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The National Cohesive Wildland Fire Management Strategy, initiated in 2009 and finalized in 2014, provides a national vision for wildland fire management. This highly collaborative effort establishes three overarching goals, and describes stakeholder-driven processes for achieving them: (1) resilient landscapes; (2) fire-adapted communities; and (3) safe and effective wildfire response. The scientific rigor of this program was ensured with the establishment of the National Science and Analysis Team (NSAT). The main tasks of NSAT were to compile credible scientific information, data, and models to help explore national challenges and opportunities, identify a range of management options, and help set national priorities...
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The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk and range-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the mean of the minimum air temperature (degrees C) for December, January, and February for the year 2010 using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical winter temperatures in the decade centered on 2010 rather than the actual temperatures during 2010. MAP UNITS ARE TEMP. IN DEGREES...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the mean of the minimum air temperature (degrees C) for December, January, and February using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical winter temperatures in the decade centered on 2070 rather than the actual temperatures during 2070. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the mean of the maximum air temperature (degrees C) for June, July, and August using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical summer temperatures in the decade centered on 2030 rather than the actual temperatures during 2030. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED BY 100 (which...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the growing season degree days (number of days in which the average temperature is > 10 degrees C) using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical growing season degree days for the years 2020 rather than the actual growing season degree days. MAP UNITS ARE THE SUM OF DEGREES THAT...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the growing season degree days (number of days in which the average temperature is > 10 degrees C) using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical growing season degree days for the year 2030 rather than the actual growing season degree days. MAP UNITS ARE THE SUM OF DEGREES THAT...
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NOTE: Two data download links are provided. The first includes the data described below as a geographic point layer and as a .csv file. The second link is a data package containing: the annual probability of observing one individual, the annual probability of encountering a large flock, and the monthly probability of observing one individual, for the full set of 24 species (in .csv format), and the associated report “Mapping the distribution, abundance and risk assessment of marine birds in the Northwest Atlantic.” To improve display of this data on Data Basin the point data was converted to a raster grid. This map depicts the mean predicted probability of observing at least one individual Leach's Storm-petrel...
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NOTE: Two data download links are provided. The first includes the data described below as a geographic point layer and as a .csv file. The second link is a data package containing: the annual probability of observing one individual, the annual probability of encountering a large flock, and the monthly probability of observing one individual, for the full set of 24 species (in .csv format), and the associated report “Mapping the distribution, abundance and risk assessment of marine birds in the Northwest Atlantic.” To improve display of this data on Data Basin the point data was converted to a raster grid. This map depicts the mean predicted probability of observing at least one individual Roseate Tern (Sterna...
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This dataset was last updated February 2017. This version incorporates a revised version of the land cover classification, Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1 developed by the University of Massachusetts, which included the addition of The Nature Conservancy’s Northeast lakes and ponds classification. The Sanderling (Calidris alba) is a small sandpiper that stops during spring and fall migration (and in the winter) on sandy coastal beaches throughout the North Atlantic region. It has been chosen to represent the habitat needs of other species of wildlife that also use sandy beaches and similar coastal intertidal areas. This dataset depicts the potential capability of the landscape throughout...
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The Landcover Mosaic map (LCM) can be used to answer the question: What is the mixture of agricultural/urban/natural landcover types surrounding a given land parcel?Researchers at the U.S. Forest Service Southern Research Station have utilized the National Land Cover Database (NLCD) to calculate a suite of land cover and forest fragmentation metrics at landscape scales. These datasets yield rich spatial information about urbanization, its effects on forests, and how urban areas interface and mix with rural, agricultural, and forest landscapes.The Landcover Mosaic Map (Landscape Mosaic Pattern) illustrates the mixture of agricultural, developed, and semi-natural land cover types within 15-hectare neighborhoods (about...
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Researchers at the U.S. Forest Service Southern Research Station have utilized the National Land Cover Database (NLCD) to calculate a suite of land cover and forest fragmentation metrics at landscape scales. These datasets yield rich spatial information about urbanization, its effects on forests, and how urban areas interface and mix with rural, agricultural, and forest landscapes.The Forest Area Density (FDEN) map (Landscape Forest Density) illustrates the proportion of the landscape around a given forest area that is also forested. Areas with low forest density may be fragmented by agricultural land use and/or urban and exurban development. FDEN map is colored according to the amount of other forest in a surrounding...
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USFS Forest Inventory Analysis Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the U.S. Department of Agriculture (USDA) Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. The U.S. has been providing national-scale estimates of forest carbon stocks and stock change to meet United Nations Framework Convention on Climate Change reporting requirements for years. Although these currently are provided as national estimates by pool and year to meet greenhouse gas monitoring requirements, there is growing...
