Can data from disparate long-term fish monitoring programs be used to increase our understanding of regional and continental trends in large river assemblages?
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| Title: | Can data from disparate long-term fish monitoring programs be used to increase our understanding of regional and continental trends in large river assemblages? |
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| Authors: | Counihan TD; U.S. Geological Survey, Western Fisheries Research Center, Columbia River Research Laboratory, Cook, Washington, United States of America., Waite IR; U.S. Geological Survey, Oregon Water Science Center, Portland, Oregon, United States of America., Casper AF; Illinois Natural History Survey, Illinois River Biological Station, Havana, Illinois, United States of America., Ward DL; U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, Flagstaff, Arizona, United States of America., Sauer JS; U.S. Geological Survey, Upper Midwest Environmental Sciences Center, La Crosse, Wisconsin, United States of America., Irwin ER; U.S. Geological Survey, Alabama Cooperative Fish and Wildlife Research Unit, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, United States of America., Chapman CG; Oregon Department of Fish and Wildlife, Ocean Salmon and Columbia River Program, Clackamas, Oregon, United States of America., Ickes BS; U.S. Geological Survey, Upper Midwest Environmental Sciences Center, La Crosse, Wisconsin, United States of America., Paukert CP; U.S. Geological Survey, Missouri Cooperative Fish and Wildlife Research Unit, The School of Natural Resources, University of Missouri, Columbia, Missouri, United States of America., Kosovich JJ; U.S. Geological Survey, Core Science Analytics, Synthesis, & Libraries, Lakewood, Colorado, United States of America., Bayer JM; U.S. Geological Survey, Northwest Region & Pacific Northwest Aquatic Monitoring Partnership, Seattle, Washington, United States of America. |
| Source: | PloS one [PLoS One] 2018 Jan 24; Vol. 13 (1), pp. e0191472. Date of Electronic Publication: 2018 Jan 24 (Print Publication: 2018). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0191472 |
