Gramp Model Instance

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{
    "url": "/models/1",
    "family": "DNDC",
    "title": "Forest-DNDC",
    "description": "<p></p><p></p><p>Many forest management practices are\r\nbelieved to enhance carbon mitigation, such as the restoration of forested\r\nwetlands however there is a lack of long-term field studies.&nbsp; </p>\r\n<p>Forest-DNDC model which runs on a daily\r\ntime-step, links forest and soil processes and was developed to quantify carbon\r\nsequestration in and trace gas emissions from the forest ecosystem. In the core\r\nof Forest-DNDC, the PnET and DNDC models were linked together to exchange\r\ninformation on litter production, plant demand for water and N, availability of\r\nwater and N in soil. DNDC is a soil biogeochemical model that predicts soil\r\norganic matter turnover, N emissions and trace gas emissions but lacks the\r\ninclusion of detailed vegetation processes.&nbsp;\r\nPnET is a forest physiological model that predicts forest\r\nphotosynthesis, respiration, C allocation and litter production but contained\r\nlimited representation of soil processes.&nbsp;\r\nForest-DNDC also includes new features such as detailed nitrification\r\nprocesses, soil freezing and thawing, the forest litter layer and soil\r\nanaerobic biogeochemistry.&nbsp; </p>\r\n<p>Forest-DNDC requires input data on\r\nmeteorology, forest type and age, soil properties and forest management\r\npractises.&nbsp; For wetland applications\r\nwater table information is also required.&nbsp;\r\nThe output includes estimates of model forest growth, net ecosystem C\r\nexchange, nitrogen (N) leaching from the root zone, and fluxes of carbon\r\ndioxide (CO2), methane (CH4), nitrous oxide (N2O), nitric oxide (NO), nitrogen\r\ngas (N2) and ammonia (NH3) emissions on a daily and annual basis. Twenty forest\r\nsites in North America, Europe and Oceania have been used for validation&nbsp; </p>\r\n<p>Many forest management practices are\r\nbelieved to enhance carbon mitigation, such as the restoration of forested\r\nwetlands.&nbsp; In absence of long-term field\r\nstudy data, Forest-DNDC can be used as an alternative tool to address these\r\nissues.&nbsp;</p><br><p></p>\r\n",
    "keywords": "Carbon Sequestration, Forest Management, Process-based Model, Trace Gas Emissions, Wetland",
    "principal_authors": "Changsheng Li, Carl Tretting, Ge Sun, Steve McNulty and Klaus Butterbach-Bah",
    "contact_name": "Chansheng Li",
    "contact_email": "changsheng.li@unh.edu",
    "organization": "Institute for the Study of Earth, Oceans and Space, University of New Hampshire, United States",
    "latest_version": "Version 1.0",
    "website": "http://www.dndc.sr.unh.edu/",
    "language": "English",
    "systems_supported": "Microsoft Windows",
    "source_code_available": "",
    "model_extended_family": "UK-DNDC; NZ-DNDC; LANDSCAPE-DNDC; DNDC-EUROPE; FOREST-DNDC-DNDC-TROPICA; DNDC-RICE;",
    "sectors": "Agriculture, Forestry",
    "submitted_by": "Lucy Calrow",
    "reference_url": "http://www.dndc.sr.unh.edu/",
    "published_on": "2004-07-01",
    "lft": 118,
    "rght": 131,
    "tree_id": 1,
    "level": 1,
    "parent": "http://gramp.ags.io/api/models/2/?format=api"
}