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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data release comprises a dataset that contains sample collection information and microsatellite genotypes, and another dataset that contains single nucleotide polymorphism (SNP) genotypes with sample collection information for populations of white-tailed ptarmigan across the species' range. There is also an additional file (accession numbers.xlsx) linking samples to accession numbers in Genbank. This data was collected in order to address the following: The delineation of intraspecific units that are evolutionarily and demographically distinct is an important step in the development of species-specific management plans. Neutral genetic variation has served as the primary data source for delineating units for...
These data represent simulated soil temperature and moisture conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) quantify the direction and magnitude of expected changes in several measures of soil temperature and soil moisture, including the key variables used to distinguish the regimes used in the R and R categories; 2) assess how these changes will impact the geographic distribution of soil temperature and moisture regimes; and 3) explore the implications for using R and R categories for estimating future ecosystem resilience and resistance.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered geospatial PDF Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered geospatial PDF Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
For the past six years, the Bureau of Reclamation (BOR) has funded the USGS to study fish responses to restoration efforts and to construct a model relating stream habitat with fish population dynamics in the Methow River Basin, a tributary of the Columbia River. In the proposed study, we will use fish growth, distribution and movement (USGS data), foodweb data (Idaho State University), river flow (BOR data that we will expand) and water temperature data (from numerous agencies) to develop spatially-explicit bioenergetics models to assess effects of climate change on the viability of resident salmonid populations based on models being developed by USGS. The bioenergetics models will integrate such things as climate-change...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alberta,
British Columbia,
Bull Trout,
Climate Change,
Climate Change,
The GNLCC Multi-dimensional Synthesis is a synthesis of existing information in four categories to promote a common understanding of situation, existing information and information gaps, as well as providing an index of programmatic, resource and other climate and landscape related information for GNLCC. The synthesis includes: the GNLCC Resource Directory (organizations and initiatives); climate and ecological response (what does existing and projected climate information say and what are expected ecological effects); and monitoring (who is monitoring what).FY2011Objectives:Provide a Framework from which to organize the various monitoring and evaluation efforts. Included are key monitoring and evaluation questions...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alberta,
British Columbia,
CO-2,
CO-3,
CO-3,
We propose a collaborative project with the USGS, Wyoming State Climate Office, USFWS, USFS, and the NPS whereby we will assemble and maintain long-term records of climate from key stations in and around the Great Northern LCC and subject these records to a rigorous series of QA/QC procedures. Where appropriate we will use best available practices to infill missing data, and we will develop station histories (e.g., details of station moves, instrumentation changes, etc.) as a context for interpreting these records. We will then rigorously analyze patterns of long-term (50-100 years) variability and trends in these datasets, and provide summaries designed to meet the needs of non-climate specialists working in the...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alberta,
British Columbia,
CO-2,
CO-3,
CO-3,
The Canadian portion of the Crown of the Continent (CCoC) ecosystem has been identified as crucial for wolverines north of the US border to rescue or supply individuals and genes through dispersal to the highly fragmented population in the northern US Rocky Mountains. Highway 3, motorized recreation, and a growing resource extraction industry, however, increasingly fragment this critical landscape. This project will capitalize on multi-year wolverine occupancy and genetic data collected noninvasively in a >40,000 km2 area encompassing the core protected areas of the central Canadian Rocky Mountains to the north; and Glacier-Waterton Lakes National Park complex in the south. Our goal is to obtain spatially-explicit...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alberta,
Alpine,
Applications and Tools,
British Columbia,
Climate Change,
This dataset represents roads in the Crown of the Continent Ecosystem (with a 50km buffer). Developed with the most recently available data and represents roads in ~2016. This dataset was developed by the Crown Managers Partnership, as part of a transboundary collaborative management initiative for the Crown of the Continent Ecosystem, based on commonly identified management priorities that are relevant at the landscape scale. The CMP is collaborative group of land managers, scientists, and stakeholder in the CCE. For more information on the CMP and its collaborators, programs, and projects please visit: http://crownmanagers.org/ This dataset has been produced by merging the "National Road Network (NRN) - AB,...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alberta,
B.C,
CCE,
MSDI,
Montana,
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