Applications of Genetic Data to Improve Management and Conservation of River Fishes and Their Habitats

Translated title of the contribution: Applications of Genetic Data to Improve Management and Conservation of River Fishes and Their Habitats

Kim T. Scribner, Winsor H. Lowe, Erin Landguth, Gordon Luikart, Dana M. Infante, Gary E. Whelan, Clint C. Muhlfeld

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

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.

Translated title of the contributionApplications of Genetic Data to Improve Management and Conservation of River Fishes and Their Habitats
Original languageEnglish
Pages (from-to)174-188
Number of pages15
JournalFisheries
Volume41
Issue number4
DOIs
StatePublished - Apr 2 2016

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