Abstract
The focus of this review is on landscape genetics (LG), a relatively new discipline that arose approximately 10 years ago. LG spans the interface between population genetics and landscape ecology and thus incorporates the concepts, methods, and tools from both disciplines. On the basis of an understanding of the spatial distribution of genetic diversity, LG aims to explain how landscape and environmental characteristics influence microevolutionary processes and metapopulation dynamics, including gene flow (i.e., connectivity) and selection (i.e., local adaptations). LG is concerned with events that occurred during the recent time scale, and the individual is the operational unit. As a discipline that combines spatial genetic diversity with ecological features, LG is able to address questions relating to different evolutionary processes. We illustrate some of these here using examples taken from mammals: population structure; gene flow and the identification of barriers; fragmentation, connectivity, and corridors; local adaptation and selection; there are two different questions: applications in conservation genetics; and future developments in LG. We will then present the methods and tools commonly used in the different steps of LG analyses: the genetic and landscape sampling, the quantification of genetic variation, the characterization of spatial landscape structures, and finally, the correlation between genetic patterns and landscape features.
Acknowledgments
We thank Guila Ganem for the invitation to write this review as well as Stéphanie Manel and Claude Miaud for helpful comments on the manuscript. This review also greatly benefitted from the constructive comments of two anonymous reviewers. BvV is a core team member of the Centre for Invasion Biology. Logistical support from the CIB is acknowledged.
References
Aars, J., J.F. Dallas, S.B. Piertney, F. Marshall, J.L. Gow, S. Telfer and X. Lambin. 2006. Widespread gene flow and high genetic variability in populations of water voles Arvicola terrestris in patchy habitats. Mol. Ecol. 15: 1455–1466.10.1111/j.1365-294X.2006.02889.xSearch in Google Scholar
Adriaensen, F., J.P. Chardon, G. De Blust, E. Swinnen, S. Villalba, H. Gulinck and E. Matthysen. 2003. The application of ‘least-cost’ modelling as a functional landscape model. Landscape Urban Plan. 64: 233–247.10.1016/S0169-2046(02)00242-6Search in Google Scholar
Alexander, D.H., J. Novembre and K. Lange. 2009. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 19: 1655–1664.10.1101/gr.094052.109Search in Google Scholar PubMed PubMed Central
Allendorf, F.W. and J.J. Hard. 2009. Human-induced evolution caused by unnatural selection through harvest of wild animals. Proc. Natl. Acad. Sci. USA 106: 9987–9994.10.1073/pnas.0901069106Search in Google Scholar PubMed PubMed Central
Allendorf, F.W., P.A. Hohenlohe and G. Luikart. 2010. Genomics and the future of conservation genetics. Nat. Rev. Genet. 11: 697–709.10.1038/nrg2844Search in Google Scholar PubMed
Anderson, C.S. and D.B. Meikle. 2010. Genetic estimates of immigration and emigration rates in relation to population density and forest patch area in Peromyscus leucopus. Conserv. Genet. 11: 1593–1605.10.1007/s10592-009-0033-8Search in Google Scholar
