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MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts of fire events. Climate input data sources for this...
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These results come from the VINCERA version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
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These results come from the VINCERA version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
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This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...
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MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts of fire events. Climate input data sources for this...
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These results come from the GLOBAL version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
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This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...
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This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...
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These results come from the VINCERA version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
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This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...
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This dataset represents the historical majority vegetation type (30 year mode), for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Majority vegetation type was determined for each HUC5 watershed by calculating the 30 year mode from original ~ 4 km raster data. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al.2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, a nd wild fire impacts for OR, WA, AZ and NM, for a project funded by the USDA Forest Service (PNW09-JV-11261900-003)....
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MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts of fire events. Climate input data sources for this...
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MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts of fire events. Climate input data sources for this...
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These results come from the GLOBAL version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
map background search result map search result map Simulated historical majority vegetation type (1971-2000: 30 yr mode) for OR and WA, USA Forecast Barren Land Extent Under GFDL B1 Scenario, 2060-2079 Forecast Barren Land Extent Under GFDL A2 Scenario, 2080-2099 Forecast Barren Land Extent Under PCM A2 Scenario, 2080-2099 Forecast Vegetation Type Under PCM A2 Scenario Vegetation Type for the North America Simulated for Years 2070-2099 for the HadCM3 SRES B2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Suppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the HadCM3 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the CGCM2 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Vegetation Type for the United States and Canada Simulated for the years 2070-2099 as Simulated by the MC1 Model (NA8K version) and Based on Climate Projections from the MIROC 3.2 MEDRES GCM for the SRES A2 Emission Scenario Potential vegetation distribution (modal average for 2070-2099) simulated using the MC1 model with MIROC medres climate projections under the A1B anthropogenic emission scenario at a half degree spatial grain over the globe. Potential vegetation distribution (modal average for 2070-2099) simulated using the MC1 model with Hadley climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Vegetation Type for the United States and Canada Simulated for Historical data for the years 1961-1990 by the MC1 Model (NA8K version) Vegetation Type for the United States and Canada Simulated for the years 2070-2099 as Simulated by the MC1 Model (NA8K version) and Based on Climate Projections from the MIROC 3.2 MEDRES GCM for the SRES A1B Emission Scenario Vegetation Type for the United States and Canada Simulated for the years 2070-2099 as Simulated by the MC1 Model (NA8K version) and Based on Climate Projections from the HADLEY for the SRES A1B Emission Scenario Forecast Vegetation Type Under PCM A2 Scenario Simulated historical majority vegetation type (1971-2000: 30 yr mode) for OR and WA, USA Forecast Barren Land Extent Under GFDL B1 Scenario, 2060-2079 Forecast Barren Land Extent Under GFDL A2 Scenario, 2080-2099 Forecast Barren Land Extent Under PCM A2 Scenario, 2080-2099 Vegetation Type for the United States and Canada Simulated for the years 2070-2099 as Simulated by the MC1 Model (NA8K version) and Based on Climate Projections from the MIROC 3.2 MEDRES GCM for the SRES A2 Emission Scenario Vegetation Type for the United States and Canada Simulated for Historical data for the years 1961-1990 by the MC1 Model (NA8K version) Vegetation Type for the United States and Canada Simulated for the years 2070-2099 as Simulated by the MC1 Model (NA8K version) and Based on Climate Projections from the MIROC 3.2 MEDRES GCM for the SRES A1B Emission Scenario Vegetation Type for the United States and Canada Simulated for the years 2070-2099 as Simulated by the MC1 Model (NA8K version) and Based on Climate Projections from the HADLEY for the SRES A1B Emission Scenario Vegetation Type for the North America Simulated for Years 2070-2099 for the HadCM3 SRES B2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Suppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the HadCM3 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the CGCM2 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Potential vegetation distribution (modal average for 2070-2099) simulated using the MC1 model with MIROC medres climate projections under the A1B anthropogenic emission scenario at a half degree spatial grain over the globe. Potential vegetation distribution (modal average for 2070-2099) simulated using the MC1 model with Hadley climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe.