Temporally dynamic habitat suitability predicts genetic relatedness among caribou

• Published in: Proceedings of the Royal Society B: Biological Sciences
• Main Authors: Dussault, Christian, Pellissier, Loïc, Yannic, Glenn, Côté, Steeve D., Le Corre, Mael René Vincent, Bernatchez, Louis
• Format: Other/Unknown Material
• Language: English
• Published: The Royal Society Publishing 2020
• Subjects: Ecology; Genetics; Landscape genetics; Least-cost path; Circuit theory; Rangifer tarandus; Habitat suitability models; Causal modelling; Caribou des bois > Habitat; Caribou des bois > Génétique; Habitat (Écologie) > Choix; Canada
• Online Access: https://hdl.handle.net/20.500.11794/66509

Landscape heterogeneity plays a central role in shaping ecological and evolutionary processes. While species utilization of the landscape is usually viewed as constant within a year, the spatial distribution of individuals is likely to vary in time in relation to particular seasonal needs. Understanding temporal variation in landscape use and genetic connectivity has direct conservation implications. Here, we modelled the daily use of the landscape by caribou in Quebec and Labrador, Canada and tested its ability to explain the genetic relatedness among individuals. We assessed habitat selection using locations of collared individuals in migratory herds and static occurrences from sedentary groups. Connectivity models based on habitat use outperformed a baseline isolation-by-distance model in explaining genetic relatedness, suggesting that variations in landscape features such as snow, vegetation productivity and land use modulate connectivity among populations. Connectivity surfaces derived from habitat use were the best predictors of genetic relatedness. The relationship between connectivity surface and genetic relatedness varied in time and peaked during the rutting period. Landscape permeability in the period of mate searching is especially important to allow gene flow among populations. Our study highlights the importance of considering temporal variations in habitat selection for optimizing connectivity across heterogeneous landscape and counter habitat fragmentation.