GRAMP API

GET /api/models/7/?format=api

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{
    "url": "/models/7",
    "family": "DNDC",
    "title": "DNDC-Europe",
    "description": "<p><p>The integrated DNDC-Europe model was\r\ndeveloped to assess the affect of agri-environmental policy on greenhouse gas\r\n(GHG) emissions. The large scale economic model for agriculture, CAPRI (Common\r\nAgricultural Policy Regional Impact Assessment) detailed in Britz (2005), was\r\nintegrated with the biogeochemical model DNDC (used DNDC v.8.9) to produce\r\nEuropean simulations of GHG emissions, carbon stock exchanges and nitrogen\r\nbudgets of soils.&nbsp; The modelling\r\nframework allows environmental impacts such as GHG emissions to be analysed in\r\nthe context of economic and social indicators provided by the CAPRI model.</p>\r\n<p>The CAPRI framework was developed to\r\ncapture the complex interaction between the agricultural market, environmental\r\npolicy, trade systems and the economic behaviours of farmers, consumers and\r\nprocessors at a regional scale and then provide a policy impact assessment on a\r\nglobal scale. The original DNDC model was developed to simulate nitrous oxide\r\n(N2O) emissions from annual cropping systems in the United States (Li et al.,\r\n1992). Linking the two models together required two key steps as outlined by\r\nLeip et al. (2008).&nbsp; Firstly spatially\r\nexplicit information from EU agricultural statistics covering, landuse, crop\r\nlevels and animal densities and climate were generated for a defined Homogenous\r\nSpatial Mapping Unit (HSMU).&nbsp; The HSMU\r\nwere defined based on information on soil, slope, landcover and administrative\r\nboundaries and encapsulated conditions that lead to similar GHG emissions in\r\nterms of agronomic practices and the environment. Secondly a database was\r\nprepared to drive DNDC with data for each HSMU to include, agricultural\r\nmanagement parameters such as fertilisation rates, irrigation, sowing dates\r\netc. in order to calculate soil nitrogen and carbon turnover.&nbsp; &nbsp;</p><br></p>",
    "keywords": "Agri-environmental policy, Agricultural Soil, Biogeochemistry, Carbon Sequestration, Economic Analysis, Environmental Impact, Environmental Impact Assessment, Estimation Method, Flux Measurement, Greenhouse Gas, Modeling, Nitrogen, Policy Analysis, Europe",
    "principal_authors": "A Leip, G Marchi, R Koeble, M Kempen, W Britz, C Li",
    "contact_name": "A Leip",
    "contact_email": "adrian.leip@jrc.it",
    "organization": "European Commission - DG Joint Research Centre, Institute for Envrionment and Sustainability, Ispar, Italy",
    "latest_version": "",
    "website": "http://afoludata.jrc.ec.europa.eu/index.php/models/detail/240",
    "language": "PC-cygwin and linux g++",
    "systems_supported": "Unix",
    "source_code_available": "On Request",
    "model_extended_family": "",
    "sectors": "Agriculture",
    "submitted_by": "",
    "reference_url": "",
    "published_on": "2008-07-01",
    "lft": 88,
    "rght": 99,
    "tree_id": 1,
    "level": 1,
    "parent": "http://gramp.ags.io/api/models/2/?format=api"
}

