Predictability of demographic rates based on phylogeny and biological similarity

© 2018 Society for Conservation Biology.

Bibliographische Detailangaben
Veröffentlicht in:Conservation biology : the journal of the Society for Conservation Biology. - 1999. - 32(2018), 6 vom: 25. Dez., Seite 1290-1300
1. Verfasser: Che-Castaldo, Judy (VerfasserIn)
Weitere Verfasser: Che-Castaldo, Christian, Neel, Maile C
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2018
Zugriff auf das übergeordnete Werk:Conservation biology : the journal of the Society for Conservation Biology
Schlagworte:Journal Article Research Support, U.S. Gov't, Non-P.H.S. análisis de viabilidad poblacional conservation status assessment data availability datos disponibles datos sustitutos endangered species especie en peligro evaluación del estado de conservación mehr... population surrogate data viability analysis 数据可利用性 替代数据 濒危物种 濒危等级评估 种群生存力分析
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100 1 |a Che-Castaldo, Judy  |e verfasserin  |4 aut 
245 1 0 |a Predictability of demographic rates based on phylogeny and biological similarity 
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500 |a Date Revised 17.10.2019 
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500 |a Citation Status MEDLINE 
520 |a © 2018 Society for Conservation Biology. 
520 |a Lack of demographic data for most of the world's threatened species is a widespread problem that precludes viability-based status assessments for species conservation. A commonly suggested solution is to use data from species that are closely related or biologically similar to the focal species. This approach assumes similar species and populations of the same species have similar demographic rates, an assumption that has yet to be thoroughly tested. We constructed a Bayesian hierarchical model with data on 425 plant species to predict demographic rates (intrinsic rate of population growth, recruit survival, juvenile survival, adult survival, and fecundity) based on biological traits and phylogenetic relatedness. Generally, we found small effects of species-level traits (except woody polycarpic species tended to have high adult survival rates that increased with plant height) and a weak phylogenetic signal for 4 of the 5 demographic parameters examined. Patterns were stronger in adult survival and fecundity than other demographic rates; however, the unexplained variances at both the species and population levels were high for all demographic rates. For species lacking demographic data, our model produced large, often inaccurate, prediction intervals that may not be useful in a management context. Our findings do not support the assumption that biologically similar or closely related species have similar demographic rates and provide further evidence that direct monitoring of focal species and populations is necessary for informing conservation status assessments 
650 4 |a Journal Article 
650 4 |a Research Support, U.S. Gov't, Non-P.H.S. 
650 4 |a análisis de viabilidad poblacional 
650 4 |a conservation status assessment 
650 4 |a data availability 
650 4 |a datos disponibles 
650 4 |a datos sustitutos 
650 4 |a endangered species 
650 4 |a especie en peligro 
650 4 |a evaluación del estado de conservación 
650 4 |a population 
650 4 |a surrogate data 
650 4 |a viability analysis 
650 4 |a 数据可利用性 
650 4 |a 替代数据 
650 4 |a 濒危物种 
650 4 |a 濒危等级评估 
650 4 |a 种群生存力分析 
700 1 |a Che-Castaldo, Christian  |e verfasserin  |4 aut 
700 1 |a Neel, Maile C  |e verfasserin  |4 aut 
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773 1 8 |g volume:32  |g year:2018  |g number:6  |g day:25  |g month:12  |g pages:1290-1300 
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