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GET /api/models/18/?format=api

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{
    "url": "/models/18",
    "family": "DNDC",
    "title": "Wetland DNDC",
    "description": "<p><p>The PnET-N-DNDC process-orientated model\r\nwhich simulates C and N dynamics in upland forest ecosystems and the FLATWOODS\r\n(Sun et al., 1998) distributed hydrological model have been integrated to\r\ncreate the Wetland-DNDC model.&nbsp; The main\r\nstructure of Wetland-DNDC is taken from PnET-N-DNDC (Li et al., 2000), with\r\nseveral additional functions and algorithms developed for Wetland-DNDC to\r\nrepresent features unique to wetland ecosystems such as anaerobic conditions,\r\ngrowth of mosses and herbaceous plants and water table dynamics.&nbsp; The model is capable of predicting carbon\r\nbiogeochemical cycles in wetland ecosystems through the integration of the\r\nprimary drives of climate, hydrology, soil and vegetation (Zhang et al. 2002).&nbsp; </p>\r\n<p>Zhang et al. (2002) describes the model as\r\nconsisting of four interacting components: hydrological conditions, soil\r\ntemperature, plant growth and soil C dynamics.&nbsp;\r\nInitial conditions need to be set (e.g. for plant biomass, soil\r\nporosity, soil C content, and water table position). In addition the climate\r\ndrivers are inputs to the model and some model parameters (e.g., lateral\r\ninflow/outflow parameters, maximum photosynthesis rate). The model output\r\nincludes C pools and fluxes and thermal/hydrological conditions.</p>\r\n<p>The model was validated by Zhang et al.\r\n(2002) against observations from three wetland sites in North America, which\r\nwere in agreement with measurements of water table dynamics, soil temperature,\r\nmethane (CH4) fluxes, Net Ecosystem Productivity (NEP) and annual carbon\r\nbudgets.&nbsp; Plant photosynthesis capacity,\r\ninitial soil C content, air temperature and water outflow parameters were shown\r\nto be the most critical input factors for C dynamics in wetland ecosystems\r\nthrough sensitivity analysis.</p><p><p>Wetland-DNC has had additional enhancements\r\nby (Li et al 2004) to enable changes in management practices that affect carbon\r\nsequestration to be represented, such as forest harvest, tree planting,\r\nchopping and burning and water management.</p></p></p>",
    "keywords": "Carbon Cycles, Hydrology, Methane Emissions, Mode, Wetland",
    "principal_authors": "Yu Zhang, Changsheng Li,  Jianbo Cui,  Carl Trettin and Harbin Li",
    "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": "",
    "website": "",
    "language": "",
    "systems_supported": "",
    "source_code_available": "",
    "model_extended_family": "",
    "sectors": "Agriculture, Wetlands",
    "submitted_by": "",
    "reference_url": "",
    "published_on": "2002-07-01",
    "lft": 257,
    "rght": 272,
    "tree_id": 1,
    "level": 2,
    "parent": "http://gramp.ags.io/api/models/9/?format=api"
}

