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Historical Demographic Determinants Complement Climate Model Predictions of Co‐Occurring Cryptic Species
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Historical Demographic Determinants Complement Climate Model Predictions of Co‐Occurring Cryptic Species
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Journal Article
Historical Demographic Determinants Complement Climate Model Predictions of Co‐Occurring Cryptic Species
2025
Overview
Aim We explore the impact of demography and biogeographic history on the interpretation of ecological niche model, highlighting the potential for integrating genetic and ecological approaches to elucidate the evolutionary dynamics underlying the geographic distributions of cryptic species. Location Western Palaearctic (Africa and Europe). Methods We conducted intensive sampling across the Iberian Peninsula to obtain mtDNA phylogeographic data and to develop fine‐scale ecological niche models, projecting these models into both past and future scenarios for the cryptic earwigs Forficula dentata and F. mediterranea. Additionally, we utilised Bayesian skyline plot (BSP) analyses to reconstruct demographic histories and infer past population trends for both species. Results The phylogeographic patterns revealed divergent evolutionary histories: F. dentata exhibited a well‐established, geographically structured lineage, whereas F. mediterranea displayed a star‐shaped pattern characteristic of recent expansion. Comparison between current climate models and those projected into the past and future indicate that F. dentata is likely facing a substantial reduction in its suitable habitat due to ongoing climate change, possibly exacerbated by increasing competition with F. mediterranea. Main Conclusions Our results suggest that climatic factors alone cannot determine the distribution of cryptic species. Historical and demographic factors play a crucial role in shaping their current geographical structure. In addition, human‐mediated dispersal and ongoing climate change may contribute to the genetic and spatial structure within the F. auricularia species complex. Overall, exploring the intricate interplay between historic, genetic and geographic distribution is recommended to overcome contradictory predictions of climate models.
Publisher
John Wiley & Sons, Inc
Subject
