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Given the potential role of vegetation in controlling water pollution by trapping clay particles in the landscape, changes are also made to the way the model deals with sediment deposition and to allow the model to incorporate particle-size selectivity in the processes of erosion, transport and deposition. Vegetation effects are described in relation to percentage canopy cover, percentage ground cover, plant height, effective hydrological depth, density of plant stems and stem diameter. Deposition is modelled through a particle fall number, which takes account of particle settling velocity, flow velocity, flow depth and slope length. The detachment, transport and deposition of soil particles are simulated separately for clay, silt and sand. Average linear sensitivity analysis shows that the revised model behaves rationally. For bare soil conditions soil loss predictions are most sensitive to changes in rainfall and soil parameters, but with a vegetation cover plant parameters become more important than soil parameters. Tests with the model using field measurements under a range of slope, soil and crop covers from Bedfordshire and Cambridgeshire, UK, give good predictions of mean annual soil loss. Regression analysis of predicted against observed values yields an intercept value close to zero and a line slope close to 1\u00b70, with a coefficient of efficiency of 0\u00b781 over a range of values from zero to 38\u00b76 t ha\u22121. Copyright \u00a9 2007 John Wiley & Sons, Ltd.", "formats": [{"name": "R package"}], "keywords": ["Global", "model", "Crop"], "contacts": [{"name": "R. P. C. Morgan, J. H. Duzant", "organization": null, "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "None", "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}]}, "links": [{"href": "https://CRAN.R-project.org/package=DMMF", "name": "CRAN R Package", "protocol": "R package", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "10.1002-esp.1530", "name": "item", "description": "10.1002-esp.1530", "href": "https://lschub.kalro.org/cat/collections/metadata:main/items/10.1002-esp.1530"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://lschub.kalro.org/cat/collections/metadata:main"}], "time": {"date": "2023-07-07T00:00:00Z"}}, {"id": "10.1007-978-94-017-3624-4_8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope", "concepts": [{"id": "Global"}]}, {"scheme": "https://lsc-hubs.org/categories/", "concepts": [{"id": "Crop"}]}], "updated": "2023-07-07", "type": "model", "language": "english", "externalIds": [{"value": "https://doi.org/10.1007/978-94-017-3624-4_8"}], "title": "Decision support system for agrotechnology transfer (DSSAT v3)", "description": "Agricultural decision makers at all levels need an increasing amount of information to better understand the possible outcomes of their decisions to help them develop plans and policies that meet their goals. An international team of scientists developed a decision support system for agrotechnology transfer (DSSAT) to estimate production, resource use, and risks associated with different crop production practices. The DSSAT is a microcomputer software package that contains crop-soil simulation models, data bases for weather, soil, and crops, and strategy evaluation programs integrated with a \u2018shell\u2019 program which is the main user interface. In this paper, an overview of the DSSAT is given along with rationale for its design and its main limitations. Concepts for using the DSSAT in spatial decision support systems (for site-specific farming, farm planning, and regional policy) are presented. DSSAT provides a framework for scientific cooperation through research to enhance its capabilities and apply it to research questions. It also has considerable potential to help decision makers by reducing the time and human resources required for analyzing complex alternative decisions.", "formats": [{"name": "Website"}, {"name": "Git repository"}], "keywords": ["Global", "models", "decision support system", "DSSAT", "sustainability", "technology transfer", "risk management", "Crop"], "contacts": [{"name": "J. W. Jones, G. Y. Tsuji, G. Hoogenboom, L. A. Hunt, P. K. Thornton, P. W. Wilkens, D. T. Imamura, W. T. Bowen & U. Singh", "organization": "Department of Agricultural and Biological Engineering, University of Florida", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": ["P.O. 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Its declining trends can be usually understood as land degradation. LP is calculated using the Land Productivity Dynamics (LPD) approach, first developed by Ivits and Cherlet (2013). The LPD approach uses phenological and productivity variables derived from time series of remote sensed imagery, particularly the normalized difference vegetation index (NDVI), to estimate ecosystem dynamics and change. LPD is the methodological basis of the LPDynR package. It is based on a combined assessment of two sources of information, as seen in Figure 1. On the one hand, the first layer is the Long Term Change Map and, in general terms, it shows the tendency of change of land productivity (positive or negative) and the effect that this tendency might have had on a particular original point after a certain period of time. On the other hand, the second layer is the Current Status Map, which provides information on the current efficiency levels of vegetation on the productivity or, in other words, the current level of land productivity in relation to its potential. Further explanations for both branches can be found in this paper. The final result of the indicator is a categorical map with 5 classes of land productivity dynamics, ranging from declining to increasing productivity.", "formats": [{"name": "sourcecode"}], "keywords": ["Global"], "contacts": [{"name": "Xavier Rotllan-Puig, Eva Ivits, Michael Cherlet", "organization": "Joint Research Center", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": "Ispra", "administrativeArea": null, "postalCode": null, "country": "Italy"}], "links": [{"href": {"url": "https://joint-research-centre.ec.europa.eu/", "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}], "themes": [{"scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope", "concepts": [{"id": "Global"}]}]}, "links": [{"href": "https://github.com/xavi-rp/LPDynR", "name": "github", "protocol": "sourcecode", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "10.1016-j.ecolind.2021.108386", "name": "item", "description": "10.1016-j.ecolind.2021.108386", "href": "https://lschub.kalro.org/cat/collections/metadata:main/items/10.1016-j.ecolind.2021.108386"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://lschub.kalro.org/cat/collections/metadata:main"}], "time": {"date": "2025-03-06T00:00:00Z"}}, {"id": "10.1111-j.1752-1688.1998.tb05961.x", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope", "concepts": [{"id": "Global"}]}, {"scheme": "https://lsc-hubs.org/categories/", "concepts": [{"id": "Crop"}]}], "updated": "2023-07-07", "type": "model", "language": "english", "externalIds": [{"value": "https://doi.org/10.1111/j.1752-1688.1998.tb05961.x"}], "title": "SWAT (Soil and Water Assessment Tool)", "description": "A conceptual, continuous time model called SWAT (Soil and Water Assessment Tool) was developed to assist water resource managers in assessing the impact of management on water supplies and nonpoint source pollution in watersheds and large river basins. The model is currently being utilized in several large area projects by EPA, NOAA, NRCS and others to estimate the off-site impacts of climate and management on water use, non-point source loadings, and pesticide contamination. Model development, operation, limitations, and assumptions are discussed and components of the model are described. In Part II, a GIS input/output interface is presented along with model validation on three basins within the Upper Trinity basin in Texas.", "formats": [{"name": "Website"}, {"name": "Git repository"}], "keywords": ["Global", "Crop"], "contacts": [{"name": "J. G. Arnold, R. Srinivasan, R. S. Muttiah, J. R. 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Concepts and Underlying Principles", "description": "This article introduces the FAO crop model AquaCrop. It simulates attainable yields of major herbaceous crops as a function of water consumption under rainfed, supplemental, deficit, and full irrigation conditions. The growth engine of AquaCrop is water-driven, in that transpiration is calculated first and translated into biomass using a conservative, crop-specific parameter: the biomass water productivity, normalized for atmospheric evaporative demand and air CO2 concentration. The normalization is to make AquaCrop applicable to diverse locations and seasons. Simulations are performed on thermal time, but can be on calendar time, in daily time-steps. The model uses canopy ground cover instead of leaf area index (LAI) as the basis to calculate transpiration and to separate out soil evaporation from transpiration. Crop yield is calculated as the product of biomass and harvest index (HI). At the start of yield formation period, HI increases linearly with time after a lag phase, until near physiological maturity. Other than for the yield, there is no biomass partitioning into the various organs. Crop responses to water deficits are simulated with four modifiers that are functions of fractional available soil water modulated by evaporative demand, based on the differential sensitivity to water stress of four key plant processes: canopy expansion, stomatal control of transpiration, canopy senescence, and HI. The HI can be modified negatively or positively, depending on stress level, timing, and canopy duration. AquaCrop uses a relatively small number of parameters (explicit and mostly intuitive) and attempts to balance simplicity, accuracy, and robustness. The model is aimed mainly at practitioner-type end-users such as those working for extension services, consulting engineers, governmental agencies, nongovernmental organizations, and various kinds of farmers associations. It is also designed to fit the need of economists and policy specialists who use simple models for planning and scenario analysis.", "formats": [{"name": "Website"}, {"name": "Git repository"}], "keywords": ["Global", "model", "Crop"], "contacts": [{"name": "Pasquale Steduto, Theodore C. Hsiao, Dirk Raes, Elias Fereres", "organization": "FAO", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "None", "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}]}, "links": [{"href": "https://www.fao.org/aquacrop/software", "name": "Releases", "protocol": "Website", "rel": null}, {"href": "https://github.com/KUL-RSDA/AquaCrop", "name": "Sources", "protocol": "Git repository", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "10.2134-agronj2008.0139s", "name": "item", "description": "10.2134-agronj2008.0139s", "href": "https://lschub.kalro.org/cat/collections/metadata:main/items/10.2134-agronj2008.0139s"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://lschub.kalro.org/cat/collections/metadata:main"}], "time": {"date": "2023-07-07T00:00:00Z"}}, {"id": "S.P.I.04.73", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope", "concepts": [{"id": "Global"}]}, {"scheme": "https://lsc-hubs.org/categories/", "concepts": [{"id": "Crop"}]}], "updated": "2004-01-01", "type": "model", "language": "english", "externalIds": [{"value": "https://www.researchgate.net/publication/265357850_Pan-European_soil_erosion_risk_assessment_the_PESERA_Map_Version_1_October_2003"}], "title": "Pan-European soil erosion risk assessment, The PESERA map", "description": "Soil erosion is a natural process, occurring over geologic time, and indeed it is a process \nthat is essential for soil formation. \nIn the context of environmental protection, most concerns about erosion are related to \naccelerated erosion, where the natural rate has been significantly increased mostly by \nhuman activity. Accelerated erosion by running water has been identified as the most \nsevere threat to soil in Europe. \nSevere erosion is commonly associated with the development of temporary or permanently \neroded channels or gullies that can fragment farmland. Such features are often the only \nvisible signs. \nIn a period of rapid change in both climate and land use, and/or in response to revised \nagricultural policies and international markets, it is very important to be able to assess the \nstate of soil erosion at a European level, using an objective methodology.", "formats": [{"name": "Website"}], "keywords": ["Global", "model", "Crop"], "contacts": [{"name": "Mike Kirkby", "organization": "University of Leeds", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}]}, "links": [{"href": "https://esdac.jrc.ec.europa.eu/content/pan-european-soil-erosion-risk-assessment-pesera", "name": "Releases", "protocol": "Website", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "S.P.I.04.73", "name": "item", "description": "S.P.I.04.73", "href": "https://lschub.kalro.org/cat/collections/metadata:main/items/S.P.I.04.73"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://lschub.kalro.org/cat/collections/metadata:main"}], "time": {"date": "2004-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://lschub.kalro.org/cat/collections/metadata:main/items?type=model&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://lschub.kalro.org/cat/collections/metadata:main/items?type=model&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://lschub.kalro.org/cat/collections/metadata:main", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://lschub.kalro.org/cat/collections/metadata:main/items?type=model&offset=10", "hreflang": "en-US"}], "numberMatched": 11, "numberReturned": 10, "distributedFeatures": []}