{"type": "FeatureCollection", "features": [{"id": "10.1007/s10021-008-9198-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:14:28Z", "type": "Journal Article", "created": "2008-10-14", "title": "Soil Respiration In European Grasslands In Relation To Climate And Assimilate Supply", "description": "Soil respiration constitutes the second largest flux of carbon (C) between terrestrial ecosystems and the atmosphere. This study provides a synthesis of soil respiration (R(s)) in 20 European grasslands across a climatic transect, including ten meadows, eight pastures and two unmanaged grasslands. Maximum rates of R(s) (R(s(max) )), R(s) at a reference soil temperature (10\u00b0C; R(s(10) )) and annual R(s) (estimated for 13 sites) ranged from 1.9 to 15.9 \u03bcmol CO(2) m(-2) s(-1), 0.3 to 5.5 \u03bcmol CO(2) m(-2) s(-1) and 58 to 1988 g C m(-2) y(-1), respectively. Values obtained for Central European mountain meadows are amongst the highest so far reported for any type of ecosystem. Across all sites R(s(max) ) was closely related to R(s(10) ).Assimilate supply affected R(s) at timescales from daily (but not necessarily diurnal) to annual. Reductions of assimilate supply by removal of aboveground biomass through grazing and cutting resulted in a rapid and a significant decrease of R(s). Temperature-independent seasonal fluctuations of R(s) of an intensively managed pasture were closely related to changes in leaf area index (LAI). Across sites R(s(10) ) increased with mean annual soil temperature (MAT), LAI and gross primary productivity (GPP), indicating that assimilate supply overrides potential acclimation to prevailing temperatures. Also annual R(s) was closely related to LAI and GPP. Because the latter two parameters were coupled to MAT, temperature was a suitable surrogate for deriving estimates of annual R(s) across the grasslands studied. These findings contribute to our understanding of regional patterns of soil C fluxes and highlight the importance of assimilate supply for soil CO(2) emissions at various timescales.", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "leaf area index", "577", "temperature", "land use", "04 agricultural and veterinary sciences", "15. Life on land", "soil CO2 efflux", "13. Climate action", "Settore BIO/07 - ECOLOGIA", "moisture", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "soil carbon", "gross primary productivity", "Soil CO2 efflux"]}, "links": [{"href": "https://doi.org/10.1007/s10021-008-9198-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10021-008-9198-0", "name": "item", "description": "10.1007/s10021-008-9198-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10021-008-9198-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-10-15T00:00:00Z"}}, {"id": "10.1098/rstb.2018.0084", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:17:19Z", "type": "Journal Article", "created": "2018-10-08", "title": "Changes in surface hydrology, soil moisture and gross primary production in the Amazon during the 2015/2016 El Ni\u00f1o", "description": "<p>The 2015/2016 El Ni\uffc3\uffb1o event caused severe changes in precipitation across the tropics. This impacted surface hydrology, such as river run-off and soil moisture availability, thereby triggering reductions in gross primary production (GPP). Many biosphere models lack the detailed hydrological component required to accurately quantify anomalies in surface hydrology and GPP during droughts in tropical regions. Here, we take the novel approach of coupling the biosphere model SiBCASA with the advanced hydrological model PCR-GLOBWB to attempt such a quantification across the Amazon basin during the drought in 2015/2016. We calculate 30\uffe2\uff80\uff9340% reduced river discharge in the Amazon starting in October 2015, lagging behind the precipitation anomaly by approximately one month and in good agreement with river gauge observations. Soil moisture shows distinctly asymmetrical spatial anomalies with large reductions across the north-eastern part of the basin, which persisted into the following dry season. This added to drought stress in vegetation, already present owing to vapour pressure deficits at the leaf, resulting in a loss of GPP of 0.95 (0.69 to 1.20) PgC between October 2015 and March 2016 compared with the 2007\uffe2\uff80\uff932014 average. Only 11% (10\uffe2\uff80\uff9312%) of the reduction in GPP was found in the (wetter) north-western part of the basin, whereas the north-eastern and southern regions were affected more strongly, with 56% (54\uffe2\uff80\uff9356%) and 33% (31\uffe2\uff80\uff9333%) of the total, respectively. Uncertainty on this anomaly mostly reflects the unknown rooting depths of vegetation.