GRAMP API

GET /api/models/14/?format=api

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{
    "url": "/models/14",
    "family": "DNDC",
    "title": "NEST-DNDC",
    "description": "<p><p>Nest-DNDC is an integration of Northern\r\nEcosyste Soil Temperature (NEST) model and DNDC that upscales methane fluxes\r\nfrom plant communities to ecosystem scale in permafrost peatlands. &nbsp;Information is exchanged between the two\r\nmodels at code level, so the model is able to simulate the interaction between\r\nbiogeochemical process and soil thermal-hydrological conditions.&nbsp; </p>\r\n<p>NEST-DNDC simulates an ecosytem domain that\r\nis made up of many plant communities, which share common weather and geological\r\nconditions but vary in their biophysical factors.&nbsp; An area-weighted sum of plant community fluxes\r\ncan calculate ecosystem scale fluxes.&nbsp; A\r\nsimulated deep ground profile captures changes in summer thaw depth, variations\r\nof permafrost with climate and provides a lower boundary condition for water\r\ntable depth.</p>\r\n<p>NEST-DNDC is also able to siumulate upland\r\nand wetland ecosystems without permafrost.&nbsp;\r\nThe modelled soil profile can contain may different soil textures and\r\nlayers of varying thickness and gravel content.&nbsp;\r\nThe model can be applied to a wide range of ecosystems from forest to\r\ntundra, as it can model an upper- and understory of woody plants, a layer of\r\nsedges or grass and a layer of mosses.</p>\r\nChanges of bubble volume in the soil profile\r\n(based on the ideal gas law and Henry's Law) were tracked using a newly\r\ndeveloped ebullition module.&nbsp; Model\r\nresults were in agreement with those measured by closed chamber and eddy\r\ncovariance method for the Lena River Delta, Russia.&nbsp; Zhang et al. (2012) found the model to be\r\ncapable of upscaling methane fluxes to larger scales.<br></p>",
    "keywords": "NEST-DNDCDNDC, methane flux, modle, NEST, peatland, permafrost, upscale",
    "principal_authors": "Yu Zhang, Torsten Sachs, Changsheng Li and Julia Biokes",
    "contact_name": "Changsheng Li",
    "contact_email": "changsheng.li@unh.edu",
    "organization": "Canada Centre for Remote Sensing, Natural Resources Canada, Ottawa, Canada",
    "latest_version": "",
    "website": "",
    "language": "",
    "systems_supported": "",
    "source_code_available": "",
    "model_extended_family": "",
    "sectors": "",
    "submitted_by": "",
    "reference_url": "",
    "published_on": "2012-07-01",
    "lft": 196,
    "rght": 209,
    "tree_id": 1,
    "level": 1,
    "parent": "http://gramp.ags.io/api/models/2/?format=api"
}

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Description

Nest-DNDC is an integration of Northern
Ecosyste Soil Temperature (NEST) model and DNDC that upscales methane fluxes
from plant communities to ecosystem scale in permafrost peatlands. &nbsp;Information is exchanged between the two
models at code level, so the model is able to simulate the interaction between
biogeochemical process and soil thermal-hydrological conditions.&nbsp; 
NEST-DNDC simulates an ecosytem domain that
is made up of many plant communities, which share common weather and geological
conditions but vary in their biophysical factors.&nbsp; An area-weighted sum of plant community fluxes
can calculate ecosystem scale fluxes.&nbsp; A
simulated deep ground profile captures changes in summer thaw depth, variations
of permafrost with climate and provides a lower boundary condition for water
table depth.
NEST-DNDC is also able to siumulate upland
and wetland ecosystems without permafrost.&nbsp;
The modelled soil profile can contain may different soil textures and
layers of varying thickness and gravel content.&nbsp;
The model can be applied to a wide range of ecosystems from forest to
tundra, as it can model an upper- and understory of woody plants, a layer of
sedges or grass and a layer of mosses.
Changes of bubble volume in the soil profile
(based on the ideal gas law and Henry's Law) were tracked using a newly
developed ebullition module.&nbsp; Model
results were in agreement with those measured by closed chamber and eddy
covariance method for the Lena River Delta, Russia.&nbsp; Zhang et al. (2012) found the model to be
capable of upscaling methane fluxes to larger scales.

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Content:

{
 "url": "/models/14",
 "family": "DNDC",
 "title": "NEST-DNDC",
 "description": "Nest-DNDC is an integration of Northern\r\nEcosyste Soil Temperature (NEST) model and DNDC that upscales methane fluxes\r\nfrom plant communities to ecosystem scale in permafrost peatlands. &nbsp;Information is exchanged between the two\r\nmodels at code level, so the model is able to simulate the interaction between\r\nbiogeochemical process and soil thermal-hydrological conditions.&nbsp; \r\nNEST-DNDC simulates an ecosytem domain that\r\nis made up of many plant communities, which share common weather and geological\r\nconditions but vary in their biophysical factors.&nbsp; An area-weighted sum of plant community fluxes\r\ncan calculate ecosystem scale fluxes.&nbsp; A\r\nsimulated deep ground profile captures changes in summer thaw depth, variations\r\nof permafrost with climate and provides a lower boundary condition for water\r\ntable depth.\r\nNEST-DNDC is also able to siumulate upland\r\nand wetland ecosystems without permafrost.&nbsp;\r\nThe modelled soil profile can contain may different soil textures and\r\nlayers of varying thickness and gravel content.&nbsp;\r\nThe model can be applied to a wide range of ecosystems from forest to\r\ntundra, as it can model an upper- and understory of woody plants, a layer of\r\nsedges or grass and a layer of mosses.\r\nChanges of bubble volume in the soil profile\r\n(based on the ideal gas law and Henry's Law) were tracked using a newly\r\ndeveloped ebullition module.&nbsp; Model\r\nresults were in agreement with those measured by closed chamber and eddy\r\ncovariance method for the Lena River Delta, Russia.&nbsp; Zhang et al. (2012) found the model to be\r\ncapable of upscaling methane fluxes to larger scales. ",
 "keywords": "NEST-DNDCDNDC, methane flux, modle, NEST, peatland, permafrost, upscale",
 "principal_authors": "Yu Zhang, Torsten Sachs, Changsheng Li and Julia Biokes",
 "contact_name": "Changsheng Li",
 "contact_email": "changsheng.li@unh.edu",
 "organization": "Canada Centre for Remote Sensing, Natural Resources Canada, Ottawa, Canada",
 "latest_version": "",
 "website": "",
 "language": "",
 "systems_supported": "",
 "source_code_available": "",
 "model_extended_family": "",
 "sectors": "",
 "submitted_by": "",
 "reference_url": "",
 "published_on": "2012-07-01",
 "lft": 196,
 "rght": 209,
 "tree_id": 1,
 "level": 1,
 "parent": "http://gramp.ags.io/api/models/2/?format=api"
}

Gramp Model Instance