This raster dataset represents predicted Area-adjusted Frequency (Smoothed AAF) of golden eagle nest sites. This surface shows gaussian-smoothed, continuous AAF values, which were estimated from predicted RND and can range from 0-infinity. AAF values <1 represent lower than expected densities of nest sites, and values >1 represent greater than expected densities. AAF values in this raster were smoothed to the approximate scale of golden eagle nesting core-use areas to provide a more biologically relevant depiction of eagle presence relative to breeding habitat. Development of golden eagle RND models are described in Dunk JR, Woodbridge B, Lickfett TM, Bedrosian G, Noon BR, LaPlante DW, et al. (2019) Modeling spatial variation in density of golden eagle nest sites in the western United States. PLoS ONE 14(9): e0223143 (https://doi.org/10.1371/journal.pone.0223143). Additional information on model products (including RND and AAF surfaces), and guidance for their use is provided at https://ecos.fws.gov/ServCat/Reference/Profile/112631. Model data and products are available for download at https://ecos.fws.gov/ServCat/Reference/Profile/111283.

This raster dataset represents predicted Area-adjusted Frequency (Smoothed AAF) of golden eagle nest sites. This surface shows gaussian-smoothed, continuous AAF values, which were estimated from predicted RND and can range from 0-infinity. AAF values <1 represent lower than expected densities of nest sites, and values >1 represent greater than expected densities. AAF values in this raster were smoothed to the approximate scale of golden eagle nesting core-use areas to provide a more biologically relevant depiction of eagle presence relative to breeding habitat. Development of golden eagle RND models are described in Dunk JR, Woodbridge B, Lickfett TM, Bedrosian G, Noon BR, LaPlante DW, et al. (2019) Modeling spatial variation in density of golden eagle nest sites in the western United States. PLoS ONE 14(9): e0223143 (https://doi.org/10.1371/journal.pone.0223143). Additional information on model products (including RND and AAF surfaces), and guidance for their use is provided at https://ecos.fws.gov/ServCat/Reference/Profile/112631. Model data and products are available for download at https://ecos.fws.gov/ServCat/Reference/Profile/111283.

This layer provides slope percent rise values calculated dynamically from the elevation data (within the current extents) using the server-side slope function applied on the Terrain layer. Percent of slope is determined by dividing the amount of elevation change by the amount of horizontal distance covered (sometimes referred to as "the rise divided by the run"), and then multiplying the result by 100. The values range from 0 to essentially infinity. When the slope angle equals 45 degrees, the rise is equal to the run. Expressed as a percentage, the slope of this angle is 100 percent. As the slope approaches vertical (90 degrees), the percentage slope approaches infinity.Units: Percent (%)Update Frequency: QuarterlyCoverage: World/GlobalData Sources: This layer is compiled from a variety of best available sources from several data providers. To see the coverage and extents of various datasets comprising this service in an interactive map, see World Elevation Coverage Map.

WARNING: Slope is computed in the projection specified by the client software. The server resamples the elevation data to the requested projection and pixel size and then computes slope. Slope should be requested in a projection that maintains correct scale in x and y directions for the area of interest. Using geographic coordinates will give incorrect results. For the WGS84 Mercator and WGS Web Mercator (auxiliary sphere) projections used by many web applications, a correction factor has been included to correct for latitude-dependent scale changes.What can you do with this layer?Use for Visualization: No. This image service provides numeric values indicating terrain characteristics. Due to the limited range of values, this service is not generally appropriate for visual interpretation, unless the client application applies an additional color map. Use for Analysis: Yes. This layer provides numeric values indicating slope percent, calculated based on the defined cell size. Cell size has an effect on the slope values. There is a limit of 5000 rows x 5000 columns. For Slope values in degrees, use Terrain - Slope Degrees layer. For more details such as Data Sources, Mosaic method used in this layer, please see the Terrain layer. This layer allows query, identify, and export image requests. The layer is restricted to a 5,000 x 5,000 pixel limit in a single export image request.This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.

