat(fc_L2) var merge = zonal_L1.combine(zonal_L2)  var fcAreas_L1 = getAreas(fc_L1) var fcAreas_L2 = getAreas(fc_L2)  var samples_L1 = createSamples(fc_L1) var samples_L2 = createSamples(fc_L2)  var added_L1 = addFields(samples_L1,fcAreas_L1.select('zoneAreas'),fcAreas_L1.select('lulcAreas')) var added_L2 = addFields(samples_L2,fcAreas_L2.select('zoneAreas'),fcAreas_L2.select('lulcAreas'))  exporter(added_L1,zonal_L1,1) exporter(added_L2,zonal_L2,2)  // Calculate zonal statistics ------------------------------------------------------------------------------------------------------- function zonalStat(fc) {  return temporal.map(function(i) {  var year = i.get('year')  return i.reduceRegions({  collection: fc,  reducer: ee.Reducer.mean().setOutputs(['zStat']),   scale: scale  }).reduceToImage({  properties: ['zStat'],  reducer: ee.Reducer.first()  }).set('extract',i.get('extract')).set('year',year).rename('band')  }) }  // Calculate areas ------------------------------------------------------------------------------------------------------------------ function getAreas(fc) {  var zoneAreas = ee.Image.pixelArea().updateMask(lulcZone).reduceRegions({  collection: fc,  reducer: ee.Reducer.sum(),   scale: scale  }).reduceToImage({  properties: ['sum'],  reducer: ee.Reducer.first()  }).rename('zoneAreas')  var lulcAreas = ee.Image.pixelArea().updateMask(mask).reduceRegions({  collection: fc,  reducer: ee.Reducer.sum(),   scale: scale  }).reduceToImage({  properties: ['sum'],  reducer: ee.Reducer.first()  }).rename('lulcAreas')  return zoneAreas.addBands(lulcAreas) }  // Feature to points ---------------------------------------------------------------------------------------------------------------- function createSamples(fc) {  return fc.map(function(g) {  return ee.Feature(ee.FeatureCollection.randomPoints({  region: g.geometry(),   points: 1,   seed: 0  }).geometry()).copyProperties(g)  })  }  // Add area fields ------------------------------------------------------------------------------------------------------------------ function addFields(samples, areaGridZone, areaGridLULC) {  return samples.map(function(p) {  var point = p.geometry()  var zoneArea = areaGridZone.rename('area').reduceRegion({  reducer: ee.Reducer.first(),   geometry: point,   scale: 1,   maxPixels: 1e13  }).get('area')  var lulcArea = areaGridLULC.rename('area').reduceRegion({  reducer: ee.Reducer.first(),  geometry: point,  scale: 1  }).get('area')  var percLULC = ee.Number(lulcArea).divide(zoneArea).multiply(100)  return ee.Feature(p).set('1-AREA_SQM_LULC',0)  .set('1-AREA_SQM_ZONE',zoneArea).set('1-AREA_SQM_LULC',ee.Algorithms.If(lulcArea,lulcArea,0))  .set('1-AREA_PERCENT_LULC',ee.Algorithms.If(lulcArea,percLULC,0))  }) }  // Export function ------------------------------------------------------------------------------------------------------------------ function exporter(e,zones,n) {  var extracted = e.map(extractToPoints)  function extractToPoints(feature) {  var geom = feature.geometry()  var addField = function(image, f) {  var newFeature = ee.Feature(f)  var getName = image.get('extract')  var setValue = image.reduceRegion({  reducer: ee.Reducer.first(),   geometry: geom,   scale: 1,   maxPixels: 1e13  }).get('band')  return ee.Feature(ee.Algorithms.If(setValue,  newFeature.set(getName, ee.String(setValue)),  newFeature.set(getName, ee.String('No data'))))  }  var newFeature = ee.Feature(zones.iterate(addField, feature))  return newFeature  }    Export.table.toDrive({  collection: extracted,  description: 'MSZSI-V2_'+startYear+'-'+endYear+'_'+startMonth+'-'+endMonth  +lcLabel+'_GAUL-'+countryCode+'-L'+n+'_'+labelSuffix,  folder: exportFolder  }) }  // Map display settings ------------------------------------------------------------------------------------------------------------- var leftMap = ui.Map() var rightMap = ui.Map() ui.Map.Linker([leftMap, rightMap]) ui.root.widgets().reset([leftMap,rightMap]) leftMap.centerObject(fc_L0) leftMap.setOptions('HYBRID').style().set('cursor', 'crosshair') rightMap.setOptions('HYBRID').style().set('cursor', 'crosshair')  // Adds each image to the map displays var len = years.length().getInfo() for (var i = 0; i &lt; len; i++) {  var year = i+startYear  var namer = 'ZSTATS_'+year  var image_L1 = ee.Image(zonal_L1.toList(zonal_L1.size()).get(i)).rename(band)  var image_L2 = ee.Image(zonal_L2.toList(zonal_L2.size()).get(i)).rename(band)  leftMap.addLayer(image_L1,{},namer,false)  rightMap.addLayer(image_L2,{},namer,false) }  var hollow = {color: 'white', width: 0.3, fillColor: '00000000'} leftMap.addLayer(fc_L1.style(hollow),{},'FAO-GAUL-L1') rightMap.addLayer(fc_L2.style(hollow),{},'FAO-GAUL-L2')  // Chart display settings ----------------------------------------------------------------------------------------------------------- var chartOptions = {  fontSize: 11,  width: '100px',  curveType: 'function',  format: 'short',  margin: '0 0 0 0',  hAxis: {format: '0000', textStyle: {fontSize: 10, color: '303030'}, gridlines: {color: 'transparent'}},  vAxis: {textStyle: {fontSize: 10, color: '303030'}, gridlines: {}},  trendlines: {0: {color: '303030', lineWidth: 0.5, visibleInLegend: false}},  series: {0: {color: '303030', lineWidth: 0.8}},  legend: {textStyle: {color: '303030'}}, }  var panelStyle = {  width: '235px',  position: 'bottom-left',  margin: '0 0 0 0',  border: '1px solid #303030' } var leftChart = ui.Panel({  widgets: ui.Label('Select a point to chart regional time-series',{margin: '0 0 0 0', color:'303030'}),  style: panelStyle }) leftMap.add(leftChart)  // onClick function to query time-series --------------------------------------------------------------------------------------------  function pickLocation(location) {  leftChart.widgets().set(0,ui.Label('Time-series',{fontSize: '14px', fontWeight: 'bold', color: '303030', margin: '7px 0 7px 10px'}))  var chartOptions = {  fontSize: 10,  height: '200px',  curveType: 'function',  format: 'short',  margin: '0 0 0 0',  hAxis: {format: '0000', textStyle: {fontSize: 11, color: '303030'}, gridlines: {color: 'transparent'}},  vAxis: {textStyle: {fontSize: 10, color: '303030'}, gridlines: {}},  trendlines: {0: {color: 'blue', lineWidth: 0.5, visibleInLegend: false},  1: {color: 'red', lineWidth: 0.5, visibleInLegend: false}  },  series: {0: {color: 'blue', lineWidth: 0.8},  1: {color: 'red', lineWidth: 0.8}  },  legend: {position:'none'}  }    leftChart.widgets().set(1,ui.Label('Loading...',{fontSize: '13px',color:'9C9C9C', margin: '0 0 7px 10px'}))  leftChart.widgets().set(2,ui.Label('',{fontSize: '13px',color:'9C9C9C', margin: '0 0 7px 10px'}))    var pLat = location.lat  var pLon = location.lon  var point = ee.Geometry.Point([pLon,pLat])  var selection_L1 = fc_L1.filterBounds(point)  var selection_L2 = fc_L2.filterBounds(point)  var zone_L1_name = ee.Feature(selection_L1.first()).get('0-ADM1_NAME')  var zone_L2_name = ee.Feature(selection_L2.first()).get('0-ADM2_NAME')    leftChart.widgets().set(3,ui.Chart.image.series({  imageCollection: merge,  region: point,  scale: scale,  xProperty: 'year'  }).setOptions(chartOptions))    zone_L1_name.evaluate(function(result_L1) {  zone_L2_name.evaluate(function(result_L2) {  leftChart.widgets().set(1,ui.Label(result_L1+' (L1)',{fontSize: '13px', color: 'blue', margin: '0 0 7px 10px'}))  leftChart.widgets().set(2,ui.Label(result_L2+' (L2)',{fontSize: '13px', color: 'red', margin: '0 0 0 10px'}))  })  })    leftMap.layers().set(len+1, ui.Map.Layer(point,{color: 'blue', opacity: 0.6},'Selected point'))  rightMap.layers().set(len+1, ui.Map.Layer(point,{color: 'red', opacity: 0.6},'Selected point')) }  leftMap.onClick(pickLocation) rightMap.onClick(pickLocation) &lt;/pre&gt;", "keywords": ["Computer and Information Science", "Agricultural Sciences", "Earth and Environmental Sciences", "Social Sciences"], "contacts": [{"organization": "Peter, Brad, Messina, Joseph, Raney, Austin, Principe, Rodrigo, Fan, Peilei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/M4ZGXP"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/M4ZGXP", "name": "item", "description": "10.7910/DVN/M4ZGXP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/M4ZGXP"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/MIYBQE", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:29Z", "type": "Dataset", "title": "Ecogeographic land characterization map of the SADC region", "description": "With the aim of planning for the in situ and ex situ conservation of priority crop wild relatives (CWR) of the Southern African Development Community (SADC), a gap analysis at intra-specific level (i.e. ecogeographic diversity level used as a proxy of genetic diversity), was carried out. For this purpose, a generalist Ecogeographic Land Characterization (ELC) map for the SADC region was created using the ELC mapas tool of CAPFITOGEN (http://www.capfitogen.net/, Parra-Quijano et al., 2008, 2016) based on 16 ecogeographic variables from three different components (four geophysic variables, seven edaphic, and five bioclimatic; see the list below) at a resolution of 2.5 arc minutes (approximately 4.5 km at the equator). The Calinski-Harabasz (1974) criterion was applied to obtain an objective number of clusters for each bioclimatic, edaphic and geophysic multivariate analysis. The ELC map was then clipped to the SADC countries using ArcGIS 10.4.1 (ESRI, 2016). A total of 16 ecogeographic categories were identified in the SADC region with distinct ecogeographic characteristiscs (see file 'ELC_SADC_region_statistics.xlsx'). The files made available here include: the raster file of the ELC map of the SADC region (which is composed of 16 different files) and an Excel file which describes the statistics (i.e. average, median, maximum, minimum and standard deviation) of each ecogeographic category present in the map ('ELC_SADC_region_statistics.xlsx').&lt;br&gt;  &lt;br&gt;&lt;b&gt;Variables:&lt;/b&gt; Geophysic: altitude (m) (WorldClim 1.4, http://worldclim.org), slope (\u00b0), latitude (decimal degrees), longitude (decimal degrees). Edaphic: topsoil organic carbon (% weight), topsoil pH (H2O) [-log(H+)], topsoil silt fraction (% weight), topsoil sand fraction (% weight), topsoil gravel content (% vol.), topsoil clay fraction (% weight), topsoil TEB (total exchangeable bases) (cmol/kg) (HWS Database, http://www.iiasa.ac.at/Research/LUC/External-World-soil-database/). Bioclimatic: annual precipitation (bio_12) (mm), precipitation seasonality (coefficient of variation) (bio_15) (mm), isothermality (bio_2/bio_7) (*100) (bio_3), max temperature of warmest month (bio_5) (\u00b0C), min temperature of coldest month (bio_6) (\u00b0C) (WorldClim 1.4, http://worldclim.org).&lt;br&gt;  &lt;br&gt;&lt;b&gt;References:&lt;/b&gt; Calinski T and Harabasz J (1974) A dendrite method for cluster analysis. Communications in Statistics, 3(1): 1\u201227. ESRI (2016) ArcGIS Desktop release Version 10.4.1. Environmental Systems Research Institute. Redlands. CA. Parra-Quijano M, Draper D and Torres E (2008) Ecogeographical representativeness in crop wild relative ex situ collections. In: Maxted N, Ford\u2010Lloyd BV, Kell SP, Iriondo JM, Dulloo E and Turok J (eds), Crop wild relative conservation and use, pp. 249\u201373. Wallingford: CAB International. Parra-Quijano M, Torres E, Iriondo JM, L\u00f3pez F and Molina A (2016) CAPFITOGEN tools user manual, version 2.0. Rome, Italy: International Treaty on Plant Genetic Resources for Food and Agriculture, FAO. Available at: http://www.capfitogen.net/en/access/manuals/ [Accessed July 2021].", "keywords": ["Agricultural Sciences", "PLANNING", "PLANT GENETIC RESOURCES", "AGROBIODIVERSITY", "GENETIC DIVERSITY AS RESOURCE"], "contacts": [{"organization": "Magos Brehm, Joana", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/MIYBQE"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/MIYBQE", "name": "item", "description": "10.7910/DVN/MIYBQE", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/MIYBQE"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/W9LSAD", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:30Z", "type": "Dataset", "created": "2015-01-01", "title": "Replication data: Zn efficient rice genotypes alter soil Zn availability, composition and Zn uptake in Zn-deficient and Zn-sufficient field soils under continuous flooding", "description": "Open Accessapplication/vnd.ms-excel, null", "keywords": ["biofortification", "Agricultural Sciences", "zinc deficiency", "Oryza sativa"], "contacts": [{"organization": "Goloran, Johnvie", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/W9LSAD"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/W9LSAD", "name": "item", "description": "10.7910/DVN/W9LSAD", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/W9LSAD"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-24T00:00:00Z"}}, {"id": "10.1051/agro/2010030", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:18:37Z", "type": "Journal Article", "created": "2010-09-17", "title": "Effects Of Fertilization And Soil Management On Crop Yields And Carbon Stabilization In Soils. A Review", "description": "The study of sustainable land use is complex and long-term experiments are required for a better understanding of the processes of carbon stabilization. Objectives were (i) to describe for four long-term experiments the effects of fertilization and soil management on crop yields and the dynamics of soil organic carbon (SOC) and total N, and (ii) to discuss the usefulness of models for a better understanding of the underlying processes. Data of soil organic carbon and total N of four long-term experiments in Germany and China which studied the effect of fertilization (Bad Lauchstadt, Darmstadt) and tillage (Gottingen, Quzhou) were evaluated and soil organic carbon fractionation was carried out. The Rothamsted Carbon Model was used for a description and prediction of soil organic carbon dynamics as affected by fertilization and tillage in Bad Lauchstadt and Quzhou. The type of fertilizer added at common rates \u2014 either mineral N or farmyard manure \u2014 affected the crop yields only slightly, with slightly lower yields after manure application compared with mineral N fertilization. For both fertilization trials, manure applications at common rates had beneficial effects on soil organic carbon stocks in the labile pool (turnover time estimated as  0.25 mm). For Quzhou, no-tillage and conventional tillage had similar effects on total C stocks, with a greater spatial variability in soil organic carbon stocks in the no-tillage plots. Modeling required site-specific calibrations for the stock of inert organic matter for each of the sites, indicating that not all carbon stabilization processes are included in the model and that application of a model to a new site may also need site-specific adjustments before it can be used for predictions. After site-specific calibration, however, model predictions for the remaining treatments were generally accurate for the fertilization and tillage trials, which emphasizes the importance of temperature, moisture, soil cover and clay content on the decomposition dynamics of soil organic carbon and the significance of amounts and quality of carbon inputs in the soil for maintaining or increasing soil organic carbon stocks in arable soils.", "keywords": ["2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "Environmental Engineering", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Agronomy and Crop Science", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1051/agro/2010030"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy%20for%20Sustainable%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1051/agro/2010030", "name": "item", "description": "10.1051/agro/2010030", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1051/agro/2010030"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-09-20T00:00:00Z"}}, {"id": "10.1051/agro:2008012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:18:37Z", "type": "Journal Article", "created": "2008-04-15", "title": "Yield Potential And Land-Use Efficiency Of Wheat And Faba Bean Mixed Intercropping", "description": "In Ethiopia, food production for a rapidly growing population from a continually shrinking farm size is a prime developmental challenge. Rising input costs, decline in soil quality, and buildup of insect pests, diseases and weeds have threatened the ecological and economic sustainability of crop production. To address those issues, intercropping of cereals with pulse crops could increase total grain production, provide diversity of products, stabilize yield over seasons, reduce economic and environmental risks common in monoculture systems, and thereby enhance sustainability. Here, mixed intercropping of wheat (Triticum aestivum L.) with faba bean (Vicia faba L.) was compared with sole culture of each species in 2002 and 2003 at Holetta Agricultural Research Center, in the central highlands of Ethiopia. The treatments were sole wheat at a seed rate of 175 kg ha \u22121 , sole faba bean at a seed rate of 200 kg ha \u22121 , and an additive series of 12.5, 25, 37.5, 50 and 62.5% of the sole faba bean seed rate mixed with the full sole wheat seed rate. Our results showed that mixed intercropping increased the land equivalent ratio by +3% to +22% over sole cropping. Increasing the faba bean seed rate in the mixture from 12.5 to 62.5% reduced wheat grain yield from 3601 kg ha \u22121 to 3039 kg ha \u22121 but increased faba bean grain yield from 141 kg ha \u22121 to 667 kg ha \u22121 . Sole culture grain yield exceeded mixed culture grain yield by + 5t o+25% for wheat and by +172 to +1190% for faba bean. Nonetheless, we obtained the highest total grain yield of 4031 kg ha \u22121 , gross monetary value of US$ 823, system productivity index of 4629 and crowding coefficient of 4.70 when wheat at its full seed rate was intercropped with faba bean at a rate of 37.5%. On average, weed biomass was reduced from 40.4 g m \u22122 in sole wheat to 31.1 g m \u22122 in mixed culture and the chocolate spot disease score was reduced from 5.1 in sole faba bean to 3.4 in mixed culture. In conclusion, intercropping of wheat with faba bean may increase total yield and revenue, reduce weed and disease pressure, increase land-use efficiency, and thereby enhance sustainability of crop production in Ethiopian highlands. aggressivity / crowding coefficient / faba bean / land-use efficiency / intercropping / wheat", "keywords": ["0106 biological sciences", "2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "12. Responsible consumption"]}, "links": [{"href": "https://doi.org/10.1051/agro:2008012"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy%20for%20Sustainable%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1051/agro:2008012", "name": "item", "description": "10.1051/agro:2008012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1051/agro:2008012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-06-01T00:00:00Z"}}, {"id": "10.1007/s13165-020-00330-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:48Z", "type": "Journal Article", "created": "2020-10-07", "title": "Current use of copper, mineral oils and sulphur for plant protection in organic horticultural crops across 10 European countries", "description": "The use of several plant protection inputs of mineral origin, such as copper, sulphur or mineral oils is seen as contentious by many consumers and stakeholders within the organic sector. Although the use of these inputs is legal in organic systems and also applied in non-organic agriculture, their use by organic growers raises questions for organic practice, which aspires to be free from toxic, non-renewable chemicals. Data on the current use of permitted plant protection inputs is currently scarce, especially in horticulture where chemical inputs deserve special attention since horticultural products are often readily edible. A mapping of the use of copper, sulphur and mineral oils was conducted by collecting expert knowledge across 10 European countries during May\u2013October 2018, i.e. before the limitation of copper use to 4\u00a0kg\u00a0ha\u22121\u00a0year\u22121 from February 1, 2019. Results show that copper is widely used by Mediterranean organic growers in citrus, olive, tomato and potato production. The annual limit of 6\u00a0kg\u00a0ha\u22121\u00a0year\u22121 was not always respected. We also found that tomato producers apply high amounts of copper in winter crops in greenhouses. Mineral oils are applied to control scales, mites and whiteflies. Sulphur is also commonly used by organic vegetable growers, especially in greenhouses. We conclude that the high usage found in various different crops (especially Mediterranean crops) confirms the need for researching alternatives.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "0106 biological sciences", "0301 basic medicine", "2. Zero hunger", "plant protection", "571", "Crop health", " quality", " protection", "Mediterranean crops", "Greenhouse crops", "tomato", "15. Life on land", "01 natural sciences", "[SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy", "Organic-PLUSX", "03 medical and health sciences", "13. Climate action", "Contentious inputs", "Vegetables", "FiBL60073", "Mediterranean crops", " Greenhouse crops", " Tomato", " Contentious inputs", " plant protection", "Abacus"]}, "links": [{"href": "https://www.iris.unict.it/bitstream/20.500.11769/494877/1/Katsoulas2020_Article_CurrentUseOfCopperMineralOilsA%20%282%29.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1007/s13165-020-00330-2.pdf"}, {"href": "https://doi.org/10.1007/s13165-020-00330-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Organic%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13165-020-00330-2", "name": "item", "description": "10.1007/s13165-020-00330-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13165-020-00330-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-07T00:00:00Z"}}, {"id": "10.1016/j.still.2008.10.005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:46Z", "type": "Journal Article", "created": "2008-12-17", "title": "Assessment Of Tillage Erosion Rates On Steep Slopes In Northern Laos", "description": "Abstract   In the hills of south-east Asia shifting cultivation is developing towards more permanent cropping systems. In association with short fallow periods, fields suffer from weed pressure and this, in turn, leads to more frequent and deeper manual tillage. Due to steep slopes these operations induce tillage erosion. Measurements of such soil losses under on-farm conditions are still scarce. In this study tillage erosion was assessed and a predictive model of tillage erosion was established based on slope angle and contact cover, i.e. basal crop area and weed cover. The experiments were conducted in the Houay Pano, Northern Laos. The farmers cultivate annual crops in rotation with 1\u20133 year fallow periods without external inputs and using only hand tools. Tillage erosion was assessed using the tracer method across nine slope classes (0.30\u20131.10\u00a0m\u00a0m \u22121 ) for two crops, upland rice and Job's tears ( Coix lacryma-jobi  L.). Soil movement due to land preparation and weeding were assessed separately because different tools are used, a medium size hoe and a small curved hoe. A multivariate regression showed a highly significant relation ( R  2 \u00a0=\u00a00.83) between soil losses due to land preparation, slope gradient and contact cover. Predicting models of soil losses due to weeding were also highly significant ( R  2 \u00a0=\u00a00.79 for upland rice,  R  2 \u00a0=\u00a00.88 for Job's tears), confirming the importance of tillage erosion on steep slopes (4, 6 and 11\u00a0t\u00a0ha \u22121 \u00a0year \u22121  on slopes with gradients of 0.30, 0.60 and 0.90\u00a0m\u00a0m \u22121 , respectively). Tillage erosion has increased exponentially over the last 40 years because of weed invasion associated with short fallow periods; the initially no-till system has changed into a system heavily dependent on tillage to control weeds and this greatly contributes to soil degradation.", "keywords": ["subsistence farming", "2. Zero hunger", "weed control", "Upland rice", "sloping land", "04 agricultural and veterinary sciences", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "erosion", "shifting cultivation", "Weed pressure", "01 natural sciences", "630", "Tillage erosion", "Steep slopes", "upland rice", "Job's tears", "tillage", "Shifting cultivation", "0401 agriculture", " forestry", " and fisheries", "farming systems", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2008.10.005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2008.10.005", "name": "item", "description": "10.1016/j.still.2008.10.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2008.10.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-04-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2018.06.014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:06Z", "type": "Journal Article", "created": "2018-06-18", "title": "Estimating the water budget components of irrigated crops: Combining the FAO-56 dual crop coefficient with surface temperature and vegetation index data", "description": "Abstract   The FAO-56 dual crop coefficient (FAO-2Kc) model has been extensively used at the field scale to estimate the crop water requirements by means of the simulated evapotranspiration (ET) and its two components evaporation (E) and transpiration (T). Given that the main limitation of FAO-2Kc for operational irrigation management over large areas is the unavailability (over most irrigated areas) of irrigation data, this study investigates the feasibility 1) to constrain the FAO-2Kc ET from LST and VI data, 2) to retrieve irrigation amounts and dates from LST and VI data and 3) to estimate the root-zone soil moisture (RZSM) at the daily scale. In practice, the vegetation and soil temperatures retrieved from LST/VI data are used to estimate the FAO-2Kc vegetation stress coefficient (Ks) and soil evaporation reduction coefficient (Kr), respectively. The modeling and remote sensing combined approach is tested over a wheat crop field in central Morocco, and results are evaluated in terms of ET, irrigation and RZSM estimates. ET is estimated with a RMSE of 0.68\u202fmm day-1 compared to 0.84\u202fmm day-1 for the standard (without using LST data) FAO-2Kc based on tabulated values for the parameters. The total irrigation depth (67\u202fmm) is correctly estimated and is very close to the actual effective irrigation (69.8\u202fmm) applied by the farmer. Daily RZSM is estimated with an R2 value of 0.68 (0.42) and a RMSE value of 0.034 (0.061) m3 m-3 by forcing FAO-2Kc using the retrieved irrigation (from LST-derived estimates and precipitation only). Since spaceborne LST data are currently not available at both high-spatial and high-temporal resolution, a sensitivity analysis is finally undertaken to assess the potential and applicability of the proposed methodology to temporally-sparse thermal data.", "keywords": ["FAO-56", "0106 biological sciences", "2. Zero hunger", "550", "Evapotranspiration", "[SDE.IE]Environmental Sciences/Environmental Engineering", "Root-zone soil moisture", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Root-Zone Soil Moisture", "Surface Temperature", "[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation", "01 natural sciences", "6. Clean water", "Surface temperature", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation", "[SDE.IE] Environmental Sciences/Environmental Engineering", "Irrigation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2018.06.014"}, {"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.2018.06.014", "name": "item", "description": "10.1016/j.agwat.2018.06.014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2018.06.014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-01T00:00:00Z"}}, {"id": "9b81642374175d90e0b717deca64ff67", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:29:13Z", "type": "Report", "title": "Satellite time series contribution to organic carbon mapping in cultivated soils at various regional scales", "description": "Open AccessLe carbone organique du sol (COS) dans les zones agricoles joue un r\u00f4le cl\u00e9 dans la s\u00e9curit\u00e9 alimentaire et l'att\u00e9nuation du changement climatique. La quantification du COS est n\u00e9cessaire pour mettre en \u0153uvre des techniques et des pratiques de stockage. Cependant, l'\u00e9chantillonnage du COS dans un monde qui couvre environ 1,5 milliard d'hectares de sols agricoles est un v\u00e9ritable d\u00e9fi. C'est pourquoi l'utilisation de technologies telles que les capteurs satellitaires constitue une alternative prometteuse pour quantifier et cartographier le COS dans diff\u00e9rents types d'agro\u00e9cosyst\u00e8mes \u00e0 travers le monde. L'objectif de cette th\u00e8se est d'\u00e9valuer le potentiel des images satellitaires Sentinel-2 (S2) et Sentinel-1 (S1) pour la cartographie du COS dans les agro-\u00e9cosyst\u00e8mes de la France m\u00e9tropolitaine en utilisant des mod\u00e8les spectraux et spatio-spectraux. Le chapitre 1 aborde l'\u00e9tat d'avancement de la cartographie du COS en France et pr\u00e9sente les principales limitations et m\u00e9thodes actuellement utilis\u00e9es avec les donn\u00e9es d'images satellitaires pour la pr\u00e9diction du COS. Le chapitre 2 pr\u00e9sente les zones d'\u00e9tude situ\u00e9es dans les r\u00e9gions Bretagne, Occitanie et Centre Val de Loire. De plus, les principaux ensembles de donn\u00e9es utilis\u00e9s sont d\u00e9crits et une analyse pr\u00e9liminaire de l'une des zones d'\u00e9tude est pr\u00e9sent\u00e9e. Le troisi\u00e8me chapitre \u00e9value le potentiel des images S2 et des produits d\u00e9riv\u00e9s de S1 et S2 pour pr\u00e9dire le SOC \u00e0 l'aide d'images \u00e0 date unique. Dans ce chapitre comme dans le second, des limitations li\u00e9es principalement aux conditions de surface du sol ont \u00e9t\u00e9 observ\u00e9es ; et les meilleures dates d'image pour d\u00e9tecter le SOC ont \u00e9t\u00e9 identifi\u00e9es. Dans la quatri\u00e8me au lieu d'images \u00e0 date unique, l'utilisation de mosa\u00efques temporelles S2 de sol nu (S2Bsoil) par p\u00e9riodes est abord\u00e9e comme l'utilisation de covariables d\u00e9riv\u00e9es de l'imagerie satellitaire et du terrain. Ce chapitre traite de l'importance de la s\u00e9lection des p\u00e9riodes de production de S2Bsol et de l'utilisation de covariables pertinentes pour comprendre la variabilit\u00e9 spatiale du COS \u00e0 l'\u00e9chelle r\u00e9gionale. Enfin, le dernier chapitre aborde les principaux constats et perspectives \u00e0 envisager dans un futur proche.", "keywords": ["[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "[SDE.MCG] Environmental Sciences/Global Changes", "S\u00e9ries satellitaires Sentinel", "Digital soil mapping", "Soil organic carbon", "Carbone organique du sol", "Bare soil", "Sentinel time series", "Sol nu", "Croplands", "Terres agricoles", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Cartographie num\u00e9rique des sols"], "contacts": [{"organization": "Urbina Salazar, Diego Fernando", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/9b81642374175d90e0b717deca64ff67"}, {"rel": "self", "type": "application/geo+json", "title": "9b81642374175d90e0b717deca64ff67", "name": "item", "description": "9b81642374175d90e0b717deca64ff67", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/9b81642374175d90e0b717deca64ff67"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.1007/978-94-007-0394-0_20", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:47Z", "created": "2011-02-08", "title": "Biofuels, Greenhouse Gases And Climate Change", "description": "Biofuels are fuels produced from biomass, mostly in liquid form, within a time frame sufficiently short to consider that their feedstock (biomass) can be renewed, contrarily to fossil fuels. This paper reviews the current and future biofuel technologies, and their development impacts (including on the climate) within given policy and economic frameworks. Current technologies make it possible to provide first generation biodiesel, ethanol or biogas to the transport sector to be blended with fossil fuels. Still under-development 2nd generation biofuels from lignocellulose should be available on the market by 2020. Research is active on the improvement of their conversion efficiency. A ten-fold increase compared with current cost-effective capacities would make them highly competitive. Within bioenergy policies, emphasis has been put on biofuels for transportation as this sector is fast-growing and represents a major source of anthropogenic greenhouse gas emissions. Compared with fossil fuels, biofuel combustion can emit less greenhouse gases throughout their life cycle, considering that part of the emitted returns to the atmosphere where it was fixed from by photosynthesis in the first place. Life cycle assessment (LCA) is commonly used to assess the potential environmental impacts of biofuel chains, notably the impact on global warming. This tool, whose holistic nature is fundamental to avoid pollution trade-offs, is a standardised methodology that should make comparisons between biofuel and fossil fuel chains objective and thorough. However, it is a complex and time-consuming process, which requires lots of data, and whose methodology is still lacking harmonisation. Hence the life-cycle performances of biofuel chains vary widely in the literature. Furthermore, LCA is a site- and time- independent tool that cannot take into account the spatial and temporal dimensions of emissions, and can hardly serve as a decision-making tool either at local or regional levels. Focusing on greenhouse gases, emission factors used in LCAs give a rough estimate of the potential average emissions on a national level. However, they do not take into account the types of crop, soil or management practices, for instance. Modelling the impact of local factors on the determinism of greenhouse gas emissions can provide better estimates for LCA on the local level, which would be the relevant scale and degree of reliability for decision-making purposes. Nevertheless, a deeper understanding of the processes involved, most notably emissions, is still needed to definitely improve the accuracy of LCA. Perennial crops are a promising option for biofuels, due to their rapid and efficient use of nitrogen, and their limited farming operations. However, the main overall limiting factor to biofuel development will ultimately be land availability. Given the available land areas, population growth rate and consumption behaviours, it would be possible to reach by 2030 a global 10% biofuel share in the transport sector, contributing to lower global greenhouse gas emissions by up to (IEA, 2006), provided that harmonised policies ensure that sustainability criteria for the production systems are respected worldwide. Furthermore, policies should also be more integrative across sectors, so that changes in energy efficiency, the automotive sector and global consumption patterns converge towards drastic reduction of the pressure on resources. Indeed, neither biofuels nor other energy source or carriers are likely to mitigate the impacts of anthropogenic pressure on resources in a range that would compensate for this pressure growth. Hence, the first step is to reduce this pressure by starting from the variable that drives it up, i.e. anthropic consumptions.", "keywords": ["effet de serre", "BIOFUELS;ENERGY CROPS;PERENNIALS;LCA;GREENHOUSE GASES;CLIMATE CHANGE;POLITICAL AND ECONOMIC FRAMEWORKS;BIOENERGY POTENTIAL;LAND-USE CHANGE;NITROUS OXIDE;CARBON DIOXIDE;AGRICULTURAL PRATICES \u00a0;AGRONOMIE;", "0211 other engineering and technologies", "02 engineering and technology", "7. Clean energy", "12. Responsible consumption", "dioxyde de carbone", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "biomasse", "pratique culturale", "\u00e9nergie", "2. Zero hunger", "changement climatique", "oxyde nitreux", "gaz trace", "\u00e9mission", "Agricultural sciences", "flux", "culture \u00e9nerg\u00e9tique", "cycle de vie", "biocarburant", "13. Climate action", "politique \u00e9nerg\u00e9tique", "impact sur l'environnement", "Sciences agricoles"]}, "links": [{"href": "https://doi.org/10.1007/978-94-007-0394-0_20"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/978-94-007-0394-0_20", "name": "item", "description": "10.1007/978-94-007-0394-0_20", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/978-94-007-0394-0_20"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-01-01T00:00:00Z"}}, {"id": "10.1007/s13593-011-0054-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:49Z", "type": "Journal Article", "created": "2011-10-06", "title": "High Retention Of N P Nutrients, Soil Organic Carbon, And Fine Particles By Cover Crops Under Tropical