Anderson, C.D., B.K. Epperson, M.J. Fortin, R. Holderegger, P.M.A. James, M.S. Rosenberg, K.T. Scribner and S. Spear. 2010. Considering spatial and temporal scale in landscape-genetic studies of gene flow. Mol. Ecol. 19: 3565–3575.10.1111/j.1365-294X.2010.04757.xSearch in Google Scholar PubMed
Ansmann, I.C., G.J. Parra, J.M. Lanyon and J.M. Seddon. 2012. Fine-scale genetic population structure in a mobile marine mammal: inshore bottlenose dolphins in Moreton Bay, Australia. Mol. Ecol. 21: 4472–4485.10.1111/j.1365-294X.2012.05722.xSearch in Google Scholar PubMed
Antolin, M.F., L.T. Savage and R.J. Eisen. 2006. Landscape features influence genetic structure of black-tailed prairie dogs (Cynomys ludovicianus). Landscape Ecol. 21: 867–875.10.1007/s10980-005-5220-5Search in Google Scholar
Arrendal, J., C.W. Walker, A.K. Sundqvist, L. Hellborg and C. Vila. 2004. Genetic evaluation of an otter translocation program. Conserv. Genet. 5: 79–88.10.1023/B:COGE.0000014059.49606.ddSearch in Google Scholar
Avise, J.C. 2000. Phylogeography: the history and formation of species. Harvard University Press, Cambridge, MA. pp. 447.Search in Google Scholar
Baguette, M. and H. Van Dyck. 2007. Landscape connectivity and animal behavior: functional grain as a key determinant for dispersal. Landscape Ecol. 22: 1117–1129.10.1007/s10980-007-9108-4Search in Google Scholar
Balkenhol, N. and L.P. Waits. 2009. Molecular road ecology: exploring the potential of genetics for investigating transportation impacts on wildlife. Mol. Ecol. 18: 4151–4164.10.1111/j.1365-294X.2009.04322.xSearch in Google Scholar PubMed
Balkenhol, N., F. Gugerli, S.A. Cushman, L.P. Waits, A. Coulon, J.W. Arntzen, R. Holderegger and H.H. Wagner. 2009a. Identifying future research needs in landscape genetics: where to from here? Landscape Ecol. 24: 455–463.10.1007/s10980-009-9334-zSearch in Google Scholar
Balkenhol, N., L.P. Waits and R.J. Dezzani. 2009b. Statistical approaches in landscape genetics: an evaluation of methods for linking landscape and genetic data. Ecography 32: 818–830.10.1111/j.1600-0587.2009.05807.xSearch in Google Scholar
Balkenhol, N., R. Pardini, C. Cornelius, F. Fernandes and S. Sommer. 2013. Landscape-level comparison of genetic diversity and differentiation in a small mammal inhabiting different fragmented landscapes of the Brazilian Atlantic Forest. Conserv. Genet. 14: 355–367.10.1007/s10592-013-0454-2Search in Google Scholar
Beier, P. and A.J. Gregory. 2012. Desperately seeking stable 50-year-old landscapes with patches and long, wide corridors. PLoS Biol. 10: e1001253.Search in Google Scholar
Beier, P. and R.F. Noss. 1998. Do habitat corridors provide connectivity? Conserv. Biol. 12: 1241–1252.10.1111/j.1523-1739.1998.98036.xSearch in Google Scholar
Belkhir, K., P. Borsa, L. Chikhi, N. Raufaste and F. Bonhomme. 1996. GENETIX 4.05, logiciel sous Windows TM pour la génétique des populations. Montpellier, France.Search in Google Scholar
Berry, O., M.D. Tocher and S.D. Sarre. 2004. Can assignment tests measure dispersal? Mol. Ecol. 13: 551–561.10.1046/j.1365-294X.2004.2081.xSearch in Google Scholar
Biek, R. and L.A. Real. 2010. The landscape genetics of infectious disease emergence and spread. Mol. Ecol. 19: 3515–3531.10.1111/j.1365-294X.2010.04679.xSearch in Google Scholar PubMed PubMed Central
Blanchong, J.A., M.D. Samuel, K.T. Scribner, B.V. Weckworth, J.A. Langenberg and K.B. Filcek. 2008. Landscape genetics and the spatial distribution of chronic wasting disease. Biol. Lett. 4: 130–133.10.1098/rsbl.2007.0523Search in Google Scholar PubMed PubMed Central
Bohonak, A.J. and A.G. Vandergast. 2011. The value of DNA sequence data for studying landscape genetics. Mol. Ecol. 20: 2477–2479.10.1111/j.1365-294X.2011.05122.xSearch in Google Scholar PubMed
Bonin, A., F. Nicole, F. Pompanon, C. Miaud and P. Taberlet. 2007. Population adaptive index: a new method to help measure intraspecific genetic diversity and prioritize populations for conservation. Conserv. Biol. 21: 697–708.10.1111/j.1523-1739.2007.00685.xSearch in Google Scholar
Bonnet, E. and Y. Van der Peer. 2002. ZT: a software tool for simple and partial Mantel tests. J. Stat. Softw. 7: 1–12.10.18637/jss.v007.i10Search in Google Scholar
Bowcock, A.M., A. Ruizlinares, J. Tomfohrde, E. Minch, J.R. Kidd and L.L. Cavalli-Sforza. 1994. High-resolution of human evolutionary trees with polymorphic microsatellites. Nature 368: 455–457.10.1038/368455a0Search in Google Scholar
Broquet, T. and E.J. Petit. 2009. Molecular estimation of dispersal for ecology and population genetics. Annu. Rev. Ecol. Evol. Syst. 40: 193–216.10.1146/annurev.ecolsys.110308.120324Search in Google Scholar
Brumfield, R.T., P. Beerli, D.A. Nickerson and S.V. Edwards. 2003. The utility of single nucleotide polymorphisms in inferences of population history. Trends Ecol. Evol. 18: 249–256.10.1016/S0169-5347(03)00018-1Search in Google Scholar
Campbell, P., B. Pasch, J.L. Pino, O.L. Crino, M. Phillips and S.M. Phelps. 2010. Geographic variation in the songs of neotropical singing mice: testing the relative importance of drift and local adaptation. Evolution 64: 1955–1972.10.1111/j.1558-5646.2010.00962.xSearch in Google Scholar PubMed
Cavallis-Sforza, L.l. and A.W.F. Edwards. 1967. Phylogenetic analysis models and estimation procedures. Am. J. Hum. Genet. 19: 233.Search in Google Scholar
Ceballos, G. and P.R. Ehrlich. 2002. Mammal population losses and the extinction crisis. Science 296: 904–907.10.1126/science.1069349Search in Google Scholar PubMed
Clarke, K.R. and M. Ainsworth. 1993. A method of linking multivariate community structure to environmental variables. Mar. Ecol. Prog. Ser. 92: 205–219.10.3354/meps092205Search in Google Scholar
Compton, B.W., K. McGarigal, S.A. Cushman and L.R. Gamble. 2007. A resistant-kernel model of connectivity for amphibians that breed in vernal pools. Conserv. Biol. 21: 788–799.10.1111/j.1523-1739.2007.00674.xSearch in Google Scholar PubMed
Corander, J. and P. Marttinen. 2006. Bayesian identification of admixture events using multilocus molecular markers. Mol. Ecol. 15: 2833–2843.10.1111/j.1365-294X.2006.02994.xSearch in Google Scholar PubMed
Coulon, A., J.F. Cosson, J.M. Angibault, B. Cargnelutti, M. Galan, N. Morellet, E. Petit, S. Aulagnier and A.J.M. Hewison. 2004. Landscape connectivity influences gene flow in a roe deer population inhabiting a fragmented landscape: an individual-based approach. Mol. Ecol. 13: 2841–2850.10.1111/j.1365-294X.2004.02253.xSearch in Google Scholar
Coulon, A., G. Guillot, J.F. Cosson, J.M.A. Angibault, S. Aulagnier, B. Cargnelutti, M. Galan and A.J.M. Hewison. 2006. Genetic structure is influenced by landscape features: empirical evidence from a roe deer population. Mol. Ecol. 15: 1669–1679.10.1111/j.1365-294X.2006.02861.xSearch in Google Scholar
