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These data were compiled to predict economic impacts to angling in Glen Canyon and whitewater rafting in Grand Canyon. The objective of our study was to estimate recreation impacts, or changes in consumer surplus, under different future Interim Guidelines sEIS and LTEMP sEIS alternatives. These data include monthly impacts in nominal 2022 dollars. These data were created for operations at Glen Canyon Dam for October 2023 through November 2027. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center using mathematical modeling methods.
The U.S. Inland Creel and Angler Survey Catalog (CreelCat) contains data compiled from 14,729 creel and angler surveys conducted by state natural resource management agencies (including Washington DC and Puerto Rico) in inland waters across the United States. Data are contained in eight .csv files which contain information about survey characteristics (Survey_Data.csv), angler effort (AngEffort_Data.csv), catch and harvest (FishDataCompiled.csv), angler demographics (Demographic_Data.csv), angler preferences (AngPrefDataCompiled.csv), taxonomic classifications (Taxa_Data.csv), issues with catch and harvest (Fish_Attribution_Issues.csv), and issues with angler preference (AngPref_Attribution_Issues.csv), as well...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquatic Biology,
Ecology,
USGS Science Data Catalog (SDC),
United States,
biota,
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9DSOPHD. The U.S. Inland Creel and Angler Survey Catalog (CreelCat) contains data compiled from 14,766 creel and angler surveys conducted by state natural resource management agencies (including Washington DC and Puerto Rico) in inland waters across the United States. Data is are contained in eight .csv files which contain information about survey characteristics (Survey_Data.csv), angler effort (AngEffort_Data.csv), catch and harvest (FishDataCompiled.csv), angler demographics (Demographic_Data.csv), angler preferences (AngPrefDataCompiled.csv), taxonomic classifications (Taxa_Data.csv), issues with catch and...
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P1WOQBRN. The U.S. Inland Creel and Angler Survey Catalog (CreelCat) contains data compiled from 14,729 creel and angler surveys conducted by state natural resource management agencies (including Washington DC and Puerto Rico) in inland waters across the United States. Data is are contained in eight .csv files which contain information about survey characteristics (Survey_Data.csv), angler effort (AngEffort_Data.csv), catch and harvest (FishDataCompiled.csv), angler demographics (Demographic_Data.csv), angler preferences (AngPrefDataCompiled.csv), taxonomic classifications (Taxa_Data.csv), issues with catch and...
Categories: Data Release - Revised;
Tags: Aquatic Biology,
United States,
biota,
fish,
fisheries management,
Publicly accessible open spaces provide valuable opportunities for people to exercise, play, socialize, and build community. People are more likely to use public open spaces that are close (ideally within walking distance) to their homes. To assess the spatial distribution of access to open space for recreation in the southeastern United States, we constructed an index of open space access based on the size of the largest publicly accessible open space within 10 miles of each point on the landscape, using three distance categories to represent whether people can reach the open spaces by walking (within 0.5 mile), via a short drive (within 3 miles), or via a longer drive (within 10 miles). Using the open space access...
Information on the sources of sediment production and amount is necessary to better understand the relationship between landscape-scale ecosystem drivers (fire, large-scale invasive species removal, recreation, oil and gas development, and grazing) and sediment loading in rivers, streams, and reservoirs. An improved understanding of the sources of sediment production and the contribution of each source to total sediment load would enable resource managers to better locate and design conservation strategies to reduce sediment loading, and improve water quality, native fish habitats, and upland vegetation cover.This project will conduct an erosion and sediment supply analysis in a portion of the Upper Green River...
Categories: Data,
Project;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CO-03,
Colorado,
Data Acquisition and Development,
Datasets/Database,
Decision Support,
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