This raster dataset represents predicted Area-adjusted Frequency (Classified AAF) of golden eagle nest sites. This surface shows AAF classes, which are identified by a numeric code (1-7). Each code corresponds to a descriptive density category representing a range of continuous AAF values (1:very low density <- 0-0.083, 2:low density <- 0.083-0.2, 3:moderate-low density <- 0.2-0.5, 4:neutral density <- 0.5-2, 5:moderate-high density <- 2-5, 6:high density <- 5-12, 7:very high density <- 12-infinity). Continuous AAF values were estimated from predicted RND and then reclassified to the density categories to provide a more easily interpreted visualization of relative AAF. Development of golden eagle RND models are described in Dunk JR, Woodbridge B, Lickfett TM, Bedrosian G, Noon BR, LaPlante DW, et al. (2019) Modeling spatial variation in density of golden eagle nest sites in the western United States. PLoS ONE 14(9): e0223143 (https://doi.org/10.1371/journal.pone.0223143). Additional information on model products (including RND and AAF surfaces), and guidance for their use is provided at https://ecos.fws.gov/ServCat/Reference/Profile/112631. Model data and products are available for download at https://ecos.fws.gov/ServCat/Reference/Profile/111283.

This raster dataset represents predicted Area-adjusted Frequency (Smoothed AAF) of golden eagle nest sites. This surface shows gaussian-smoothed, continuous AAF values, which were estimated from predicted RND and can range from 0-infinity. AAF values <1 represent lower than expected densities of nest sites, and values >1 represent greater than expected densities. AAF values in this raster were smoothed to the approximate scale of golden eagle nesting core-use areas to provide a more biologically relevant depiction of eagle presence relative to breeding habitat. Development of golden eagle RND models are described in Dunk JR, Woodbridge B, Lickfett TM, Bedrosian G, Noon BR, LaPlante DW, et al. (2019) Modeling spatial variation in density of golden eagle nest sites in the western United States. PLoS ONE 14(9): e0223143 (https://doi.org/10.1371/journal.pone.0223143). Additional information on model products (including RND and AAF surfaces), and guidance for their use is provided at https://ecos.fws.gov/ServCat/Reference/Profile/112631. Model data and products are available for download at https://ecos.fws.gov/ServCat/Reference/Profile/111283.

This raster dataset represents predicted Area-adjusted Frequency (Classified AAF) of golden eagle nest sites. This surface shows AAF classes, which are identified by a numeric code (1-7). Each code corresponds to a descriptive density category representing a range of continuous AAF values (1:very low density <- 0-0.083, 2:low density <- 0.083-0.2, 3:moderate-low density <- 0.2-0.5, 4:neutral density <- 0.5-2, 5:moderate-high density <- 2-5, 6:high density <- 5-12, 7:very high density <- 12-infinity). Continuous AAF values were estimated from predicted RND and then reclassified to the density categories to provide a more easily interpreted visualization of relative AAF. Development of golden eagle RND models are described in Dunk JR, Woodbridge B, Lickfett TM, Bedrosian G, Noon BR, LaPlante DW, et al. (2019) Modeling spatial variation in density of golden eagle nest sites in the western United States. PLoS ONE 14(9): e0223143 (https://doi.org/10.1371/journal.pone.0223143). Additional information on model products (including RND and AAF surfaces), and guidance for their use is provided at https://ecos.fws.gov/ServCat/Reference/Profile/112631. Model data and products are available for download at https://ecos.fws.gov/ServCat/Reference/Profile/111283.

This raster dataset represents predicted Area-adjusted Frequency (Smoothed AAF) of golden eagle nest sites. This surface shows gaussian-smoothed, continuous AAF values, which were estimated from predicted RND and can range from 0-infinity. AAF values <1 represent lower than expected densities of nest sites, and values >1 represent greater than expected densities. AAF values in this raster were smoothed to the approximate scale of golden eagle nesting core-use areas to provide a more biologically relevant depiction of eagle presence relative to breeding habitat. Development of golden eagle RND models are described in Dunk JR, Woodbridge B, Lickfett TM, Bedrosian G, Noon BR, LaPlante DW, et al. (2019) Modeling spatial variation in density of golden eagle nest sites in the western United States. PLoS ONE 14(9): e0223143 (https://doi.org/10.1371/journal.pone.0223143). Additional information on model products (including RND and AAF surfaces), and guidance for their use is provided at https://ecos.fws.gov/ServCat/Reference/Profile/112631. Model data and products are available for download at https://ecos.fws.gov/ServCat/Reference/Profile/111283.

