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Winter (January – March) precipitation (mm) averaged over 2046-2065 from the general circulation model Hadley CM3 (Gordon et al. 2000, Pope et al. 2000) downscaled to a grid cell size of 10 km x 10km. References: Gordon C., C. Cooper , C.A. Senior, H. Banks, J.M. Gregory, T.C. Johns , J.F.B. Mitchell, and R.A. Wood. 2000. The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim Dyn 16:147–168. Pope, V.D., M.L. Gallani, P.R. Rowntree, and R.A. Stratton. 2000. The impact of new physical parameterisations in the Hadley Centre climate model – HadAM3. Clim Dyn 16:123–146.
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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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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, above ground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, above ground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, above ground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, aboveground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, aboveground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, aboveground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, aboveground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, aboveground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, aboveground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, aboveground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, aboveground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, above ground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, above ground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, above ground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, aboveground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, aboveground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, aboveground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...
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The integrity of Amazon forests are currently threatened by climate change, deforestation, and fire. However, it is unclear how these agents of change interact over large spatial and temporal domains and reducing this uncertainty is important for projecting changes in carbon stocks and species biogeography, and could better inform continental scale conservation programs. With this in mind, aboveground biomass and tree cover data were produced using the dynamic global vegetation model, LPJmL, with 9 different global climate models (using the SRES A2 emissions storyline) and 2 different deforestation scenarios (from Soares et al.). The existing fire module was modified to include 'escaped fire' associated with deforestation,...


map background search result map search result map Mean winter (January – March) precipitation, 2046-2065, Hadley CM3 A1fi, 10 km resolution Vegetation Type for the United States and Canada Simulated for Historical data for the years 1961-1990 by the MC1 Model (NA8K version) Percent change in above ground tree cover for the Amazon Basin under UKMO HADCM3 climate and GOVernance deforestation scenarios with no fire (2020s) Percent change in above ground tree cover for the Amazon Basin under UKMO HADCM3 climate scenario and current deforestation with no fire (2080s) Percent change in above ground tree cover for the Amazon Basin under MPI ECHAM 5 climate and GOVernance deforestation scenarios with fire (2020s) Aboveground biomass (Mg C/ha) for the Amazon Basin under UKMO HADGEM1 climate, no deforestation, and no fire scenarios (2040s) Aboveground biomass (Mg C/ha) for the Amazon Basin under UKMO HADGEM1 climate, no deforestation, and fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under UKMO HADGEM1 climate, current deforestation (BAU), and fire scenarios (2080s) Aboveground biomass (Mg C/ha) for the Amazon Basin under UKMO HADCM3 climate, GOVernance deforestation, and no fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under CCSM 3.0 climate, GOVernance deforestation, and no fire scenarios (2020s) Aboveground biomass (Mg C/ha) for the Amazon Basin under CCSM 3.0 climate, current deforestation (BAU), and fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under MPI ECHAM5 climate, current deforestation (BAU), and fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under ECHO-G climate, no deforestation, and no fire scenarios (2080s) Percent change in above ground tree cover for the Amazon Basin under IPSL CM 4 climate and GOVernance deforestation scenarios with no fire (2040s) Percent change in above ground tree cover for the Amazon Basin under IPSL CM 4 climate and GOVernance deforestation scenarios with no fire (2020s) Percent change in above ground tree cover for the Amazon Basin under IPSL CM 4 climate scenario and current deforestation with no fire (2080s) Aboveground biomass (Mg C/ha) for the Amazon Basin under IPSL CM4 climate, GOVernance deforestation, and no fire scenarios (2080s) Aboveground biomass (Mg C/ha) for the Amazon Basin under IPSL CM4 climate, GOVernance deforestation, and fire scenarios (2080s) Aboveground biomass (Mg C/ha) for the Amazon Basin under IPSL CM4 climate, current deforestation (BAU), and no fire scenarios (2040s) Aboveground biomass (Mg C/ha) for the Amazon Basin under GISS climate, GOVernance deforestation, and fire scenarios (2060s) Mean winter (January – March) precipitation, 2046-2065, Hadley CM3 A1fi, 10 km resolution Percent change in above ground tree cover for the Amazon Basin under UKMO HADCM3 climate and GOVernance deforestation scenarios with no fire (2020s) Percent change in above ground tree cover for the Amazon Basin under UKMO HADCM3 climate scenario and current deforestation with no fire (2080s) Percent change in above ground tree cover for the Amazon Basin under MPI ECHAM 5 climate and GOVernance deforestation scenarios with fire (2020s) Aboveground biomass (Mg C/ha) for the Amazon Basin under UKMO HADGEM1 climate, no deforestation, and no fire scenarios (2040s) Aboveground biomass (Mg C/ha) for the Amazon Basin under UKMO HADGEM1 climate, no deforestation, and fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under UKMO HADGEM1 climate, current deforestation (BAU), and fire scenarios (2080s) Aboveground biomass (Mg C/ha) for the Amazon Basin under UKMO HADCM3 climate, GOVernance deforestation, and no fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under CCSM 3.0 climate, GOVernance deforestation, and no fire scenarios (2020s) Aboveground biomass (Mg C/ha) for the Amazon Basin under CCSM 3.0 climate, current deforestation (BAU), and fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under MPI ECHAM5 climate, current deforestation (BAU), and fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under ECHO-G climate, no deforestation, and no fire scenarios (2080s) Percent change in above ground tree cover for the Amazon Basin under IPSL CM 4 climate and GOVernance deforestation scenarios with no fire (2040s) Percent change in above ground tree cover for the Amazon Basin under IPSL CM 4 climate and GOVernance deforestation scenarios with no fire (2020s) Percent change in above ground tree cover for the Amazon Basin under IPSL CM 4 climate scenario and current deforestation with no fire (2080s) Aboveground biomass (Mg C/ha) for the Amazon Basin under IPSL CM4 climate, GOVernance deforestation, and no fire scenarios (2080s) Aboveground biomass (Mg C/ha) for the Amazon Basin under IPSL CM4 climate, GOVernance deforestation, and fire scenarios (2080s) Aboveground biomass (Mg C/ha) for the Amazon Basin under IPSL CM4 climate, current deforestation (BAU), and no fire scenarios (2040s) Aboveground biomass (Mg C/ha) for the Amazon Basin under GISS climate, GOVernance deforestation, and fire scenarios (2060s) Vegetation Type for the United States and Canada Simulated for Historical data for the years 1961-1990 by the MC1 Model (NA8K version)