Climate", "description": "Soil and water conservation is a major challenge for the development of sustainable agriculture. Leaching and runoff of soil nutrients and fine particles negatively impact soil fertility, soil quality, and contribute to surface water eutrophication and sediment accumulation. Such issues are especially critical in a tropical or subtropical region, such as in south Florida with high rainfall and shallow aquifer. So far, little is known about soil particle and nutrient retention by cover cropping under contrasting rainfall intensity. Here, a pot experiment was conducted with four cover crops and two simulated rainfall rates, a low rate of 5.8\u00a0mm\u00a0day\u22121 and a high rate of 11.6\u00a0mm\u00a0day\u22121, to study the transport of N, P, and fine soil particles down the soil profile. The cover crops were sunn hemp, velvetbean, cowpea, and sorghum sudangrass in contrast to weedy fallow as a control. Results show that under low rainfall rate, total N in leachates of 0.5\u20131.9\u00a0kg\u00a0ha\u22121 for cover crops was much lower than 10.2\u00a0kg\u00a0ha\u22121 for fallow. Under high rainfall rate, total N in leachates ranged from 3.4 to 16.1\u00a0kg\u00a0ha\u22121 for cover crops and 8.8\u00a0kg\u00a0ha\u22121 for fallow. Cover cropping with sunn hemp was the most effective at retaining soil nutrients because of its large plant biomass production. Indeed sunn hemp biomass accumulated 376 and 247\u00a0kg\u00a0N ha\u22121 and 27 and 22\u00a0kg\u00a0P\u2009ha\u22121 under high and low rainfall rates. We also found that soil organic carbon associated with fine soil particles in the root zone under sunn hemp and sorghum sudangrass was 5\u20137% greater than soil organic carbon in fallow. This study demonstrates that growing sunn hemp and sorghum sudangrass cover crops can conserve soil fine particles and nutrients against leaching and reduce adverse impacts on surface water.", "keywords": ["2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s13593-011-0054-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy%20for%20Sustainable%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13593-011-0054-9", "name": "item", "description": "10.1007/s13593-011-0054-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13593-011-0054-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-10-07T00:00:00Z"}}, {"id": "10.1007/s13593-011-0056-7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:49Z", "type": "Journal Article", "created": "2011-10-18", "title": "Legumes For Mitigation Of Climate Change And The Provision Of Feedstock For Biofuels And Biorefineries. A Review", "description": "Humans are currently confronted by many global challenges. These include achieving food security for a rapidly expanding population, lowering the risk of climate change by reducing the net release of greenhouse gases into the atmosphere due to human activity, and meeting the increasing demand for energy in the face of dwindling reserves of fossil energy and uncertainties about future reliability of supply. Legumes deliver several important services to societies. They provide important sources of oil, fiber, and protein-rich food and feed while supplying nitrogen (N) to agro-ecosystems via their unique ability to fix atmospheric N2 in symbiosis with the soil bacteria rhizobia, increasing soil carbon content, and stimulating the productivity of the crops that follow. However, the role of legumes has rarely been considered in the context of their potential to contribute to the mitigation of climate change by reducing fossil fuel use or by providing feedstock for the emerging biobased economies where fossil sources of energy and industrial raw materials are replaced in part by sustainable and renewable biomass resources. The aim of this review was to collate the current knowledge regarding the capacity of legumes to (1) lower the emissions of the key greenhouse gases carbon dioxide (CO2) and nitrous oxide (N2O) compared to N-fertilized systems, (2) reduce the fossil energy used in the production of food and forage, (3) contribute to the sequestration of carbon (C) in soils, and (4) provide a viable source of biomass for the generation of biofuels and other materials in future biorefinery concepts. We estimated that globally between 350 and 500\u00a0Tg\u00a0CO2 could be emitted as a result of the 33 to 46\u00a0Tg\u00a0N that is biologically fixed by agricultural legumes each year. This compares to around 300\u00a0Tg\u00a0CO2 released annually from the manufacture of 100\u00a0Tg fertilizer N. The main difference is that the CO2 respired from the nodulated roots of N2-fixing legumes originated from photosynthesis and will not represent a net contribution to atmospheric concentrations of CO2, whereas the CO2 generated during the synthesis of N fertilizer was derived from fossil fuels. Experimental measures of total N2O fluxes from legumes and N-fertilized systems were found to vary enormously (0.03\u20137.09 and 0.09\u201318.16\u00a0kg\u00a0N2O\u2013N\u00a0ha\u22121, respectively). This reflected the data being collated from a diverse range of studies using different rates of N inputs, as well as the large number of climatic, soil, and management variables known to influence denitrification and the portion of the total N lost as N2O. Averages across 71 site-years of data, soils under legumes emitted a total of 1.29\u00a0kg\u00a0N2O\u2013N\u00a0ha\u22121 during a growing season. This compared to a mean of 3.22\u00a0kg\u00a0N2O\u2013N\u00a0ha\u22121 from 67 site-years of N-fertilized crops and pastures, and 1.20\u00a0kg\u00a0N2O\u2013N\u00a0ha\u22121 from 33 site-years of data collected from unplanted soils or unfertilized non-legumes. It was concluded that there was little evidence that biological N2 fixation substantially contributed to total N2O emissions, and that losses of N2O from legume soil were generally lower than N-fertilized systems, especially when commercial rates of N fertilizer were applied. Elevated rates of N2O losses can occur following the termination of legume-based pastures, or where legumes had been green- or brown-manured and there was a rapid build-up of high concentrations of nitrate in soil. Legume crops and legume-based pastures use 35% to 60% less fossil energy than N-fertilized cereals or grasslands, and the inclusion of legumes in cropping sequences reduced the average annual energy usage over a rotation by 12% to 34%. The reduced energy use was primarily due to the removal of the need to apply N fertilizer and the subsequently lower N fertilizer requirements for crops grown following legumes. Life cycle energy balances of legume-based rotations were also assisted by a lower use of agrichemicals for crop protection as diversification of cropping sequences reduce the incidence of cereal pathogens and pests and assisted weed control, although it was noted that differences in fossil energy use between legumes and N-fertilized systems were greatly diminished if energy use was expressed per unit of biomass or grain produced. For a change in land use to result in a net increase C sequestration in soil, the inputs of C remaining in plant residues need to exceed the CO2 respired by soil microbes during the decomposition of plant residues or soil organic C, and the C lost through wind or water erosion. The net N-balance of the system was a key driver of changes in soil C stocks in many environments, and data collected from pasture, cropping, and agroforestry systems all indicated that legumes played a pivotal role in providing the additional organic N required to encourage the accumulation of soil C at rates greater than can be achieved by cereals or grasses even when they were supplied with N fertilizer. Legumes contain a range of compounds, which could be refined to produce raw industrial materials currently manufactured from petroleum-based sources, pharmaceuticals, surfactants, or food additives as valuable by-products if legume biomass was to be used to generate biodiesel, bioethanol, biojet A1 fuel, or biogas. The attraction of using leguminous material feedstock is that they do not need the inputs of N fertilizer that would otherwise be necessary to support the production of high grain yields or large amounts of plant biomass since it is the high fossil energy use in the synthesis, transport, and application of N fertilizers that often negates much of the net C benefits of many other bioenergy sources. The use of legume biomass for biorefineries needs careful thought as there will be significant trade-offs with the current role of legumes in contributing to the organic fertility of soils. Agricultural systems will require novel management and plant breeding solutions to provide the range of options that will be required to mitigate climate change. Given their array of ecosystem services and their ability to reduce greenhouse gas emissions, lower the use of fossil energy, accelerate rates of C sequestration in soil, and provide a valuable source of feedstock for biorefineries, legumes should be considered as important components in the development of future agroecosystems.", "keywords": ["Carbon sequestration", "2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "571", "04 agricultural and veterinary sciences", "15. Life on land", "Legumes", "Air and water emissions", "Greenhouses and coverings", "7. Clean energy", "Biorefinery", "12. Responsible consumption", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "Greenhouse gases", "2305 Environmental Engineering", "13. Climate action", "Biological N2 fixation", "Biofuels", "11. Sustainability", "Farm nutrient management", "0401 agriculture", " forestry", " and fisheries", "Recycling", " balancing and resource management", "1102 Agronomy and Crop Science"]}, "links": [{"href": "https://doi.org/10.1007/s13593-011-0056-7"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy%20for%20Sustainable%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13593-011-0056-7", "name": "item", "description": "10.1007/s13593-011-0056-7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13593-011-0056-7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-10-19T00:00:00Z"}}, {"id": "10.1007/s13593-011-0079-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:49Z", "type": "Journal Article", "created": "2012-01-10", "title": "Fifteen Years Of No Till Increase Soil Organic Matter, Microbial Biomass And Arthropod Diversity In Cover Crop-Based Arable Cropping Systems", "description": "The physical, chemical and biological properties of soil may be modified by tillage, fertilization and cover crops. However there is little knowledge on long-term effects on soil properties, notably under Mediterranean climate. Moreover, biological indicators such as micro-arthropods can be used for a cost-effective analysis of soil biodiversity. Here, we studied physical and biological properties of a sandy loam soil in central Italy under a 4-year rotation of maize\u2013durum wheat\u2013cover crop\u2013sunflower\u2013durum wheat\u2013cover crop during 15\u00a0years. We analysed the effects of two tillage systems, conventional tillage (CT) and no-tillage (NT); two N fertilization rates, without N and medium N level; and three soil covers: cash crop residue as control, Brassica juncea and Vicia villosa. Results show that no tillage increased soil organic matter content in the upper 10-cm layer (3.31%) compared to the conventional tillage (2.19%). No tillage also improved structure stability and lowered bulk density in the same soil profile. No-tillage systems showed higher soil microbial biomass (+71%) and respiration (+44%), and a higher abundance and diversity of micro-arthropods. We conclude that no tillage is an effective measure to improve the physical and biological quality of soil in Mediterranean conditions. No-tillage positive effect can be enhanced by the right choice of N fertilization and cover crop cultivation. Bio-indicators such as micro-arthropods can be very predictive of soil habitability by organisms.", "keywords": ["2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "13. Climate action", "Aggregate stability", " Micro-arthropod diversity", " Microbial biomass carbon", " Soil biological quality", " Soil organic matter", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://www.iris.sssup.it/bitstream/11382/338182/2/Sapkota%20et%20al.%20%282012%29_ASDE.pdf"}, {"href": "https://doi.org/10.1007/s13593-011-0079-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy%20for%20Sustainable%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13593-011-0079-0", "name": "item", "description": "10.1007/s13593-011-0079-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13593-011-0079-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-01-11T00:00:00Z"}}, {"id": "10.1007/s13593-012-0110-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:49Z", "type": "Journal Article", "created": "2012-09-04", "title": "Agriculture And Greenhouse Gases, A Common Tragedy. A Review", "description": "Increased atmospheric concentrations of greenhouse gases has led to global warming and associated climatic changes. The problem has been aggravated by the perception that the atmosphere is an infinite and toll-free resource. The well-known concept proposed by Garrett Hardin\u2014\u201cThe Tragedy of the Commons\u201d\u2014highlights the misuse of common resources, which ultimately lead to their depletion. This article emphasizes the relevance of the same concept to the current climatic changes and highlights the impact of agriculture on the environment. The specific focus is on field crop production and livestock husbandry that have resulted in deteriorating environmental services and increased greenhouse gas emissions. Meanwhile, the total amount of energy consumed by these sectors is enormous, encompassing 11\u00a0exajoules (EJ) annually. In addition, the article highlights possible impacts of climate change on agricultural productivity. Considering the foreseen growth of the global human population, it is expected that additional pressures will aggravate natural environments. Adoption of recommended management practices is crucial to reverse the environmental footprint of agriculture and lessen its impact on climate change. Regarding croplands, these practices can include reduced tillage systems, crop residue management, improved management of nutrients and pests, cover cropping, agroforestry, biochar application as soil amendment, and utilization of precision agriculture technologies. In the livestock sector, recommended management practices include changes in animals\u2019 diet and appropriate management of manure. Adoption of these practices is also expected to decrease the on-farm and off-farm energy use. To encourage the adoption of these practices, authorities should provide the farmers with incentives, such as payments for improving environmental services. Also, international regulations must be enforced to instigate a notable shift in human diets with the goal of reducing the environmental impact of food production. Judicious implementation of related policies would be crucial for promoting the required links between agricultural production and environmental sustainability.", "keywords": ["2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "Livestock raising", "Tillage operations", "1. No poverty", "Biofuel cropping", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "12. Responsible consumption", "Energy use", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "13. Climate action", "Fertilizer use", "Environmental services", "11. Sustainability", "Climate change", "0401 agriculture", " forestry", " and fisheries"], "contacts": [{"organization": "Rattan Lal, Ilan Stavi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s13593-012-0110-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy%20for%20Sustainable%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13593-012-0110-0", "name": "item", "description": "10.1007/s13593-012-0110-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13593-012-0110-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-09-05T00:00:00Z"}}, {"id": "10.1007/s13593-012-0114-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:49Z", "type": "Journal Article", "created": "2012-10-02", "title": "Biofuel From Plant Biomass", "description": "Abstract           <p>Plant biomass can be used for multiple forms of bioenergy, and there is a very large potential supply, depending on which global assessment is most accurate in terms of land area that could be available for biomass production. The most suitable plant species must be identified before the potential biomass production in a particular region can be quantified. This in turn depends on the degree of climatic adaptation by those species. In the range of climates present in New Zealand, biomass crop growth has less restriction due to water deficit or low winter temperature than in most world regions. Biomass production for energy use in New Zealand would be best utilised as transport fuel since 70\uffc2\uffa0% of the country\uffe2\uff80\uff99s electricity generation is already renewable, but nearly all of its transport fossil fuel is imported. There is a good economic development case for transport biofuel production using waste streams and biomass crops. This review identified the most suitable crop species and assessed their production potential for use within the climatic range present in New Zealand. Information from published work was used as a basis for selecting appropriate crops in a 2-year selection and evaluation process. Where there were knowledge gaps, the location-specific selections were further evaluated by field measurements. The data presented have superseded much of the speculative information on the suitability of species for the potential development of a biofuel industry in New Zealand.