The influence of gene flow on population viability in an isolated urban caracal population

• Published in: Molecular ecology 2024-05, Vol.33 (9), p.e17346-n/a
• Main Authors: Kyriazis, Christopher C., Serieys, Laurel E. K., Bishop, Jacqueline M., Drouilly, Marine, Viljoen, Storme, Wayne, Robert K., Lohmueller, Kirk E.
• Format: Article
• Language: English
• Subjects: Anthropogenic factors; conservation genetics; Extinction; Gene flow; Genomics; Homozygosity; Human influences; Inbreeding; Inbreeding depression; mammals; Migrants; Migration; Population decline; Population dynamics; population genetics – empirical; Population number; Population viability; Populations; Risk; Simulation models; Species extinction; Urban populations; Urbanization; Wildlife; wildlife management
• ISSN: 0962-1083; 1365-294X
• DOI: 10.1111/mec.17346

Wildlife populations are becoming increasingly fragmented by anthropogenic development. Small and isolated populations often face an elevated risk of extinction, in part due to inbreeding depression. Here, we examine the genomic consequences of urbanization in a caracal (Caracal caracal) population that has become isolated in the Cape Peninsula region of the City of Cape Town, South Africa, and is thought to number ~50 individuals. We document low levels of migration into the population over the past ~75 years, with an estimated rate of 1.3 effective migrants per generation. As a consequence of this isolation and small population size, levels of inbreeding are elevated in the contemporary Cape Peninsula population (mean FROH = 0.20). Inbreeding primarily manifests as long runs of homozygosity >10 Mb, consistent with the effects of isolation due to the rapid recent growth of Cape Town. To explore how reduced migration and elevated inbreeding may impact future population dynamics, we parameterized an eco‐evolutionary simulation model. We find that if migration rates do not change in the future, the population is expected to decline, though with a low projected risk of extinction. However, if migration rates decline or anthropogenic mortality rates increase, the potential risk of extinction is greatly elevated. To avert a population decline, we suggest that translocating migrants into the Cape Peninsula to initiate a genetic rescue may be warranted in the near future. Our analysis highlights the utility of genomic datasets coupled with computational simulation models for investigating the influence of gene flow on population viability.