Considering landscape connectivity and gene flow in the Anthropocene using complementary landscape genetics and habitat
- PDF / 1,920,602 Bytes
- 16 Pages / 547.087 x 737.008 pts Page_size
- 101 Downloads / 183 Views
(0123456789().,-volV) ( 01234567 89().,-volV)
RESEARCH ARTICLE
Considering landscape connectivity and gene flow in the Anthropocene using complementary landscape genetics and habitat modelling approaches Peter Klinga . Martin Mikola´sˇ . Peter Smolko . Martin Tejkal . Jacob Ho¨glund . Ladislav Paule
Received: 16 July 2018 / Accepted: 18 February 2019 Ó Springer Nature B.V. 2019
Abstract Context A comprehensive understanding of how rapidly changing environments affect species gene flow is critical for mitigating future biodiversity losses. While recent methodological developments in landscape ecology and genetics have greatly advanced our understanding of biodiversity conservation, they are rarely combined and applied in studies. Objectives We merged multifaceted landscape habitat modelling with genetics to detect and design biological corridors, and we evaluated the importance of habitat patches to test corridor efficacy for gene flow in a fragmented landscape. We examined an isolated population of an endangered umbrella species, the capercaillie (Tetrao urogallus), in the
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s10980-019-00789-9) contains supplementary material, which is available to authorized users. P. Klinga (&) L. Paule Faculty of Forestry, Technical University in Zvolen, 96053 Zvolen, Slovakia e-mail: [email protected] M. Mikola´sˇ M. Tejkal Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Kamy´cka cesta 1176, 165 21 Praha 6 – Suchdol, Czech Republic M. Mikola´sˇ PRALES, Odtrnovie 563, 01322 Rosina, Slovakia
Western Carpathians; they have experienced habitat deterioration and accompanying population declines in recent decades. Methods To detect spatial patterns of genetic distances, we combined and optimized resistance surfaces using species distribution modelling, structural and functional connectivity analyses, multivariate regression approaches, and Moran’s eigenvector maps at hierarchical scales. Results Larger habitat patches had better gene flow among them, and we confirmed a broken metapopulation network characterised by a pattern of isolation by the environment. Distance to human settlements explained landscape genetic patterns better than other environmental and landscape features, MAXENT resistance, CONEFOR resistance surfaces, and the pairwise Euclidean distances among individuals. The closer individuals were to settlements, the more pronounced
P. Smolko DIANA, Mla´dezˇnı´cka 47, 97404 Banska´ Bystrica, Slovakia J. Ho¨glund Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Norbyva¨gen 18D, 75236 Uppsala, Sweden P. Smolko Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada
123
Landscape Ecol
were the effects of logging and other negative factors on their connectivity. Conclusions Merging multifaceted landscape habitat modelling with genetics can effectively test corridor efficacy for gene flow, and it represents a powerful tool for c
Data Loading...