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Description

The PnET-N-DNDC process-orientated model
which simulates C and N dynamics in upland forest ecosystems and the FLATWOODS
(Sun et al., 1998) distributed hydrological model have been integrated to
create the Wetland-DNDC model.&nbsp; The main
structure of Wetland-DNDC is taken from PnET-N-DNDC (Li et al., 2000), with
several additional functions and algorithms developed for Wetland-DNDC to
represent features unique to wetland ecosystems such as anaerobic conditions,
growth of mosses and herbaceous plants and water table dynamics.&nbsp; The model is capable of predicting carbon
biogeochemical cycles in wetland ecosystems through the integration of the
primary drives of climate, hydrology, soil and vegetation (Zhang et al. 2002).&nbsp; 
Zhang et al. (2002) describes the model as
consisting of four interacting components: hydrological conditions, soil
temperature, plant growth and soil C dynamics.&nbsp;
Initial conditions need to be set (e.g. for plant biomass, soil
porosity, soil C content, and water table position). In addition the climate
drivers are inputs to the model and some model parameters (e.g., lateral
inflow/outflow parameters, maximum photosynthesis rate). The model output
includes C pools and fluxes and thermal/hydrological conditions.
The model was validated by Zhang et al.
(2002) against observations from three wetland sites in North America, which
were in agreement with measurements of water table dynamics, soil temperature,
methane (CH4) fluxes, Net Ecosystem Productivity (NEP) and annual carbon
budgets.&nbsp; Plant photosynthesis capacity,
initial soil C content, air temperature and water outflow parameters were shown
to be the most critical input factors for C dynamics in wetland ecosystems
through sensitivity analysis.Wetland-DNC has had additional enhancements
by (Li et al 2004) to enable changes in management practices that affect carbon
sequestration to be represented, such as forest harvest, tree planting,
chopping and burning and water management.

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Content:

{
 "url": "/models/18",
 "family": "DNDC",
 "title": "Wetland DNDC",
 "description": "The PnET-N-DNDC process-orientated model\r\nwhich simulates C and N dynamics in upland forest ecosystems and the FLATWOODS\r\n(Sun et al., 1998) distributed hydrological model have been integrated to\r\ncreate the Wetland-DNDC model.&nbsp; The main\r\nstructure of Wetland-DNDC is taken from PnET-N-DNDC (Li et al., 2000), with\r\nseveral additional functions and algorithms developed for Wetland-DNDC to\r\nrepresent features unique to wetland ecosystems such as anaerobic conditions,\r\ngrowth of mosses and herbaceous plants and water table dynamics.&nbsp; The model is capable of predicting carbon\r\nbiogeochemical cycles in wetland ecosystems through the integration of the\r\nprimary drives of climate, hydrology, soil and vegetation (Zhang et al. 2002).&nbsp; \r\nZhang et al. (2002) describes the model as\r\nconsisting of four interacting components: hydrological conditions, soil\r\ntemperature, plant growth and soil C dynamics.&nbsp;\r\nInitial conditions need to be set (e.g. for plant biomass, soil\r\nporosity, soil C content, and water table position). In addition the climate\r\ndrivers are inputs to the model and some model parameters (e.g., lateral\r\ninflow/outflow parameters, maximum photosynthesis rate). The model output\r\nincludes C pools and fluxes and thermal/hydrological conditions.\r\nThe model was validated by Zhang et al.\r\n(2002) against observations from three wetland sites in North America, which\r\nwere in agreement with measurements of water table dynamics, soil temperature,\r\nmethane (CH4) fluxes, Net Ecosystem Productivity (NEP) and annual carbon\r\nbudgets.&nbsp; Plant photosynthesis capacity,\r\ninitial soil C content, air temperature and water outflow parameters were shown\r\nto be the most critical input factors for C dynamics in wetland ecosystems\r\nthrough sensitivity analysis.Wetland-DNC has had additional enhancements\r\nby (Li et al 2004) to enable changes in management practices that affect carbon\r\nsequestration to be represented, such as forest harvest, tree planting,\r\nchopping and burning and water management.",
 "keywords": "Carbon Cycles, Hydrology, Methane Emissions, Mode, Wetland",
 "principal_authors": "Yu Zhang, Changsheng Li, Jianbo Cui, Carl Trettin and Harbin Li",
 "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": "",
 "website": "",
 "language": "",
 "systems_supported": "",
 "source_code_available": "",
 "model_extended_family": "",
 "sectors": "Agriculture, Wetlands",
 "submitted_by": "",
 "reference_url": "",
 "published_on": "2002-07-01",
 "lft": 257,
 "rght": 272,
 "tree_id": 1,
 "level": 2,
 "parent": "http://gramp.ags.io/api/models/9/?format=api"
}

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