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Upland Hardwood Ecosystem Integrity - Blueprint 2.1 This data represents the Blueprint 2.1 ecosystem integrity scores for the upland hardwood ecosystem within the South Atlantic LCC geography. To read more about the indicators, please visit the indicator page. Input Data and Mapping Steps Indicators (200 m resolution) were spatially modeled, tested, reviewed, and used as inputs to derive high integrity areas. Please see the Blueprint 2.1 data gallery for more information about indicator spatial data. The integrity scores for this system are based on the upland hardwood indicators, landscapes indicators, freshwater aquatic indicators, and waterscapes indicators. These indicators served as inputs into Zonation,...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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The Southern Rockies LCC is home to narrowleaf cottonwood (Populus angustifolia), common at elevations above 1800 m, and Fremont cottonwood [a common name regionally attached to the ecologically very similar Populus fremontii subsp. fremontii S. Watson and P. deltoides subsp. wislizenii (S. Watson) Eckenwalder, as well as their intergrades], which is typically found at elevations below 1800 m. This geographical information system (GIS) contains the data sets used in an assessment of the amount and character of native Fremont cottonwood forest remaining on the mainstem floodplains in 26 subbasins in the Upper Colorado River Basin (UCRB), published in 2007 (Andersen, D.C., D.J. Cooper, and K. Northcott. 2007. Dams,...
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Draft Pine & Prairie Ecosystem Integrity - Blueprint 2.2 This data represents the Blueprint 2.2 ecosystem integrity scores for the pine and prairie ecosystem within the South Atlantic LCC geography. To read more about the indicators, please visit the indicator page. Input Data and Mapping Steps Indicators (200 m resolution) were spatially modeled, tested, reviewed, and used as inputs to derive high integrity areas. Please see the Blueprint 2.2 data gallery for more information about indicator spatial data. The integrity scores for this system are based on the pine and prairie indicators, freshwater aquatic indicators, landscapes indicators, and waterscapes indicators. These indicators served as inputs into...
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This project identifies priority areas in the Columbia Plateau Ecoregion to implement conservation strategies for riverine and riparian habitat. This is tailored towards the Arid Lands Initiative (ALI) conservation goals and objectives, and provides the foundation for adaptation to a changing climate. This project adopts a “zoned” approach to identifying focal areas, connectivity management zones and zones for riparian habitat and ecological representation. Through a series of workshops and webinars, the ALI articulated its freshwater conservation goals and targets. Key aspects of these goals included: a focus on non-anadromous salmonid (salmon and steelhead) species, include riparian birds and waterfowl as key...
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Burn probability (BP) raster dataset predicted for the 2080-2100 period in the Rio Grande area was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5 Representative Concentration Pathway.
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The Offshore Santa Barbara Map Area lies within the eastern Santa Barbara Channel portion of the Southern California Bight. This geologically complex region forms a major biogeographic transition zone, separating the cold-temperate Oregonian Province north of Point Conception from the warm-temperate California Province to the south. Onshore of the map area, the city of Santa Barbara (population ~92,000) is the main coastal population center; it is part of a contiguous urban area that extends from Carpinteria to Goleta with a population of about 220,000. This urban area was developed south of the west-trending Santa Ynes Mountains on coalescing alluvial surfaces, uplifted marine terraces, and low west-trending hills...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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"Bird Conservation Regions (BCRs) are ecologically distinct regions in North America with similar bird communities, habitats, and resource management issues. They are based on the scale-flexible hierarchical framework of nested ecological units delineated by the Commission for Environmental Cooperation (CEC). These ecoregions encompass areas that are similar in their biotic (e.g., plant and wildlife) and abiotic (e.g., soils, drainage patterns, temperature, and annual precipitation) characteristics. BCRs may be partitioned into smaller ecological units when finer scale conservation planning, implementation, and evaluation are necessary. Conversely, BCRs may be aggregated to facilitate conservation partnerships...
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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 for the year 2070 using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical summer temperatures in the decade centered on 2070. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED BY 100 (which allows for more efficient...
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This dataset includes 800m resolution long-term average estimates of the contributions to the quick-flow runoff component of the water budget over the time period from 2000-2013 and annual estimates for the individual years. These estimates were developed with a new empirical regression for surface runoff data generated from a USGS-developed hydrograph separation program (PART) run on streamflow data from 1434 gaged watersheds as a function of surficial geology type (USGS), precipitation (PRISM), and soil hydraulic conductivity (STATSGO). Irrigated water quantities reported in the 2000, 2005, and 2010 USGS Water Use datasets are also incorporated as effective additional precipitation. The contributing input datasets...