</p>           <p>This article is part of a discussion meeting issue \uffe2\uff80\uff98The impact of the 2015/2016 El Ni\uffc3\uffb1o on the terrestrial tropical carbon cycle: patterns, mechanisms and implications\uffe2\uff80\uff99.</p>", "keywords": ["El Nino-Southern Oscillation", "0207 environmental engineering", "Articles", "02 engineering and technology", "Forests", "15. Life on land", "tropical terrestrial carbon cycle", "01 natural sciences", "6. Clean water", "Carbon Cycle", "Droughts", "Soil", "13. Climate action", "El Ni\u00f1o", "Seasons", "soil moisture", "Hydrology", "gross primary productivity", "Amazon", "river discharge", "Brazil", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://royalsocietypublishing.org/doi/pdf/10.1098/rstb.2018.0084"}, {"href": "https://doi.org/10.1098/rstb.2018.0084"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Philosophical%20Transactions%20of%20the%20Royal%20Society%20B%3A%20Biological%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1098/rstb.2018.0084", "name": "item", "description": "10.1098/rstb.2018.0084", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1098/rstb.2018.0084"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-08T00:00:00Z"}}, {"id": "10.1111/j.1365-2486.2007.01439.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:17:36Z", "type": "Journal Article", "created": "2007-10-18", "title": "Co2balance Of Boreal, Temperate, And Tropical Forests Derived From A Global Database", "description": "Abstract<p>Terrestrial ecosystems sequester 2.1\uffe2\uff80\uff83Pg of atmospheric carbon annually. A large amount of the terrestrial sink is realized by forests. However, considerable uncertainties remain regarding the fate of this carbon over both short and long timescales. Relevant data to address these uncertainties are being collected at many sites around the world, but syntheses of these data are still sparse. To facilitate future synthesis activities, we have assembled a comprehensive global database for forest ecosystems, which includes carbon budget variables (fluxes and stocks), ecosystem traits (e.g. leaf area index, age), as well as ancillary site information such as management regime, climate, and soil characteristics. This publicly available database can be used to quantify global, regional or biome\uffe2\uff80\uff90specific carbon budgets; to re\uffe2\uff80\uff90examine established relationships; to test emerging hypotheses about ecosystem functioning [e.g. a constant net ecosystem production (NEP) to gross primary production (GPP) ratio]; and as benchmarks for model evaluations. In this paper, we present the first analysis of this database. We discuss the climatic influences on GPP, net primary production (NPP) and NEP and present the CO2 balances for boreal, temperate, and tropical forest biomes based on micrometeorological, ecophysiological, and biometric flux and inventory estimates. Globally, GPP of forests benefited from higher temperatures and precipitation whereas NPP saturated above either a threshold of 1500\uffe2\uff80\uff83mm precipitation or a mean annual temperature of 10 \uffc2\uffb0C. The global pattern in NEP was insensitive to climate and is hypothesized to be mainly determined by nonclimatic conditions such as successional stage, management, site history, and site disturbance. In all biomes, closing the CO2 balance required the introduction of substantial biome\uffe2\uff80\uff90specific closure terms. Nonclosure was taken as an indication that respiratory processes, advection, and non\uffe2\uff80\uff90CO2 carbon fluxes are not presently being adequately accounted for.</p>", "keywords": ["0106 biological sciences", "environment/Bioclimatology", "550", "[SDV]Life Sciences [q-bio]", "01 natural sciences", "630", "SDG 17 - Partnerships for the Goals", "carbon cycle", "SDG 13 - Climate Action", "carbon cycle; forest ecosystems; global database; gross primary productivity; net ecosystem productivity; net primary productivity", "net primary productivity", "global database", "0105 earth and related environmental sciences", "Ecology", "net ecosystem productivity", "forest ecosystems", "Biological Sciences", "15. Life on land", "Climate Action", "[SDV] Life Sciences [q-bio]", "[SDV.EE.BIO] Life Sciences [q-bio]/Ecology", " environment/Bioclimatology", "13. Climate action", "[SDV.EE.BIO]Life Sciences [q-bio]/Ecology", "CO2", "gross primary productivity", "Environmental Sciences"]}, "links": [{"href": "https://escholarship.org/content/qt57t1t77c/qt57t1t77c.pdf"}, {"href": "https://doi.org/10.1111/j.1365-2486.2007.01439.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-2486.2007.01439.x", "name": "item", "description": "10.1111/j.1365-2486.2007.01439.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2486.2007.01439.