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The Comprehensive Habitat Type Dataset was developed by merging NOAA Benthic Habitat Atlas (BHA), Ecological Mapping Systems of Texas (aka Texas Ecological Systems Database, TESD), and National Wetlands Inventory (NWI) data within the study area for the ICF 2012 project (CGP LCC 2012-002 Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast). BHA data was used to depict mangroves, oysters, and patchy, continuous, and discontinuous seagrass beds where BHA existed within the study area. NWI data was used for all wetland/intertidal environments where NWI data existed within the study area. TESD data was used for all upland environments, and weltand/intertidal...
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The Comprehensive Habitat Type Dataset was developed by merging NOAA Benthic Habitat Atlas (BHA), Ecological Mapping Systems of Texas (aka Texas Ecological Systems Database, TESD), and National Wetlands Inventory (NWI) data within the study area for the ICF 2012 project (CGP LCC 2012-002 Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast). BHA data was used to depict mangroves, oysters, and patchy, continuous, and discontinuous seagrass beds where BHA existed within the study area. NWI data was used for all wetland/intertidal environments where NWI data existed within the study area. TESD data was used for all upland environments, and weltand/intertidal...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. The Condition Index ranks pixels (10-m) according to how well they meet the Desired State for the Tidal Marsh habitat system, which is described qualitatively and quantitatively in the GCPO LCC’s draft Integrated Science Agenda (v4). Higher values indicate sites closer to the Desired State. Value of 2 indicates areas appropriate for restoration but currently under an alternative land use (i.e. potential habitat). Value of 1 indicates areas projected by USGS to become Tidal Marsh under a 2-m sea-level rise scenario. Please see...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. The Management Opportunity action map for the Upland Hardwood (Woodland) habitat system ranks pixels (250-m) for 3 general classes of conservation actions. Maintenance pixels (values 7-9) are currently estimated to meet the site condition Endpoints in the GCPO LCC’s draft Integrated Science Agenda (v4). Enhancement pixels (values 4-6) are those that are currently classified as Upland Hardwood (Woodland) but do not meet the site condition Endpoints in the Science Agenda. Restoration pixels (values 1-3) are those that are currently...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. It represents a relative ranking of HUC12 watersheds according to the quantity and quality of habitat as described in the GCPO LCC’s draft Integrated Science Agenda (v4). Watersheds (HUC12) were ranked by the presence, quantity and quality of the Upland Hardwood (Woodland) habitat system (includes upland hardwood forest, oak-hickory forest, and oak-hickory woodlands) within the 5 sub-geographies of the GCPO LCC region. Once ranked, watersheds were classified (e.g., “Top 10%”) based on the proportion of the total Upland Hardwood...


map background search result map search result map Mean Maximum Summer Temperature (deg. C) for Northeast, Projected for 2030, RCP4.5, Ensemble GCM Results Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2010, RCP8.5, Ensemble GCM Results Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2070, RCP8.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2020, RCP 4.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2030, RCP 8.5, Ensemble GCM Results Potential Habitat Use for the Clapper Rail in the Central Texas Coast Potential Habitat Use for the Hudsonian Godwit in the Central Texas Coast Predicted Annual Probability of Observing at least One Leach's Storm-petrel Predicted Annual Probability of Observing at least One Roseate Tern Landscape Capability for Sanderling, Version 3.1, Northeast U.S. Total Forest Carbon Density 2000-2009 U.S. Forest Service National Cohesive Fire Strategy Dataset Percent Forest Industry Jobs U.S. Forest Service Landscape Mosaic Pattern U.S. Forest Service Landscape Forest Density Percent catchment under crop-rivers Tidal Marsh Condition Index Upland Hardwood Woodland Management Opportunities Upland Hardwood Woodland Watershed Ranks PRMS_Model_IHA_Metrics_Median_Future_Difference At-risk and range restricted species models: Geographic Datasets for Lindera melissifolia (Pondberry) Potential Habitat Use for the Clapper Rail in the Central Texas Coast Potential Habitat Use for the Hudsonian Godwit in the Central Texas Coast Predicted Annual Probability of Observing at least One Leach's Storm-petrel Predicted Annual Probability of Observing at least One Roseate Tern Tidal Marsh Condition Index Upland Hardwood Woodland Watershed Ranks At-risk and range restricted species models: Geographic Datasets for Lindera melissifolia (Pondberry) Upland Hardwood Woodland Management Opportunities U.S. Forest Service National Cohesive Fire Strategy Dataset Percent Forest Industry Jobs Percent catchment under crop-rivers U.S. Forest Service Landscape Mosaic Pattern U.S. Forest Service Landscape Forest Density Landscape Capability for Sanderling, Version 3.1, Northeast U.S. Mean Maximum Summer Temperature (deg. C) for Northeast, Projected for 2030, RCP4.5, Ensemble GCM Results Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2010, RCP8.5, Ensemble GCM Results Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2070, RCP8.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2020, RCP 4.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2030, RCP 8.5, Ensemble GCM Results Total Forest Carbon Density 2000-2009 PRMS_Model_IHA_Metrics_Median_Future_Difference