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NARCCAP: http://www.narccap.ucar.edu/ The North American Regional Climate Change Assessment Program (NARCCAP) is an international program that will serve the climate scenario needs of the United States, Canada, and northern Mexico. NARCCAP is systematically investigating the uncertainties in future climate projections on the regional level. NARCCAP closely matches the regional climate models (RCMs) with multiple atmosphere-ocean general circulation models (AOGCMs) along with the A2 scenario from the Special Report on Emission Scenarios (SRES) over an area covering most of North America. NARCCAP also validates the regional climate model performance by driving the RCMs with reanalyses, which is similar to driving...
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NARCCAP: http://www.narccap.ucar.edu/ The North American Regional Climate Change Assessment Program (NARCCAP) is an international program that will serve the climate scenario needs of the United States, Canada, and northern Mexico. NARCCAP is systematically investigating the uncertainties in future climate projections on the regional level. NARCCAP closely matches the regional climate models (RCMs) with multiple atmosphere-ocean general circulation models (AOGCMs) along with the A2 scenario from the Special Report on Emission Scenarios (SRES) over an area covering most of North America. NARCCAP also validates the regional climate model performance by driving the RCMs with reanalyses, which is similar to driving...
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NARCCAP: http://www.narccap.ucar.edu/ The North American Regional Climate Change Assessment Program (NARCCAP) is an international program that will serve the climate scenario needs of the United States, Canada, and northern Mexico. NARCCAP is systematically investigating the uncertainties in future climate projections on the regional level. NARCCAP closely matches the regional climate models (RCMs) with multiple atmosphere-ocean general circulation models (AOGCMs) along with the A2 scenario from the Special Report on Emission Scenarios (SRES) over an area covering most of North America. NARCCAP also validates the regional climate model performance by driving the RCMs with reanalyses, which is similar to driving...
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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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Predicted probability of marten year-round occurrence derived from future (2076-2095) climate projections and vegetation simulations. Projected marten distribution was created with Maxent (Phillips et al. 2006) using marten detections (N = 102, spanning 1993 – 2011) and eight predictor variables: mean potential evapotranspiration, mean annual precipitation, mean fraction of vegetation carbon burned, mean forest carbon (g C m2), mean fraction of vegetation carbon in forest, understory index (fraction of grass vegetation carbon in forest), average maximum tree LAI, and modal vegetation class. Future climate drivers were generated using statistical downscaling (simple delta method) of general circulation model projections,...
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Future winter (January – March) precipitation (mm; averaged over 2046-2065) at a 4 km x 4 km spatial resolution using future climate projections provided through CMIP3 (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Future climate drivers were generated using statistical downscaling (simple delta method) of general circulation model projections, in this case MIROC 3.2 medres (Hasumi and Emori 2004) under the A2 emission scenario (Naki?enovi? et al. 2000). The deltas (differences for temperatures and ratios for precipitation) were used to modify PRISM 4km historical baseline (Daly et al. 1994). Note: The MC1 model is described in data basin (http://databasin.org/climate-center/features/mc1-dynamic-global-vegetation-model)....
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NARCCAP: http://www.narccap.ucar.edu/ The North American Regional Climate Change Assessment Program (NARCCAP) is an international program that will serve the climate scenario needs of the United States, Canada, and northern Mexico. NARCCAP is systematically investigating the uncertainties in future climate projections on the regional level. NARCCAP closely matches the regional climate models (RCMs) with multiple atmosphere-ocean general circulation models (AOGCMs) along with the A2 scenario from the Special Report on Emission Scenarios (SRES) over an area covering most of North America. NARCCAP also validates the regional climate model performance by driving the RCMs with reanalyses, which is similar to driving...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal...
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These maps are a digital representation of the individual tree species range maps of the Atlas of the United States Trees by Elbert L. Little, Jr. The atlas shows the natural distribution or range of the native tree species of North America. These coverages represent 3 volumes of the atlas. Little's tree extent maps can be found in the Data Basin gallery here: http://app.databasin.org/app/pages/galleryPage.jsp?id=5e449f3c91304f498a96299a9d5460a3
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These maps are a digital representation of the individual tree species range maps of the Atlas of the United States Trees by Elbert L. Little, Jr. The atlas shows the natural distribution or range of the native tree species of North America. These coverages represent 3 volumes of the atlas. Little's tree extent maps can be found in the Data Basin gallery here: http://app.databasin.org/app/pages/galleryPage.jsp?id=5e449f3c91304f498a96299a9d5460a3
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These maps are a digital representation of the individual tree species range maps of the Atlas of the United States Trees by Elbert L. Little, Jr. The atlas shows the natural distribution or range of the native tree species of North America. These coverages represent 3 volumes of the atlas.
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These maps are a digital representation of the individual tree species range maps of the Atlas of the United States Trees by Elbert L. Little, Jr. The atlas shows the natural distribution or range of the native tree species of North America. These coverages represent 3 volumes of the atlas.
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These maps are a digital representation of the individual tree species range maps of the Atlas of the United States Trees by Elbert L. Little, Jr. The atlas shows the natural distribution or range of the native tree species of North America. These coverages represent 3 volumes of the atlas.
