首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Water availability strongly impacts population genetic patterns of an imperiled Great Plains endemic fish
Authors:S W Fitzpatrick  H Crockett  W C Funk
Institution:1. Department of Biology, Colorado State University, 1878 Campus Delivery, Fort Collins, CO, 80523, USA
2. Colorado Parks and Wildlife, 317 W. Prospect Rd, Fort Collins, CO, 80526, USA
3. Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, 80523, USA
Abstract:Genetic, demographic, and environmental processes affect natural populations synergistically, and understanding their interplay is crucial for the conservation of biodiversity. Stream fishes in metapopulations are particularly sensitive to habitat fragmentation because persistence depends on dispersal and colonization of new habitat but dispersal is constrained to stream networks. Great Plains streams are increasingly fragmented by water diversion and climate change, threatening connectivity of fish populations in this ecosystem. We used seven microsatellite loci to describe population and landscape genetic patterns across 614 individuals from 12 remaining populations of Arkansas darter (Etheostoma cragini) in Colorado, a candidate species for listing under the U.S. Endangered Species Act. We found small effective population sizes, low levels of genetic diversity within populations, and high levels of genetic structure, especially among basins. Both at- and between-site landscape features were associated with genetic diversity and connectivity, respectively. Available stream habitat and amount of continuous wetted area were positively associated with genetic diversity within a site, while stream distance and intermittency were the best predictors of genetic divergence among sites. We found little genetic contribution from historic supplementation efforts, and we provide a set of management recommendations for this species that incorporate a conservation genetics perspective.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号