Skip to main content
Advanced Search

Filters: Tags: Habitat suitability (X)

555 results (50ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Virginia. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Virginia. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
thumbnail
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Delaware. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Delaware. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
thumbnail
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Kentucky. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Kentucky. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
thumbnail
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Minnesota. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Minnesota. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
thumbnail
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New Jersey. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of New Jersey. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
thumbnail
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New York. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of New York. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
thumbnail
This is a habitat suitability model riparian understory species in the Colorado River bottomland in Utah. The model incorporates the density of shrubs, the number of shrub species present, and the stillness of adjacent water.
thumbnail
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Oregon. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Oregon. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
thumbnail
This service definition contains landscape factors representing potential human disturbances to river systems summarized in 12-digit USGS hydrological units (HUC12s) for the state of Alaska. Variables include land uses, barriers to fish movement, landing strips/airports, mines, point-source pollutant sites, and infrastructure like pipelines, railroads, and roads. The source datasets that were compiled and attributed to HUC12s were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire state of Alaska in the way that they were assembled; (3) representative of conditions from 2000 to 2010; and (4) of sufficient spatial resolution that they could be used to make valid comparisons...
thumbnail
This dataset represents the presence/absence of non-native, woody and herbaceous cover types in vegetation patches, as mapped from high resolution imagery from 2010. Each type (woody or herbaceous) requires different techniques, equipment and approaches, impacting treatment costs. This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.
thumbnail
This dataset represents the prevalence of native trees as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.
thumbnail
This dataset represents the prevalence of tamarisk as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. photos, this cover layer reflects conditions that existed when the imagery was collected (September, 2010). This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.
thumbnail
This is a fire risk model for riparian trees on the Colorado River bottomland in Utah. The model incorporates the prevalence of riparian trees and tamarisk, and proximity to human caused ignition sources (campgrounds and roads). See Open File Report, Rasmussen and Shafroth, Colorado River Conservation Planning, for geoprocessing details.
thumbnail
This shapefile contains landscape factors representing potential human disturbances to river systems summarized in 12-digit USGS hydrological units (HUC12s) for the state of Alaska. Variables include land uses, barriers to fish movement, landing strips/airports, mines, point-source pollutant sites, and infrastructure like pipelines, railroads, and roads. The source datasets that were compiled and attributed to HUC12s were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire state of Alaska in the way that they were assembled; (3) representative of conditions from 2000 to 2010; and (4) of sufficient spatial resolution that they could be used to make valid comparisons among...
thumbnail
This shapefile contains summaries of habitat condition indices (HCI scores) from the National Fish Habitat Action Plan (NFHAP) 2010 National Assessments for 12 digit Hydrological Unit Codes (HUC12s) of the United States. Initial HCI scores were developed in three separate assessments (Conterminous U.S., Hawaii, and Alaska) due to differences in data availability across these regions. In the NFHAP 2010 Alaska assesment HCI values were already attributed to HUC12s. For this reason values for Alaska in this shapefile are identical to those represented in the Alaska assessment. To summarize data into HUC12s for the Conterminous United States and Hawaii a length-weighted average was used (i.e. the cumulative HCI score...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 2010 National Assessment, 2010 National Assessment, Alabama, Alaska, Anthropogenic factors, All tags...
thumbnail
The "_archive_workflow_FinalModel.zip" data bundle is comprised of the metadata and Vistrails workflow that contains the following history nodes, which contain modeling workflows: "NLCD2016 state bckgrnd" and "NLCD2016 wostate bckgrnd". These nodes produced the following 9 output rasters: 1) Probability map (without state) 2) MPP threshold (without state) 3) Five percent threshold (without state) 4) Ten percent threshold (without state) 5) Probability map (with state) 6) MPP threshold (with state) 7) Five percent threshold (with state) 8) Ten percent threshold (with state) 9) Maxent MESS map
thumbnail
The 'archive_raster_inputs.zip' data bundle contains '_archive_raster_inputs_XX.tif' and archive_raster_inputs_XX.xml where XX is the name of 1 of 8 input rasters that were created and used to generate these model results. The original layers and sources used to produce each predictor, as well as processing steps, are specified in each .xml file.
thumbnail
We developed habitat suitability models for three invasive plant species: stiltgrass (Microstegium vimineum), sericea lespedeza (Lespedeza cuneata), and privet (Ligustrum sinense). We applied the modeling workflow developed in Young et al. 2020, developing similar models for occurrence data, but also models trained using species locations with percent cover ≥10%, ≥25%, and ≥50%. We chose predictors from a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1) and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed models using...
The shapefile contains the data necessary to recreate the analyses used in Jalbert et al., in review, Vulnerability of Pacific salmon to invasion of northern pike (Esox lucius) in southcentral Alaska. Specifically, users will be able to view 1) intrinsic potential model calculations for 5 Pacific salmonids (Chinook, chum, pink, sockeye, and coho salmon) and northern pike and 2) all parent nodes of the vulnerability model (human colonization, natural colonization, and habitat overlap) as well as their inputs. Finally, users are able to map vulnerability to invasion for each Pacific salmon species.


