Long-Term Fish Monitoring in Large Rivers: Utility of 'Benchmarking' across Basins
| Autor: | Ian R. Waite, Elise R. Irwin, Timothy D. Counihan, Brian S. Ickes, John J. Kosovich, Colin G. Chapman, Alexa J. McKerrow, Jennifer S. Sauer, David L. Ward, Jennifer M. Bayer, Andrew F. Casper |
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| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
Resource (biology) geography.geographical_feature_category ComputingMethodologies_SIMULATIONANDMODELING Business process business.industry 010604 marine biology & hydrobiology Best practice Environmental resource management Drainage basin Benchmarking Aquatic Science 010603 evolutionary biology 01 natural sciences Maturity (finance) GeneralLiterature_MISCELLANEOUS Term (time) Geography Spatial variability business ComputingMethodologies_COMPUTERGRAPHICS Nature and Landscape Conservation |
| Zdroj: | Fisheries. 42:100-114 |
| ISSN: | 1548-8446 0363-2415 |
| Popis: | In business, benchmarking is a widely used practice of comparing your own business processes to those of other comparable companies and incorporating identified best practices to improve performance. Biologists and resource managers designing and conducting monitoring programs for fish in large river systems tend to focus on single river basins or segments of large rivers, missing opportunities to learn from those conducting fish monitoring in other rivers. We briefly examine five long-term fish monitoring programs in large rivers in the United States (Colorado, Columbia, Mississippi, Illinois, and Tallapoosa rivers) and identify opportunities for learning across programs by detailing best monitoring practices and why these practices were chosen. Although monitoring objectives, methods, and program maturity differ between each river system, examples from these five case studies illustrate the important role that long-term monitoring programs play in interpreting temporal and spatial shifts in fish populat... |
| Databáze: | OpenAIRE |
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