Correlates of extinction vulnerability in Canadian’s prairie ecoregion

• Published in: Biodiversity and conservation Vol. 30; no. 8-9; pp. 2495 - 2509
• Main Authors: Naghiloo, Somayeh, Vamosi, Jana C.
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.07.2021; Springer; Springer Nature B.V
• Subjects: Analysis; Biodiversity; Biomedical and Life Sciences; Chromosome number; Chromosomes; Climate Change/Climate Change Impacts; Conservation; Conservation Biology/Ecology; Conservation status; Dependent variables; Diploids; Diploidy; Ecology; Endangered & extinct species; Environmental policy; Extinction; Extinction (Biology); Habitats; Life Sciences; Mass extinctions; Original Paper; Phylogeny; Plant species; Ploidy; Polyploidy; Protection and preservation; Species extinction; Vulnerability; Wildlife conservation; Phylogenetic comparative models; Ploidy; Habitat breadth; Life form; Extinction risk; Conservation
• ISSN: 0960-3115; 1572-9710
• DOI: 10.1007/s10531-021-02206-7

Identifying the correlates of extinction can help prioritize species for conservation effort, an important step when developing effective conservation policies. Most previous studies on extinction vulnerability have been restricted to a single predictor within a specific region. To understand the mechanism underlying predictors of extinction risk, an examination of the contribution of various factors at different scales is an important step. We investigated the contribution of phylogeny, ploidy level, habitat breadth, and life form on both provincial and national conservation ranks of Alberta’s prairie ecoregion plant species. We collected data on conservation status, chromosome number, habitat breadth, and life form for 1274 species. We used phylogenetic comparative models to assess (1) the relative contribution, significance, and possible interaction of predictor variables in determining extinction vulnerability, and (2) the possible underlying mechanisms governing observed patterns of extinction vulnerability at the provincial and national level. We find that the contribution, significance, and predictive power of variables were often scale-dependent. While the impact of habitat breadth was significant at both provincial and national scales, ploidy and life form was only significant at the national and provincial level, respectively. We also found a significant negative interaction between ploidy and habitat breadth at both geographical scales, such that among widespread species (species with a higher habitat breadth), diploids are less likely to be at risk than polyploids. Our study reveals the importance of the study scale on the accuracy of extinction prediction. We also suggest that discriminating between regionally restricted and non-restricted species could improve the predictability of sub-global extinction patterns.