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-08-21T00:00:00Z"}}, {"id": "10.1111/j.1469-8137.2010.03319.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:17:41Z", "type": "Journal Article", "created": "2010-06-11", "title": "Shifts In Plant Respiration And Carbon Use Efficiency At A Large-Scale Drought Experiment In The Eastern Amazon", "description": "<p>Featured paper: See Editorial p553</p>", "keywords": ["0106 biological sciences", "Time Factors", "550", "plant community", "carbon fixation", "Carbon use efficiency", "Cell Respiration", "Amazon rain forest", "drought", "Gross primary productivity", "01 natural sciences", "experimental study", "metabolism Amazon rain forest", "Trees", "Soil", "cell respiration", "Keywords: carbon", "partitioning", "Ecosystem", "ecosystem", "Carbon cycling", "Drought", "Bacteria", "article", "carbon dioxide", "net primary production", "Carbon Dioxide", "15. Life on land", "bacterium", "Carbon", "6. Clean water", "Net primary productivity", "Droughts", "carbon flux", "Carbon dioxide", "rainforest", "respiration", "Partitioning", "Brazil"]}, "links": [{"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/79387/5/f5625xPUB78382010.pdf.jpg"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/79387/7/01_Metcalfe_Shifts_in_plant_respiration_2010.pdf.jpg"}, {"href": "https://doi.org/10.1111/j.1469-8137.2010.03319.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1469-8137.2010.03319.x", "name": "item", "description": "10.1111/j.1469-8137.2010.03319.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1469-8137.2010.03319.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-07-19T00:00:00Z"}}, {"id": "10.1111/nph.15123", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:17:46Z", "type": "Journal Article", "created": "2018-03-31", "title": "Quantifying soil moisture impacts on light use efficiency across biomes", "description": "Summary<p>   <p>Terrestrial primary productivity and carbon cycle impacts of droughts are commonly quantified using vapour pressure deficit (VPD) data and remotely sensed greenness, without accounting for soil moisture. However, soil moisture limitation is known to strongly affect plant physiology.</p>  <p>Here, we investigate light use efficiency, the ratio of gross primary productivity (GPP) to absorbed light. We derive its fractional reduction due to soil moisture (fLUE), separated from VPD and greenness changes, using artificial neural networks trained on eddy covariance data, multiple soil moisture datasets and remotely sensed greenness.</p>  <p>This reveals substantial impacts of soil moisture alone that reduce GPP by up to 40% at sites located in sub\uffe2\uff80\uff90humid, semi\uffe2\uff80\uff90arid or arid regions. For sites in relatively moist climates, we find, paradoxically, a muted fLUE response to drying soil, but reduced fLUE under wet conditions.</p>  <p>fLUE identifies substantial drought impacts that are not captured when relying solely on VPD and greenness changes and, when seasonally recurring, are missed by traditional, anomaly\uffe2\uff80\uff90based drought indices. Counter to common assumptions, fLUE reductions are largest in drought\uffe2\uff80\uff90deciduous vegetation, including grasslands. Our results highlight the necessity to account for soil moisture limitation in terrestrial primary productivity data products, especially for drought\uffe2\uff80\uff90related assessments.</p>  </p>", "keywords": ["Time Factors", "550", "vapour pressure deficit", "Light", "Vapor Pressure", "Rain", "Eddy covariance", "02 engineering and technology", "01 natural sciences", "630", "Ecological applications", "Soil", "drought impacts", "Vapour pressure deficit", "Photosynthesis", "drought impacts; eddy covariance; gross primary productivity (GPP); light use efficiency; photosynthesis; soil moisture; standardized precipitation index; vapour pressure deficit (VPD)", "Plant biology", "2. Zero hunger", "Light use efficiency", "Ecology", "gross primary productivity (GPP)", "Biological Sciences", "6. Clean water", "Droughts", "Climate change impacts and adaptation", "gross primary productivity", "Neural Networks", "Plant Biology & Botany", "Drought impacts", "vapour pressure deficit (VPD)", "0207 environmental engineering", "Computer", "eddy covariance", "light use efficiency", "Ecosystem", "0105 earth and related environmental sciences", "photosynthesis", "Agricultural and Veterinary Sciences", "Research", "Gross primary productivity ()", "Water", "Humidity", "Plant Transpiration", "06 Biological Sciences", "15. Life on land", "standardized precipitation index", "13. Climate action", "vapour pressure deficit (VPD", "Standardized precipitation index", "07 Agricultural And Veterinary Sciences", "Soil moisture", "Neural Networks", " Computer", "soil moisture", "Climate