</p>", "keywords": ["0106 biological sciences", "2. Zero hunger", "Biomass crops", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "Environmental Engineering", "High dry mass yield", "LCA", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "7. Clean energy", "Energy crops", "Perennials", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "Greenhouse gases", "13. Climate action", "Biofuels", "0401 agriculture", " forestry", " and fisheries", "Agronomy and Crop Science", "Land use change", "Bioenergy potential"], "contacts": [{"organization": "Huub Kerckhoffs, Richard Renquist,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s13593-012-0114-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy%20for%20Sustainable%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13593-012-0114-9", "name": "item", "description": "10.1007/s13593-012-0114-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13593-012-0114-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-10-03T00:00:00Z"}}, {"id": "10.1007/s13593-012-0128-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:49Z", "type": "Journal Article", "created": "2013-01-28", "title": "Enhanced Wheat Yield By Biochar Addition Under Different Mineral Fertilization Levels", "description": "Climate change and global warming have worldwide adverse consequences. Biochar production and its use in agriculture can play a key role in climate change mitigation and help improve the quality and management of waste materials coming from agriculture and forestry. Biochar is a carbonaceous material obtained from thermal decomposition of residual biomass at relatively low temperature and under oxygen limited conditions (pyrolysis). Biochar is currently a subject of active research worldwide because it can constitute a viable option for sustainable agriculture due to its potential as a long-term sink for carbon in soil and benefits for crops. However, to date, the results of research studies on biochar effects on crop production show great variability, depending on the biochar type and experimental conditions. Therefore, it is important to identify the beneficial aspects of biochar addition to soil on crop yield in order to promote the adoption of this practice in agriculture. In this study, the effects of two types of biochar from agricultural wastes typical of Southern Spain: wheat straw and olive tree pruning, combined with different mineral fertilization levels on the growth and yield of wheat (Triticum durum L. cv. Vitron) were evaluated. Durum wheat was pot-grown for 2 months in a growth chamber on a soil collected from an agricultural field near C\u00f3rdoba, Southern Spain. Soil properties and plant growth variables were studied in order to assess the agronomic efficiency of biochar. Our results show that biochar addition to a nutrientpoor, slightly acidic loamy sand soil had little effect on wheat yield in the absence of mineral fertilization. However, at the highest mineral fertilizer rate, addition of biochar led to about 20\u201330 % increase in grain yield compared with the use of the mineral fertilizer alone. Both biochars acted as a source of available P, which led to beneficial effects on crop production. In contrast, the addition of biochar resulted in decreases in available N and Mn. A maximum reduction in plant nutrient concentration of 25 and 80% compared to nonbiochar-treated soils for N and Mn, respectively, was detected. This fact was related to the own nature of biochar: low available nitrogen content, high adsorption capacity, and low mineralization rate for N; and alkaline pH and high carbonate content for Mn. Our results indicate that biochar-based soil management strategies can enhance wheat production with the environmental benefits of global warming mitigation. This can contribute positively to the viability and benefits of agricultural production systems. However, the nutrient\u2013biochar interactions should receive special attention due to the great variability in the properties of biochar-type materials.", "keywords": ["2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "Environmental Engineering", "Nitrogen", "Agricultural wastes", "Phosphorus", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "12. Responsible consumption", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "Biochar", "Phosporus", "13. Climate action", "Wheat", "0401 agriculture", " forestry", " and fisheries", "Grain yield", "Agronomy and Crop Science", "Plant growth", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s13593-012-0128-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy%20for%20Sustainable%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13593-012-0128-3", "name": "item", "description": "10.1007/s13593-012-0128-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13593-012-0128-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-29T00:00:00Z"}}, {"id": "10.1007/s13593-013-0173-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:49Z", "type": "Journal Article", "created": "2013-08-15", "title": "Winter Legumes In Rice Crop Rotations Reduces Nitrogen Loss, And Improves Rice Yield And Soil Nitrogen Supply", "description": "Intensive irrigated rice-wheat crop systems have caused serious soil depletion and nitrogen loss in the Tai Lake region of China. A possible solution is the incorporation of legumes in rice because legumes are a source of nitrogen. There is actually little knowledge on the impact of legumes on rotation, soil fertility, and nitrogen loss. Therefore, we studied the effect of five rice-based rotations, including rice-wheat, rice-rape, rice-fallow, rice-bean, and rice-vetch, on soil nitrogen, rice yield, and runoff loss. A field experiment was conducted in the Tai Lake region from 2009 to 2012. Crop residues from rape, bean, and vetch were used to partially replace chemical fertilizer in rice. Results show that replacing 9.5\u201321.4\u00a0% of mineral nitrogen fertilizer by residues maintained rice yields of rice-rape, rice-bean, and rice-vetch rotations, compared to the rice-wheat reference. Moreover, using legumes as a winter crop in rice-bean and rice-vetch combinations increased rice grain yield over 5\u00a0%, and increased rice residue nitrogen content by 9.7\u201320.5\u00a0%. Nitrogen runoff decreased 30\u201360\u00a0% in rice-rape, rice-bean, and rice-vetch compared with rice-wheat. Soil mineral nitrogen and microbial biomass nitrogen content were also improved by application of leguminous residues.", "keywords": ["2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "Runoff nitrogen loss", "04 agricultural and veterinary sciences", "15. Life on land", "Non-point pollution", "Crop rotations", "Legumes", "16. Peace & justice", "6. Clean water", "Soil nitrogen supply capacity", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Chemical nitrogen fertilizer reduction", "Rice yield"], "contacts": [{"organization": "Yingliang Yu, Lihong Xue, Linzhang Yang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s13593-013-0173-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy%20for%20Sustainable%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13593-013-0173-6", "name": "item", "description": "10.1007/s13593-013-0173-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13593-013-0173-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-08-16T00:00:00Z"}}, {"id": "10.1007/s13595-011-0100-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:49Z", "type": "Journal Article", "created": "2011-07-05", "title": "Effect Of Freezing-Thawing On Nitrogen Mineralization In Vegetation Soils Of Four Landscape Zones Of Changbai Mountain", "description": "We studied the effect of freezing-thawing on nitrogen (N) mineralization of four vegetation soils from typical vegetation zones of Changbai Mountain with a laboratory incubation experiment. The soils were treated with two levels of soil water content, representing the low and high soil water contents found during late autumn and early spring in Changbai Mountain, respectively, and underwent cycling of freezing at \u22125 or \u221225\u00b0C and thawing at 5\u00b0C up to 15 times. The main purpose of this study was to examine the effects of freezing temperature, frequency of freezing-thawing cycles, and soil water content on N mineralization of four soils to reveal the different effects of spring and autumn freezing-thawing on soil N mineralization in Changbai Mountain. The results showed that inorganic N in the soils increased 1.67\u201326.77 times after 15 cycles of freezing-thawing, but N mineralization rate decreased with increased cycling of freezing-thawing. The lower freeze temperature and higher soil water content generally enhanced soil N mineralization. The results implied that freezing-thawing of vegetation soils to increase soil N mineralization to favor the growth of plants, and also increase the possibility of runoff loss of soil nutrients, is more effective in the spring than in the autumn.", "keywords": ["0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture", " forestry", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Jie Tian, Yujing Ye, Guowei Li, Li Zhou, Wangming Zhou, Limin Dai, Hua Chen, Bernard J. Lewis,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s13595-011-0100-4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Annals%20of%20Forest%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13595-011-0100-4", "name": "item", "description": "10.1007/s13595-011-0100-4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13595-011-0100-4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-07-06T00:00:00Z"}}, {"id": "10.1007/s13595-011-0125-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:49Z", "type": "Journal Article", "created": "2011-08-29", "title": "Effects Of Thinning Intensity On Radial Growth Patterns And Temperature Sensitivity In Pinus Canariensis Afforestations On Tenerife Island, Spain", "description": "Open Access\u2022Context The suitability of thinning to prevent forest growth decline as a result of global warming has not been tested extensively in Macaronesian Canary pine (Pinus canariensis Sweet ex Spreng.). \u2022 Aims This study aimed to answer the following questions: (1) are tree growth patterns modified by the aspect and thinning intensity? (2) Is sensitivity to climate modulated by thinning? (3) Do trees of different crown classes respond differentially to thinning intensity and climate? \u2022Methods We used tree-ring series from dominant, codominant, and overtopped trees to study the effects of thinning intensity on basal area increments (BAI) and climate sensitivity on windward (wet) and leeward (dry) slopes on Tenerife, Canary Islands. Three replicated blocks of control, light thinning, and heavy thinning stands were set on each slope in 1988, and cores were extracted in 2007. \u2022 Results Heavy thinning induced growth release and increased BAI, mainly on dominant and codominant trees, whereas light thinning effects were negligible; their impacts were more intense on the windward side. Temperature sensitivity was hardly affected by thinning on leeward, where climate control was stronger. On windward, thinning enhanced the influence of summer temperatures. Upper crown classes were more sensitive overall, but overtopped trees responded better in summer. Thinning intensity and aspect greatly influence growth on Canary pine afforestations, but individual responses are highly dependent on crown classes. In addition, thinning may be less effective to modify growth conditions on leeward slopes, at least if not intense. \u00a9 INRA and Springer Science+Business Media B.V. 2011.", "keywords": ["0106 biological sciences", ":Investigaci\u00f3n::24 Ciencias de la vida::2417 Biolog\u00eda vegetal (bot\u00e1nica)::241713 Ecolog\u00eda vegetal [Materias]", "Forest restoration", "Climate-growth relationships", "Growth release", "15. Life on land", "01 natural sciences", "Dendroecology", ":Investigaci\u00f3n::31 Ciencias agrarias::3106 Ciencia forestal::310608 Silvicultura [Materias]", "13. Climate action", "Materias::Investigaci\u00f3n::31 Ciencias agrarias::3106 Ciencia forestal::310608 Silvicultura", "Materias::Investigaci\u00f3n::24 Ciencias de la vida::2417 Biolog\u00eda vegetal (bot\u00e1nica)::241713 Ecolog\u00eda vegetal", "[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture", " forestry", "Tree ring"]}, "links": [{"href": "https://doi.org/10.1007/s13595-011-0125-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Annals%20of%20Forest%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13595-011-0125-8", "name": "item", "description": "10.1007/s13595-011-0125-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13595-011-0125-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-08-30T00:00:00Z"}}, {"id": "10.1007/s13595-013-0294-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:49Z", "type": "Journal Article", "created": "2013-05-15", "title": "Responses Of Labile Soil Organic Carbon And Enzyme Activity In Mineral Soils To Forest Conversion In The Subtropics", "description": "& Aims Globally, extensive areas of native forest have been almost replaced by plantations to meet the demands for timber, fuel material and other forest products. This study aimed to evaluate the effects of forest conversion on labile soil organic C (SOC), soil respiration, and enzyme activity, and to quantify their relationship in subtropical forest ecosystems. & Methods Surface mineral soil (0\u201320 cm) was collected from a Cunninghamia lanceolata Hook. plantation, Pinus massoniana Lamb. plantation, Michelia macclurei Dandy plantation, and an undisturbed native broadleaf forest. Soil microbial biomass C, dissolved organic C, permanganateoxidizable C, basal respiration, and six enzyme activities were investigated. & Results Soil microbial biomass C was higher by 45.9 % in native broadleaf forest than that in M. macclurei Dandy plantation. The ratio of soil microbial biomass C to total SOC was 27.6 % higher in the M. macclurei Dandy plantation than in the native broadleaf forest. The soil respiration increased by 25.2 %a nd 21.7 %a fter conversion from native broadleaf forest to P. massoniana Lamb. and M. macclurei Dandy plantations respectively. The effects of forest conversion on the soil enzyme activities differed among the tree species. Soil microbial biomass C had higher correlation with soil respiration than with the other SOC fractions. Moreover, soil microbial biomass C was positively correlated with urease and negatively correlated with cellulase activity. Soil respiration had higher correlation with soil microbial biomass C, dissolved organic C and permanganate-oxidizable C. & Conclusion Forest conversion affected the soil microbial biomass C, soil respiration, invertase, cellulase, urease, catalase, acid phosphatase, and polyphenol oxidase activities, but their response depended on tree species. Soil respiration was mainly controlled by labile SOC, not by total SOC.", "keywords": ["2. Zero hunger", "Soil enzyme", "13. Climate action", "Land-use change", "0401 agriculture", " forestry", " and fisheries", "Soil respiration", "04 agricultural and veterinary sciences", "Labile soil organic C", "[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture", " forestry", "15. Life on land", "Tree species"], "contacts": [{"organization": "Silong Wang, Fuming Xiao, Tongxin He, Qingkui Wang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s13595-013-0294-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Annals%20of%20Forest%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13595-013-0294-8", "name": "item", "description": "10.1007/s13595-013-0294-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13595-013-0294-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-05-16T00:00:00Z"}}, {"id": "10.1002/fsn3.1675", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:36Z", "type": "Journal Article", "created": "2020-07-15", "title": "Valorization of the green waste parts from sweet potato ( Impoea batatas L.): Nutritional, phytochemical composition, and bioactivity evaluation", "description": "Abstract<p>In the present study, leaves from 13 sweet potato cultivars were collected as raw materials. The nutritional and functional composition, antioxidant activity, and sunscreen activity of different sweet potato leaf samples were determined, and the comprehensive nutritional quality was calculated by gray relational analysis. Results showed that the nutritional and functional components are significantly different between different cultivars. Tainong71 showed the highest comprehensive nutritional quality, followed by Fu22, Ningcai, Fu23, Ecai10, Zhecai726, Ecai1, Fu18, Pushu53, Guangcai5, Shulv1, Guangcai2, and Zhecai1. The antioxidant activity varied from 3.94 to 16.75\uffc2\uffa0g Trolox equivalent/100\uffc2\uffa0g dry weight. Pushu53 showed the highest sunscreen activity, with the sun protection factor 24.65. There was a positive correlation between antioxidant activity and sunscreen activity (r\uffc2\uffa0=\uffc2\uffa0.737, p\uffc2\uffa0=\uffc2\uffa0.004). In conclusion, sweet potato leaves possess high nutritional and functional properties, and have the huge potential to be used as green leafy vegetables and sunscreen agent.