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This cultural resource indicator prioritizes places to create new parks that would fill gaps in equitable access to open space within socially vulnerable communities. It identifies areas where residents currently lack access to parks within a 10-minute walk (accounting for walkable road networks and access barriers like highways and fences), then prioritizes based on park need using demographic and environmental metrics. This indicator originates from the Trust for Public Land’s ParkServe park priority areas.Reason for SelectionProtected natural areas help foster a conservation ethic by providing opportunities for people to connect with nature, and also support ecosystem services like offsetting heat island effects...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Cultural Indicator,
Data,
SA Science Catalog,
SECAS,
Southeast Conservation Blueprint,
This indicator prioritizes areas for new land protection within the Mississippi Alluvial Valley (MAV) based on benefits to forest breeding birds that depend on large interior cores of bottomland hardwood habitat (Swainson’s warbler, cerulean warbler, swallow-tailed kite). The model considers core size, the amount of existing protected land within the forest patch, proximity to reforestation priority areas, and risk of conversion to agriculture based on flooding frequency. The highest scores represent drier, unprotected forest patches with cores at least 2,000 ha (~5,000 ac) that are adjacent to priority areas from a complementary reforestation model also developed by the Lower Mississippi Valley Joint Venture (LMVJV)....
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Data,
SA Science Catalog,
SECAS,
Southeast Conservation Blueprint,
Terrestrial Indicator,
This .zip folder contains final ancillary data layers used to create Southeast Conservation Blueprint 2022 that were not included in the main data download package.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Coastal and marine,
Cultural,
Data,
Freshwater,
Indicator,
This indicator measures known and predicted suitable locations of hardbottom habitat and deep-sea corals. It combines multiple datasets from the National Oceanic and Atmospheric Administration and The Nature Conservancy.Reason for SelectionHardbottom provides an anchor for important seafloor habitats such as deep-sea corals, plants, and sponges. Many deep-sea corals form tree-like shapes and complex reefs that provide valuable habitat structure. Hardbottom and associated deep-sea coral communities support a wide range of invertebrate and fish species (NOAA 2018).Input Data South Atlantic Blueprint 2021 extent National Oceanic and Atmospheric Administration (NOAA) U.S. Northeast/Mid-Atlantic Deep-Sea Coral Habitat...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Coastal and Marine Indicator,
Data,
SA Science Catalog,
SECAS,
Southeast Conservation Blueprint,
These data represent a land facet classification created for the Pacific Northwest Duke Landscape Resilience project.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ALI,
Arid Lands Initiative,
California,
Data,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
We will develop an approach to identify fire refugia in Rocky Mountain ecosystems of the U.S. and Canada then test the function of refugia for biodiversity conservation under current and future climate/fire scenarios. Our products will be designed to inform decision-making in land/easement acquisition, identification of critical areas for maintaining landscape and process connectivity/permeability, and extension of the temporal context for spatial conservation decision making. The approach will be testable for transferability to other locations and ecosystems.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conservation NGOs,
Data,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Federal resource managers,
LCC Network Science Catalog,
We have completed an array of high-resolution simulations of present and future climate over Western North America (WNA) and Eastern North America (ENA) by dynamically downscaling global climate simulations using a regional climate model, RegCM3. The simulations are intended to provide long time series of internally consistent surface and atmospheric variables for use in climate-related research. In addition to providing high-resolution weather and climate data for the past, present, and future, we have developed an integrated data flow and methodology for processing, summarizing, viewing, and delivering the climate datasets to a wide range of potential users. Our simulations were run over 50- and 15-kilometer model...
The zip file below contains raw input and output files for the 4 final version of the ALI Marxan model. The versions all have the same number of runs (100), number of iterations (35 million), SPF factor for each conservation feature,(100) and BLM (0.35). They vary in overall goal levels and whether or not facets were targeted. The four versions are: (1) high overall goal levels, facets not targeted;(2) medium overall goal levels, facets not targeted; (3) medium overall goal levels, facets not targeted; (4) medium overall goal levels, facets targeted at 15%. Please see the associated report (ALI 2013) for further details, and contact Madeline with any questions.
