Literature DB >> 31310350

Application of multiple-population viability analysis to evaluate species recovery alternatives.

Helen M Neville1, Douglas R Leasure2, Daniel C Dauwalter1, Jason B Dunham3, Robin Bjork1, Kurt A Fesenmyer1, Nathan D Chelgren3, Mary M Peacock4, Charles H Luce5, Daniel J Isaak5, Lee Ann Carranza6, Jon Sjoberg7, Seth J Wenger2.   

Abstract

Population viability analysis (PVA) is a powerful conservation tool, but it remains impractical for many species, particularly species with multiple, broadly distributed populations for which collecting suitable data can be challenging. A recently developed method of multiple-population viability analysis (MPVA), however, addresses many limitations of traditional PVA. We built on previous development of MPVA for Lahontan cutthroat trout (LCT) (Oncorhynchus clarkii henshawi), a species listed under the U.S. Endangered Species Act, that is distributed broadly across habitat fragments in the Great Basin (U.S.A.). We simulated potential management scenarios and assessed their effects on population sizes and extinction risks in 211 streams, where LCT exist or may be reintroduced. Conservation populations (those managed for recovery) tended to have lower extinction risks than nonconservation populations (mean = 19.8% vs. 52.7%), but not always. Active management or reprioritization may be warranted in some cases. Eliminating non-native trout had a strong positive effect on overall carrying capacities for LCT populations but often did not translate into lower extinction risks unless simulations also reduced associated stochasticity (to the mean for populations without non-native trout). Sixty fish or 5-10 fish/km was the minimum reintroduction number and density, respectively, that provided near-maximum reintroduction success. This modeling framework provided crucial insights and empirical justification for conservation planning and specific adaptive management actions for this threatened species. More broadly, MPVA is applicable to a wide range of species exhibiting geographic rarity and limited availability of abundance data and greatly extends the potential use of empirical PVA for conservation assessment and planning.
© 2019 Society for Conservation Biology.

Entities:  

Keywords:  amenazada; conservation planning; decision-support tools; en peligro; endangered; extinction risk; herramientas de apoyo de decisiones; hierarchical Bayesian model; modelo bayesiano jerárquico; planeación de la conservación; planeación de la recuperación; recovery planning; threatened; 保护规划; 决策支持工具; 受胁迫; 层次贝叶斯模型; 恢复规划; 濒危; 灭绝风险

Year:  2019        PMID: 31310350     DOI: 10.1111/cobi.13385

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  1 in total

1.  Population genomic monitoring provides insight into conservation status but no correlation with demographic estimates of extinction risk in a threatened trout.

Authors:  William Hemstrom; Daniel Dauwalter; Mary M Peacock; Douglas Leasure; Seth Wenger; Michael R Miller; Helen Neville
Journal:  Evol Appl       Date:  2022-09-04       Impact factor: 4.929

  1 in total

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