Literature DB >> 31435956

A critical appraisal of population viability analysis.

Vratika Chaudhary1, Madan K Oli1.   

Abstract

Population viability analysis (PVA) is useful in management of imperiled species. Applications range from research design, threat assessment, and development of management frameworks. Given the importance of PVAs, it is essential that they be rigorous and adhere to widely accepted guidelines; however, the quality of published PVAs is rarely assessed. We evaluated the quality of 160 PVAs of 144 species of birds and mammals published in peer-reviewed journals from 1990 to 2017. We hypothesized that PVA quality would be lower with generic programs than with custom-built programs; be higher for those developed for imperiled species; change over time; and be higher for those published in journals with high impact factors (IFs). Each included study was evaluated based on answers to an evaluation framework containing 32 questions reflecting whether and to what extent the PVA study adhered to published PVA guidelines or contained important PVA components. All measures of PVA quality were generally lower for studies based on generic programs. Conservation status of the species did not affect any measure of PVA quality, but PVAs published in high IF journals were of higher quality. Quality generally declined over time, suggesting the quantitative literacy of PVA practitioners has not increased over time or that PVAs developed by unskilled users are being published in peer-reviewed journals. Only 18.1% of studies were of high quality (score >75%), which is troubling because poor-quality PVAs could misinform conservation decisions. We call for increased scrutiny of PVAs by journal editors and reviewers. Our evaluation framework can be used for this purpose. Because poor-quality PVAs continue to be published, we recommend caution while using PVA results in conservation decision making without thoroughly assessing the PVA quality.
© 2019 Society for Conservation Biology.

Keywords:  IUCN; UICN; análisis de viabilidad poblacional; análisis demográfico; demographic analysis; endangered species; especie en peligro; extinction risk; población; population viability analysis; probabilidad de extinción; probability of extinction; riesgo de extinción; 濒危物种; 灭绝可能性; 灭绝风险; 种群动态分析; 种群生存力分析

Mesh:

Year:  2019        PMID: 31435956     DOI: 10.1111/cobi.13414

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


  3 in total

1.  Female reproductive skew exacerbates the extinction risk from poaching in the eastern black rhino.

Authors:  Nick Harvey Sky; John Jackson; Geoffrey Chege; Jamie Gaymer; David Kimiti; Samuel Mutisya; Simon Nakito; Susanne Shultz
Journal:  Proc Biol Sci       Date:  2022-04-13       Impact factor: 5.349

2.  Life history predicts global population responses to the weather in terrestrial mammals.

Authors:  John Jackson; Christie Le Coeur; Owen Jones
Journal:  Elife       Date:  2022-07-01       Impact factor: 8.713

3.  The abundance and persistence of Caprinae populations.

Authors:  Grant M Harris; Matthew J Butler; David R Stewart; James W Cain
Journal:  Sci Rep       Date:  2022-08-15       Impact factor: 4.996

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.