Coulon, A., J.W. Fitzpatrick, J. Bowman and I.J. Lovette. 2012. Mind the gap: genetic distance increases with habitat gap size in Florida scrub jays. Biol. Lett. 8: 582–585.10.1098/rsbl.2011.1244Search in Google Scholar
Crandall, K.A., O.R.P. Bininda-Emonds, G.M. Mace and R.K. Wayne. 2000. Considering evolutionary processes in conservation biology. Trends Ecol. Evol. 15: 290–295.10.1016/S0169-5347(00)01876-0Search in Google Scholar
Cullingham, C.I., C.J. Kyle, B.A. Pond, E.E. Rees and B.N. White. 2009. Differential permeability of rivers to raccoon gene flow corresponds to rabies incidence in Ontario, Canada. Mol. Ecol. 18: 43–53.Search in Google Scholar
Cushman, S.A. and E.L. Landguth. 2010a. Scale dependent inference in landscape genetics. Landscape Ecol. 25: 967–979.10.1007/s10980-010-9467-0Search in Google Scholar
Cushman, S.A. and E.L. Landguth. 2010b. Spurious correlations and inference in landscape genetics. Mol. Ecol. 19: 3592–3602.10.1111/j.1365-294X.2010.04656.xSearch in Google Scholar PubMed
Cushman, S.A. and J.S. Lewis. 2010. Movement behavior explains genetic differentiation in American black bears. Landscape Ecol. 25: 1613–1625.10.1007/s10980-010-9534-6Search in Google Scholar
Cushman, S.A., K.S. McKelvey, J. Hayden and M.K. Schwartz. 2006. Gene flow in complex landscapes: testing multiple hypotheses with causal modeling. Am. Nat. 168: 486–499.10.1086/506976Search in Google Scholar PubMed
Cushman, S.A., A.S. Shirk and E.L. Landguth. 2012. Separating the effects of habitat area, fragmentation and matrix resistance on genetic differentiation in complex landscapes. Landscape Ecol. 27: 369–380.Search in Google Scholar
Davey, J.W. and M.L. Blaxter. 2010. RADSeq: next-generation population genetics. Brief. Funct. Genomics 9: 416–423.10.1093/bfgp/elq031Search in Google Scholar PubMed PubMed Central
Duchesne, P. and J. Turgeon. 2012. FLOCK provides reliable solutions to the “number of populations” problem. J. Hered. 103: 734–743.10.1093/jhered/ess038Search in Google Scholar PubMed
Dudaniec, R.Y., S.F. Spear, J.S. Richardson and A. Storfer. 2012. Current and historical drivers of landscape genetic structure differ in core and peripheral salamander populations. PLoS ONE 7: e36769.10.1371/journal.pone.0036769Search in Google Scholar PubMed PubMed Central
Dungan, J.L., J.N. Perry, M.R.T. Dale, P. Legendre, S. Citron-Pousty, M.J. Fortin, A. Jakomulska, M. Miriti and M.S. Rosenberg. 2002. A balanced view of scale in spatial statistical analysis. Ecography 25: 626–640.10.1034/j.1600-0587.2002.250510.xSearch in Google Scholar
du Toit N., B. Jansen van Vuuren, S. Matthee and C.A. Matthee. 2012. Biome specificity of distinct genetic lineages within the four-striped mouse Rhabdomys pumilio (Rodentia: Muridae) from southern Africa with implications for taxonomy. Mol. Phylogenet. Evol. 65: 75–86.10.1016/j.ympev.2012.05.036Search in Google Scholar PubMed
Edmands, S. 2007. Between a rock and a hard place: evaluating the relative risks of inbreeding and outbreeding for conservation and management. Mol. Ecol. 16: 463–475.10.1111/j.1365-294X.2006.03148.xSearch in Google Scholar PubMed
Ekblom, R. and J. Galindo. 2011. Applications of next generation sequencing in molecular ecology of non-model organisms. Heredity 107: 1–15.10.1038/hdy.2010.152Search in Google Scholar PubMed PubMed Central
