Elevational Range Impacts Connectivity and Predicted Deme Sizes From Models of Habitat Suitability

仰角(弹道) 航程(航空) 栖息地 生物 人口 生态学 溯祖理论 人口学 数学 材料科学 复合材料 生物化学 几何学 社会学 基因 系统发育树
作者
Connor M. French,Roberta Pacheco Damasceno,Mariana M. Vasconcellos,Miguel Tréfaut Rodrigues,Ana Carolina Carnaval,Michael J. Hickerson
出处
期刊:Molecular Ecology [Wiley]
标识
DOI:10.1111/mec.17593
摘要

In integrative distributional, demographic and coalescent (iDDC) modelling, a critical component is the statistical relationship between habitat suitability and local population sizes. This study explores this relationship in two Enyalius lizard species from the Brazilian Atlantic Forest: the high-elevation E. iheringii and low-elevation E. catenatus and how this transformation affects spatiotemporal demographic inference. Most previous iDDC studies assumed a linear relationship, but this study hypothesises that the relationship may be nonlinear, especially for high-elevation species with broader environmental tolerances. We test two key hypotheses: (1) The habitat suitability to population size relationship is nonlinear for E. iheringii (high-elevation) and linear for E. catenatus (low-elevation); and (2) E. iheringii exhibits higher effective migration across populations than E. catenatus. Our findings provide clear support for hypothesis (2), but mixed support for hypothesis (1), with strong model support for a nonlinear transformation in the high-elevation E. iheringii and some (albeit weak) support for a nonlinear transformation also in E. catenatus. The iDDC models allow us to generate landscape-wide maps of predicted genetic diversity for both species, revealing that genetic diversity predictions for the high-elevation E. iheringii align with estimated patterns of historical range stability, whereas predictions for low-elevation E. catenatus are distinct from range-wide stability predictions. This research highlights the importance of accurately modelling the habitat suitability to population size relationship in iDDC studies, contributing to our understanding of species' demographic responses to environmental changes.
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