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{
    "url": "/models/12",
    "family": "DNDC",
    "title": "Manure-DNDC",
    "description": "<p><p>Manure-DNDC is a process based model which\r\ndescribes manure organic matter turnover and gas emissions, where the relations\r\nbetween environmental factors and reactions such as decomposition, hydrolysis,\r\nnitrification, volatilisation etc are incorporated in a computable framework in\r\norder to estimate carbon dioxide, nitrous oxide and ammonia emissions. </p>\r\n<p>Each component on a farm where manure is\r\nstored and emissions emanate (e.g., feedlot, lagoon, compost, anaerobic digester\r\nand cropping field) can be selected and integrated in the model to describe the\r\nfacilities on any given farm. The variations in environmental factors in each\r\nfacility drive the biochemical reactions (Li et al., 2012) and since the model\r\nis based upon thermodynamic principles and chemical reaction kinetics it can be\r\napplied to a variety of livestock facilities as well as cultivated soils.&nbsp; Manure-DNDC requires livestock herd, farm\r\nfacility specifications, daily weather,&nbsp;\r\nsoil and manure management practise data to be inputted to the\r\nmodel.&nbsp; It runs at a daily time-step for\r\nat least one year, where daily and annual pools and fluxes of C, N, P and water\r\nare outputted.</p>\r\n<p>In 2012, Li et al. published research in\r\nwhich datasets of air emissions from six US farms and one Scottish pasture were\r\nused to verify the model with sensitivity analysis showing that Manure-DNDC is\r\nable to cope with the complexity simulating air emissions from livestock\r\nfarms.&nbsp; The model results showed that\r\nreduction in greenhouse gas emissions by 30% and ammonia emissions by 36% was\r\npotentially possible on a New York dairy farm, through a combination in changes\r\nin feed quality, planted crop type and lagoon coverage.</p>\r\n<p>Further development of Manure-DNDC will\r\nconsider additional functionality to address nutritional functions for\r\nlivestock, indirect emissions of GHG’s (transportation, feed import and\r\nmachinery) and an economic analysis.&nbsp;</p></p>",
    "keywords": "Ammonia Volatilization, DNDC, Farm Scale, Greenhouse Gases, Livestock Operation Systems, Manure Life Cycle",
    "principal_authors": "Changsheng Li, William Salas, Ruihong Zhang, Charley Krauter, Al Rotz, Frank Mitloehner.",
    "contact_name": "Changsheng Li",
    "contact_email": "changsheng.li@unh.edu",
    "organization": "Institute for the Study of Earth, Oceans, and Space, Morse Hall, University of New Hampshire, Durham, USA.",
    "latest_version": "Version 2",
    "website": "http://www.dndc.sr.unh.edu/",
    "language": "",
    "systems_supported": "",
    "source_code_available": "",
    "model_extended_family": "UK-DNDC; NZ-DNDC; LANDSCAPE-DNDC; DNDC-EUROPE; FOREST-DNDC-TROPICA; DNDC-RICE;",
    "sectors": "Agriculture, Livestock",
    "submitted_by": "",
    "reference_url": "",
    "published_on": "2012-07-01",
    "lft": 162,
    "rght": 177,
    "tree_id": 1,
    "level": 1,
    "parent": "http://gramp.ags.io/api/models/2/?format=api"
}