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This data layer represents a potential Conservation Target (CT) for PFLCC's 'Hardwood Forested Uplands' Priority Resource (PR). The potential CT shown here is the protected/managed area. These layers were created for an initial investigation of potential CT's suggested at brainstorming workshops. The initial investigation entails locating available datasets to address the suggested CT as closely as possible and performing minimal analyses to determine their usefulness. The final set of CT's and their associated datasets will be chosen after targets (e.g., endpoints) are established as a threshold for achieving a conservation success for that CT. The data layer available for evaluating the area under management and/or...
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This data layer represents a tested potential Conservation Target (CT) for PFLCC's Priority Resource (PR): Coastal Uplands. The suggested potential CT was Species Richness. Species Richness is one component of biodiversity, an important aspect of landscape conservation. Biodiversity is important for maintaining the balance of natural communities and ecosystems upon which humans also depend. Florida has a high level of species diversity and endemism but the state is experiencing threats to its natural heritage from a variety of sources. The data used in this analysis in addition to the Priority Resource layer is the Species Richness layer from the CLIP 4.0 geodatabase. The core layer of the geodatabase is from the...
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This layer shows the results for initial analyses of the ' Connectivity' potential Conservation Target for the Freshwater Forested Wetlands Priority Resource (PR). Three datasets were used in this exploration of Connectivity: CLIP 4.0 Greenways, CLIP 4.0 Landscape Integrity, and the Local Connectedness layer, one of the core datasets in the Nature Conservancy's Resiliency Project. Each dataset provides a slightly different aspect of Connectivity. Each one of the potential data layers was masked using the PR raster to result in a spatial data layer of values within Freshwater Forested Wetlands. Further information on these analyses can be found in the Freshwater Forested Wetlands Initial Investigation of Conservation...
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The Sandy Hook artificial reef, located on the sea floor offshore of Sandy Hook, New Jersey was built to create habitat for marine life. The reef was created by the placement of heavy materials on the sea floor; ninety-five percent of the material in the Sandy Hook reef is rock. In 2000, the U.S. Geological Survey surveyed the area using a Simrad EM1000 multibeam echosounder mounted on the Canadian Coast Guard (CCG) ship Frederick G. Creed. The purpose of this multibeam survey, done in cooperation with the U.S. Army Corps of Engineers when the Creed was in the New York region in April 2000, was to map the bathymetry and backscatter intensity of the sea floor in the area of the Sandy Hook artificial reef. The collected...


map background search result map search result map Mean Maximum Summer Temperature (deg. C) for Northeast, Projected for 2070, RCP8.5, Ensemble GCM Results Upper Colorado River Basin River Thalweg Burn Probability predicted for 2080 to 2100 for Rio Grande study area Offshore Santa Barbara Web Services Annual average quick-flow runoff across the CONUS, 2000-2013 Base layers for NY WSC gages mapper Water-Table Data for the NJ Coastal Plain, 1986-1998 Upland Hardwood: Ecosystem Score V 2.1 White-nose Spread Map GIS Service Sea-Level Affecting Marshes Model 0.5m SLR - 2075 Draft Pine & Prairie: Ecosystem Score V 2.2 Selection frequency score Figure(6) Sea-Level Affecting Marshes Model 2.0m SLR - base year FFW  Connectivity HFU Protected Area GeoTIFF image of the backscatter intensity of the sea floor of the Sandy Hook artificial reef (2-m resolution, Mercator, WGS 84) CU Species Richness MyMapService Basin-wide Restoration Opportunities - Cotton (2017) GeoTIFF image of the backscatter intensity of the sea floor of the Sandy Hook artificial reef (2-m resolution, Mercator, WGS 84) Offshore Santa Barbara Web Services Water-Table Data for the NJ Coastal Plain, 1986-1998 Upper Colorado River Basin River Thalweg Burn Probability predicted for 2080 to 2100 for Rio Grande study area MyMapService Selection frequency score Figure(6) HFU Protected Area CU Species Richness FFW  Connectivity Base layers for NY WSC gages mapper Sea-Level Affecting Marshes Model 2.0m SLR - base year Sea-Level Affecting Marshes Model 0.5m SLR - 2075 Upland Hardwood: Ecosystem Score V 2.1 Draft Pine & Prairie: Ecosystem Score V 2.2 Mean Maximum Summer Temperature (deg. C) for Northeast, Projected for 2070, RCP8.5, Ensemble GCM Results Basin-wide Restoration Opportunities - Cotton (2017) White-nose Spread Map GIS Service Annual average quick-flow runoff across the CONUS, 2000-2013