Change Impacts and Adaptation", "Environmental Sciences"]}, "links": [{"href": "https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.15123"}, {"href": "https://escholarship.org/content/qt3sb2745c/qt3sb2745c.pdf"}, {"href": "https://doi.org/10.1111/nph.15123"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nph.15123", "name": "item", "description": "10.1111/nph.15123", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nph.15123"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-31T00:00:00Z"}}, {"id": "10.5281/zenodo.3359707", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:20:42Z", "type": "Software", "title": "rpmodel v1.0.1", "description": "R package at initial submission to GMD Discussions.", "keywords": ["Photosynthesis", " Gross primary productivity modelling"], "contacts": [{"organization": "Benjamin Stocker", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3359707"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3359707", "name": "item", "description": "10.5281/zenodo.3359707", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3359707"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-04T00:00:00Z"}}, {"id": "10.5281/zenodo.3924255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:20:45Z", "type": "Software", "title": "rpmodel v1.0.1", "description": "R package at initial submission to GMD Discussions.", "keywords": ["Photosynthesis", " Gross primary productivity modelling"], "contacts": [{"organization": "Stocker, Benjamin", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3924255"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3924255", "name": "item", "description": "10.5281/zenodo.3924255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3924255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-04T00:00:00Z"}}, {"id": "10044/1/59029", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:21:36Z", "type": "Journal Article", "created": "2018-03-31", "title": "Quantifying soil moisture impacts on light use efficiency across biomes", "description": "Summary<p>   <p>Terrestrial primary productivity and carbon cycle impacts of droughts are commonly quantified using vapour pressure deficit (VPD) data and remotely sensed greenness, without accounting for soil moisture. However, soil moisture limitation is known to strongly affect plant physiology.</p>  <p>Here, we investigate light use efficiency, the ratio of gross primary productivity (GPP) to absorbed light. We derive its fractional reduction due to soil moisture (fLUE), separated from VPD and greenness changes, using artificial neural networks trained on eddy covariance data, multiple soil moisture datasets and remotely sensed greenness.</p>  <p>This reveals substantial impacts of soil moisture alone that reduce GPP by up to 40% at sites located in sub\uffe2\uff80\uff90humid, semi\uffe2\uff80\uff90arid or arid regions. For sites in relatively moist climates, we find, paradoxically, a muted fLUE response to drying soil, but reduced fLUE under wet conditions.</p>  <p>fLUE identifies substantial drought impacts that are not captured when relying solely on VPD and greenness changes and, when seasonally recurring, are missed by traditional, anomaly\uffe2\uff80\uff90based drought indices. Counter to common assumptions, fLUE reductions are largest in drought\uffe2\uff80\uff90deciduous vegetation, including grasslands. Our results highlight the necessity to account for soil moisture limitation in terrestrial primary productivity data products, especially for drought\uffe2\uff80\uff90related assessments.</p>  </p", "keywords": ["Time Factors", "550", "vapour pressure deficit", "Light", "Vapor Pressure", "Rain", "Eddy covariance", "02 engineering and technology", "01 natural sciences", "630", "Ecological applications", "Soil", "drought impacts", "Vapour pressure deficit", "Photosynthesis", "drought impacts; eddy covariance; gross primary productivity (GPP); light use efficiency; photosynthesis; soil moisture; standardized precipitation index; vapour pressure deficit (VPD)", "Plant biology", "2. Zero hunger", "Light use efficiency", "Ecology", "gross primary productivity (GPP)", "Biological Sciences", "6. Clean water", "Droughts", "Climate change impacts and adaptation", "gross primary productivity", "Neural Networks", "Plant Biology & Botany", "Drought impacts", "vapour pressure deficit (VPD)", "0207 environmental engineering", "Computer", "eddy covariance", "light use efficiency", "Ecosystem", "0105 earth and related environmental sciences", "photosynthesis", "Agricultural and Veterinary Sciences", "Research", "Gross primary productivity ()", "Water", "Humidity", "Plant Transpiration", "06 Biological Sciences", "15. Life on land", "standardized precipitation index", "13. Climate action", "vapour