Considering landscape connectivity and gene flow in the Anthropocene using complementary landscape genetics and habitat modelling approaches
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.
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 Western Carpathians; they have experienced habitat deterioration and accompanying population declines in recent decades.
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.
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 were the effects of logging and other negative factors on their connectivity.
Merging multifaceted landscape habitat modelling with genetics can effectively test corridor efficacy for gene flow, and it represents a powerful tool for conservation of endangered species.
KeywordsLandscape genetics Fragmentation Isolation by environment Conservation Tetrao urogallus
The authors wish to express thanks to numerous colleagues who assisted us with sampling, in particular F. Zięba and P. Krzan from Tatra National Park (Zakopane, Poland), P. Armatys from Górce National Park (Niedźwiedź, Poland), and conservationists, foresters, and volunteers from Slovakia. We are grateful to G. Baloghová and D. Krajmerová for assistance in the laboratory. The work was financially supported by the VEGA - Scientific Grant Agency of the Ministry of Education, Science, Research and Sport of the Slovak Republic and Slovak Academy of Sciences [Grant Number 1/0303/12] and VEGA [Grant Number 2/0077/17]. M. Mikoláš was supported by the Czech University of Life Sciences, Prague (CIGA No. 20184304) and by the Institutional Project MSMT CZ.02.1.01/0.0/0.0/16_019/0000803. We are also grateful to Rob Morrissey (Branch Scientific Editing) for help with the language to strengthen our manuscript.
- Bodenhofer U, Klawonn F (2008) Robust rank correlation coefficients on the basis of fuzzy orderings: initial steps. Mathware Soft Comput 15:5–20Google Scholar
- Demographic Research Centre (2017) Main demographic data. http://www.infostat.sk/vdc/en/index.php?option=com_wrapper&view=wrapper&Itemid=35. Accessed 28 Dec 2017
- Ferianc O (1954) Rozšírenie lesných kúr na Slovensku. [Distribution of Galliformes in Slovakia]. Biológia 9:182–209Google Scholar
- McRae BH, Kavanagh DM (2011) Linkage Mapper Connectivity Analysis Software. Seattle, WA: the nature conservancy. Comput Softw Progr Prod by Nat Conserv Seattle, WA, USA https://www.circuitscapeorg/linkagemapper Accessed 16 April 2016
- Mikoláš M, Svitok M, Bollmann K, Reif J, Bače R, Janda P, Trotsiuk V, Čada V, Vítková L, Teodosiu M, Coppes J, Schurman JS, Morrissey RC, Mrhalová H, Svoboda M (2017a) Mixed-severity natural disturbances promote the occurrence of an endangered umbrella species in primary forests. For Ecol Manage 405:210–218CrossRefGoogle Scholar
- Phillips SJ, Dudík M, Schapire RE (2004) A maximum entropy approach to species distribution modeling. Twenty-first Int Conf Mach Learn – ICML’04 83. https://doi.org/10.1145/1015330.1015412
- Sabatini FM, Burrascano S, Keeton WS, Levers C, Lindner M, Pötzschner F, Verkerk PJ, Bauhus J, Buchwald E, Chaskovsky O, Debaive N, Horváth F, Garbarino M, Grigoriadis N, Lombardi F, Duarte IM, Meyer P, Midteng R, Mikac S, Mikoláš M, Motta R, Mozgeris G, Nunes L, Panayotov M, Ódor P, Ruete A, Simovski B, Stillhard J, Svoboda M, Szwagrzyk J, Tikkanen O-P, Volosyanchuk R, Vrska T, Zlatanov T, Kuemmerle T (2018) Where are Europe’s last primary forests? Divers Distrib 24:1426–1439CrossRefGoogle Scholar
- Thompson PL, Rayfield B, Gonzalez A (2014) Robustness of the spatial insurance effects of biodiversity to habitat loss. Evol Ecol Res 16:445–460Google Scholar
- Wegge P, Kastdalen L (2007) Pattern and causes of natural mortality of capercaille, Tetrao urogallus, chicks in a fragmented boreal forest. Ann Zool Fenn 44:141–151Google Scholar