Applications of genetic data to improve management and conservation of river fishes and their habitats
Fisheries
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Abstract
Environmental variation and landscape features affect ecological processes in fluvial systems; however, assessing effects at management-relevant temporal and spatial scales is challenging. Genetic data can be used with landscape models and traditional ecological assessment data to identify biodiversity hotspots, predict ecosystem responses to anthropogenic effects, and detect impairments to underlying processes. We show that by combining taxonomic, demographic, and genetic data of species in complex riverscapes, managers can better understand the spatial and temporal scales over which environmental processes and disturbance influence biodiversity. We describe how population genetic models using empirical or simulated genetic data quantify effects of environmental processes affecting species diversity and distribution. Our summary shows that aquatic assessment initiatives that use standardized data sets to direct management actions can benefit from integration of genetic data to improve the predictability of disturbance–response relationships of river fishes and their habitats over a broad range of spatial and temporal scales.
Suggested Citation
Scribner, K.T., Lowe, W., Landguth, E.L., Luikart, G., Infante, D.M., Whelan, G., and Muhlfeld, C.C., 2015, Applications of genetic data to improve management and conservation of river fishes and their habitats: Fisheries, v. 41, no. 4, p. 174-188, https://doi.org/10.1080/03632415.2016.1150838.
ISSN: 1548-8446 (online)
ISSN: 0363-2415 (print)
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Applications of genetic data to improve management and conservation of river fishes and their habitats |
| Series title | Fisheries |
| DOI | 10.1080/03632415.2016.1150838 |
| Volume | 41 |
| Issue | 4 |
| Publication Date | April 06, 2016 |
| Year Published | 2015 |
| Language | English |
| Publisher | American Fisheries Society |
| Contributing office(s) | Northern Rocky Mountain Science Center |
| Description | 15 p. |
| First page | 174 |
| Last page | 188 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |