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{
    "url": "/models/13",
    "family": "DNDC",
    "title": "Mobile-DNDC",
    "description": "<p><p>Grote et al. (2011) integrated dimensional\r\ntree growth and mortality routines with MoBiLE-PSIM, a physiologically based\r\nprocess model, to enable quantification of&nbsp;\r\nthe impacts of direct and indriect impacts of forest management on\r\ncarbon balances within ecosystems.&nbsp; &nbsp;</p>\r\n<p>Simulations were performed using\r\nmicroclimate, water cycle, soil nutrient dynamics, physiology and dimensional\r\nchange models combined in a MOBiLE (Grote et al., 2008) framework.&nbsp; The framework manages the exchange of\r\nvariables between models and modules that describe the cycling of water, carbon\r\nand nitrogen in the biosphere, atmosphere and hydrosphere. &nbsp;An Empirical-based Canopy Model (Grote et al.,\r\n2009a) is used to provide hourly climatic information for canopy layers and\r\nDNDC calculates soil temperature, which drives biogeochemical calculations. &nbsp;The DNDC water balance module is used to\r\ncalculate water availability and DNDC calculations are used to to simulate the\r\nmineralisation, nitrification and denitrification above and below ground. &nbsp;PSIM and DNDC were linked previously in Grote\r\net al. (2009b) by plant uptake of nitrogen.&nbsp;\r\nThe DNDC model used in the MoBiLE framework is able to calculate '\"water\r\npools and fluxes throughout the total rooted soil profile with soil layer\r\nspecific parameterisations\", unlike in the orginal version. A physiology\r\nbased model, PSIM, simulates further vegetation processes such as plant\r\nrespiration, senescence and allocation of carbon and nitrogen and nitrogen\r\nuptake. </p>\r\n<p>Simulations are site specific and\r\ninformation is only exchanged vertically (from the top of the vegetation to the\r\ntotal rooting depth in the soil) between time steps, as it is 1-D column\r\nmodelling.&nbsp; The vertical dimension is\r\ndivided into flexible vegetation layers, of equal height, and a variety of soil\r\nlayers (defined by C content, N content, field capacity, wilting point, pH,\r\nsaturated conductivity, clay and stone content, bulk density).&nbsp; The model operates on either a sub-daily,\r\ndaily or any multiple of day time steps.&nbsp;\r\nVegetation information required includes species, height, canopy length,\r\naverage diameter at 1.3m, total stem volume, total above ground biomass and\r\ntree number.</p><p><p>MoBiLE-DNDC was shown to be capable of\r\nsimulating carbon fluxes in various types of pureforests, which covered old to\r\nyoung forests and a variety of species (deciduous, evergreen, needle and broad\r\nleaved) by Grote et al. (2011).&nbsp; The\r\nmodel is able to quantify real management impacts on the carbon cycle (the\r\nmodel recognises losses from thinning) and there feedback effects, which signifies\r\nprogress in carbon flux modelling.</p>\r\nMoBiLE-DNDC was adapted by Wolf et al. (2012) to\r\nexamine nitrous oxide emissions during freeze-thaw events in temperate\r\necoystems, through the addition of routines that relate maximum snow height to\r\nend of season biomass (ESSB).&nbsp; The model\r\nwas developed to better simulate plant production, snow height and soil\r\nmoisture for steppe terrain exposed to different grazing intensities in\r\nMongolia.&nbsp; The new routines account for\r\ndecreased plant productivity resulting from grazing and the increase of\r\nimpedance of soil ice on soil hydraulic conductivity.&nbsp; Modelling impedance within MoBiLE-DNDC improved\r\nsimulation of soil water content and decreased the oxygen content in the top\r\nsoil during periods of freeze-thaw.&nbsp; Nitrous\r\noxide emissions were shown to decrease during spring thaw as a result of lower\r\nwater content and anaerobiosis, which was also observed in field observations.&nbsp;<br></p></p>",
    "keywords": "Physiologically orientated modelling, Integrated modelling, Eddy-flux measurements, Tree growth, Carbon balances, Thinning  Freeze-thaw, Impedance concepth, N2O, Steppe, Biogeochemical Modelling, Grazing Intensity",
    "principal_authors": "Rüdiger Grote, Ralf Kiese, Thomas Grünwald, Jean-Marc Ourcival and Andre Granier ",
    "contact_name": "Rüdiger Grote",
    "contact_email": "ruediger.grote@kit.edu",
    "organization": "Karlsruhe Insititute of Technology",
    "latest_version": "",
    "website": "",