</p>", "keywords": ["2. Zero hunger", "0404 agricultural biotechnology", "chemical/nutritional characterization ; antioxidant activity ; correlation analysis ; sunscreen acitvity ; gray relational analysis ; sweet potato leaves", "04 agricultural and veterinary sciences", "0405 other agricultural sciences", "Original Research"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/fsn3.1675"}, {"href": "https://doi.org/10.1002/fsn3.1675"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Food%20Science%20%26amp%3B%20Nutrition", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/fsn3.1675", "name": "item", "description": "10.1002/fsn3.1675", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/fsn3.1675"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-14T00:00:00Z"}}, {"id": "10.1002/jsfa.4207", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:40Z", "type": "Journal Article", "created": "2010-10-27", "title": "Algal Biorefinery-Based Industry: An Approach To Address Fuel And Food Insecurity For A Carbon-Smart World", "description": "Food and fuel production are intricately interconnected. In a carbon-smart society, it is imperative to produce both food and fuel sustainably. Integration of the emerging biorefinery concept with other industries can bring many environmental deliverables while mitigating several sustainability-related issues with respect to greenhouse gas emissions, fossil fuel usage, land use change for fuel production and future food insufficiency. A new biorefinery-based integrated industrial ecology encompasses the different value chain of products, coproducts, and services from the biorefinery industries. This paper discusses a framework to integrate the algal biofuel-based biorefinery, a booming biofuel sector, with other industries such as livestock, lignocellulosic and aquaculture. Using the USA as an example, this paper also illustrates the benefits associated with sustainable production of fuel and food. Policy and regulatory initiatives for synergistic development of the algal biofuel sector with other industries can bring many sustainable solutions for the future existence of mankind.", "keywords": ["2. Zero hunger", "0301 basic medicine", "Conservation of Natural Resources", "0303 health sciences", "9. Industry and infrastructure", "0402 animal and dairy science", "Agriculture", "04 agricultural and veterinary sciences", "Aquaculture", "15. Life on land", "7. Clean energy", "Food Supply", "12. Responsible consumption", "03 medical and health sciences", "Chlorophyta", "13. Climate action", "Biofuels", "11. Sustainability", "Animal Husbandry", "0405 other agricultural sciences"], "contacts": [{"organization": "Grinson-George, Bobban Subhadra,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1002/jsfa.4207"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20the%20Science%20of%20Food%20and%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/jsfa.4207", "name": "item", "description": "10.1002/jsfa.4207", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/jsfa.4207"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-10-27T00:00:00Z"}}, {"id": "10.1002/jsfa.4533", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:40Z", "type": "Journal Article", "created": "2011-07-27", "title": "Influence Of Fertilisation Regimes On A Nosz-Containing Denitrifying Community In A Rice Paddy Soil", "description": "Abstract<p>BACKGROUND: Denitrification is a microbial process that has received considerable attention during the past decade since it can result in losses of added nitrogen fertilisers from agricultural soils. Paddy soil has been known to have strong denitrifying activity, but the denitrifying microorganisms responsible for fertilisers in paddy soil are not well known. The objective of this study was to explore the impacts of 17\uffe2\uff80\uff90year application of inorganic and organic fertiliser (rice straw) on the abundance and composition of a nosZ\uffe2\uff80\uff90denitrifier community in paddy soil. Soil samples were collected from CK plots (no fertiliser), N (nitrogen fertiliser), NPK (nitrogen, phosphorus and potassium fertilisers) and NPK + OM (NPK plus organic matter). The nitrous oxide reductase gene (nosZ) community composition was analysed using terminal restriction fragment length polymorphism, and the abundance was determined by quantitative PCR.</p><p>RESULTS: Both the largest abundance of nosZ\uffe2\uff80\uff90denitrifier and the highest potential denitrifying activity (PDA) occurred in the NPK + OM treatment with about four times higher than that in the CK and two times higher than that in the N and NPK treatments (no significant difference). Denitrifying community composition differed significantly among fertilisation treatments except for the comparison between CK and N treatments. Of the measured abiotic factors, total organic carbon was significantly correlated with the observed differences in community composition and abundance (P &lt; 0.01 by Monte Carlo permutation).</p><p>CONCLUSION: This study shows that the addition of different fertilisers affects the size and composition of the nosZ\uffe2\uff80\uff90denitrifier community in paddy soil. Copyright \uffc2\uffa9 2011 Society of Chemical Industry</p>", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "Bacteria", "Nitrogen", "0402 animal and dairy science", "Agriculture", "Oryza", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Carbon", "Soil", "03 medical and health sciences", "Genes", " Bacterial", "Denitrification", "0405 other agricultural sciences", "Fertilizers", "Oxidoreductases", "Monte Carlo Method", "Polymorphism", " Restriction Fragment Length", "Soil Microbiology"]}, "links": [{"href": "https://doi.org/10.1002/jsfa.4533"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20the%20Science%20of%20Food%20and%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/jsfa.4533", "name": "item", "description": "10.1002/jsfa.4533", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/jsfa.4533"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-07-27T00:00:00Z"}}, {"id": "10.1002/jsfa.7207", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:40Z", "type": "Journal Article", "created": "2015-04-10", "title": "Mineralization dynamics in soil fertilized with seaweed-fish waste compost", "description": "Seaweed and fish waste can be composted together to obtain fertilizer with high organic matter and nutrient contents. The nutrients, however, are mostly in organic form and must be mineralized to make them available to plants. The objective of this work was to establish a usage guideline for the compost by studying its mineralization dynamics. Also, the release of inorganic N and C from soil fertilized with the compost was monitored and modelled.C and N were released throughout the assay, to an extent significantly dependent on fertilizer rate. Mineralization of both elements fitted a first-order exponential model, and each fertilizer rate required using a specific fitting model. An increased rate favoured mineralization (especially of carbon). After 90 days, 2.3% of C and 7.7% of N were mineralized (and 23.3% of total nitrogen made plant available) with the higher rate.C mineralization was slow because organic matter in the compost was very stable. On the other hand, the relatively high initial content in mineral N of the compost increased gradually by the effect of mineralization. The amount of N available would suffice to meet the requirements of moderately demanding crops at the lower fertilizer rate, and even those of more demanding crops at the higher rate.", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "Minerals", "Nitrogen", "0402 animal and dairy science", "Fishes", "Agriculture", "04 agricultural and veterinary sciences", "Seaweed", "Carbon", "Refuse Disposal", "Soil", "13. Climate action", "8. Economic growth", "Animals", "0401 agriculture", " forestry", " and fisheries", "0405 other agricultural sciences", "Fertilizers"]}, "links": [{"href": "http://onlinelibrary.wiley.com/wol1/doi/10.1002/jsfa.7207/fullpdf"}, {"href": "https://doi.org/10.1002/jsfa.7207"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20the%20Science%20of%20Food%20and%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/jsfa.7207", "name": "item", "description": "10.1002/jsfa.7207", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/jsfa.7207"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-05-22T00:00:00Z"}}, {"id": "10.1002/jsfa.7325", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:40Z", "type": "Journal Article", "created": "2015-06-30", "title": "Espresso coffee residues as a nitrogen amendment for small-scale vegetable production", "description": "Espresso coffee grounds constitute a residue which is produced daily in considerable amounts, and is often pointed out as being potentially interesting for plant nutrition. Two experiments (incubations and field experiments) were carried out to evaluate the potential nitrogen (N) and phosphorus (P) supply for carrot (Daucus carota L.), spinach (Spinacea oleracea L.) and lettuce (Lactuca sativa L.) nutrition.Immobilisation of nitrogen and phosphorus was detected in all the incubations and, in the field experiments, germination and yield growth were decreased by the presence of espresso coffee grounds, in general for all the species studied.The study showed an inhibition of N and P mineralisation and a reduction of plant germination and growth. Further research is required to determine whether this is related to the immobilising capacity of the residue or possibly due to the presence of caffeine.", "keywords": ["2. Zero hunger", "Minerals", "Nitrogen", "Plant Extracts", "0402 animal and dairy science", "Agriculture", "Coffea", "Germination", "Phosphorus", "04 agricultural and veterinary sciences", "Coffee", "01 natural sciences", "Daucus carota", "Soil", "Spinacia oleracea", "Caffeine", "Vegetables", "Humans", "0401 agriculture", " forestry", " and fisheries", "Biomass", "0405 other agricultural sciences", "Fertilizers", "Lactuca", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://onlinelibrary.wiley.com/wol1/doi/10.1002/jsfa.7325/fullpdf"}, {"href": "https://doi.org/10.1002/jsfa.7325"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20the%20Science%20of%20Food%20and%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/jsfa.7325", "name": "item", "description": "10.1002/jsfa.7325", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/jsfa.7325"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-07-28T00:00:00Z"}}, {"id": "10.1002/jsfa.5647", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:40Z", "type": "Journal Article", "created": "2012-03-19", "title": "Influence Of Rootstock On Drought Response In Young \u2018Gale Gala\u2019 Apple (Malus Domestica Borkh.) Trees", "description": "Abstract<p>BACKGROUND: Drought is a major environmental stress limiting plant growth, productivity, and survival worldwide. Rootstocks are widely used to enhance plants resistance to drought stresses. This study determined influence of rootstock on drought responses in 1\uffe2\uff80\uff90year\uffe2\uff80\uff90old \uffe2\uff80\uff98Gale Gala\uffe2\uff80\uff99 apple trees grafted onto Malus sieversii or M. hupehensis.</p><p>RESULTS: Choice of rootstock resulted in differential response to drought stress. Specifically, M. sieversii caused less drought\uffe2\uff80\uff90induced reduction in relative growth rate, biomass accumulation, leaf area, leaf chlorophyll content, relative water content, photosynthesis rate and maximum chlorophyll fluorescence yield but greater increase in whole\uffe2\uff80\uff90plant water use efficiency compared to M. hupehensis. Secondly, compared with M. hupehensis, M. sieversii caused less drought\uffe2\uff80\uff90induced accumulation of reactive oxygen species but more increase in activities of antioxidant enzymes. In addition, xylem sap abscisic acid concentration was greater in trees grafted onto M. hupehensis than in those grafted onto M. sieversii under drought stress.</p><p>CONCLUSION: \uffe2\uff80\uff98Gale Gala\uffe2\uff80\uff99 trees' response to drought stress was associated with the rootstock's genotype onto which it was grafted. Trees with M. sieversii as rootstock are more drought resistant than trees with M. hupehensis as rootstock, which suggests that M. sieversii can be widely used as rootstock in arid and semi\uffe2\uff80\uff90arid regions. Copyright \uffc2\uffa9 2012 Society of Chemical Industry</p>", "keywords": ["Chlorophyll", "0301 basic medicine", "Plant Roots", "Antioxidants", "Fluorescence", "Trees", "03 medical and health sciences", "Species Specificity", "Stress", " Physiological", "Xylem", "Biomass", "Photosynthesis", "2. Zero hunger", "0402 animal and dairy science", "Water", "04 agricultural and veterinary sciences", "15. Life on land", "Adaptation", " Physiological", "6. Clean water", "Droughts", "Plant Leaves", "Malus", "0401 agriculture", " forestry", " and fisheries", "0405 other agricultural sciences", "Reactive Oxygen Species", "Abscisic Acid"], "contacts": [{"organization": "Binghua Liu, Fengwang Ma, Dong Liang, Yangjun Zou, Liang Cheng,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1002/jsfa.5647"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20the%20Science%20of%20Food%20and%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/jsfa.5647", "name": "item", "description": "10.1002/jsfa.5647", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/jsfa.5647"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-03-19T00:00:00Z"}}, {"id": "10.1002/jsfa.6206", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:40Z", "type": "Journal Article", "created": "2013-05-01", "title": "Effect Of Organic, Conventional And Mixed Cultivation Practices On Soil Microbial Community Structure And Nematode Abundance In A Cultivated Onion Crop", "description": "AbstractBACKGROUND<p>Responses of the soil microbial and nematode community to organic and conventional agricultural practices were studied using the Teagasc Kinsealy Systems Comparison trial as the experimental system. The trial is a long\uffe2\uff80\uff90term field experiment which divides conventional and organic agriculture into component pest\uffe2\uff80\uff90control and soil treatment practices. We hypothesised that management practices would affect soil ecology and used community level physiological profiles, microbial and nematode counts, and denaturing gradient gel electrophoresis (DGGE) to characterise soil microbial communities in plots used for onion (Allium cepa L.) cultivation.</p>RESULTS<p>Microbial activity and culturable bacterial counts were significantly higher under fully organic management. Culturable fungi, actinomycete and nematode counts showed a consistent trend towards higher numbers under fully organic management but these data were not statistically significant. No differences were found in the fungal/bacterial ratio. DGGE banding patterns and sequencing of excised bands showed clear differences between treatments. Putative onion fungal pathogens were predominantly sequenced under conventional soil treatment practices whilst putative soil suppressive bacterial species were predominantly sequenced from the organic pest\uffe2\uff80\uff90control treatment plots.</p>CONCLUSION<p>Organic management increased microbial activity and diversity. Sequence data was indicative of differences in functional groups and warrants further investigation. \uffc2\uffa9 2013 Society of Chemical Industry</p>", "keywords": ["DNA", " Bacterial", "0301 basic medicine", "Microbial diversity", "Nematoda", "Soil", "03 medical and health sciences", "Onions", "Animals", "DNA", " Fungal", "Ecosystem", "Soil Microbiology", "2. Zero hunger", "Organic Agriculture", "0303 health sciences", "Bacteria", "Denaturing Gradient Gel Electrophoresis", "0402 animal and dairy science", "Fungi", "Denaturing gradient gel electrophoresis", "Agriculture", "Biolog Eco-plates", "04 agricultural and veterinary sciences", "15. Life on land", "Community level physiological profile", "Organic agriculture", "0405 other agricultural sciences"]}, "links": [{"href": "https://doi.org/10.1002/jsfa.6206"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20the%20Science%20of%20Food%20and%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/jsfa.6206", "name": "item", "description": "10.1002/jsfa.6206", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/jsfa.6206"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-06-07T00:00:00Z"}}, {"id": "10.1002/jsfa.7196", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:40Z", "type": "Journal Article", "created": "2015-04-02", "title": "Effects Of Ditch-Buried Straw Return On Water Percolation, Nitrogen Leaching And Crop Yields In A Rice-Wheat Rotation System", "description": "AbstractBACKGROUND<p>Crop residue management and nitrogen loss are two important environmental problems in the rice\uffe2\uff80\uff93wheat rotation system in China. This study investigated the effects of burial of straw on water percolation, nitrogen loss by leaching, crop growth and yield. Greenhouse mesocosm experiments were conducted over the course of three simulated cropping seasons in a rice1\uffe2\uff80\uff93wheat\uffe2\uff80\uff93rice2 rotation.</p>RESULTS<p>Greater amounts of straw resulted in more water percolation, irrespective of crop season. Burial at 20 and 35\uffe2\uff80\uff89cm significantly reduced, but burial at 50\uffe2\uff80\uff89cm increased nitrogen leaching. Straw at 500\uffe2\uff80\uff89kg\uffe2\uff80\uff89ha\uffe2\uff88\uff921 reduced, but at 1000\uffe2\uff80\uff89kg\uffe2\uff80\uff89ha\uffe2\uff88\uff921 and at 1500\uffe2\uff80\uff89kg\uffe2\uff80\uff89ha\uffe2\uff88\uff921 straw increased nitrogen leaching in three consecutive crop rotations. In addition, straw at 500\uffe2\uff80\uff89kg\uffe2\uff80\uff89ha\uffe2\uff88\uff921 buried at 35\uffe2\uff80\uff89cm significantly increased yield and its components for both crops.</p>CONCLUSIONS<p>This study suggests that N losses via leaching from the rice\uffe2\uff80\uff93wheat rotation may be reduced by the burial of the appropriate amount of straw at the appropriate depth. Greater amounts of buried straw, however, may promote nitrogen leaching and negatively affect crop growth and yields. Complementary field experiments must be performed to make specific agronomic recommendations. \uffc2\uffa9 2015 Society of Chemical Industry</p>", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "Conservation of Natural Resources", "Plant Stems", "Nitrogen", "0402 animal and dairy science", "Agriculture", "Oryza", "04 agricultural and veterinary sciences", "15. Life on land", "Soil", "Humans", "0401 agriculture", " forestry", " and fisheries", "0405 other agricultural sciences", "Environmental Pollution", "Triticum"]}, "links": [{"href": "https://doi.org/10.1002/jsfa.7196"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20the%20Science%20of%20Food%20and%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/jsfa.7196", "name": "item", "description": "10.1002/jsfa.7196", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/jsfa.7196"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-04-24T00:00:00Z"}}, {"id": "10.1002/jsfa.8606", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:40Z", "type": "Journal Article", "created": "2017-07-31", "title": "How Are Arbuscular Mycorrhizal Associations Related To Maize Growth Performance During Short-Term Cover Crop Rotation?", "description": "AbstractBACKGROUND<p>Better cover crop management options aiming to maximize the benefits of arbuscular mycorrhizal fungi (AMF) to subsequent crops are largely unknown. We investigated the impact of cover crop management methods on maize growth performance and assemblages of AMF colonizing maize roots in a field trial. The cover crop treatments comprised Italian ryegrass, wheat, brown mustard and fallow in rotation with maize.</p>RESULTS<p>The diversity of AMF communities among cover crops used for maize management was significantly influenced by the cover crop and time course. Cover crops did not affect grain yield and aboveground biomass of subsequent maize but affected early growth. A structural equation model indicated that the root colonization, AMF diversity and maize phosphorus uptake had direct strong positive effects on yield performance.</p>CONCLUSION<p>AMF variables and maize performance were related directly or indirectly to maize grain yield, whereas root colonization had a positive effect on maize performance. AMF may be an essential factor that determines the success of cover crop rotational systems. Encouraging AMF associations can potentially benefit cover cropping systems. Therefore, it is imperative to consider AMF associations and crop phenology when making management decisions. \uffc2\uffa9 2017 Society of Chemical Industry</p>", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "0402 animal and dairy science", "Agriculture", "Phosphorus", "04 agricultural and veterinary sciences", "15. Life on land", "Plant Roots", "Zea mays", "Crop Production", "03 medical and health sciences", "Mycorrhizae", "Lolium", "0405 other agricultural sciences", "Soil Microbiology", "Triticum", "Mustard Plant"]}, "links": [{"href": "https://doi.org/10.1002/jsfa.8606"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20the%20Science%20of%20Food%20and%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/jsfa.8606", "name": "item", "description": "10.1002/jsfa.8606", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/jsfa.8606"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-11T00:00:00Z"}}, {"id": "10.1007/978-3-031-12176-0_11", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:46Z", "type": "Report", "created": "2022-11-28", "title": "Integrating X-ray CT Data into Models", "description": "Open AccessXP is a Mar\u00eda Zambrano Fellow at the Public University of Navarra (UPNA) and acknowledges funding from the European Union - NextGenerationEU through the Spanish program 'Ayuda para la Recualificaci\u00f3n del Sistema Universitario Espa\u00f1ol'. AE acknowledges funding from Swiss National Science Foundation: Grants P2EZP2 175128 and P400PB_186751. TR was funded by ERC Consolidator grant 646809 DIMR.", "keywords": ["2. Zero hunger", "570", "550", "X-Ray computed tomography", "[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation", "Soil properties", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation", "6. Clean water"], "contacts": [{"organization": "Portell, Xavier, Pot, Valerie, Ebrahimi, Ali, Monga, Olivier, Roose, Tiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/978-3-031-12176-0_11"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/978-3-031-12176-0_11", "name": "item", "description": "10.1007/978-3-031-12176-0_11", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/978-3-031-12176-0_11"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2020.106546", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:06Z", "type": "Journal Article", "created": "2020-10-05", "title": "Performance of the HYDRUS-1D model for water balance components assessment of irrigated winter wheat under different water managements in semi-arid region of Morocco", "description": "Abstract   The main goal of this research was to evaluate the potential of the HYDRUS-1D numerical model for estimating the soil moisture (\u03b8) at different depths, actual crop evapotranspiration (ETa) and its components (crop transpiration, Ta and soil evaporation, Ea) as well as the deep percolation (DP) of irrigated winter wheat under different water managements in the semi-arid region of Tensift-basin (central Morocco). The HYDRUS-1D simulations were performed at daily time step during the two growing seasons: 2002/2003 and 2015/2016.  The model was firstly calibrated based on one field \u201cdenoted F1\u201d data during the 2002/2003 cropping season by using the Levenberg-Marquardt method implemented in HYDRUS-1D model for optimizing various parameters of Van Genuchten equation that provide the minimum difference between measured and simulated soil moisture at four layers of soil (0\u20135, 5\u201310, 10\u201320, 20\u201330, 30\u201350\u00a0cm). Afterwards, the model validation was done based on the data from four fields of wheat: two fields \u201cdenoted F2 and F3\u201d during the 2002/2003 and two other fields \u201cdenoted F4 and F5\u201d during the 2015/2016 cropping season. All fields were irrigated with flooding system except the field F5 where drip irrigation was undertaken. In-situ measurements of \u03b8 was carried out using Time Domain Reflectometry (TDR) and gravimetric method ETa was measured by the Eddy Covariance system Ta and Ea were monitored using a lysimeter in F5 field. The results showed that the HYDRUS-1D model simulates the \u03b8, ETa, Ta and Ea reasonably well.  Additionally, the evaluation of the irrigation system on DP losses was investigated by comparing the simulation results over flood (F4) and drip (F5) irrigated fields. It was found that about 56% and 20% of seasonal supplied water were lost by DP in F4 and F5 sites, respectively. Such unexpected high amount of DP taking place in F5 field is due to the improper use of the drip irrigation system.", "keywords": ["690", "2. Zero hunger", "0106 biological sciences", "550", "Evapotranspiration", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0207 environmental engineering", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Eddy covariance", "02 engineering and technology", "15. Life on land", "deep percolation", "01 natural sciences", "6. Clean water", "winter wheat", "Winter wheat", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Deep percolation", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Eddy Covariance", "HYDRUS-1D"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2020.106546"}, {"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.2020.106546", "name": "item", "description": "10.1016/j.agwat.2020.106546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2020.106546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-01T00:00:00Z"}}, {"id": "10.1007/s00217-019-03253-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:56Z", "type": "Journal Article", "created": "2019-02-26", "title": "Influence of tara gum and xanthan gum on rheological and textural properties of starch-based gluten-free dough and bread", "description": "The aim of this research was to determine the influence of tara gum and xanthan gum on rheological and textural properties of gluten-free doughs and breads made from corn starch and potato starch. Four formulations were developed: corn starch with xanthan gum (CS-XG), corn starch with tara gum (CS-TG), potato starch with xanthan gum (PS-XG) and potato starch with tara gum (PS-TG) (XG and TG\u20140.5% of flour). Rheological and textural properties of doughs were evaluated, as well as specific volume, alveolar structure and texture profile of breads. The results showed that the addition of tara gum increased pasting properties of the potato starch formulation, however, in the corn starch formulations, it was not significantly different from xanthan gum addition. All formulations showed more elastic than viscous behavior (G\u2032>G\u2033) and these viscoelastic properties had an influence on the kinetics of dough growth during the leavening process. The formulation PS-XG presented high specific volume, low crumb hardness, and good crumb structure, while the PS-TG showed inferior properties. In contrast, in the corn starch formulations, CS-XG and CS-TG presented very similar physical characteristics. The application of tara gum in gluten-free breads is reported for the first time and depending on the starch used it showed desirable properties for obtaining good quality products.", "keywords": ["2. Zero hunger", "Propiedades reol\u00f3gicas", "Evaluaci\u00f3n", "Textura", "04 agricultural and veterinary sciences", "Panificaci\u00f3n", "Pan", "Per\u00fa", "0404 agricultural biotechnology", "https://purl.org/pe-repo/ocde/ford#2.11.01", "Goma Xantan", "Goma de tara", "0405 other agricultural sciences", "Gluten", "Productos de panader\u00eda"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s00217-019-03253-9.pdf"}, {"href": "https://doi.org/10.1007/s00217-019-03253-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Food%20Research%20and%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00217-019-03253-9", "name": "item", "description": "10.1007/s00217-019-03253-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00217-019-03253-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-26T00:00:00Z"}}, {"id": "10.1007/s00217-019-03296-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:56Z", "type": "Journal Article", "created": "2019-05-24", "title": "Membrane filtration and isoelectric precipitation technological approaches for the preparation of novel, functional and sustainable protein isolate from lentils", "description": "Isoelectric precipitation and ultrafiltration were investigated for their potential to produce protein products from lentils. Higher protein concentrations were obtained when ultrafiltration was used (>\u200990%), whereas isoelectric precipitation resulted in higher contents of dietary fibre and some minerals (i.e., sodium and phosphorus). Differences in the functional properties between the two ingredients were found as the isoelectric precipitated ingredient showed lower protein solubilities over the investigated pH range (from 3 to 9) which can be linked to the slightly higher hydrophobicity values (2688.7) and total sulfhydryl groups (23.9\u00a0\u00b5M/g) found in this sample. In contrast, the protein ingredient obtained by ultrafiltration was superior with regard to its solubility (48.3%; pH 7), fat-binding capacity (2.24\u00a0g/g), water holding capacity (3.96\u00a0g/g), gelling properties (11%; w/w), and foam-forming capacity (69.6%). The assessment of the environmental performance showed that both LPIs exhibited promising properties and low carbon footprints in comparison to traditional dairy proteins.", "keywords": ["2. Zero hunger", "Isoelectric precipitation", "Life cycle assessment", "0404 agricultural biotechnology", "lentil protein isolate; ultrafltration; isoelectric precipitation; physicochemical properties; protein functionality; life cycle assessment", "Physicochemical properties", "13. Climate action", "Lentil protein isolate", "Ultrafiltration", "04 agricultural and veterinary sciences", "Protein functionality", "0405 other agricultural sciences", "6. Clean water"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s00217-019-03296-y.pdf"}, {"href": "https://doi.org/10.1007/s00217-019-03296-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Food%20Research%20and%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00217-019-03296-y", "name": "item", "description": "10.1007/s00217-019-03296-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00217-019-03296-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-24T00:00:00Z"}}, {"id": "10.1007/s10021-013-9650-7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:11Z", "type": "Journal Article", "created": "2013-02-21", "title": "Stimulation Of Different Functional Groups Of Bacteria By Various Plant Residues As A Driver Of Soil Priming Effect", "description": "The turnover of organic matter in soil depends on the activity of microbial decomposers. However, little is known about how modifications of the diversity of soil microbial communities induced by fresh organic matter (FOM) inputs can regulate carbon cycling. Here, we investigated the decomposition of two 13C labeled crop residues (wheat and alfalfa) and the dynamics of the genetic structure and taxonomic composition of the soil bacterial communities decomposing 13C labeled FOM and native unlabeled soil organic matter (SOM), respectively. It was achieved by combining the stable isotope probing method with molecular tools (DNA genotyping and pyrosequencing of 16S rDNA). Although a priming effect (PE) was always induced by residue addition, its intensity increased with the degradability of the plant residue. The input of both wheat and alfalfa residues induced a rapid dynamics of FOM-degrading communities, corresponding to the stimulation of bacterial phyla which have been previously described as copiotrophic organisms. However, the dynamics and the identity of the bacterial groups stimulated depended on the residue added, with Firmicutes dominating in the wheat treatment and Proteobacteria dominating in the alfalfa treatment after 3\u00a0days of incubation. In both treatments, SOM-degrading communities were dominated by Acidobacteria, Verrucomicrobia, and Gemmatimonadetes phyla which have been previously described as oligotrophic organisms. An early stimulation of SOM-degrading populations mainly belonging to Firmicutes and Bacteroidetes groups was observed in the alfalfa treatment whereas no change occurred in the wheat treatment. Our findings support the hypothesis that the succession of bacterial taxonomic groups occurring in SOM- and FOM-degrading communities during the degradation process may be an important driver of the PE, and consequently of carbon dynamics in soil.", "keywords": ["0301 basic medicine", "2. Zero hunger", "570", "0303 health sciences", "[SDE.MCG]Environmental Sciences/Global Changes", "bacterial diversity", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology", "630", "soil", "[SDE.MCG] Environmental Sciences/Global Changes", "03 medical and health sciences", "pyrosequencing", "[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "soil organic matter", "carbon cycle", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "[SDV.MP.BAC] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "stable isotope probing"]}, "links": [{"href": "https://doi.org/10.1007/s10021-013-9650-7"}, {"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/s10021-013-9650-7", "name": "item", "description": "10.1007/s10021-013-9650-7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10021-013-9650-7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-02-22T00:00:00Z"}}, {"id": "10.1007/s00374-011-0539-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:01Z", "type": "Journal Article", "created": "2011-01-18", "title": "Effects Of Organic And Inorganic Fertilization On Soil Bacterial And Fungal Microbial Diversity In The Kabete Long-Term Trial, Kenya", "description": "The effects of crop manure and inorganic fertilizers on composition of microbial communities of central high land soils of Kenya are poorly known. For this reason, we have carried out a thirty-two-year-old long-term trial in Kabete, Kenya. These soils were treated with organic (maize stover (MS) at 10 t ha\u22121, farmyard manure (FYM) at 10 t ha\u22121) and inorganic fertilizers 120 kg N, 52.8 kg P (N2P2), N2P2 + MS, N2P2 + FYM, a control, and a fallow for over 30 years. We examined 16S rRNA gene and 28S rRNA gene fingerprints of bacterial and fungal diversity by PCR amplification and denaturing gradient gel electrophoresis separation, respectively. The PCR bacterial community structure and diversity were negatively affected by N2P2 and were more closely related to the bacterial structure in the soils without any addition (control) than that of soils with a combination of inorganic and organic or inorganic fertilizers alone. The effect on fungal diversity by N2P2 was different than the effect on bacterial diversity since the fungal diversity was similar to that of the N2P2 + FYM and N2P2 + MS-treated. However, soils treated with organic inputs clustered away from soils amended with inorganic inputs. Organic inputs had a positive effect on both bacterial and fungal diversity with or without chemical fertilizers. Results from this study suggested that total diversity of bacterial and fungal communities was closely related to agro-ecosystem management practices and may partially explain the yield differences observed between the different treatments.