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This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future-Historical)/Historical)*100) Where Future is the average value for 2070-2099 and Historical is the average value for 1961-1990. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
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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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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 is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future-Historical)/Historical)*100) Where Future is the average value for 2070-2099 and Historical is the average value for 1961-1990. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
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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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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 is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future-Historical)/Historical)*100) Where Future is the average value for 2070-2099 and Historical is the average value for 1961-1990. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
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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 is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future-Historical)/Historical)*100) Where Future is the average value for 2070-2099 and Historical is the average value for 1961-1990. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
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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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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...
thumbnail
This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future-Historical)/Historical)*100) Where Future is the average value for 2070-2099 and Historical is the average value for 1961-1990. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
thumbnail
This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future-Historical)/Historical)*100) Where Future is the average value for 2070-2099 and Historical is the average value for 1961-1990. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
thumbnail
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...
thumbnail
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...
thumbnail
This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future-Historical)/Historical)*100) Where Future is the average value for 2070-2099 and Historical is the average value for 1961-1990. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
thumbnail
This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future-Historical)/Historical)*100) Where Future is the average value for 2070-2099 and Historical is the average value for 1961-1990. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
thumbnail
This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future-Historical)/Historical)*100) Where Future is the average value for 2070-2099 and Historical is the average value for 1961-1990. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
thumbnail
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...
thumbnail
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 Potential vegetation distribution (modal average for 2070-2099) simulated using the MC1 model with MIROC medres climate projections under the B1 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 MIROC medres climate projections under the A2 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 MIROC medres climate projections under the A1B anthropogenic emission scenario at a half degree spatial grain over the globe. Potential vegetation distribution (average for 1961-1990) simulated using the MC1 model with CRU (TS 2.0) historical climate 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 B2 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. Potential vegetation distribution (modal average for 2070-2099) simulated using the MC1 model with Hadley 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 CSIRO Mk.3.0 climate projections under the B1 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 CSIRO Mk.3.0 climate projections under the A2 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 CSIRO Mk.3.0 climate projections under the A1B anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with MIROC medres climate projections under the B1 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with MIROC medres climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 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. Vegetation carbon (average for 1961-1990) simulated using the MC1 model with CRU (TS 2.0) historical climate at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with Hadley climate projections under the B1 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with Hadley climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with Hadley climate projections under the A1B anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with CSIRO Mk.3.0 climate projections under the B1 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with CSIRO Mk.3.0 climate projections under the A1B anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with CSIRO Mk.3.0 climate projections under the A2 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 MIROC medres climate projections under the B1 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 MIROC medres climate projections under the A2 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 MIROC medres climate projections under the A1B anthropogenic emission scenario at a half degree spatial grain over the globe. Potential vegetation distribution (average for 1961-1990) simulated using the MC1 model with CRU (TS 2.0) historical climate 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 B2 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. Potential vegetation distribution (modal average for 2070-2099) simulated using the MC1 model with Hadley 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 CSIRO Mk.3.0 climate projections under the B1 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 CSIRO Mk.3.0 climate projections under the A2 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 CSIRO Mk.3.0 climate projections under the A1B anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with MIROC medres climate projections under the B1 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with MIROC medres climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 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. Vegetation carbon (average for 1961-1990) simulated using the MC1 model with CRU (TS 2.0) historical climate at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with Hadley climate projections under the B1 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with Hadley climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with Hadley climate projections under the A1B anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with CSIRO Mk.3.0 climate projections under the B1 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with CSIRO Mk.3.0 climate projections under the A1B anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with CSIRO Mk.3.0 climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe.