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Fish community and species distribution predictions for streams and rivers of the Chesapeake Bay Watershed

Metadata Updated: October 29, 2023

This data release contains predictions of selected  fish community metrics and fish species occurrence using Random Forest models with landscape data for inland reaches across the Chesapeake Bay Watershed (CBW). Predictions were made at four time intervals (2001, 2006, 2011, and 2016) according to changes in landcover using the National Land Cover Database (NLCD). The fish sampling data used to compute these metrics were compiled from various fish sampling programs conducted by state and federal agencies, county governments, universities, and river basin commissions across the watershed. Community metrics describe composition, tolerances, habitat preferences, and functional traits of fish communities (and were derived from Krause and Maloney, 2021). Community analyses were developed for four aggregated Level III ecoregions: Northern Appalachians (NAP), Southern Appalachians [split into two sub-regions; the SAP-Piedmont (Piedmont and Northern Piedmont Ecoregions; SAPPIED] and other ecoregions [SAPNW]) and the Coastal Plains (CPL), and a final index was calculated for each ecoregion as the average of selected metric deciles with higher scores inferring less biologically altered (i.e., better) conditions. Species distribution models were created for key sensitive and gamefish species (including Brook Trout, Northern Hog Sucker, Smallmouth Bass, and Torrent Sucker) to predict species occurrence. Uncertainty was calculated for both approaches using model prediction intervals. For complete data descriptions and data interpretation see associated publication (Maloney et al., 2022; https://doi.org/10.1016/j.ecolind.2021.108488).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/1150e012d0333eb27ea2691d7fd58488
Identifier USGS:61533111d34e0df5fb9c5bc5
Data Last Modified 20220805
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 0be5e732-e731-4893-a517-719a9267a62f
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -80.6538,36.5793,-74.4593,43.0773
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 412fe381fed045ae31986e2235bd65433d911bdb5212b8f2911f762f2a5b5860
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -80.6538, 36.5793, -80.6538, 43.0773, -74.4593, 43.0773, -74.4593, 36.5793, -80.6538, 36.5793}

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