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Projected risk of population declines for native fish species in the Upper Mississippi River

River Research and Applications

By:
, ,
DOI: 10.1002/rra.2741

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Abstract

Conservationists are in need of objective metrics for prioritizing the management of habitats. For individual species, the threat of extinction is often used to prioritize what species are in need of conservation action. Using long-term monitoring data, we applied a Bayesian diffusion approximation to estimate quasi-extinction risk for 54 native fish species within six commercial navigation reaches along a 1350-km gradient of the upper Mississippi River system. We found a strong negative linear relationship between quasi-extinction risk and distance upstream. For some species, quasi-extinction estimates ranged from nearly zero in some reaches to one in others, suggesting substantial variability in threats facing individual river reaches. We found no evidence that species traits affected quasi-extinction risk across the entire system. Our results indicate that fishes within the upper Mississippi River system face localized threats that vary across river impact gradients. This suggests that conservation actions should be focused on local habitat scales but should also consider the additive effects on downstream conditions. We also emphasize the need for identification of proximate mechanisms behind observed and predicted population declines, as conservation actions will require mitigation of such mechanisms. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.

Geospatial Extents

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Projected risk of population declines for native fish species in the Upper Mississippi River
Series title:
River Research and Applications
DOI:
10.1002/rra.2741
Edition:
Online First
Year Published:
2014
Language:
English
Publisher:
Wiley
Contributing office(s):
Upper Midwest Environmental Sciences Center
Description:
8 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Country:
United States
Other Geospatial:
Mississippi River