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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...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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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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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....


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 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 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 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 CSIRO Mk.3.0 climate projections under the A1B anthropogenic emission scenario at a half degree spatial grain over the globe. FSA 10:1 NAIP Imagery m_3311034_ne_12_1_20150607_20150826 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3311034_se_12_1_20150607_20150826 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3809513_se_15_1_20150620_20150922 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3608159_nw_17_1_20140704_20141118 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3611858_nw_11_h_20160630_20161004 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3611858_se_11_h_20160630_20161004 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Globe, AZ 1945 USGS 1:24000-scale Quadrangle for Globe, AZ 1945 USGS 1:24000-scale Quadrangle for Globe, AZ 1945 USGS 1:24000-scale Quadrangle for Globe, NC 1959 USGS 1:24000-scale Quadrangle for Globe, NC 1994 USGS 1:62500-scale Quadrangle for Globe, AZ 1902 FSA 10:1 NAIP Imagery m_3311034_ne_12_1_20150607_20150826 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3311034_se_12_1_20150607_20150826 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3809513_se_15_1_20150620_20150922 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3608159_nw_17_1_20140704_20141118 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3611858_nw_11_h_20160630_20161004 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3611858_se_11_h_20160630_20161004 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Globe, AZ 1945 USGS 1:24000-scale Quadrangle for Globe, AZ 1945 USGS 1:24000-scale Quadrangle for Globe, AZ 1945 USGS 1:24000-scale Quadrangle for Globe, NC 1959 USGS 1:24000-scale Quadrangle for Globe, NC 1994 USGS 1:62500-scale Quadrangle for Globe, AZ 1902 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 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 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 CSIRO Mk.3.0 climate projections under the A1B anthropogenic emission scenario at a half degree spatial grain over the globe.