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "Microbial diversity", "soil microorganisms", "engrais organique", "http://aims.fao.org/aos/agrovoc/c_27870", "Organic and inorganic amendments", "F08 - Syst\u00e8mes et modes de culture", "rendement des cultures", "630", "fertilisation", "biodiversit\u00e9", "http://aims.fao.org/aos/agrovoc/c_4592", "http://aims.fao.org/aos/agrovoc/c_36669", "http://aims.fao.org/aos/agrovoc/c_2018", "inorganic fertilizers", "http://aims.fao.org/aos/agrovoc/c_10795", "http://aims.fao.org/aos/agrovoc/c_34326", "fertility", "2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "http://aims.fao.org/aos/agrovoc/c_33949", "g\u00e9n\u00e9tique des populations", "04 agricultural and veterinary sciences", "agro\u00e9cosyst\u00e8me", "6. Clean water", "fertilit\u00e9 du sol", "PCR", "http://aims.fao.org/aos/agrovoc/c_34079", "polymerization", "community structure", "abonos inorg\u00e1nicos", "management", "570", "http://aims.fao.org/aos/agrovoc/c_7170", "http://aims.fao.org/aos/agrovoc/c_7172", "flore microbienne", "soil", "http://aims.fao.org/aos/agrovoc/c_36167", "micro-organisme du sol", "http://aims.fao.org/aos/agrovoc/c_10176", "organic fertilizers", "abonos org\u00e1nicos", "pratique culturale", "microorganismos del suelo", "suelo", "flore du sol", "P35 - Fertilit\u00e9 du sol", "P34 - Biologie du sol", "polimerizaci\u00f3n", "15. Life on land", "engrais min\u00e9ral", "http://aims.fao.org/aos/agrovoc/c_16367", "http://aims.fao.org/aos/agrovoc/c_4086", "0401 agriculture", " forestry", " and fisheries", "F04 - Fertilisation"]}, "links": [{"href": "https://doi.org/10.1007/s00374-011-0539-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biology%20and%20Fertility%20of%20Soils", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00374-011-0539-3", "name": "item", "description": "10.1007/s00374-011-0539-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00374-011-0539-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-01-19T00:00:00Z"}}, {"id": "10.1016/j.foreco.2007.10.027", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:47Z", "type": "Journal Article", "created": "2007-12-06", "title": "Pairwise Comparison Of Soil Organic Particle-Size Distributions In Native Savannas And Eucalyptus Plantations In Congo", "description": "Abstract   Conversion of native vegetation into fast-growing tree plantations is known to affect soil organic matter (SOM): soil carbon (C) and nitrogen (N) content and their distribution in particle-size fractions can be modified in various ways depending on numerous factors, such as soil properties, SOM levels prior to conversion, climatic conditions, silvicultural practices and fire occurrence. Since 1978, 43,000\u00a0ha of clonal eucalyptus plantations have been established on sandy coastal plains under savannas near Pointe-Noire, Congo. We investigated the effects of afforestation on topsoil (0\u201310\u00a0cm) C and N through the analysis of their distribution in particle-size fractions using a pairwise experimental design that compared adjacent savannas and plantations. The studied plantations were of different ages (2\u201330-year-old stands) and differently affected by accidental fires. No significant difference in total topsoil C, N or C/N was observed between young plantations and savanna. In old plantations that had not been affected by fire, total topsoil C content was twice as high as in savanna (   p  =  0.0016   ), on average, mostly involving fractions    >   50\u00a0    \u03bc    m. By contrast, total topsoil N did not differ significantly at these sites. In old plantations affected by fire, total topsoil C content did not differ significantly from that in savanna, but total topsoil N was 26    %    lower in plantations than in savanna (   p  =  0.0063   ), on average, and the decrease affected fractions       200\u00a0    \u03bc    m especially. Whatever the fire occurrence, total topsoil C/N was higher in old plantations than in savanna, in fractions    >   20\u00a0    \u03bc    m especially.", "keywords": ["[SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture", "http://aims.fao.org/aos/agrovoc/c_7190", "SAVANNA", "SOIL ORGANIC MATTER", "FIRE", "analyse de sol", "FLUX ET STOCKS C", "http://aims.fao.org/aos/agrovoc/c_35657", "azote", "2. Zero hunger", "Eucalyptus", "FRACTIONATION", "fraction du sol", "forestry", "FIRE", "04 agricultural and veterinary sciences", "eucalyptus", "META ANALYSIS", "TURNOVER", "[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture", " forestry", "plantations", "particle size fractionation", "http://aims.fao.org/aos/agrovoc/c_5990", "fire", "mati\u00e8re organique du sol", "http://aims.fao.org/aos/agrovoc/c_2683", "P33 - Chimie et physique du sol", "570", "PARTICLE-SIZE FRACTIONATION", "http://aims.fao.org/aos/agrovoc/c_24420", "MATTER DYNAMICS", "http://aims.fao.org/aos/agrovoc/c_5192", "TROPICAL SOILS", "LITTER DECOMPOSITION", "soil organic matter", "MANAGEMENT", "EUCALYPTUS", "savane", "http://aims.fao.org/aos/agrovoc/c_1301", "PINUS", "CHANGEMENT D'USAGE DES TERRES", "CARBON DYNAMICS", "http://aims.fao.org/aos/agrovoc/c_1811", "15. Life on land", "savanna", "K10 - Production foresti\u00e8re", "AFFORESTATION", "http://aims.fao.org/aos/agrovoc/c_6825", "0401 agriculture", " forestry", " and fisheries", "carbone", "impact sur l'environnement", "http://aims.fao.org/aos/agrovoc/c_7198"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2007.10.027"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2007.10.027", "name": "item", "description": "10.1016/j.foreco.2007.10.027", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2007.10.027"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-03-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2024.117027", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:00Z", "type": "Journal Article", "created": "2024-09-14", "title": "Comparing LUCAS Soil and national systems: Towards a harmonized European Soil monitoring network", "description": "Open AccessPeer reviewed", "keywords": ["Europe", "Science", "Soil health", "Q", "Soil monitoring", "Soil monitoring ; Soil health ; Policies ; Europe ; LUCAS Soil", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Policies", "630", "LUCAS Soil"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2024.117027"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2024.117027", "name": "item", "description": "10.1016/j.geoderma.2024.117027", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2024.117027"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-01T00:00:00Z"}}, {"id": "10.1007/s10113-021-01863-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:12Z", "type": "Journal Article", "created": "2022-01-05", "title": "Organic inputs in agroforestry systems improve soil organic carbon storage in Itasy, Madagascar", "description": "Agroforestry systems (AFS) are recognized as one of the practices with high potential to store carbon in soils. In the Itasy region, AFS were introduced to improve farmers' livelihoods by diversifying income sources and to address problems related to soil degradation. Previous studies in the region have shown the potential of AFS to store organic carbon in the soil. In the present work, we carried out further studies to assess the main factors affecting SOC stocks in AFS. In 2014, we performed a soil sampling on 137 AFS farmers'plots to assess SOC stocks in different AFS. In 2018, a second sampling was carried out to calculate SOC storage rates using the diachronic approach on 30 most representative AFS. The results revealed that the factors 'age of the system' and 'type of organic inputs' significantly affected SOC stocks in AFS. SOC stocks increased significantly over time in AFS plots, benefiting from regular organic inputs such as manure and/or compost. In contrast, SOC stocks remained unchanged over time in AFS plots where no organic fertilization was used. Our study showed a substantial SOC storage up to 47 parts per thousand year(-1), mainly explained by regular additions of organic inputs to maintain soil fertility and crop production. However, to fully understand the process of SOC storage in this context, further works, such as the analysis of the link between organic matter quality and the SOC storage process, and the quantification of the share of soil carbon inputs derived from tree biomass should be undertaken.", "keywords": ["[SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture", "agro\u00e9cologie", "stockage", "petite exploitation agricole", "http://aims.fao.org/aos/agrovoc/c_330982", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "910", "630", "Tropical", "syst\u00e8mes agroforestiers", "http://aims.fao.org/aos/agrovoc/c_7427", "C sequestration", "TreeTropical", "http://aims.fao.org/aos/agrovoc/c_1721", "http://aims.fao.org/aos/agrovoc/c_1301", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "http://aims.fao.org/aos/agrovoc/c_4510", "http://aims.fao.org/aos/agrovoc/c_35657", "agroforesterie", "2. Zero hunger", "forestry", "Coffea arabica", "Compost", "04 agricultural and veterinary sciences", "15. Life on land", "http://aims.fao.org/aos/agrovoc/c_331583", "http://aims.fao.org/aos/agrovoc/c_207", "http://aims.fao.org/aos/agrovoc/c_92381", "Manure", "s\u00e9questration du carbone", "0401 agriculture", " forestry", " and fisheries", "carbone", "[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture", " forestry", "Tree", "Agroecology", "mati\u00e8re organique du sol", "http://aims.fao.org/aos/agrovoc/c_7113"], "contacts": [{"organization": "Rakotovao, Narindra, Rasoarinaivo, Angelina, Razafimbelo, Tantely, Blanchart, Eric, Albrecht, Alain,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s10113-021-01863-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Regional%20Environmental%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10113-021-01863-2", "name": "item", "description": "10.1007/s10113-021-01863-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10113-021-01863-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-05T00:00:00Z"}}, {"id": "10.1007/s10311-013-0420-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:13Z", "type": "Journal Article", "created": "2013-05-07", "title": "Soil Microbial Diversity And C Turnover Modified By Tillage And Cropping In Laos Tropical Grassland", "description": "Agricultural practices should modify the diversity of soil microbes. However, the precise relationships between soil properties and microbial diversity are poorly known. Here, we study the effect of agricultural management on soil microbial diversity and C turnover in tropical grassland of north-eastern Laos. Three years after native grassland conversion into agricultural land, we compared soils from five land use management systems: one till versus two no-till rotational cropping systems, one no-till improved pasture and the natural grassland. Soils were incubated in microcosms during 64 days at optimum temperature and humidity. Bacterial and fungal diversity were evaluated by metagenomic 454-pyrosequencing of 16S and 18SrRNA genes, respectively. Changes in soil respiration patterns were evaluated by monitoring 12C- and 13C-CO2 release after soil amendment with 13C-labelled wheat residues. Results show that residue mineralization increased with bacterial richness and diversity in the tilled treatment 7 days after soil amendment. Native soil organic C mineralization and priming effect increased with fungal richness and diversity in improved pasture and natural grassland. No-till cropping systems represented intermediate situations between tillage and pasture systems. Our findings evidence the potential of controlling soil microbial diversity by agricultural practices to improve soil biological properties. We suggest the promotion of no-till systems as a fair compromise between the need for agriculture intensification and soil ecological processes preservation.", "keywords": ["P33 - Chimie et physique du sol", "cycle du carbone", "Microbial diversity", "Conservation agriculture", "F08 - Syst\u00e8mes et modes de culture", "agro\u00e9cologie", "http://aims.fao.org/aos/agrovoc/c_7172", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "630", "Tillage", "biodiversit\u00e9", "labour", "Acid savannah", "http://aims.fao.org/aos/agrovoc/c_12076", "biologie du sol", "http://aims.fao.org/aos/agrovoc/c_33990", "http://aims.fao.org/aos/agrovoc/c_2018", "sol acide", "Priming effect", "savane", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "http://aims.fao.org/aos/agrovoc/c_6154", "pratique culturale", "http://aims.fao.org/aos/agrovoc/c_8511", "F07 - Fa\u00e7ons culturales", "2. Zero hunger", "flore du sol", "http://aims.fao.org/aos/agrovoc/c_33949", "P35 - Fertilit\u00e9 du sol", "prairie", "http://aims.fao.org/aos/agrovoc/c_7160", "P34 - Biologie du sol", "Carbon cycle", "non-travail du sol", "04 agricultural and veterinary sciences", "15. Life on land", "travail du sol", "rotation culturale", "http://aims.fao.org/aos/agrovoc/c_92381", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "exp\u00e9rimentation au champ", "http://aims.fao.org/aos/agrovoc/c_6825", "0401 agriculture", " forestry", " and fisheries", "http://aims.fao.org/aos/agrovoc/c_17299", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "http://aims.fao.org/aos/agrovoc/c_6021", "http://aims.fao.org/aos/agrovoc/c_89", "http://aims.fao.org/aos/agrovoc/c_7771", "http://aims.fao.org/aos/agrovoc/c_6662"]}, "links": [{"href": "https://doi.org/10.1007/s10311-013-0420-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Chemistry%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10311-013-0420-8", "name": "item", "description": "10.1007/s10311-013-0420-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10311-013-0420-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-05-08T00:00:00Z"}}, {"id": "10.1007/s10457-015-9845-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:16Z", "type": "Journal Article", "created": "2015-09-12", "title": "The Introduction Of Hybrid Walnut Trees (Juglans Nigra X Regia Cv. Ng23) Into Cropland Reduces Soil Mineral N Content In Autumn In Southern France", "description": "The introduction of trees in cropland may be a way to improve the mineral nitrogen (N) use efficiency since tree roots can intercept N leached below the crop rooting zone and recycle it as organic N. The aim of this study was to determine soil mineral N (SMN) and total N (STN) contents after 14 years of hybrid walnut tree growth in an agroforestry system. Soil cores were collected and analyses in mid-autumn 2009, in intercropped agroforestry (AF), pure tree (FC) and sole crop control (CC) plots. The SMN was significantly reduced in AF compared to CC (64, 58 and 51 % of reduction at 0.2, 1 and 2 m depth respectively). In the top 1 m of soil, the stock of SMN was 77.7 kg N ha\u22121 in CC versus 32.8 kg N ha\u22121 in AF. Trees in AF developed deeper fine roots than in FC, likely involved in the reduction of SMN when compared to CC. Despite this quantitative reduction, trees also progressively modified the form of mineral N in soil by decreasing the percentage of nitrate (NO3 \u2212) in SMN, particularly in FC compared to CC, while AF was intermediate. The STN was not significantly different between AF and CC; but was higher in FC in the top soil, probably due to weeds and superficial tree root biomasses. Our results suggest that the introduction of hybrid walnut trees into cropland may be an efficient practice to reduce the potentially leachable N by winter rainfall.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "571", "potential net N mineralization and nitrification", "04 agricultural and veterinary sciences", "15. Life on land", "hybrid walnut trees", "soil mineral", "N Total", "agroforestry systems", "[SDV.BV]Life Sciences [q-bio]/Vegetal Biology", "0401 agriculture", " forestry", " and fisheries", "[SDV.BV] Life Sciences [q-bio]/Vegetal Biology"]}, "links": [{"href": "https://doi.org/10.1007/s10457-015-9845-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agroforestry%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10457-015-9845-3", "name": "item", "description": "10.1007/s10457-015-9845-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10457-015-9845-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-09-12T00:00:00Z"}}, {"id": "10.1007/s10705-005-0510-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:22Z", "type": "Journal Article", "created": "2005-09-29", "title": "Measurement And Modelling Of No Fluxes On Maize And Wheat Crops During Their Growing Seasons: Effect Of Crop Management", "description": "Fertilized agricultural soils are a significant source of NO, a gas involved in tropospheric ozone formation. The aims of the research reported here were to measure NO fluxes over the length of the growing season of wheat and maize crops, and to build a model of soil NO emissions from arable land. Field experiments were carried out on a 1-ha field divided into two parts. The first one was cropped with wheat and harvested in late July, 2002, whereas the second part was sown with maize and harvested in October. The wheat and maize received 130 kg N ha\u22121 and 140 kg N ha\u22121, respectively. For each crop, NO fluxes were measured during 10 months every 2 weeks using manual closed chambers, and continuously with a wind tunnel immediately after nitrogen fertilization. Fertilizer application significantly affected NO emissions: the largest NO emissions were recorded a few days after nitrogen application. This delay depended on the kinetics of nitrogen incorporation in the soil, as influenced by rainfall. The emissions measured on the maize field (2.6% of the fertilizer amount applied) were more important than those on the wheat field (1.0% of the fertilizer amount applied), owing to differences in timing of nitrogen application, with respect to climate and crop growth. Relationships between soil nitrification rate and NO emission obtained from laboratory incubations, and experimental data appeared useful and relevant to predict NO emissions at the field-scale.", "keywords": ["[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]", "[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "2. Zero hunger", "550", "[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy", "04 agricultural and veterinary sciences", "Arable soils", "15. Life on land", "NO emission", "01 natural sciences", "630", "Modelling", "[PHYS.PHYS.PHYS-AO-PH] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]", "6. Clean water", "13. Climate action", "Influencing factors", "0401 agriculture", " forestry", " and fisheries", "Biogenic", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10705-005-0510-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nutrient%20Cycling%20in%20Agroecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10705-005-0510-5", "name": "item", "description": "10.1007/s10705-005-0510-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10705-005-0510-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-06-01T00:00:00Z"}}, {"id": "10.1007/s10705-013-9591-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:25Z", "type": "Journal Article", "created": "2013-12-07", "title": "Contribution Of Relay Intercropping With Legume Cover Crops On Nitrogen Dynamics In Organic Grain Systems", "description": "Nitrogen (N) management is a key issue in livestock-free organic grain systems. Relay intercropping with a legume cover crop can be a useful technique for improving N availability when two cash crops are grown successively. We evaluated the benefits of four relay intercropped legumes (Medicago lupulina, Medicago sativa, Trifolium pratense and Trifolium repens) on N dynamics and their contribution to the associated and subsequent cash crops in six fields of organic farms located in South-East France. None of the relay intercropped legumes affected the N uptake of the associated winter wheat but all significantly increased the N uptake of the succeeding spring crop, either maize or spring wheat. The improvement of the N nutrition of the subsequent maize crop induced a 30 % increase in grain yield. All relay intercropped legumes enriched the soil-plant system in N through symbiotic fixation. From 71 to 96 % of the N contained in the shoots of the legumes in late autumn was derived from the atmosphere (Ndfa) and varied between 38 and 67 kg Ndfa ha(-1). Even if the cover crop is expected to limit N leaching during wintertime, the presence of relay intercropped legumes had no significant effect on N leaching during winter compared to the control.