Landscape relatedness: detecting contemporary fine-scalespatial structure in wild populations
Norman, Anita J.; Stronen, Astrid V.; Fuglstad, Geir-Arne; Ruiz-Gonzalez, Aritz; Kindberg, Jonas; Street, Nathaniel R.; Spong, Göran
Journal article, Peer reviewed
Date
2016Metadata
Show full item recordCollections
- Publikasjoner fra CRIStin - NINA [2411]
- Scientific publications [1437]
Abstract
Context Methods for detecting contemporary, finescale
population genetic structure in continuous populations
are scarce. Yet such methods are vital for
ecological and conservation studies, particularly under
a changing landscape.
Objectives Here 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.
Methods We 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.