    "language": "",
    "systems_supported": "",
    "source_code_available": "",
    "model_extended_family": "UK-DNDC; NZ-DNDC; LANDSCAPE-DNDC; DNDC-EUROPE; FOREST-DNDC-TROPICA; DNDC-RICE;",
    "sectors": "Agriculture",
    "submitted_by": "",
    "reference_url": "",
    "published_on": "2009-07-01",
    "lft": 178,
    "rght": 193,
    "tree_id": 1,
    "level": 1,
    "parent": "http://gramp.ags.io/api/models/2/?format=api"
}

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Grote et al. (2011) integrated dimensional
tree growth and mortality routines with MoBiLE-PSIM, a physiologically based
process model, to enable quantification of&nbsp;
the impacts of direct and indriect impacts of forest management on
carbon balances within ecosystems.&nbsp; &nbsp;
Simulations were performed using
microclimate, water cycle, soil nutrient dynamics, physiology and dimensional
change models combined in a MOBiLE (Grote et al., 2008) framework.&nbsp; The framework manages the exchange of
variables between models and modules that describe the cycling of water, carbon
and nitrogen in the biosphere, atmosphere and hydrosphere. &nbsp;An Empirical-based Canopy Model (Grote et al.,
2009a) is used to provide hourly climatic information for canopy layers and
DNDC calculates soil temperature, which drives biogeochemical calculations. &nbsp;The DNDC water balance module is used to
calculate water availability and DNDC calculations are used to to simulate the
mineralisation, nitrification and denitrification above and below ground. &nbsp;PSIM and DNDC were linked previously in Grote
et al. (2009b) by plant uptake of nitrogen.&nbsp;
The DNDC model used in the MoBiLE framework is able to calculate '"water
pools and fluxes throughout the total rooted soil profile with soil layer
specific parameterisations", unlike in the orginal version. A physiology
based model, PSIM, simulates further vegetation processes such as plant
respiration, senescence and allocation of carbon and nitrogen and nitrogen
uptake. 
Simulations are site specific and
information is only exchanged vertically (from the top of the vegetation to the
total rooting depth in the soil) between time steps, as it is 1-D column
modelling.&nbsp; The vertical dimension is
divided into flexible vegetation layers, of equal height, and a variety of soil
layers (defined by C content, N content, field capacity, wilting point, pH,
saturated conductivity, clay and stone content, bulk density).&nbsp; The model operates on either a sub-daily,
daily or any multiple of day time steps.&nbsp;
Vegetation information required includes species, height, canopy length,
average diameter at 1.3m, total stem volume, total above ground biomass and
tree number.MoBiLE-DNDC was shown to be capable of
simulating carbon fluxes in various types of pureforests, which covered old to
young forests and a variety of species (deciduous, evergreen, needle and broad
leaved) by Grote et al. (2011).&nbsp; The
model is able to quantify real management impacts on the carbon cycle (the
model recognises losses from thinning) and there feedback effects, which signifies
progress in carbon flux modelling.
MoBiLE-DNDC was adapted by Wolf et al. (2012) to
examine nitrous oxide emissions during freeze-thaw events in temperate
ecoystems, through the addition of routines that relate maximum snow height to
end of season biomass (ESSB).&nbsp; The model
was developed to better simulate plant production, snow height and soil
moisture for steppe terrain exposed to different grazing intensities in
Mongolia.&nbsp; The new routines account for
decreased plant productivity resulting from grazing and the increase of
impedance of soil ice on soil hydraulic conductivity.&nbsp; Modelling impedance within MoBiLE-DNDC improved
simulation of soil water content and decreased the oxygen content in the top
soil during periods of freeze-thaw.&nbsp; Nitrous
oxide emissions were shown to decrease during spring thaw as a result of lower
water content and anaerobiosis, which was also observed in field observations.&nbsp;

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{
 "url": "/models/13",
 "family": "DNDC",
 "title": "Mobile-DNDC",
