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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,...
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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, 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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This dataset portrays the viability score (scale of 0 - 1.0) for Whitebark pine (Pinus albicaulis) in western North America in 2060, using the Geophysical Fluid Dynamics Laboratory - Princeton University, NOAA Research (GFDLCM21) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species....
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This dataset portrays the viability score (scale of 0 - 1.0) for Western hemlock (Tsuga heterophylla) in western North America in 2030, using the Geophysical Fluid Dynamics Laboratory - Princeton University, NOAA Research (GFDLCM21) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species....


map background search result map search result map 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) Aboveground biomass (Mg C/ha) for the Amazon Basin under GISS climate, GOVernance deforestation, and fire scenarios (2040s) Percent change in above ground tree cover for the Amazon Basin under GISS climate and GOVernance deforestation scenarios with fire (2020s) Aboveground biomass (Mg C/ha) for the Amazon Basin under CSIRO MK3 climate, GOVernance deforestation, and no fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under CSIRO MK3 climate scenario and current deforestation (BAU) and no fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under CSIRO MK3 climate scenario and current deforestation and fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under CSIRO MK3 climate scenario and current deforestation and fire scenarios (2020s) Whitebark pine viability score, 2060 (GFDLCM21 GCM, A2 emissions scenario) Western hemlock viability score, 2030 (GFDLCM21 GCM, A2 emissions scenario) Whitebark pine viability score, 2060 (GFDLCM21 GCM, A2 emissions scenario) Western hemlock viability score, 2030 (GFDLCM21 GCM, A2 emissions scenario) 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) Aboveground biomass (Mg C/ha) for the Amazon Basin under GISS climate, GOVernance deforestation, and fire scenarios (2040s) Percent change in above ground tree cover for the Amazon Basin under GISS climate and GOVernance deforestation scenarios with fire (2020s) Aboveground biomass (Mg C/ha) for the Amazon Basin under CSIRO MK3 climate, GOVernance deforestation, and no fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under CSIRO MK3 climate scenario and current deforestation (BAU) and no fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under CSIRO MK3 climate scenario and current deforestation and fire scenarios (2060s) Aboveground biomass (Mg C/ha) for the Amazon Basin under CSIRO MK3 climate scenario and current deforestation and fire scenarios (2020s)