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

IF 4.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Ecology Pub Date : 2024-11-21 DOI:10.1111/mec.17593
Connor M French, Roberta P Damasceno, Mariana M Vasconcellos, Miguel T Rodrigues, Ana C Carnaval, Michael J Hickerson
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Abstract

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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海拔高度影响连通性和栖息地适宜性模型预测的生态群落规模。
在综合分布、人口和聚合(iDDC)建模中,栖息地适宜性与当地种群数量之间的统计关系是一个关键组成部分。本研究探讨了巴西大西洋森林中两个Enyalius蜥蜴物种(高海拔的E. iheringii和低海拔的E. catenatus)的这种关系,以及这种转变如何影响时空人口推断。之前的大多数 iDDC 研究都假定两者之间存在线性关系,但本研究假设两者之间可能存在非线性关系,尤其是对环境耐受性更强的高海拔物种而言。我们检验了两个关键假设:(1)E. iheringii(高海拔)的栖息地适宜性与种群数量的关系是非线性的,而 E. catenatus(低海拔)的栖息地适宜性与种群数量的关系是线性的;(2)E. iheringii比 E. catenatus表现出更高的种群间有效迁移。我们的研究结果为假设(2)提供了明确的支持,但为假设(1)提供了不同的支持,高海拔 E. iheringii 的非线性变化得到了模型的有力支持,E. catenatus 的非线性变化也得到了一些支持(尽管很弱)。iDDC 模型允许我们生成这两个物种的全地貌遗传多样性预测图,揭示了高海拔 E. iheringii 的遗传多样性预测与历史分布区稳定性的估计模式一致,而低海拔 E. catenatus 的预测则与全分布区稳定性预测不同。这项研究强调了在 iDDC 研究中准确模拟栖息地适宜性与种群数量关系的重要性,有助于我们了解物种对环境变化的人口响应。
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来源期刊
Molecular Ecology
Molecular Ecology 生物-进化生物学
CiteScore
8.40
自引率
10.20%
发文量
472
审稿时长
1 months
期刊介绍: Molecular Ecology publishes papers that utilize molecular genetic techniques to address consequential questions in ecology, evolution, behaviour and conservation. Studies may employ neutral markers for inference about ecological and evolutionary processes or examine ecologically important genes and their products directly. We discourage papers that are primarily descriptive and are relevant only to the taxon being studied. Papers reporting on molecular marker development, molecular diagnostics, barcoding, or DNA taxonomy, or technical methods should be re-directed to our sister journal, Molecular Ecology Resources. Likewise, papers with a strongly applied focus should be submitted to Evolutionary Applications. Research areas of interest to Molecular Ecology include: * population structure and phylogeography * reproductive strategies * relatedness and kin selection * sex allocation * population genetic theory * analytical methods development * conservation genetics * speciation genetics * microbial biodiversity * evolutionary dynamics of QTLs * ecological interactions * molecular adaptation and environmental genomics * impact of genetically modified organisms
期刊最新文献
Elevational Range Impacts Connectivity and Predicted Deme Sizes From Models of Habitat Suitability. Michael C. Whitlock-Recipient of the 2024 Molecular Ecology Prize. The Genomic Signature and Transcriptional Response of Metal Tolerance in Brown Trout Inhabiting Metal-Polluted Rivers. Can Transcriptomics Elucidate the Role of Regulation in Invasion Success? Genomic Architecture Underlying the Striking Colour Variation in the Presence of Gene Flow for the Guinan Toad-Headed Lizard.
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