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Description

Manure-DNDC is a process based model which
describes manure organic matter turnover and gas emissions, where the relations
between environmental factors and reactions such as decomposition, hydrolysis,
nitrification, volatilisation etc are incorporated in a computable framework in
order to estimate carbon dioxide, nitrous oxide and ammonia emissions. 
Each component on a farm where manure is
stored and emissions emanate (e.g., feedlot, lagoon, compost, anaerobic digester
and cropping field) can be selected and integrated in the model to describe the
facilities on any given farm. The variations in environmental factors in each
facility drive the biochemical reactions (Li et al., 2012) and since the model
is based upon thermodynamic principles and chemical reaction kinetics it can be
applied to a variety of livestock facilities as well as cultivated soils.&nbsp; Manure-DNDC requires livestock herd, farm
facility specifications, daily weather,&nbsp;
soil and manure management practise data to be inputted to the
model.&nbsp; It runs at a daily time-step for
at least one year, where daily and annual pools and fluxes of C, N, P and water
are outputted.
In 2012, Li et al. published research in
which datasets of air emissions from six US farms and one Scottish pasture were
used to verify the model with sensitivity analysis showing that Manure-DNDC is
able to cope with the complexity simulating air emissions from livestock
farms.&nbsp; The model results showed that
reduction in greenhouse gas emissions by 30% and ammonia emissions by 36% was
potentially possible on a New York dairy farm, through a combination in changes
in feed quality, planted crop type and lagoon coverage.
Further development of Manure-DNDC will
consider additional functionality to address nutritional functions for
livestock, indirect emissions of GHG’s (transportation, feed import and
machinery) and an economic analysis.&nbsp;

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Content:

{
 "url": "/models/12",
 "family": "DNDC",
 "title": "Manure-DNDC",
 "description": "Manure-DNDC is a process based model which\r\ndescribes manure organic matter turnover and gas emissions, where the relations\r\nbetween environmental factors and reactions such as decomposition, hydrolysis,\r\nnitrification, volatilisation etc are incorporated in a computable framework in\r\norder to estimate carbon dioxide, nitrous oxide and ammonia emissions. \r\nEach component on a farm where manure is\r\nstored and emissions emanate (e.g., feedlot, lagoon, compost, anaerobic digester\r\nand cropping field) can be selected and integrated in the model to describe the\r\nfacilities on any given farm. The variations in environmental factors in each\r\nfacility drive the biochemical reactions (Li et al., 2012) and since the model\r\nis based upon thermodynamic principles and chemical reaction kinetics it can be\r\napplied to a variety of livestock facilities as well as cultivated soils.&nbsp; Manure-DNDC requires livestock herd, farm\r\nfacility specifications, daily weather,&nbsp;\r\nsoil and manure management practise data to be inputted to the\r\nmodel.&nbsp; It runs at a daily time-step for\r\nat least one year, where daily and annual pools and fluxes of C, N, P and water\r\nare outputted.\r\nIn 2012, Li et al. published research in\r\nwhich datasets of air emissions from six US farms and one Scottish pasture were\r\nused to verify the model with sensitivity analysis showing that Manure-DNDC is\r\nable to cope with the complexity simulating air emissions from livestock\r\nfarms.&nbsp; The model results showed that\r\nreduction in greenhouse gas emissions by 30% and ammonia emissions by 36% was\r\npotentially possible on a New York dairy farm, through a combination in changes\r\nin feed quality, planted crop type and lagoon coverage.\r\nFurther development of Manure-DNDC will\r\nconsider additional functionality to address nutritional functions for\r\nlivestock, indirect emissions of GHG’s (transportation, feed import and\r\nmachinery) and an economic analysis.&nbsp;",
 "keywords": "Ammonia Volatilization, DNDC, Farm Scale, Greenhouse Gases, Livestock Operation Systems, Manure Life Cycle",
 "principal_authors": "Changsheng Li, William Salas, Ruihong Zhang, Charley Krauter, Al Rotz, Frank Mitloehner.",
 "contact_name": "Changsheng Li",
 "contact_email": "changsheng.li@unh.edu",
 "organization": "Institute for the Study of Earth, Oceans, and Space, Morse Hall, University of New Hampshire, Durham, USA.",
 "latest_version": "Version 2",
 "website": "http://www.dndc.sr.unh.edu/",
 "language": "",
 "systems_supported": "",
 "source_code_available": "",
 "model_extended_family": "UK-DNDC; NZ-DNDC; LANDSCAPE-DNDC; DNDC-EUROPE; FOREST-DNDC-TROPICA; DNDC-RICE;",
 "sectors": "Agriculture, Livestock",
 "submitted_by": "",
 "reference_url": "",
 "published_on": "2012-07-01",
 "lft": 162,
 "rght": 177,
 "tree_id": 1,
 "level": 1,
 "parent": "http://gramp.ags.io/api/models/2/?format=api"
}

Gramp Model Instance