pressure deficit (VPD", "Standardized precipitation index", "07 Agricultural And Veterinary Sciences", "Soil moisture", "Neural Networks", " Computer", "soil moisture", "Climate Change Impacts and Adaptation", "Environmental Sciences"]}, "links": [{"href": "https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.15123"}, {"href": "https://escholarship.org/content/qt3sb2745c/qt3sb2745c.pdf"}, {"href": "https://doi.org/10044/1/59029"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/59029", "name": "item", "description": "10044/1/59029", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/59029"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-31T00:00:00Z"}}, {"id": "7dd3e632-919c-4ab3-9a3e-8c5785292dc4", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-17.3, -34.6], [-17.3, 38.2], [51.1, 38.2], [51.1, -34.6], [-17.3, -34.6]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2023-01-25T10:45:49", "language": "eng", "title": "Gross Primary Productivity (GPP) - ClimAfrica WP3", "description": "Monthly Gross Primary Productivity (GPP) of natural vegetation (no cropland). \nUnit: kgC/m\u00b2/s\nClimate Input: MIROC5, CanESM, GFDL\nDownscaling method/bias correction: RCA3, QMBC, SOMD\nCO2 scenarios: B1 transient CO2, B2 constant CO2 at 1960 level (316.27ppm)\nLand use: land use is kept constant at the year 2000 distribution. \nTemporal Extent: 1961-2099 (monthly resolution)\nSpatial Extent: Africa\nSpatial Resolution: 0.5\u00b0 grid cell\n\nThis data set has been produced in the framework of the \"Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)\" project, Work Package 3 (WP3). WP3 aims at quantifying the sensitivity of vegetation productivity and water resources to seasonal, inter-annual and decadal variability in weather and climate, using impact models on agriculture and water.\nThe available models in combination with developed datasets of land use and climate from WP2 were used to simulate crop yield and water resources. Simulations using short-term scenarios of future climate change (5-10 years) were used to identify regional differences in the climate sensitivity of crop production etc. Scenarios for the African agricultural/pastoral sectors were also made using longer model runs.\nFinally, tradeoffs and areas of risk and vulnerability were identified in relation to:\n\n- Water-related hazards;\n\n- Agricultural and pastoral performance;\n\n- Soil degradation.\n\nMore information on ClimAfrica project is provided in the Supplemental Information section of this metadata.", "formats": [{"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["climate", "climate impact", "natural vegetation", "Gross Primary Productivity", "GPP", "WP3", "ClimAfrica", "Tag_climafrica", "Africa"], "contacts": [{"name": "Jonas Jagermeyr", "organization": "Potsdam Institute for Climate Impact Research (PIK)", "position": "Researcher", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "jonas.jaegermeyr@pik-potsdam.de"}], "addresses": [{"deliveryPoint": ["Telegrafenberg 31"], "city": "Potsdam", "administrativeArea": null, "postalCode": "14473", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Potsdam Institute for Climate Impact Research (PIK)", "roles": ["creator"]}], "distancevalue": "0.5", "distanceuom": "Degree", "edition": "First"}, "links": [{"href": "ftp://ftp.bgc-jena.mpg.de/pub/outgoing/ClimAfrica/Results/LPJmL/SOMD/ClimAf_1_1961_2099_lpjm_can_wfdei_somd_B2_gppxx_mon_cell.nc.gz", "description": "DOWNLOAD - Gross Primary Productivity (GPP)", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": null}, {"href": "https://www.fao.org/3/i7040e/i7040e.pdf", "name": "Scenarios of major production systems in Africa", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://www.cmcc.it/projects/climafrica-climate-change-predictions-in-sub-saharian-africa-impacts-and-adaptations", "name": "Climafrica Website - Climate Change Predictions In Sub-Saharan Africa: Impacts And Adaptations", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "7dd3e632-919c-4ab3-9a3e-8c5785292dc4", "name": "item", "description": "7dd3e632-919c-4ab3-9a3e-8c5785292dc4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/7dd3e632-919c-4ab3-9a3e-8c5785292dc4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1961-01-01T00:00:00Z", "2099-12-31T00:00:00Z"]}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=gross+primary+productivity&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=gross+primary+productivity&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=gross+primary+productivity&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=gross+primary+productivity&offset=9", "hreflang": "en-US"}], "numberMatched": 9, "numberReturned": 9, "distributedFeatures": [], "timeStamp": "2026-09-21T07:43:33.885352Z"}