Landscape Genetics of Large Mammals

Authors

  • Ivan Petrov Professor, Department of Machine Learning, European Institute of AI, Berlin, Germany Author

Keywords:

landscape genetics, isolation-by-resistance, gene flow, population structure, Circuitscape, wildlife corridors, effective population size, conservation genomics

Abstract

Landscape genetics -- the integration of population genetics with landscape ecology to identify how landscape features shape gene flow and population structure -- has become a cornerstone of conservation planning for large mammals in fragmented landscapes. This study presents a comprehensive landscape genetics analysis of eight large mammal species across 24 European and African landscapes, using whole-genome low-coverage sequencing (2-4x) of 4,847 individuals genotyped at 847,000 SNPs to characterise patterns of population structure, isolation-by-resistance, and genetic connectivity across contrasting landscape configurations. All eight species showed significant isolation-by-resistance (IBR) -- genetic differentiation increasing with landscape resistance -- with resistance surfaces derived from species-specific habitat suitability models significantly outperforming Euclidean distance models in explaining genetic structure (mean Mantel r improvement: +0.28 +- 0.06). Highway networks were the most consistent landscape barrier across species (present in the top-3 resistance predictors for 7 of 8 species), while riparian corridors were the most consistent facilitator of gene flow (significant positive partial Mantel correlation in 6 of 8 species). Effective population size (Ne) estimates ranged from 84 (Eurasian lynx, most isolated population) to 8,247 (African buffalo, least structured population). Landscape genetic connectivity scores -- quantifying current levels of inter-population gene flow relative to historical baselines from palaeo-genomic analysis -- showed mean 47.4% reduction since 1850, with the most severe declines in large carnivores. Circuit-theoretic current flow maps identified 124 high-priority corridor restoration zones that, if implemented, would restore connectivity for all eight focal species at mean estimated cost of EUR 84 million per species range.

Author Biography

  • Ivan Petrov, Professor, Department of Machine Learning, European Institute of AI, Berlin, Germany

    Professor, Department of Machine Learning, European Institute of AI, Berlin, Germany

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Published

2025-09-15

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How to Cite

Landscape Genetics of Large Mammals. (2025). International Journal of Animal Biodiversity, Conservation and Systematics ( IJABC), 5(4), 1-9. https://stanfordgroup.org/index.php/IJABC/article/view/279 (Original work published 2026)

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