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Title

Description

The integrated DNDC-Europe model was
developed to assess the affect of agri-environmental policy on greenhouse gas
(GHG) emissions. The large scale economic model for agriculture, CAPRI (Common
Agricultural Policy Regional Impact Assessment) detailed in Britz (2005), was
integrated with the biogeochemical model DNDC (used DNDC v.8.9) to produce
European simulations of GHG emissions, carbon stock exchanges and nitrogen
budgets of soils.&nbsp; The modelling
framework allows environmental impacts such as GHG emissions to be analysed in
the context of economic and social indicators provided by the CAPRI model.
The CAPRI framework was developed to
capture the complex interaction between the agricultural market, environmental
policy, trade systems and the economic behaviours of farmers, consumers and
processors at a regional scale and then provide a policy impact assessment on a
global scale. The original DNDC model was developed to simulate nitrous oxide
(N2O) emissions from annual cropping systems in the United States (Li et al.,
1992). Linking the two models together required two key steps as outlined by
Leip et al. (2008).&nbsp; Firstly spatially
explicit information from EU agricultural statistics covering, landuse, crop
levels and animal densities and climate were generated for a defined Homogenous
Spatial Mapping Unit (HSMU).&nbsp; The HSMU
were defined based on information on soil, slope, landcover and administrative
boundaries and encapsulated conditions that lead to similar GHG emissions in
terms of agronomic practices and the environment. Secondly a database was
prepared to drive DNDC with data for each HSMU to include, agricultural
management parameters such as fertilisation rates, irrigation, sowing dates
etc. in order to calculate soil nitrogen and carbon turnover.&nbsp; &nbsp;

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Content:

{
 "url": "/models/7",
 "family": "DNDC",
 "title": "DNDC-Europe",
 "description": "The integrated DNDC-Europe model was\r\ndeveloped to assess the affect of agri-environmental policy on greenhouse gas\r\n(GHG) emissions. The large scale economic model for agriculture, CAPRI (Common\r\nAgricultural Policy Regional Impact Assessment) detailed in Britz (2005), was\r\nintegrated with the biogeochemical model DNDC (used DNDC v.8.9) to produce\r\nEuropean simulations of GHG emissions, carbon stock exchanges and nitrogen\r\nbudgets of soils.&nbsp; The modelling\r\nframework allows environmental impacts such as GHG emissions to be analysed in\r\nthe context of economic and social indicators provided by the CAPRI model.\r\nThe CAPRI framework was developed to\r\ncapture the complex interaction between the agricultural market, environmental\r\npolicy, trade systems and the economic behaviours of farmers, consumers and\r\nprocessors at a regional scale and then provide a policy impact assessment on a\r\nglobal scale. The original DNDC model was developed to simulate nitrous oxide\r\n(N2O) emissions from annual cropping systems in the United States (Li et al.,\r\n1992). Linking the two models together required two key steps as outlined by\r\nLeip et al. (2008).&nbsp; Firstly spatially\r\nexplicit information from EU agricultural statistics covering, landuse, crop\r\nlevels and animal densities and climate were generated for a defined Homogenous\r\nSpatial Mapping Unit (HSMU).&nbsp; The HSMU\r\nwere defined based on information on soil, slope, landcover and administrative\r\nboundaries and encapsulated conditions that lead to similar GHG emissions in\r\nterms of agronomic practices and the environment. Secondly a database was\r\nprepared to drive DNDC with data for each HSMU to include, agricultural\r\nmanagement parameters such as fertilisation rates, irrigation, sowing dates\r\netc. in order to calculate soil nitrogen and carbon turnover.&nbsp; &nbsp; ",
 "keywords": "Agri-environmental policy, Agricultural Soil, Biogeochemistry, Carbon Sequestration, Economic Analysis, Environmental Impact, Environmental Impact Assessment, Estimation Method, Flux Measurement, Greenhouse Gas, Modeling, Nitrogen, Policy Analysis, Europe",
 "principal_authors": "A Leip, G Marchi, R Koeble, M Kempen, W Britz, C Li",
 "contact_name": "A Leip",
 "contact_email": "adrian.leip@jrc.it",
 "organization": "European Commission - DG Joint Research Centre, Institute for Envrionment and Sustainability, Ispar, Italy",
 "latest_version": "",
 "website": "http://afoludata.jrc.ec.europa.eu/index.php/models/detail/240",
 "language": "PC-cygwin and linux g++",
 "systems_supported": "Unix",
 "source_code_available": "On Request",
 "model_extended_family": "",
 "sectors": "Agriculture",
 "submitted_by": "",
 "reference_url": "",
 "published_on": "2008-07-01",
 "lft": 88,
 "rght": 99,
 "tree_id": 1,
 "level": 1,
 "parent": "http://gramp.ags.io/api/models/2/?format=api"
}

Gramp Model Instance