Elmhagen, B. and A. Angerbjorn. 2001. The applicability of metapopulation theory to large mammals. Oikos 94: 89–100.10.1034/j.1600-0706.2001.11316.xSearch in Google Scholar
Elshire, R.J., J.C. Glaubitz, Q. Sun, J.A. Poland, K. Kawamoto, E.S. Buckler and S.E. Mitchell. 2011. A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species. PLoS ONE 6: e19379.Search in Google Scholar
Epps, C.W., J.D. Wehausen, V.C. Bleich, S.G. Torres and J.S. Brashares. 2007. Optimizing dispersal and corridor models using landscape genetics. J. Appl. Ecol. 44: 714–724.10.1111/j.1365-2664.2007.01325.xSearch in Google Scholar
Estoup, A. and T. Guillemaud. 2010. Reconstructing routes of invasion using genetic data: why, how and so what? Mol. Ecol. 19: 4113–4130.10.1111/j.1365-294X.2010.04773.xSearch in Google Scholar PubMed
Etherington, T.R. 2011. Python based GIS tools for landscape genetics: visualising genetic relatedness and measuring landscape connectivity. Methods Ecol. Evol. 2: 52–55.10.1111/j.2041-210X.2010.00048.xSearch in Google Scholar
Excoffier, L. and H.E.L. Lischer. 2010. Arlequin suite ver. 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol. Ecol. Resour. 10: 564–567.10.1111/j.1755-0998.2010.02847.xSearch in Google Scholar PubMed
Fahrig, L. 1997. Relative effects of habitat loss and fragmentation on population extinction. J. Wildl. Manage. 61: 603–610.10.2307/3802168Search in Google Scholar
Faubet, P. and O.E. Gaggiotti. 2008. A new Bayesian method to identify the environmental factors that influence recent migration. Genetics 178: 1491–1504.10.1534/genetics.107.082560Search in Google Scholar PubMed PubMed Central
Finnegan, L.A., P.J. Wilson, G.N. Price, S.J. Lowe, B.R. Patterson, M.J. Fortin and D.L. Murray. 2012. The complimentary role of genetic and ecological data in understanding population structure: a case study using moose (Alces alces). Eur. J. Wildl. Res. 58: 415–423.10.1007/s10344-011-0590-2Search in Google Scholar
Foll, M. and O. Gaggiotti. 2006. Identifying the environmental factors that determine the genetic structure of populations. Genetics 174: 875–891.10.1534/genetics.106.059451Search in Google Scholar PubMed PubMed Central
Francois, O., S. Ancelet and G. Guillot. 2006. Bayesian clustering using hidden Markov random fields in spatial population genetics. Genetics 174: 805–816.10.1534/genetics.106.059923Search in Google Scholar PubMed PubMed Central
Frankham, R., J.D. Ballou and D.A. Briscoe. 2009. Introduction to conservation genetics. Cambridge University Press, Cambridge, UK. pp. 618.Search in Google Scholar
Frantz, A.C., L.C. Pope, T.R. Etherington, G.J. Wilson and T. Burke. 2010. Using isolation-by-distance-based approaches to assess the barrier effect of linear landscape elements on badger (Meles meles) dispersal. Mol. Ecol. 19: 1663–1674.10.1111/j.1365-294X.2010.04605.xSearch in Google Scholar PubMed
Frantz, A.C., S. Bertouille, M.C. Eloy, A. Licoppe, F. Chaumont and M.C. Flamand. 2012. Comparative landscape genetic analyses show a Belgian motorway to be a gene flow barrier for red deer (Cervus elaphus), but not wild boars (Sus scrofa). Mol. Ecol. 21: 3445–3457.Search in Google Scholar