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These maps are a digital representation of the individual tree species range maps of the Atlas of the United States Trees by Elbert L. Little, Jr. The atlas shows the natural distribution or range of the native tree species of North America. These coverages represent 3 volumes of the atlas.
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These maps are a digital representation of the individual tree species range maps of the Atlas of the United States Trees by Elbert L. Little, Jr. The atlas shows the natural distribution or range of the native tree species of North America. These coverages represent 3 volumes of the atlas.
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Modal vegetation class over 1986 – 2005, simulated with MC1 (Lenihan et al. 2008) and a 10 km x 10 km grid cell size. Grid Value: Vegetation Type 1: ALPINE 2: SUBALPINE FOREST 3: COAST EVERGREEN FOREST 11: PINYON-JUNIPER 4: SIERRAN EVERGREEN FOREST 6: MIXED EVERGREEN FOREST 15: GREAT BASIN EVERGREEN WOODLAND 10: MIXED EVERGREEN WOODLAND 20: SAGEBRUSH STEPPE 17: C3 GRASSLAND 18: C4 GRASSLAND 19: CHAPARRAL 17: C3 GRASSLAND 18: C4 GRASSLAND 21: DESERT
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These maps are a digital representation of the individual tree species range maps of the Atlas of the United States Trees by Elbert L. Little, Jr. The atlas shows the natural distribution or range of the native tree species of North America. These coverages represent 3 volumes of the atlas. Little's tree extent maps can be found in the Data Basin gallery here: http://app.databasin.org/app/pages/galleryPage.jsp?id=5e449f3c91304f498a96299a9d5460a3
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The North American Regional Climate Change Assessment Program (NARCCAP) is an international program that will serve the climate scenario needs of the United States, Canada, and northern Mexico. NARCCAP is systematically investigating the uncertainties in future climate projections on the regional level. NARCCAP closely matches the regional climate models (RCMs) with multiple atmosphere-ocean general circulation models (AOGCMs) along with the A2 scenario from the Special Report on Emission Scenarios (SRES) over an area covering most of North America. NARCCAP also validates the regional climate model performance by driving the RCMs with reanalyses, which is similar to driving the models with observations. The basic...
Whooping cranes (Grus americana) of the Aransas-Wood Buffalo population migrate twice each year through the Great Plains in North America. Recovery activities for this endangered species include providing adequate places to stop and rest during migration, which are generally referred to as stopover sites. To assist in recovery efforts, initial estimates of stopover site use intensity are presented, which provide opportunity to identify areas across the migration range used more intensively by whooping cranes. We used location data acquired from 58 unique individuals fitted with platform transmitting terminals that collected global position system locations. Radio-tagged birds provided 2,158 stopover sites over 10...


map background search result map search result map Predicted probability of marten year-round occurrence, 2076-2095, Hadley CM3 A2, 800 m resolution Mean winter (January – March) precipitation, 2046-2065, MIROC A2, 4 km resolution Simulated vegetation class (mode), 1986-2005, Hadley CM3 A1fi, 10 km resolution Monthly Average Precipitation (1970-2000) from CGCM3-driven CRCM Monthly Average Minimum Daily Temperature (2040-2070) from CCSM-driven WRFG Monthly Average Minimum Daily Temperature (1979-2004) from NCEP-driven RCM3 Monthly Average Minimum Daily Temperature (1970-2000) from CGCM3-driven CRCM Monthly Average Maximum Daily Temperature (2040-2070) from CCSM-driven CRCM 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 Canadian yew (Taxus canadensis) extent, North America Black willow (Salix nigra) extent, North America Pitch pine (Pinus rigida) extent, North America Birchleaf Mountain-mahogany (Cercocarpus betuloides) extent, North America Big sagebrush (Artemisia tridentata) extent, North America Whitebark pine (Pinus albicaulis) extent, North America Lodgepole pine (Pinus contorta) extent, North America Noble fir (Abies procera) extent, North America Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for Louisiana Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for central North Carolina (NCcentral) Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for central North Carolina (NCcentral) Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for Louisiana Noble fir (Abies procera) extent, North America Predicted probability of marten year-round occurrence, 2076-2095, Hadley CM3 A2, 800 m resolution Mean winter (January – March) precipitation, 2046-2065, MIROC A2, 4 km resolution Simulated vegetation class (mode), 1986-2005, Hadley CM3 A1fi, 10 km resolution Birchleaf Mountain-mahogany (Cercocarpus betuloides) extent, North America Pitch pine (Pinus rigida) extent, North America Whitebark pine (Pinus albicaulis) extent, North America Big sagebrush (Artemisia tridentata) extent, North America Canadian yew (Taxus canadensis) extent, North America Lodgepole pine (Pinus contorta) extent, North America Black willow (Salix nigra) extent, North America 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 Monthly Average Precipitation (1970-2000) from CGCM3-driven CRCM Monthly Average Minimum Daily Temperature (1970-2000) from CGCM3-driven CRCM Monthly Average Maximum Daily Temperature (2040-2070) from CCSM-driven CRCM Monthly Average Minimum Daily Temperature (2040-2070) from CCSM-driven WRFG Monthly Average Minimum Daily Temperature (1979-2004) from NCEP-driven RCM3