 "description": "Grote et al. (2011) integrated dimensional\r\ntree growth and mortality routines with MoBiLE-PSIM, a physiologically based\r\nprocess model, to enable quantification of&nbsp;\r\nthe impacts of direct and indriect impacts of forest management on\r\ncarbon balances within ecosystems.&nbsp; &nbsp;\r\nSimulations were performed using\r\nmicroclimate, water cycle, soil nutrient dynamics, physiology and dimensional\r\nchange models combined in a MOBiLE (Grote et al., 2008) framework.&nbsp; The framework manages the exchange of\r\nvariables between models and modules that describe the cycling of water, carbon\r\nand nitrogen in the biosphere, atmosphere and hydrosphere. &nbsp;An Empirical-based Canopy Model (Grote et al.,\r\n2009a) is used to provide hourly climatic information for canopy layers and\r\nDNDC calculates soil temperature, which drives biogeochemical calculations. &nbsp;The DNDC water balance module is used to\r\ncalculate water availability and DNDC calculations are used to to simulate the\r\nmineralisation, nitrification and denitrification above and below ground. &nbsp;PSIM and DNDC were linked previously in Grote\r\net al. (2009b) by plant uptake of nitrogen.&nbsp;\r\nThe DNDC model used in the MoBiLE framework is able to calculate '\"water\r\npools and fluxes throughout the total rooted soil profile with soil layer\r\nspecific parameterisations\", unlike in the orginal version. A physiology\r\nbased model, PSIM, simulates further vegetation processes such as plant\r\nrespiration, senescence and allocation of carbon and nitrogen and nitrogen\r\nuptake. \r\nSimulations are site specific and\r\ninformation is only exchanged vertically (from the top of the vegetation to the\r\ntotal rooting depth in the soil) between time steps, as it is 1-D column\r\nmodelling.&nbsp; The vertical dimension is\r\ndivided into flexible vegetation layers, of equal height, and a variety of soil\r\nlayers (defined by C content, N content, field capacity, wilting point, pH,\r\nsaturated conductivity, clay and stone content, bulk density).&nbsp; The model operates on either a sub-daily,\r\ndaily or any multiple of day time steps.&nbsp;\r\nVegetation information required includes species, height, canopy length,\r\naverage diameter at 1.3m, total stem volume, total above ground biomass and\r\ntree number.MoBiLE-DNDC was shown to be capable of\r\nsimulating carbon fluxes in various types of pureforests, which covered old to\r\nyoung forests and a variety of species (deciduous, evergreen, needle and broad\r\nleaved) by Grote et al. (2011).&nbsp; The\r\nmodel is able to quantify real management impacts on the carbon cycle (the\r\nmodel recognises losses from thinning) and there feedback effects, which signifies\r\nprogress in carbon flux modelling.\r\nMoBiLE-DNDC was adapted by Wolf et al. (2012) to\r\nexamine nitrous oxide emissions during freeze-thaw events in temperate\r\necoystems, through the addition of routines that relate maximum snow height to\r\nend of season biomass (ESSB).&nbsp; The model\r\nwas developed to better simulate plant production, snow height and soil\r\nmoisture for steppe terrain exposed to different grazing intensities in\r\nMongolia.&nbsp; The new routines account for\r\ndecreased plant productivity resulting from grazing and the increase of\r\nimpedance of soil ice on soil hydraulic conductivity.&nbsp; Modelling impedance within MoBiLE-DNDC improved\r\nsimulation of soil water content and decreased the oxygen content in the top\r\nsoil during periods of freeze-thaw.&nbsp; Nitrous\r\noxide emissions were shown to decrease during spring thaw as a result of lower\r\nwater content and anaerobiosis, which was also observed in field observations.&nbsp; ",
 "keywords": "Physiologically orientated modelling, Integrated modelling, Eddy-flux measurements, Tree growth, Carbon balances, Thinning Freeze-thaw, Impedance concepth, N2O, Steppe, Biogeochemical Modelling, Grazing Intensity",
 "principal_authors": "Rüdiger Grote, Ralf Kiese, Thomas Grünwald, Jean-Marc Ourcival and Andre Granier ",
 "contact_name": "Rüdiger Grote",
 "contact_email": "ruediger.grote@kit.edu",
 "organization": "Karlsruhe Insititute of Technology",
 "latest_version": "",
 "website": "",
 "language": "",
 "systems_supported": "",
 "source_code_available": "",
 "model_extended_family": "UK-DNDC; NZ-DNDC; LANDSCAPE-DNDC; DNDC-EUROPE; FOREST-DNDC-TROPICA; DNDC-RICE;",
 "sectors": "Agriculture",
 "submitted_by": "",
 "reference_url": "",
 "published_on": "2009-07-01",
 "lft": 178,
 "rght": 193,
 "tree_id": 1,
 "level": 1,
 "parent": "http://gramp.ags.io/api/models/2/?format=api"
}

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