{"type": "FeatureCollection", "features": [{"id": "10.1111/gcb.13268", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:21Z", "type": "Journal Article", "created": "2016-03-06", "title": "Using models to guide field experiments: a priori predictions for the CO 2 response of a nutrient- and water-limited native Eucalypt woodland", "description": "Abstract<p>The response of terrestrial ecosystems to rising atmospheric CO2 concentration (Ca), particularly under nutrient\uffe2\uff80\uff90limited conditions, is a major uncertainty in Earth System models. The Eucalyptus Free\uffe2\uff80\uff90Air CO2 Enrichment (EucFACE) experiment, recently established in a nutrient\uffe2\uff80\uff90 and water\uffe2\uff80\uff90limited woodland presents a unique opportunity to address this uncertainty, but can best do so if key model uncertainties have been identified in advance. We applied seven vegetation models, which have previously been comprehensively assessed against earlier forest FACE experiments, to simulate a priori possible outcomes from EucFACE. Our goals were to provide quantitative projections against which to evaluate data as they are collected, and to identify key measurements that should be made in the experiment to allow discrimination among alternative model assumptions in a postexperiment model intercomparison. Simulated responses of annual net primary productivity (NPP) to elevated Ca ranged from 0.5 to 25% across models. The simulated reduction of NPP during a low\uffe2\uff80\uff90rainfall year also varied widely, from 24 to 70%. Key processes where assumptions caused disagreement among models included nutrient limitations to growth; feedbacks to nutrient uptake; autotrophic respiration; and the impact of low soil moisture availability on plant processes. Knowledge of the causes of variation among models is now guiding data collection in the experiment, with the expectation that the experimental data can optimally inform future model improvements.</p>", "keywords": ["[SDE] Environmental Sciences", "550", "[SDV]Life Sciences [q-bio]", "Climate Change", "ecosystem model", "drought", "Forests", "551", "01 natural sciences", "Carbon Cycle", "XXXXXX - Unknown", "phosphorus", "Photosynthesis", "Ecosystem", "0105 earth and related environmental sciences", "580", "2. Zero hunger", "Eucalyptus", "droughts", "carbon dioxide", "Water", "Carbon Dioxide", "15. Life on land", "Eucalyptus tereticornis", "[SDV] Life Sciences [q-bio]", "13. Climate action", "[SDE]Environmental Sciences", "ecosystems"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.13268"}, {"href": "https://doi.org/10.1111/gcb.13268"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.13268", "name": "item", "description": "10.1111/gcb.13268", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.13268"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-09T00:00:00Z"}}, {"id": "10.1111/j.1365-2486.2012.02689.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:35Z", "type": "Journal Article", "created": "2012-03-08", "title": "Towards An Integrated Global Framework To Assess The Impacts Of Land Use And Management Change On Soil Carbon: Current Capability And Future Vision", "description": "Abstract<p>Intergovernmental Panel on Climate Change (IPCC) Tier 1 methodologies commonly underpin project\uffe2\uff80\uff90scale carbon accounting for changes in land use and management and are used in frameworks for Life Cycle Assessment and carbon footprinting of food and energy crops. These methodologies were intended for use at large spatial scales. This can introduce error in predictions at finer spatial scales. There is an urgent need for development and implementation of higher tier methodologies that can be applied at fine spatial scales (e.g. farm/project/plantation) for food and bioenergy crop greenhouse gas (GHG) accounting to facilitate decision making in the land\uffe2\uff80\uff90based sectors. Higher tier methods have been defined by IPCC and must be well evaluated and operate across a range of domains (e.g. climate region, soil type, crop type, topography), and must account for land use transitions and management changes being implemented. Furthermore, the data required to calibrate and drive the models used at higher tiers need to be available and applicable at fine spatial resolution, covering the meteorological, soil, cropping system and management domains, with quantified uncertainties. Testing the reliability of the models will require data either from sites with repeated measurements or from chronosequences. We review current global capability for estimating changes in soil carbon at fine spatial scales and present a vision for a framework capable of quantifying land use change and management impacts on soil carbon, which could be used for addressing issues such as bioenergy and biofuel sustainability, food security, forest protection, and direct/indirect impacts of land use change. The aim of this framework is to provide a globally accepted standard of carbon measurement and modelling appropriate for GHG accounting that could be applied at project to national scales (allowing outputs to be scaled up to a country level), to address the impacts of land use and land management change on soil carbon.</p>", "keywords": ["land use change", "Environmental Impact Assessment", "550", "ecosystem model", "Carbon Sequestration Science", "01 natural sciences", "7. 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Climate action", "0401 agriculture", " forestry", " and fisheries", "biodiversity conservation", "environment", "Environmental Sciences"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-2486.2012.02689.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.1365-2486.2012.02689.x", "name": "item", "description": "10.1111/j.1365-2486.2012.02689.