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This shapefile contains cumulative fish habitat condition index (HCI) scores as well as specific disturbance indices for local and network catchments of Southeast Alaska. Catchments were created in support of Jared Ross's Master’s thesis. 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. Citations: Ross, J.A. Influences of timber management and natural landscape factors...
Categories: Data;
Types: ArcGIS REST Map Service,
Citation,
Map Service;
Tags: 2015 National Assessment,
2015 National Assessment,
DataProduct,
Direct habitat alteration,
Environmental condition,
Fish occurrence data to support high-resolution distribution models and test various community and macroecological hypotheses have not been available at the national scale. We present IchthyMaps, a database of high-quality historical fish occurrences covering fishes of the conterminous United States. Designed on the principles of metacommunity ecology, IchthyMaps is a compilation of presence records from atlases up to 1990, at the resolution of the 1:100,000 National Hydrography Database Plus (NHDPlus) inter-confluence stream segment, readily aggregated into hierarchically coarser units (e.g. hydrologic unit code 8-digit and 12-digit watersheds). IchthyMaps contains about 606,550 presence records for 1,038 species...
Categories: Data,
Publication;
Types: Citation;
Tags: Alabama,
Arizona,
Arkansas,
Biological Data,
Biological sampling,
Abstract (from http://www.springerplus.com/content/3/1/589): The growing quality and availability of spatial map layers (e.g., climate, geology, and land use) allow stream studies, which historically have occurred over small areas like a single watershed or stream reach, to increasingly explore questions from a landscape perspective. This large-scale perspective for fluvial studies depends on the ability to characterize influences on streams resulting from throughout entire upstream networks or catchments. While acquiring upstream information for a single reach is relatively straight-forward, this process becomes demanding when attempting to obtain summaries for all streams throughout a stream network and across...
Categories: Publication;
Types: Citation;
Tags: Aggregation,
Digitized stream network,
GIS,
Habitat Characterization,
Landscape information,
THIS IS A HISTORICAL RECORD. As of December 17, 2021, the BISON application will no longer be available online and has been replaced by https://www.gbif.us. The BISON APIs are still available at https://bison.usgs.gov/#api and the Integrated Publishing Toolkit is still available at https://bison.usgs.gov/ipt. The USGS Biodiversity Information Serving Our Nation (BISON) project is an online all-species mapping information system consisting of a large collection of species occurrence datasets (e.g., plants and animals) found in the United States, U.S. Territories, U.S. marine Exclusive Economic Zones (EEZ), and Canada, with relevant geospatial layers. Species occurrences are records of organisms at a particular...
This CSV file contains 21 dam metrics representing stream fragmentation and flow alteration for nearly 2.3 million stream reaches in the conterminous USA. Dam metrics fall into four main categories: segment-based, count and density, distance-based, and cumulative reservoir storage (described below). These data were developed using spatially verified large dam locations (n=49,468) primarily from the National Anthropogenic Barrier Dataset (NABD) that were spatially linked to the National Hydrography Dataset Plus version 1 (NHDPlusV1). These dam metrics have been summarized using the unique identifier field native to the NHDPlusV1 (COMID) which can be used to join this table to spatial layers and data tables of the...
Categories: Data;
Types: Citation;
Tags: 2015 National Assessment,
2015 National Assessment,
2015 National Assessment,
Alabama,
Arizona,
This CSV file contains landscape factors representing anthropogenic disturbances to stream habitats summarized within local and network stream catchments as well as 90 m local and network buffer of stream reaches throughout the conterminous U.S. 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...
Categories: Data;
Types: Citation;
Tags: Alabama,
Anthropogenic factors,
Arizona,
Arkansas,
California,
This geodatabase contains 90 meter buffers of streams within the National Hydrography Dataset Plus Version 1 (NHDPlusV1). These buffers were developed by converting NHDPlusV1 flowlines to a 30m grid, then running a euclidean allocation function in ArcPy to generate buffer zones. For flowlines representing artificial paths within NHD area river polygons, buffers extend from the outside edges ("banks") of the polygon outward. The source code for buffer development can be found at https://github.com/ArthurCooper/NFHP-Buffer-Code.
Types: Citation;
Tags: 2015 National Assessment,
2015 National Assessment,
Alabama,
Arizona,
Arkansas,
Note these data were updated to Version 2. It is recommended to use Version 2, which can be found at https://doi.org/10.5066/P94C5B06. This CSV file contains cumulative fish habitat condition index (HCI) scores generated for river reaches of the conterminous United States as well as indices generated specifically for four spatial units including local and network catchments and 90 m local and network buffers of river reaches. Note that the cumulative HCI score is determined from limiting index scores generated for the four spatial units listed above. Detailed methods for calculating cumulative fish habitat condition index scores as well as the indices for each spatial extent can be found on the following website:...
This shapefile contains cumulative fish habitat condition index (HCI) scores and specific disturbance indices for local and network stream catchments as well as the downstream main channel catchment of perennial and intermittent streams reaches of the five main island of Hawai'i. In this dataset indices are linked to the Hawaii Fish Habitat Partnership (HFHP) stream layer (Tingley et al. in prep) which is a modified version of the 1:24,000 National Hydrography Dataset. It includes 11,436 intermittent and perennial stream reaches across the five main Hawaiian Islands (Hawai’i, Maui, Moloka’i, O’ahu, Kaua’i). Catchment attributes are available for both local catchments (defined as the land area draining directly to...
Categories: Data;
Types: ArcGIS REST Map Service,
Citation,
Map Service;
Tags: 2015 National Assessment,
2015 National Assessment,
Anthropogenic factors,
DataProduct,
Direct habitat alteration,
MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past, federal agency partners have provided the core funding for developing and implementing MARIS as well as broad guidance on the content of the system. In 2014 the U.S. Geological...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Abundance (organisms),
Alabama,
Arkansas,
Biological Data,
Biological sampling,
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