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A storymap that allows users to learn about the Western Native Trout Initiative and explore stories of five native trout and their triumphs of restoration, collaboration, conservation, education, and protection.
This map viewer highlights spatial data products developed by PMEP to characterize habitats and synthesize information in support of habitat conservation and restoration goal setting. Most of the data presented in this viewer are available at https://www.pacificfishhabitat.org/data.
This conservation assessment of the U.S. Rio Grande Watershed identifies target areas for the implementation of habitat-related projects and priority areas, stream segments, and watersheds to improve ecological condition, restore natural processes, and prevent the decline of intact and healthy systems. Through systematic conservation planning, this assessment addresses multi-species and multi-jurisdictional concerns; work that complements and extends analogous conservation assessments completed for much of the Desert Landscape Conservation Cooperative’s (DLCC) extent. In doing so, it provides a flexible working model into which priority taxa and habitats can be easily incorporated in the future.
The Species-Habitat Matrix is an evaluation of the importance of benthic habitats as space for shelter, feeding, and breeding by coastal fishes and motile invertebrates in ACFHP’s four subregions. The analysis quantified the relationship between over 100 different species across four life stages and 26 different habitats.
This CSV file contains landscape factors representing anthropogenic disturbances to stream habitats summarized within local and network stream catchments of Southeast Alaska. The source datasets compiled and attributed to spatial units were identified as being: (1) meaningful for assessing fluvial fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) broadly representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. Variables summarized at the catchment scale include measures of anthropogenic land uses, population density, roads, dams, mines, culverts, 303d...
Categories: Data,
Data Release - Revised;
Tags: 2015 National Assessment,
2015 National Assessment,
Alaska,
Anthropogenic factors,
DataProduct,
The Midwest Glacial Lakes Partnership is proud to share this Shoreline Living booklet, which provides examples of everyday shoreline property owners that dipped their toes into a natural shoreline.
This geodatabase contains landscape factors representing human disturbances summarized to local and network catchments of river reaches throughout the conterminous U.S. They 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 in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. In this data set, these variables are linked to the catchments...
The Midwest Glacial Lakes Partnership’s Conservation Planner provides data to inform communication, management, and research to benefit fish habitat and lake ecosystems. The Conservation Planner has two panels; the upper Map Panel is an interactive map capable of displaying information for a large number of lakes, while the lower Data Panel shows specific information about a single lake that the user selects including climate vulnerability, watershed disturbance, shoreland disturbance, predicted suitability, watershed management guidelines, shoreland management guidelines, watershed details, and shoreland details.
This GeoJSON dataset contains information about 10780 waterfall and 1080 rapid locations (referred to as falls throughout the metadata) and characteristics (e.g. type and height) for the conterminous United States. This dataset centralizes known information about falls while providing basic quality control (i.e. resolving duplicate records and spatial accuracy checks) and linkages to stream networks intended to facilitate stream network analyses. Locations of falls were sourced from the World Waterfall Database (WWD, www.worldwaterfalldatabase.com), the US Forest Service Center for Aquatic Technology Transfer (acquired from Southeast Aquatic Barrier Inventory), and Geographic Names Information System (GNIS, https://geonames.usgs.gov)....
This dataset contains information about waterfall locations and estimated waterfall heights on five of the main Hawaiian Islands including Kauai, Oahu, Maui, Molokai, and Hawaii. Initial spatial information was gathered from the National Hydrography Dataset (NHD), Geographic Names Information System (GNIS), the Hawaii Statewide GIS Program, and the World Waterfall Database. Where image quality permitted, the coordinates and spatial attributes from source data were used to verify and improve the quality of waterfall locations using Google Earth Pro (Google Inc. 2017)and the USGS HydroLink Tool. The HydroLink Tool was also used to link data to both the NHDPlusV2.1 and NHD High Resolution datasets by adding NHD addressing...
This CSV file contains landscape factors representing anthropogenic disturbances to stream habitats summarized within local and network stream catchments as well as the downstream main channel catchment perennial and intermittent stream reaches of the five main islands of Hawai'i. The source datasets compiled and attributed to spatial units were identified as being: (1) meaningful for assessing fluvial fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) broadly representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. Variables summarized at the catchment...
Categories: Data;
Tags: 2015 National Assessment,
2015 National Assessment,
Anthropogenic factors,
DataProduct,
Environmental condition,
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