Filters: Tags: Habitat (X)
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In 30 surveys, we mapped 21,486 birds comprising 88 species “interact with” the intertidal habitat. Each full “survey” represents a unique month-year-tide combination (but not necessarily a unique day). Specifically, for each of 15 months between January 2012 and March 2013 we conducted separate, but temporally adjacent high-tide and low-tide bird surveys (30 in total) throughout the intertidal habitats. Back to back surveys within the same month are not meant to be independent measures of bird abundance and should be averaged to get an idea of bird abundance in a particular month. Birds were counted if they were in the intertidal habitat. We also counted some species, like raptors, if they were perched in adjacent...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Carpinteria,
Carpinteria Salt Marsh Reserve,
Santa Barbara County,
bird,
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
This raster represents a continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California. HSIs were calculated for spring (mid-March to June), summer (July to mid-October), and winter (November to March) sage-grouse seasons, and then multiplied together to create this composite dataset.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: California,
Great Basin,
Greater Sage-Grouse,
Habitat,
Nevada,
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
All gillnet data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Gillnet Tables contain data collected from the research vessel deploying various gear used for gillnet data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Gillnet are: GN_Annulus.csv, GN_Catch.csv, GN_Effort.csv, GN_Fish.csv, GN_L, GN_LF.csv, GN_OP.csv, GN_Prey.csv, GN_Stomach.csv, LMMB_Fish_Prey.csv, and LMMB_Invert_Prey.csv Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being...
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
The Utah Well & Spring database contains data of 2981 wells, springs, and miscellaneous sites such as collector wells and mines. It is available from the Utah Geological Survey at:http://geology.utah.gov/emp/geothermal/wells_springs_database.htmThe Conservation Biology Institute selected geothermal wells from this database. The geothermal well layer was then used in further analysis and modeling.
This dataset depicts polygons of white-tailed prairie dog colonies in Colorado digitized from figure 1 in the White-tailed Prairie Dog Conservation Assessment (Seglund et al. 2004). This dataset should be used with caution because there were few reference points to use during georeferencing. The original GIS data should be obtained directly from Seglund et al. if possible.
This map shows habitat connectivity compiled from multiple sources. Habitat connectivity was modeled separately in California and Arizona. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited...
This dataset depicts the current predicted distribution of major invasive vegetation in the State of Utah.Invasive classes were extracted from multiple datasets and then combined into a single raster dataset. A cell value of 1 was assigned where invasives were present and a value of 0 was assigned where they were absent .This invasive species composite (Upland, Riparian, Uncharacteristic Exotic Vegetation) was created from:1) LANDFIRE 120 EVT2180: Introduced Riparian Vegetation2181: Introduced Upland Vegetation-Annual Grassland2182: Introduced Upland Vegetation-Perennial Grassland and Forbland2183: Introduced Upland Vegetation-Annual and Biennial Forbland2184: Introduced Annual Grassland2) NatureServe Landcover...
This file is a feature class representing UCS_UT_COP_AI_RU_HUC6_EA_Poly_Densities
Raster dataset (30m resolution mask containing only "1" values) matching the 1 km resolution reporting units grid created for the Colorado Plateau Ecoregion.This dataset was used in the Utah-Colorado Plateau REA Stepdown terrestrial intactness analysis for summarizing raster input data to 1 km reporting units.
This dataset depicts the current predicted distribution of Roundtail Chub across the state of Utah, based on overlap with Natural Heritage Program Element occurrence data.
The study area for this Rapid Ecoregional Assessment (REA) COP 2014
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