This raster dataset represents predicted Area-adjusted Frequency (Classified AAF) of golden eagle nest sites. This surface shows AAF classes, which are identified by a numeric code (1-7). Each code corresponds to a descriptive density category representing a range of continuous AAF values (1:very low density <- 0-0.083, 2:low density <- 0.083-0.2, 3:moderate-low density <- 0.2-0.5, 4:neutral density <- 0.5-2, 5:moderate-high density <- 2-5, 6:high density <- 5-12, 7:very high density <- 12-infinity). Continuous AAF values were estimated from predicted RND and then reclassified to the density categories to provide a more easily interpreted visualization of relative AAF. Development of golden eagle RND models are described in Dunk JR, Woodbridge B, Lickfett TM, Bedrosian G, Noon BR, LaPlante DW, et al. (2019) Modeling spatial variation in density of golden eagle nest sites in the western United States. PLoS ONE 14(9): e0223143 (https://doi.org/10.1371/journal.pone.0223143). Additional information on model products (including RND and AAF surfaces), and guidance for their use is provided at https://ecos.fws.gov/ServCat/Reference/Profile/112631. Model data and products are available for download at https://ecos.fws.gov/ServCat/Reference/Profile/111283.

This raster dataset represents predicted Area-adjusted Frequency (Classified AAF) of golden eagle nest sites. This surface shows AAF classes, which are identified by a numeric code (1-7). Each code corresponds to a descriptive density category representing a range of continuous AAF values (1:very low density <- 0-0.083, 2:low density <- 0.083-0.2, 3:moderate-low density <- 0.2-0.5, 4:neutral density <- 0.5-2, 5:moderate-high density <- 2-5, 6:high density <- 5-12, 7:very high density <- 12-infinity). Continuous AAF values were estimated from predicted RND and then reclassified to the density categories to provide a more easily interpreted visualization of relative AAF. Development of golden eagle RND models are described in Dunk JR, Woodbridge B, Lickfett TM, Bedrosian G, Noon BR, LaPlante DW, et al. (2019) Modeling spatial variation in density of golden eagle nest sites in the western United States. PLoS ONE 14(9): e0223143 (https://doi.org/10.1371/journal.pone.0223143). Additional information on model products (including RND and AAF surfaces), and guidance for their use is provided at https://ecos.fws.gov/ServCat/Reference/Profile/112631. Model data and products are available for download at https://ecos.fws.gov/ServCat/Reference/Profile/111283.

This raster dataset represents predicted Area-adjusted Frequency (Classified AAF) of golden eagle nest sites. This surface shows AAF classes, which are identified by a numeric code (1-7). Each code corresponds to a descriptive density category representing a range of continuous AAF values (1:very low density <- 0-0.083, 2:low density <- 0.083-0.2, 3:moderate-low density <- 0.2-0.5, 4:neutral density <- 0.5-2, 5:moderate-high density <- 2-5, 6:high density <- 5-12, 7:very high density <- 12-infinity). Continuous AAF values were estimated from predicted RND and then reclassified to the density categories to provide a more easily interpreted visualization of relative AAF. Development of golden eagle RND models are described in Dunk JR, Woodbridge B, Lickfett TM, Bedrosian G, Noon BR, LaPlante DW, et al. (2019) Modeling spatial variation in density of golden eagle nest sites in the western United States. PLoS ONE 14(9): e0223143 (https://doi.org/10.1371/journal.pone.0223143). Additional information on model products (including RND and AAF surfaces), and guidance for their use is provided at https://ecos.fws.gov/ServCat/Reference/Profile/112631. Model data and products are available for download at https://ecos.fws.gov/ServCat/Reference/Profile/111283.

This raster dataset represents predicted Area-adjusted Frequency (Smoothed AAF) of golden eagle nest sites. This surface shows gaussian-smoothed, continuous AAF values, which were estimated from predicted RND and can range from 0-infinity. AAF values <1 represent lower than expected densities of nest sites, and values >1 represent greater than expected densities. AAF values in this raster were smoothed to the approximate scale of golden eagle nesting core-use areas to provide a more biologically relevant depiction of eagle presence relative to breeding habitat. Development of golden eagle RND models are described in Dunk JR, Woodbridge B, Lickfett TM, Bedrosian G, Noon BR, LaPlante DW, et al. (2019) Modeling spatial variation in density of golden eagle nest sites in the western United States. PLoS ONE 14(9): e0223143 (https://doi.org/10.1371/journal.pone.0223143). Additional information on model products (including RND and AAF surfaces), and guidance for their use is provided at https://ecos.fws.gov/ServCat/Reference/Profile/112631. Model data and products are available for download at https://ecos.fws.gov/ServCat/Reference/Profile/111283.

Researchers from the Canadian Wildlife Federation and Infinity SES used past data to estimate what the abundance of american eels in the watershed may be. // Des scientifiques de la Fédération canadienne de la faune et de Infinity SES ont utilisé des données antérieures pour estimer l'abondance des anguilles américaines dans le bassin versant.