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2486.2012.02689.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-04-09T00:00:00Z"}}, {"id": "10.3389/fevo.2023.1106461", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:40Z", "type": "Journal Article", "created": "2023-03-20", "title": "Primary production in subsidized green-brown food webs", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Ecosystems worldwide receive large amounts of nutrients from both natural processes and human activities. While direct subsidy effects on primary production are relatively well-known (the green food web), the indirect effects of subsidies on producers as mediated by the brown food web and predators are poorly considered. With a dynamical green-brown food web model, parameterized using empirical estimates from the literature, we illustrate the effect of organic and inorganic nutrient subsidies on net primary production (NPP) (i.e., after removing loss to herbivory) in two idealized ecosystems\u2014one terrestrial and one aquatic. We find that nutrient subsidies increase net primary production, an effect that saturates with increasing subsidies. Changing the quality of subsidies from inorganic to organic tends to increase net primary production in terrestrial ecosystems, but less often so in aquatic ecosystems. This occurs when organic nutrient inputs promote detritivores in the brown food web, and hence predators that in turn regulate herbivores, thereby promoting primary production. This previously largely overlooked effect is further enhanced by ecosystem properties such as fast decomposition and low rates of nutrient additions and demonstrates the importance of nutrient subsidy quality on ecosystem functioning.</p></article>", "keywords": ["2. Zero hunger", "Ekologi", "ecosystem modeling", "food web", "Ecology", "nutrient subsidy", "Evolution", "organic fertilization", "15. Life on land", "551", "trophic cascade", "13. Climate action", "ecosystem function", "QH359-425", "QH540-549.5", "primary production"], "contacts": [{"organization": "Zelnik, Yuval, Manzoni, Stefano, Bommarco, Riccardo,", "roles": ["creator"]}]}, "links": [{"href": "https://pub.epsilon.slu.se/30719/1/zelnik-y-r-et-al-20230421.pdf"}, {"href": "https://doi.org/10.3389/fevo.2023.1106461"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Ecology%20and%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fevo.2023.1106461", "name": "item", "description": "10.3389/fevo.2023.1106461", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fevo.2023.1106461"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-20T00:00:00Z"}}, {"id": "10.5061/dryad.q2bvq83qx", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:37Z", "type": "Dataset", "created": "2023-07-14", "title": "Cropland management impacts on soil organic carbon stock changes in US croplands from 1990 to 2015", "description": "unspecifiedAny program or image processing software that is compatible with  GeoTIFF formats (e.g., ArcGIS).", "keywords": ["2. Zero hunger", "soil carbon sequestration", "13. Climate action", "FOS: Agricultural sciences", "cropland", "greenhouse gas mitigation", "15. 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To improve predictions of net carbon releases from thawing permafrost, we tested the sensitivity of a suite of model parameters. We analyzed the responses of ecosystem carbon balances to permafrost thaw by running site-level simulations at two long-term tundra ecological monitoring sites in Alaska: Eight Mile Lake (EML) and Imnavait Creek watershed (IMN). These sites are characterized by similar tussock tundra vegetation but differing soil drainage conditions and climate, IMN consists of well-drained soils, and EML has historically well-drained soils, however permafrost thaw has altered drainage conditions to wetter soils. Simulations were conducted at a 1km resolution, over a 1,000 km2 area (10x10 km square) centered on two long term ecological research sites in Alaska: Eight Mile Lake located in Interior Alaska (63.8900\u00b0 N, 149.2535\u00b0 W), and Imnavait creek watershed located on the northern foothills of the Brooks range (68\u00b037\u2032 N, 149\u00b018\u2032 W). Historical simulations are spanning the 2000 to 2015, and forced using climate simulations from the Climate Research Unit, time series 4.0. We ran 1,000 site level simulations for each model variable. The variables that are produced are gross primary productivity (GPP, in gC.m-2.m-1), net ecosystem exchange (NEE, gC.m-2.m-1), ecosystem respiration (RECO, gC/m2/m-1), active layer thickness (ALT, m), soil temperature (TLAYER,\u00b0C) at 5, 10, 40 cm depths, soil moisture (LWCLAYER, m-3/m-3) at 5, 10 cm depths, and snow depth (SNOWDEPTH, m), evapotransipiration(EET, mm/m2/time), potential evapotransipiration (PET, mm/m2/time), leaf area index (LAI, m2/m2), organic layer thickness (OLT, m). The data are stored as compiled csv files, with time as the index, and each model sample output stored in the columns. In addition, there is a postprocessing python script to demonstrate the step and workflow used to generate the individual csv files post processed from the raw model outputs stored as netcdfs.", "keywords": ["13. Climate action", "DVM-DOS-TEM", "arctic", "15. Life on land", "terrestrial ecosystem model", "permafrost"], "contacts": [{"organization": "Briones, Valeria, Genet, Helene, Jafarov, Elchin E.