This CSV file contains landscape factors representing anthropogenic disturbances to stream habitats summarized within 6th level Hydrologic Unit Code (HUC12) watersheds of the Watershed Boundary Dataset. 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 HUC12 units. Variables summarized at the HUC12 scale include measures of anthropogenic land uses, population density, roads, dams, mines, culverts, 303d listed waterbodies, railroads, pipelines, airports, and point-source pollution sites. In this data set, variable summaries are linked to HUC12 watersheds developed for the Watershed Boundary Dataset downloaded on March 18, 2015. The final spatial dataset can be downloaded here: https://doi.org/10.5066/F73B5XBJ.

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 listed waterbodies, railroads, pipelines, airports, and point-source pollution sites. In this data set, variable summaries are linked to catchments developed for the National Hydrography Dataset using the COMID identifier. Catchment attributes are available for both local catchments (defined as the land area draining directly to a reach; attributes begin with "L_" prefix) and network catchments (defined by all upstream contributing catchments to the reach's outlet, including the reach's own local catchment; attributes begin with "N_" prefix). Spatial data can be downloaded at https://doi.org/10.5066/F7TT4P4X. This version of the data (v1.1) addresses an issue detected in the pipeline and railroad variables found in Version 1. Updated values are documented in the file "change_log.csv".

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 catchments of 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 scale include measures of anthropogenic land uses, golf courses, population density, roads, ditches, pipelines, dams, mines, point-source pollution sites, and locations of former plantation lands. In this dataset variable summaries 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 that consists of 11,436 intermittent and perennial stream reaches across the five largest 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 a reach; attributes begin with "L_" prefix) and upstream network catchments (defined by all upstream contributing catchments to the reach's outlet, including the reach's own local catchment; attributes begin with "N_" prefix). Downstream main channel variables for reaches are labeled using a "D_" prefix.

This shapefile contains fish habitat condition index (HCI) scores as well as specific disturbance indices for 6th level Hydrologic Unit Code (HUC12) watersheds of the Watershed Boundary Dataset. 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 HUC12 units. In this data set, variable summaries are linked to HUC12 watersheds developed for the Watershed Boundary Dataset downloaded on March 18, 2015. Detailed methods for creation of disturbance indices as well as cumulative fish habitat condition scores can be found on the following website: http://assessment.fishhabitat.org/.

This shapefile contains fish habitat condition index (HCI) scores as well as specific disturbance indices for 6th level Hydrologic Unit Code (HUC12) watersheds of the Watershed Boundary Dataset. 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 HUC12 units. In this data set, variable summaries are linked to HUC12 watersheds developed for the Watershed Boundary Dataset downloaded on March 18, 2015. Detailed methods for creation of disturbance indices as well as cumulative fish habitat condition scores can be found on the following website: http://assessment.fishhabitat.org/.

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 creation was leveraged through a project occurring at Michigan State University (Ross 2013). 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 on anadromous streams of southeastern Alaska: Relating local and catchment factors to aquatic habitat. 2013. Master’s thesis. Michigan State University, East Lansing, MI.

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 creation was leveraged through a project occurring at Michigan State University (Ross 2013). 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 on anadromous streams of southeastern Alaska: Relating local and catchment factors to aquatic habitat. 2013. Master’s thesis. Michigan State University, East Lansing, MI.

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).