map background search result map search result map Kentucky: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Partnership (NFHP) 2010 HCI Scores and Human Disturbance Data for Alaska linked to HUC12s for Alaska Delaware: NFHAP 2010 HCI Scores and Disturbances New Jersey: NFHAP 2010 HCI Scores and Disturbances New York: NFHAP 2010 HCI Scores and Disturbances Virginia: NFHAP 2010 HCI Scores and Disturbances Minnesota: NFHAP 2010 HCI Scores and Disturbances Oregon: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Partnership (NFHP) 2010 HCI Scores - by HUC12 National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data for Alaska linked to HUC12s for Alaska: ESRI Service Definition Conservation Planning for the Colorado River in Utah - Riparian Understory Model Output Data for Colorado River in Utah Conservation Planning for the Colorado River in Utah - Distance to Permanent Water for Rocky Fringe Snakes Model Conservation Planning for the Colorado River in Utah - Structural Types of Non-Native Species for Relative Cost of Restoration Model Conservation Planning for the Colorado River in Utah - Density of Native Riparian Trees for Fire Risk Model Conservation Planning for the Colorado River in Utah - Density of Tamarisk for Fire Risk Model Conservation Planning for the Colorado River in Utah - Fire Risk Model with Human Ignition Sources Output Data for Colorado River in Utah Data describing vulnerability of Pacific salmon to invasion of northern pike (Esox lucius) in southcentral Alaska, 2017-2019 archive_raster_inputs archive_workflow_FinalModel Thresholded abundance models for three invasive plant species in the United States Conservation Planning for the Colorado River in Utah - Riparian Understory Model Output Data for Colorado River in Utah Conservation Planning for the Colorado River in Utah - Structural Types of Non-Native Species for Relative Cost of Restoration Model Conservation Planning for the Colorado River in Utah - Density of Tamarisk for Fire Risk Model Conservation Planning for the Colorado River in Utah - Density of Native Riparian Trees for Fire Risk Model Conservation Planning for the Colorado River in Utah - Fire Risk Model with Human Ignition Sources Output Data for Colorado River in Utah Conservation Planning for the Colorado River in Utah - Distance to Permanent Water for Rocky Fringe Snakes Model Delaware: NFHAP 2010 HCI Scores and Disturbances New Jersey: NFHAP 2010 HCI Scores and Disturbances Kentucky: NFHAP 2010 HCI Scores and Disturbances Data describing vulnerability of Pacific salmon to invasion of northern pike (Esox lucius) in southcentral Alaska, 2017-2019 Virginia: NFHAP 2010 HCI Scores and Disturbances Oregon: NFHAP 2010 HCI Scores and Disturbances New York: NFHAP 2010 HCI Scores and Disturbances Minnesota: NFHAP 2010 HCI Scores and Disturbances archive_raster_inputs archive_workflow_FinalModel National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data for Alaska linked to HUC12s for Alaska: ESRI Service Definition National Fish Habitat Partnership (NFHP) 2010 HCI Scores and Human Disturbance Data for Alaska linked to HUC12s for Alaska Thresholded abundance models for three invasive plant species in the United States National Fish Habitat Partnership (NFHP) 2010 HCI Scores - by HUC12