Gramp Model Instance

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{
    "url": "/models/5",
    "family": "DNDC",
    "title": "Crop-DNDC",
    "description": "<p><p>Crop-DNDC is a process-orientated,\r\nagroecosystem model that integrated detailed crop growth algorithms with the\r\nDNDC soil biogeochemical model to better simulate carbon, nitrogen and water\r\ncycles.&nbsp; Crop-DNDC was developed at the\r\nCanada Center for Remote Sensing, Ottawa, and simulates crop growth through\r\ntracking physiological processes (such as phenology, leaf area index,\r\nphotosynthesis, respiration, assimilate allocation, rooting processes and\r\nnitrogen uptake) along with water stress and nitrogen stress. Thus, the model,\r\nwhich operates primarily on a daily time-step can simultaneously predict crop\r\ngrowth and soil biochemical dynamics.&nbsp;\r\nThe original DNDC model was developed to simulate nitrous oxide (N2O)\r\nemissions from annual cropping systems in the United States (Li et al., 1992). </p>\r\n<p>Zhang et al. (2002) describe the model as\r\nconsisting of three interacting submodels: a climatic submodel calculates water\r\ndynamics and soil temperature profile; a crop submodel simulated crop\r\nphenological development, photosynthesis, respiration, leaf area index,\r\nassimilate allocation, rooting processes and nitrogen uptake; and a soil\r\nbiogeochemistry submodel predicts decomposition, nitrification, denitrification\r\nand trace gas emissions.&nbsp; The soil\r\nprofile is divided into multiple layers, where analysis is conducted layer by\r\nlayer, and crop residue is incorporated into the soil at the end of each\r\ngrowing season.&nbsp; Further information on\r\nthe submodels can be found in Zhang et al. (2002).&nbsp; Required input data includes climate drivers,\r\nsoil features, crop parameters and farming practices.&nbsp; The output includes crop production, soil\r\ncarbon and nitrogen pools and fluxes, nitrate leaching and trace gas emissions.</p>\r\n<p>Validation was focused on the newly\r\ndeveloped parts of the Crop-DNDC model using 4 crop experiments (3 from China\r\nand 1 from the US) which included field measurements of soil moisture, leaf\r\narea index, crop biomass and nitrogen content. The Crop-DNDC model results were\r\nshown to capture the patterns of soil moisture, crop growth and soil carbon and\r\nnitrogen dynamics (Zhang et al., 2002).&nbsp;\r\nIn addition, sensitivity analysis by Zhang et al. (2002) revealed that\r\nmodelled results in crop yield, soil carbon dynamics and trace gas emissions\r\nwere sensitive to climate conditions, atmospheric carbon dioxide (CO2)\r\nconcentration and various farming practises. Since the model is able to\r\nsimulate crop yields, soil carbon sequestration and trace gas emissions it can\r\npotentially be used for predicting the impacts of alternative management\r\nstrategies or climate change on agricultural production and environmental\r\nsafety (Zhang et al., 2002).</p>\r\n<p>Much of the functionality in Crop-DNDC has\r\nbeen incorporated into the latest version of DNDC (DNDC9.5, 2011).&nbsp;</p></p>",
    "keywords": "Crop, Model, Soil Biogeochemistry, Sustainable Agriculture",
    "principal_authors": "Yu Zhang, Changsheng Li, Xiuji Zhaou, Berrien Moore III.",
    "contact_name": "Yu Zhang",
    "contact_email": "yu.zhang@ccrs.nrcan.gc.ca",
    "organization": "Environmental Monitoring Section, Canada Center for Remote Sensing, Ottawa, Canada",
    "latest_version": "Superseded by DNDC9.5 (2011) ",
    "website": "",
    "language": "Turbo C + +",
    "systems_supported": "",
    "source_code_available": "",
    "model_extended_family": "UK-DNDC; NZ-DNDC; LANDSCAPE DNDC; DNDC-EUROPE; FOREST-DNDC-TROPICA; DNDC-RICE;",
    "sectors": "Agriculture, Cropping",
    "submitted_by": "",
    "reference_url": "",
    "published_on": "2002-07-01",
    "lft": 38,
    "rght": 49,
    "tree_id": 1,
    "level": 1,
    "parent": "http://gramp.ags.io/api/models/2/?format=api"
}