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7775786"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7775786", "name": "item", "description": "10.5281/zenodo.7775786", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7775786"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-27T00:00:00Z"}}, {"id": "10.7717/peerj.10707", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:44Z", "type": "Journal Article", "created": "2021-01-15", "title": "KEYLINK: towards a more integrative soil representation for inclusion in ecosystem scale models\u2014II: model description, implementation and testing", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>New knowledge on soil structure highlights its importance for hydrology and soil organic matter (SOM) stabilization, which however remains neglected in many wide used models. We present here a new model, KEYLINK, in which soil structure is integrated with the existing concepts on SOM pools, and elements from food web models, that is, those from direct trophic interactions among soil organisms. KEYLINK is, therefore, an attempt to integrate soil functional diversity and food webs in predictions of soil carbon (C) and soil water balances. We present a selection of equations that can be used for most models as well as basic parameter intervals, for example, key pools, functional groups\u2019 biomasses and growth rates. Parameter distributions can be determined with Bayesian calibration, and here an example is presented for food web growth rate parameters for a pine forest in Belgium. We show how these added equations can improve the functioning of the model in describing known phenomena. For this, five test cases are given as simulation examples: changing the input litter quality (recalcitrance and carbon to nitrogen ratio), excluding predators, increasing pH and changing initial soil porosity. These results overall show how KEYLINK is able to simulate the known effects of these parameters and can simulate the linked effects of biopore formation, hydrology and aggregation on soil functioning. Furthermore, the results show an important trophic cascade effect of predation on the complete C cycle with repercussions on the soil structure as ecosystem engineers are predated, and on SOM turnover when predation on fungivore and bacterivore populations are reduced. In summary, KEYLINK shows how soil functional diversity and trophic organization and their role in C and water cycling in soils should be considered in order to improve our predictions on C sequestration and C emissions from soils.</p></article>", "keywords": ["Soil matrix", "2. Zero hunger", "Soil organic matter", "Root Water Uptake", "Trophic cascades", "Ecosystem models", "Computational Biology", "04 agricultural and veterinary sciences", "15. Life on land", "12. Responsible consumption", "Soil food web", "13. Climate action", "Growth rates", "Soil structure", "0401 agriculture", " forestry", " and fisheries", "Ecosystem engineering", "Predator exclusion", "Hydrology", "Engineering sciences. Technology", "info:eu-repo/classification/ddc/610"]}, "links": [{"href": "https://peerj.com/articles/10707.pdf"}, {"href": "https://doi.org/10.7717/peerj.10707"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7717/peerj.10707", "name": "item", "description": "10.7717/peerj.10707", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7717/peerj.10707"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-15T00:00:00Z"}}, {"id": "10067/1760850151162165141", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:50Z", "type": "Journal Article", "created": "2021-01-15", "title": "KEYLINK: towards a more integrative soil representation for inclusion in ecosystem scale models\u2014II: model description, implementation and testing", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>New knowledge on soil structure highlights its importance for hydrology and soil organic matter (SOM) stabilization, which however remains neglected in many wide used models. We present here a new model, KEYLINK, in which soil structure is integrated with the existing concepts on SOM pools, and elements from food web models, that is, those from direct trophic interactions among soil organisms. KEYLINK is, therefore, an attempt to integrate soil functional diversity and food webs in predictions of soil carbon (C) and soil water balances. We present a selection of equations that can be used for most models as well as basic parameter intervals, for example, key pools, functional groups\u2019 biomasses and growth rates. Parameter distributions can be determined with Bayesian calibration, and here an example is presented for food web growth rate parameters for a pine forest in Belgium. We show how these added equations can improve the functioning of the model in describing known phenomena. For this, five test cases are given as simulation examples: changing the input litter quality (recalcitrance and carbon to nitrogen ratio), excluding predators, increasing pH and changing initial soil porosity. These results overall show how KEYLINK is able to simulate the known effects of these parameters and can simulate the linked effects of biopore formation, hydrology and aggregation on soil functioning. Furthermore, the results show an important trophic cascade effect of predation on the complete C cycle with repercussions on the soil structure as ecosystem engineers are predated, and on SOM turnover when predation on fungivore and bacterivore populations are reduced. In summary, KEYLINK shows how soil functional diversity and trophic organization and their role in C and water cycling in soils should be considered in order to improve our predictions on C sequestration and C emissions from soils.</p></article>", "keywords": ["Soil matrix", "2. Zero hunger", "Soil organic matter", "Root Water Uptake", "Trophic cascades", "Ecosystem models", "Computational Biology", "04 agricultural and veterinary sciences", "15. Life on land", "12. Responsible consumption", "Soil food web", "13. Climate action", "Growth rates", "Soil structure", "0401 agriculture", " forestry", " and fisheries", "Ecosystem engineering", "Predator exclusion", "Hydrology", "Engineering sciences. 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