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "2. Zero hunger", "0106 biological sciences", "winter-wheat", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "corn following wheat", "Legume cover crop", "Organic farming", "N uptake", "agricultural system", "natural-abundance", "04 agricultural and veterinary sciences", "15. Life on land", "Nitrate", "01 natural sciences", "630", "Relay intercropping", "n-2 fixation", "undersown crop", "catch crop", "Leaching", "isotopic fractionation", "rhizobial strain", "0401 agriculture", " forestry", " and fisheries", "living mulche"]}, "links": [{"href": "https://doi.org/10.1007/s10705-013-9591-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nutrient%20Cycling%20in%20Agroecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10705-013-9591-8", "name": "item", "description": "10.1007/s10705-013-9591-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10705-013-9591-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-12-08T00:00:00Z"}}, {"id": "10.1007/s10705-014-9650-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:25Z", "type": "Journal Article", "created": "2014-10-25", "title": "Nitrate Leaching From Organic And Conventional Arable Crop Farms In The Seine Basin (France)", "description": "In the Seine Basin, characterised by intensive arable crops, most of the surface and groundwater is contaminated by nitrate (NO3-). The goal of this study is to investigate nitrogen leaching on commercial arable crop farms in five organic and three conventional systems. In 2012-2013, a total of 37 fields are studied on eight arable crop rotations, for three different soil and climate conditions. Our results show a gradient of soil solution concentrations in function of crops, lower for alfalfa (mean 2.8 mg NO3-N l(-1)) and higher for crops fertilised after legumes (15 mg NO3-N l(-1)). Catch crops decrease nitrate soil solution concentrations, below 10 mg NO3-N l(-1). For a full rotation, the estimated mean concentrations is lower for organic farming, 12 +/- 5 mg NO3-N l(-1) than for conventional farming 24 +/- 11 mg NO3-N l(-1), with however a large range of variability. Overall, organic farming shows lower leaching rates (14-50 kg NO3-N ha(-1)) than conventional farms (32-77 kg NO3-N ha(-1)). Taking into account the slightly lower productivity of organic systems, we show that yield-scaled leaching values are also lower for organic (0.2 +/- 0.1 kg N kg(-1) N year(-1)) than for conventional systems (0.3 +/- 0.1 kg N kg(-1) N year(-1)). Overall, we show that organic farming systems have lower impact than conventional farming on N leaching, although there is still room for progress in both systems in commercial farms.", "keywords": ["[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "2. Zero hunger", "Organic farming", "Soil Science", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Nitrate leaching", "Farmer-centred approach", "Arable crops", "13. Climate action", "Ceramic cups", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "0401 agriculture", " forestry", " and fisheries", "Agronomy and Crop Science"], "contacts": [{"organization": "Benoit, Marie, Garnier, Josette, Anglade, Juliette, Billen, Gilles,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s10705-014-9650-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nutrient%20Cycling%20in%20Agroecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10705-014-9650-9", "name": "item", "description": "10.1007/s10705-014-9650-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10705-014-9650-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-10-26T00:00:00Z"}}, {"id": "10.1007/s10705-025-10429-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:25Z", "type": "Journal Article", "created": "2025-08-20", "title": "Regenerating productivity after soil fertility depletion in a 20-year cotton\u2013maize rotation in Benin", "description": "Abstract           <p>Soil degradation is a major challenge in Sub-Saharan Africa, where integrated soil fertility management has been promoted to restore productivity. A long-term experiment (1972\uffe2\uff80\uff931992) run in Benin consisted of two phases: a depletion phase (1972\uffe2\uff80\uff931980) with varying levels of mineral and organic fertilisation, and a regeneration phase (1981\uffe2\uff80\uff931992) where all plots received full fertilisation and organic matter additions. Soils were sampled at 0\uffe2\uff80\uff9320\uffc2\uffa0cm depth in 1973, 1974, 1982, and 1989 to assess fertility changes. Mineral fertilisation (N, P, K) and plant biomass management (crop residue retention and biomass additions) significantly influenced seed cotton and maize grain yields during the depletion phase. Soil organic carbon declined consistently in all treatments during depletion but remained stable during regeneration. The long-term effect was evident only in seed cotton yield during depletion. In contrast, due to high variability, maize grain yield showed no consistent trend. The combined use of organic resources and mineral fertilisers helped maintain crop productivity but led to declining soil chemical properties in this Ferralsol. The analysis of this outdated yet unpublished dataset shed light on how long-term soil depletion effects persist over time, even when soil fertility management is restored, indicating a sort of \uffe2\uff80\uff98soil memory\uffe2\uff80\uff99. The persistence of these effect suggests that regenerative interventions must begin before critical thresholds of degradation are crossed. Future research should focus on alternative measures to restore/maintain soil fertility not evaluated in this experiment, such as conservation tillage or legume integration, to provide long-term benefits for smallholder farmers facing soil fertility challenges.</p", "keywords": ["Crop residues", "diversification", "propri\u00e9t\u00e9 physicochimique du sol", "IMPACT", "http://aims.fao.org/aos/agrovoc/c_7170", "rendement des cultures", "Cotton-maize yields", "Nutrient cycling", "http://aims.fao.org/aos/agrovoc/c_875", "fertilisation", "CARBON", "CROP PRODUCTIVITY", "http://aims.fao.org/aos/agrovoc/c_10176", "Long-term experiment", "mauvaise herbe", "http://aims.fao.org/aos/agrovoc/c_2018", "http://aims.fao.org/aos/agrovoc/c_7165", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "COMPOST", "pratique culturale", "http://aims.fao.org/aos/agrovoc/c_8511", "http://aims.fao.org/aos/agrovoc/c_10795", "http://aims.fao.org/aos/agrovoc/c_7168", "http://aims.fao.org/aos/agrovoc/c_35657", "Gossypium", "Soil organic carbon", "MEMORY", "http://aims.fao.org/aos/agrovoc/c_7182", "Soil's memory", "non-travail du sol", "http://aims.fao.org/aos/agrovoc/c_8fc04948", "http://aims.fao.org/aos/agrovoc/c_331583", "STATE", "ORGANIC-MATTER", "fertilit\u00e9 du sol", "s\u00e9questration du carbone", "http://aims.fao.org/aos/agrovoc/c_8347", "YIELD", "d\u00e9gradation du sol", "conservation des sols", "MINERAL FERTILIZER", "http://aims.fao.org/aos/agrovoc/c_3335", "gestion int\u00e9gr\u00e9e de la fertilit\u00e9 des sols", "http://aims.fao.org/aos/agrovoc/c_2344", "mati\u00e8re organique du sol"]}, "links": [{"href": "https://doi.org/10.1007/s10705-025-10429-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nutrient%20Cycling%20in%20Agroecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10705-025-10429-1", "name": "item", "description": "10.1007/s10705-025-10429-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10705-025-10429-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-08-20T00:00:00Z"}}, {"id": "10.1007/s11104-023-05991-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:37Z", "type": "Journal Article", "created": "2023-05-10", "title": "Tree stem and soil methane and nitrous oxide fluxes, but not carbon dioxide fluxes, switch sign along a topographic gradient in a tropical forest", "description": "Purpose<br/>Tropical forests exchange large amounts of greenhouse gases (GHGs: carbon dioxide, CO2; methane, CH4; and nitrous oxide, N2O) with the atmosphere. Forest soils and stems can be either sources or sinks for CH4 and N2O, but little is known about what determines the sign and magnitude of these fluxes. Here, we aimed to study how stem and soil GHG fluxes vary along a topographic gradient in a tropical forest.<br/><br/>Methods<br/>Fluxes of GHG from 56 individual tree stems and adjacent soils were measured with manual static chambers. The topographic gradient was characterized by a soil moisture gradient, with one end in a wetland area (\u201cseasonally flooded\u201d; SF), the other end in an upland area (\u201cterra firme\u201d; TF) and in between a transitional area on the slope (SL).<br/><br/>Results<br/>Tree stems and soils were always sources of CO2 with higher fluxes in SF compared to TF and SL. Fluxes of CH4 and N2O were more variable, even within one habitat. Results showed that, in TF, soils acted as sinks for N2O whereas, in SF and SL, they acted as sources. In contrast, tree stems which were predominantly sources of N2O in SF and TF, were sinks in SL. In the soil, N2O fluxes were significantly influenced by both temperature and soil water content, whereas CH4 fluxes were only significantly correlated with soil water content.<br/><br/>Conclusion<br/>SF areas were major sources of the three gases, whereas SL and TF soils and tree stems acted as either sources or sinks for CH4 and N2O. Our results indicate that tree stems represent overlooked sources of CH4 and N2O in tropical forests that need to be further studied to refine GHG budgets.", "keywords": ["[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "106022 Mikrobiologie", "550", "source", "Spatial variation", "Sink", "[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy", "spatial variation", "Source", "15. Life on land", "Stem", "630", "soil", "[SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics", "Soil", "Greenhouse gas (GHG) exchange", "13. Climate action", "106026 \u00d6kosystemforschung", "[SDV.GEN.GPL] Life Sciences [q-bio]/Genetics/Plants genetics", "106022 Microbiology", "stem", "sink", "106026 Ecosystem research", "Biology", "greenhouse gas (GHG) exchange"]}, "links": [{"href": "https://doi.org/10.1007/s11104-023-05991-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-023-05991-y", "name": "item", "description": "10.1007/s11104-023-05991-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-023-05991-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-09T00:00:00Z"}}, {"id": "10.1007/s11104-023-06151-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:37Z", "type": "Journal Article", "created": "2023-07-26", "title": "Smart soils track the formation of pH gradients across the rhizosphere", "description": "Abstract                 Aims                 <p>Our understanding of the rhizosphere is limited by the lack of techniques for in situ live microscopy. Current techniques are either destructive or unsuitable for observing chemical changes within the pore space. To address this limitation, we have developed artificial substrates, termed smart soils, that enable the acquisition and 3D reconstruction of chemical sensors attached to soil particles.</p>                                Methods                 <p>The transparency of smart soils was achieved using polymer particles with refractive index matching that of water. The surface of the particles was modified both to retain water and act as a local sensor to report on pore space pH via fluorescence emissions. Multispectral signals were acquired from the particles using a light sheet microscope, and machine learning algorithms predicted the changes and spatial distribution in pH at the surface of the smart soil particles.</p>                                Results                 <p>The technique was able to predict pH live and in situ within \uffc2\uffb1\uffe2\uff80\uff890.5 units of the true pH value. pH distribution could be reconstructed across a volume of several cubic centimetres around plant roots at 10\uffc2\uffa0\uffce\uffbcm resolution. Using smart soils of different composition, we revealed how root exudation and pore structure create variability in chemical properties.</p>                                Conclusion                 <p>Smart soils captured the pH gradients forming around a growing plant root. Future developments of the technology could include the fine tuning of soil physicochemical properties, the addition of chemical sensors and improved data processing. Hence, this technology could play a critical role in advancing our understanding of complex rhizosphere processes.</p>", "keywords": ["/dk/atira/pure/subjectarea/asjc/1100/1111", "light sheet microscopy", "0301 basic medicine", "570", "0303 health sciences", "name=Soil Science", "/dk/atira/pure/subjectarea/asjc/1100/1110", "Sensing soil", "live imaging", "15. Life on land", "root", "530", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "03 medical and health sciences", "Root", "13. Climate action", "Rhizosphere", "Light sheet microscopy", "name=Plant Science", "rhizosphere", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Live imaging"]}, "links": [{"href": "https://doi.org/10.1007/s11104-023-06151-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-023-06151-y", "name": "item", "description": "10.1007/s11104-023-06151-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-023-06151-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-26T00:00:00Z"}}, {"id": "10.1007/s11104-024-06959-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:37Z", "type": "Journal Article", "created": "2024-11-01", "title": "Tree functional group mediates the effects of nutrient addition on soil nutrients and fungal communities beneath decomposing wood", "description": "\u00a9 The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.Background: Deadwood contains a large reservoir of carbon and nutrients in forest ecosystems, its decomposition has considerable effects on forest soil chemistry and biota. Tree functional group and nutrient inputs both have a significant influence on wood decomposition rates. However, little is known about how these factors interactively influence soil biogeochemistry through wood decomposition. Methods: We examined the effects of nitrogen (N) and phosphorus (P) addition on wood decomposition of different angiosperm and gymnosperm tree species in a three-year period in a subtropical forest. We explored the outcomes for the underlying soil nutrients, microbial biomass, and saprotrophic fungal communities. Result: We found that P addition, rather than N, significantly increased total C, P, as well as microbial biomass C and P concentrations in the soil beneath deadwood. These effects were particularly pronounced in the soil beneath angiosperm wood compared to gymnosperm wood, likely related to the higher decomposition rates of angiosperm wood and its sensitivity to P. Similarly, the presence and abundance of soil saprotrophic fungal communities was strongly associated with P addition, where specific fungal responses were more pronounced under angiosperm wood than gymnosperm wood. Conclusion: Our study underscores the pivotal role of tree functional group in modulating the response of soil nutrient dynamics and fungal community structure beneath decomposing wood in a subtropical forest. These insights are critical for developing predictive models of soil nutrient cycles, which can help manage forest ecosystems more effectively in the face of global environmental changes.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "Soil nutrient concentrations", "Carbon cycling", "570", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "Saprotrophic fungi", "Wood decomposition", "Tree functional group", "630", "Nutrient addition experiment"]}, "links": [{"href": "https://doi.org/10.1007/s11104-024-06959-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-024-06959-2", "name": "item", "description": "10.1007/s11104-024-06959-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-024-06959-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-01T00:00:00Z"}}, {"id": "10.1007/s11242-015-0572-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:38Z", "type": "Journal Article", "created": "2015-09-14", "title": "Visualization and Characterization of Heterogeneous Water Flow in Double-Porosity Media by Means of X-ray Computed Tomography", "description": "Three-dimensional visualization of dynamic water transport process in soil by 1 computed tomography (CT) technique is still limited by its low temporal resolution. In order 2 to monitor dynamically water transport in soil, a compromise has to be found between water 3 flow velocity and CT acquisition time. Furthermore, an efficient image analysis method is 1 4 necessary. In this work, we followed the water transport in three dimensions by CT imaging 5 across a double-porosity media constituted of two distinct materials, i.e. sand and porous 6 clay spheres. The CT acquisition parameters were adjusted to the water pore velocity so that 7 we succeeded to register the water front displacement per time range of 25 min. We also used 8 the image subtraction method to extract water distribution evolution with time with a space 9 resolution of 6 \u00d7 10 \u22123 cm. Both time and space resolution are relatively high compared with 10 other dynamic studies. The water content profiles showed that the clay spheres remained 11 in their dry state during water infiltration, while the water transport only occurred in the 12 sand matrix. These results are consistent with macroscopic experiments. The water front 13 visualized by CT showed a non-symmetrical shape which was related to water transfer in 14 non-equilibrium as shown by column displacement experiments.", "keywords": ["2. Zero hunger", "550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0208 environmental biotechnology", "Porous media", "0207 environmental engineering", "02 engineering and technology", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "6. Clean water", "620", "Image analysis", "3D visualization", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Computed tomography", "Water transport"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s11242-015-0572-z"}, {"href": "https://doi.org/10.1007/s11242-015-0572-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Transport%20in%20Porous%20Media", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11242-015-0572-z", "name": "item", "description": "10.1007/s11242-015-0572-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11242-015-0572-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-09-14T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Agricultural+Sciences&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Agricultural+Sciences&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Agricultural+Sciences&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Agricultural+Sciences&offset=50", "hreflang": "en-US"}], "numberMatched": 472, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-06-23T23:43:37.401061Z"}