We will develop an approach to identify fire refugia in Rocky Mountain ecosystems of the U.S. and Canada then test the function of refugia for biodiversity conservation under current and future climate/fire scenarios. Our products will be designed to inform decision-making in land/easement acquisition, identification of critical areas for maintaining landscape and process connectivity/permeability, and extension of the temporal context for spatial conservation decision making. The approach will be testable for transferability to other locations and ecosystems.
We will develop an approach to identify fire refugia in Rocky Mountain ecosystems of the U.S. and Canada then test the function of refugia for biodiversity conservation under current and future climate/fire scenarios. Our products will be designed to inform decision-making in land/easement acquisition, identification of critical areas for maintaining landscape and process connectivity/permeability, and extension of the temporal context for spatial conservation decision making. The approach will be testable for transferability to other locations and ecosystems.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conservation NGOs,
Data,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Federal resource managers,
LCC Network Science Catalog,
This categorical CWD raster was developed from a project-wide CWD raster. For each of the five fracture zones, the CWD raster was partitioned into zone-specific, 10 equal-area class map, ranging from low CWD to high CWD.
This GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the Washington Department of Fish and Wildlife (WDFW) and the Washington Department of Transportation (WSDOT). This dataset quantifies current wildlife habitat connectivity patterns for the Columbia Plateau Ecoregion in Washington, Oregon, and Idaho. Available WHCWG raster data include model base layers, resistance, habitat, cost-weighted distance, and landscape integrity. Grid cell size is 90 m...
These data represent modeled stream temperatures for a portion of a larger dataset known as the Great Northern Landscape Conservation Cooperative (GNLCC) (https://www.fws.gov/science/catalog). This metadata record is a combined description for two spatial data feature types, vector lines and points, which cover the same geographic area. The line features are derived from NHDPlus (http://www.horizon-systems.com/NHDPlus/index.php) (USEPA and USGS, 2010) stream lines and the point data represent 1 km intervals along the NHDPlus stream network. Both datasets contain identical modeled stream temperature attributes. These modeled stream temperatures were generated as part of the U.S. Forest Service NorWeST stream temperature...
These data represent stream temperature observation locations for a portion of a larger study area known as the Great Northern Landscape Conservation Cooperative (GNLCC) https://www.fws.gov/science/catalog. These data were collected and processed as part of the NorWeST stream temperature project http://www.fs.fed.us/rm/boise/AWAE/projects/NorWeST.htmlThese thermograph locations and the attendant temperature observations were used as the baseline data for the NorWeST stream temperature modeling project. As a result, modeled temperatures will be most reliable in areas with the greatest density of thermographs. These data reside in ESRI shapefile format, ArcGIS version 9.3. The point shapefile extents correspond to...
The download for this dataset includes TNC’s full Northeastern Aquatic Habitat Classification System: stream size, stream temperature, stream gradient, stream geology, lakes and catchments. This dataset represents the results (9/30/2008) of the Northeastern Aquatic Habitat Classification System (NAHCS) GIS map for streams and rivers. This classification focused on mapping a stream habitat types across 13 northeastern states (ME, NH, VT, MA, CT, RI, NY, NJ, PA, MD, DC, DE, VA, WV). Stream and river centerlines were extracted from the USGS National Hydrography Dataset Plus (NH-Plus) 2006 1:100,000 data. These reaches were attributed and placed into classes representing their biopysical setting in terms of stream...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Connecticut,
Connecticut,
Data,
Delaware,
Delaware,
This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation.This dataset depicts the potential capability of the landscape throughout the CT River Watershed to provide habitat for Eastern Meadowlark (Sturnella magna) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat...
This data product contains estimates of habitat quality for black bear. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011). Habitat variables varied among species but included vegetation type, terrain ruggedness, topographic position index (TPI), road density, distance to water,...
Our objective was to model specific mean daily flow (mean daily flow divided by drainage area [cubic feet per second per square mile]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.We used a random forest modeling approach to model the relation between specific mean daily flow on gaged streams (115 gages) and environmental variables. We then projected specific mean...
Our objective was to model specific minimum flow (mean of the annual minimum flows divided by drainage area [cubic feet per second per square mile]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between specific minimum flow on gaged streams (115 gages) and environmental variables. We then projected...
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