Applications of genetic data to improve management and conservation of river fishes and their habitats

Fisheries
By: , and 

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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.

Additional publication details

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
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
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