GRAMP API

GET /api/models/104/?format=api

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{
    "url": "/models/104",
    "family": "DNDC",
    "title": "DNDC-CAN",
    "description": "<p><p>A Canadian version of DNDC (DNDC v.CAN) was\r\ndeveloped to simulate biogeochemical cycling in agro-ecosystems under cool climatic\r\nconditions and management representative of Canada. This model should also be applicable\r\nfor other temperate regions. It was first denoted as DNDC-CSW as conceived by\r\nKröbel et al. (2011) when investigating spring wheat growth in Canada using\r\nexperimental data from Swift Current, SK and St-Blaise, QC. &nbsp;A new sub-model was introduced into DNDC which\r\nincorporates an empirically derived spring wheat biomass curve, dynamic biomass\r\nfractioning, and dynamic plant C:N ratios. These developments helped improve\r\npredictions of spring wheat plant biomass, nitrogen content and inter-annual\r\nvariations in production in Canada. &nbsp;Subsequent\r\nmodel developments have led to the characterization of empirical growth curves for\r\ncorn and soybean, an improved crop growth response based on cardinal\r\ntemperatures, the inclusion of heat stress response at anthesis and improvements\r\nin crop growth response under elevated CO<sub>2</sub> conditions (Smith et al.,\r\n2013, Uzoma et al., 2015). &nbsp;Recent model developments\r\ninclude updated evapotranspiration algorithms (FAO-Penman Monteith) under\r\ntemperate climatic conditions along with an improved ammonia volatilization\r\nroutine for surface applied manure slurries.</p></p>",
    "keywords": "",
    "principal_authors": "W. Smith, B. Grant, R. Kröbel, B. Dutta, K. Congreves",
    "contact_name": "Ward Smith",
    "contact_email": "Ward.Smith@agr.gc.ca",
    "organization": "Agriculture and Agri-Food Canada",
    "latest_version": "DNDC v.CAN",
    "website": "",
    "language": "C",
    "systems_supported": "",
    "source_code_available": "",
    "model_extended_family": "",
    "sectors": "",
    "submitted_by": "Brian Grant",
    "reference_url": "",
    "published_on": "2013-01-01",
    "lft": 51,
    "rght": 66,
    "tree_id": 1,
    "level": 2,
    "parent": "http://gramp.ags.io/api/models/6/?format=api"
}

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Description

A Canadian version of DNDC (DNDC v.CAN) was
developed to simulate biogeochemical cycling in agro-ecosystems under cool climatic
conditions and management representative of Canada. This model should also be applicable
for other temperate regions. It was first denoted as DNDC-CSW as conceived by
Kröbel et al. (2011) when investigating spring wheat growth in Canada using
experimental data from Swift Current, SK and St-Blaise, QC. &nbsp;A new sub-model was introduced into DNDC which
incorporates an empirically derived spring wheat biomass curve, dynamic biomass
fractioning, and dynamic plant C:N ratios. These developments helped improve
predictions of spring wheat plant biomass, nitrogen content and inter-annual
variations in production in Canada. &nbsp;Subsequent
model developments have led to the characterization of empirical growth curves for
corn and soybean, an improved crop growth response based on cardinal
temperatures, the inclusion of heat stress response at anthesis and improvements
in crop growth response under elevated CO2 conditions (Smith et al.,
2013, Uzoma et al., 2015). &nbsp;Recent model developments
include updated evapotranspiration algorithms (FAO-Penman Monteith) under
temperate climatic conditions along with an improved ammonia volatilization
routine for surface applied manure slurries.

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Content:

{
 "url": "/models/104",
 "family": "DNDC",
 "title": "DNDC-CAN",
 "description": "A Canadian version of DNDC (DNDC v.CAN) was\r\ndeveloped to simulate biogeochemical cycling in agro-ecosystems under cool climatic\r\nconditions and management representative of Canada. This model should also be applicable\r\nfor other temperate regions. It was first denoted as DNDC-CSW as conceived by\r\nKröbel et al. (2011) when investigating spring wheat growth in Canada using\r\nexperimental data from Swift Current, SK and St-Blaise, QC. &nbsp;A new sub-model was introduced into DNDC which\r\nincorporates an empirically derived spring wheat biomass curve, dynamic biomass\r\nfractioning, and dynamic plant C:N ratios. These developments helped improve\r\npredictions of spring wheat plant biomass, nitrogen content and inter-annual\r\nvariations in production in Canada. &nbsp;Subsequent\r\nmodel developments have led to the characterization of empirical growth curves for\r\ncorn and soybean, an improved crop growth response based on cardinal\r\ntemperatures, the inclusion of heat stress response at anthesis and improvements\r\nin crop growth response under elevated CO2 conditions (Smith et al.,\r\n2013, Uzoma et al., 2015). &nbsp;Recent model developments\r\ninclude updated evapotranspiration algorithms (FAO-Penman Monteith) under\r\ntemperate climatic conditions along with an improved ammonia volatilization\r\nroutine for surface applied manure slurries.",
 "keywords": "",
 "principal_authors": "W. Smith, B. Grant, R. Kröbel, B. Dutta, K. Congreves",
 "contact_name": "Ward Smith",
 "contact_email": "Ward.Smith@agr.gc.ca",
 "organization": "Agriculture and Agri-Food Canada",
 "latest_version": "DNDC v.CAN",
 "website": "",
 "language": "C",
 "systems_supported": "",
 "source_code_available": "",
 "model_extended_family": "",
 "sectors": "",
 "submitted_by": "Brian Grant",
 "reference_url": "",
 "published_on": "2013-01-01",
 "lft": 51,
 "rght": 66,
 "tree_id": 1,
 "level": 2,
 "parent": "http://gramp.ags.io/api/models/6/?format=api"
}

Gramp Model Instance