Landscape relatedness: detecting contemporary fine-scale spatial structure in wild populations |
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| Authors: | Anita J Norman Astrid V Stronen Geir-Arne Fuglstad Aritz Ruiz-Gonzalez Jonas Kindberg Nathaniel R Street Göran Spong |
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| Institution: | 1.Department of Fish, Wildlife and Environmental Studies,Swedish University of Agricultural Sciences,Ume?,Sweden;2.Department of Life Sciences,San Diego Zoo Global,San Diego,USA;3.Section of Biology and Environmental Science, Department of Chemistry and Bioscience,Aalborg University,Aalborg,Denmark;4.Department of Mathematical Sciences,Norwegian University of Science and Technology,Trondheim,Norway;5.Department of Zoology and Animal Cell Biology,University of the Basque Country, UPV/EHU,Vitoria-Gasteiz,Spain;6.Systematics, Biogeography and Population Dynamics Research Group, Lascaray Research Center,University of the Basque Country, UPV/EHU,Vitoria-Gasteiz,Spain;7.Norwegian Institute for Nature Research,Trondheim,Norway;8.Ume? Plant Science Centre, Department of Plant Physiology,Ume? University,Ume?,Sweden;9.Fisheries, Wildlife and Conservation Biology Program, Department of Forestry and Environmental Resources,North Carolina State University,Raleigh,USA |
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| Abstract: | ContextMethods for detecting contemporary, fine-scale population genetic structure in continuous populations are scarce. Yet such methods are vital for ecological and conservation studies, particularly under a changing landscape.ObjectivesHere we present a novel, spatially explicit method that we call landscape relatedness (LandRel). With this method, we aim to detect contemporary, fine-scale population structure that is sensitive to spatial and temporal changes in the landscape.MethodsWe interpolate spatially determined relatedness values based on SNP genotypes across the landscape. Interpolations are calculated using the Bayesian inference approach integrated nested Laplace approximation. We empirically tested this method on a continuous population of brown bears (Ursus arctos) spanning two counties in Sweden.ResultsTwo areas were identified as differentiated from the remaining population. Further analysis suggests that inbreeding has occurred in at least one of these areas.ConclusionsLandRel enabled us to identify previously unknown fine-scale structuring in the population. These results will help direct future research efforts, conservation action and aid in the management of the Scandinavian brown bear population. LandRel thus offers an approach for detecting subtle population structure with a focus on contemporary, fine-scale analysis of continuous populations. |
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