Contrasting Range and Demographic Histories in two Palearctic Dragonfly Species (Odonata: Anisoptera)

Climatic suitability is often used to infer historical range changes, yet whether suitable area predicts effective population size remains unexplored. We investigated this relationship in two Palearctic dragonflies with contrasting ecologies: Somatochlora arctica, a widespread peatland specialist, and S. meridionalis, a southern European species associated with shaded streams. We combined demographic reconstructions from individual reference genomes using the pairwise sequentially Markovian coalescent (PSMC), maximum entropy (MaxEnt) species distribution models projected across six paleoclimatic intervals spanning approximately 3.3 million years, and ancestral state reconstructions of peatland specialization. Predicted suitable area was consistently greater for S. arctica, reaching its greatest extent during the Last Glacial Maximum. However, its inferred effective population size was smaller than that of S. meridionalis for most of the last ~275,000 years. Ancestral reconstructions placed the most probable gain of peatland specialization in the S. arctica lineage (Clade I) during the late Miocene, with a median age of 9.4 million years, predating the modeled climatic intervals. These findings indicate a decoupling of climatic suitability and demographic history. Patchy breeding habitat, population structure, and the isolated Scottish origin of the sampled S. arctica may contribute to this mismatch. Combining genomic, ecological, and phylogenetic approaches provides complementary insights into historical biogeography and highlights the limitations of interpreting suitable climate as available breeding habitat or using individual genomes to characterize species-wide demographic histories.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-06
DOI
https://doi.org/10.64898/2026.11.05.764621
Primary Topic
Genetic diversity and population structure
Type
preprint
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preprint

Contrasting Range and Demographic Histories in two Palearctic Dragonfly Species (Odonata: Anisoptera)

Ethan Tolman, Manpreet K. Kohli, Aaron Goodman
1 links
bioRxiv (Cold Spring Harbor Laboratory)
Genetic diversity and population structure
preprint

Contrasting Range and Demographic Histories in two Palearctic Dragonfly Species (Odonata: Anisoptera)

Ethan Tolman, Manpreet K. Kohli, Aaron Goodman
preprint en

Abstract

Climatic suitability is often used to infer historical range changes, yet whether suitable area predicts effective population size remains unexplored. We investigated this relationship in two Palearctic dragonflies with contrasting ecologies: Somatochlora arctica, a widespread peatland specialist, and S. meridionalis, a southern European species associated with shaded streams. We combined demographic reconstructions from individual reference genomes using the pairwise sequentially Markovian coalescent (PSMC), maximum entropy (MaxEnt) species distribution models projected across six paleoclimatic intervals spanning approximately 3.3 million years, and ancestral state reconstructions of peatland specialization. Predicted suitable area was consistently greater for S. arctica, reaching its greatest extent during the Last Glacial Maximum. However, its inferred effective population size was smaller than that of S. meridionalis for most of the last ~275,000 years. Ancestral reconstructions placed the most probable gain of peatland specialization in the S. arctica lineage (Clade I) during the late Miocene, with a median age of 9.4 million years, predating the modeled climatic intervals. These findings indicate a decoupling of climatic suitability and demographic history. Patchy breeding habitat, population structure, and the isolated Scottish origin of the sampled S. arctica may contribute to this mismatch. Combining genomic, ecological, and phylogenetic approaches provides complementary insights into historical biogeography and highlights the limitations of interpreting suitable climate as available breeding habitat or using individual genomes to characterize species-wide demographic histories.

bioRxiv (Cold Spring Harbor Laboratory)
Baruch College (US), University of Illinois Urbana-Champaign (US), City University of New York (US), Virginia Tech (US)
Genetic diversity and population structure
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