Frichot, E., S.D. Schoville, G. Bouchard and O. Francois. 2013. Testing for associations between loci and environmental gradients using latent factor mixed models. Mol. Biol. Evol. 30: 1687–1699.10.1093/molbev/mst063Search in Google Scholar PubMed PubMed Central
Galpern, P., M. Manseau and P. Wilson. 2012. Grains of connectivity: analysis at multiple spatial scales in landscape genetics. Mol. Ecol. 21: 3996–4009.10.1111/j.1365-294X.2012.05677.xSearch in Google Scholar PubMed
Gauffre, B., A. Estoup, V. Bretagnolle and J.F. Cosson. 2008. Spatial genetic structure of a small rodent in a heterogeneous landscape. Mol. Ecol. 17: 4619–4629.10.1111/j.1365-294X.2008.03950.xSearch in Google Scholar PubMed
Gilbert-Norton, L., R. Wilson, J.R. Stevens and K.H. Beard. 2010. A meta-analytic review of corridor effectiveness. Conserv. Biol. 24: 660–668.10.1111/j.1523-1739.2010.01450.xSearch in Google Scholar PubMed
Goslee, S.C. and D.L. Urban. 2007. The ecodist package for dissimilarity-based analysis of ecological data. J. Stat. Softw. 22: 1–19.10.18637/jss.v022.i07Search in Google Scholar
Goudet, J. 1995. FSTAT (version 1.2): a computer program to calculate F-statistics. J. Hered. 86: 485–486.10.1093/oxfordjournals.jhered.a111627Search in Google Scholar
Guillot, G. and F. Rousset. 2013. Dismantling the Mantel tests. Method. Ecol. Evol. 4: 336–344.10.1111/2041-210x.12018Search in Google Scholar
Guillot, G., F. Mortier and A. Estoup. 2005. GENELAND: a computer package for landscape genetics. Mol. Ecol. Notes 5: 712–715.10.1111/j.1471-8286.2005.01031.xSearch in Google Scholar
Guillot, G., R. Leblois, A. Coulon and A. Frantz. 2009. Statistical methods in spatial genetics. Mol. Ecol. 18: 4734–4756.10.1111/j.1365-294X.2009.04410.xSearch in Google Scholar
Haddad, N.M., D.R. Bowne, A. Cunningham, B.J. Danielson, D.J. Levey, S. Sargent and T. Spira. 2003. Corridor use by diverse taxa. Ecology 84: 609–615.10.1890/0012-9658(2003)084[0609:CUBDT]2.0.CO;2Search in Google Scholar
Hancock, A.M., D.B. Witonsky, E. Ehler, G. Alkorta-Aranburu, C.M. Beall, A. Gebremedhin, R. Sukernik, G. Utermann, J.K. Pritchard, G. Coop and A. Di Rienzo. 2010. Human adaptations to diet, subsistence, and ecoregion are due to subtle shifts in allele frequency. Proc. Natl. Acad. Sci. USA 107: 8924–8930.Search in Google Scholar
Hancock, A.M., D.B. Witonsky, G. Alkorta-Aranburu, C.M. Beall, A. Gebremedhin, R. Sukernik, G. Utermann, J.K. Pritchard, G. Coop and A. Di Rienzo. 2011. Adaptations to climate-mediated selective pressures in humans. PLoS Genet. 7: e1001375.10.1371/journal.pgen.1001375Search in Google Scholar
Hansen, M.M., K. Meier and K.L.D. Mensberg. 2010. Identifying footprints of selection in stocked brown trout populations: a spatio-temporal approach. Mol. Ecol. 19: 1787–1800.10.1111/j.1365-294X.2010.04615.xSearch in Google Scholar
Hansen, M.M., I. Olivieri, D.M. Waller and E.E. Nielsen. 2012. Monitoring adaptive genetic responses to environmental change. Mol. Ecol. 21: 1311–1329.10.1111/j.1365-294X.2011.05463.xSearch in Google Scholar
Hanski, I. and O.E. Gaggiotti. 2004. Ecology, genetics, and evolution of metapopulations. Elsevier Academic Press, San Diego, CA. pp. 696.Search in Google Scholar
Hanski, I. and O. Ovaskainen. 2000. The metapopulation capacity of a fragmented landscape. Nature 404: 755–758.10.1038/35008063Search in Google Scholar
Hardouin E.A., J.L. Chapuis, M.I. Stevens, B. Jansen van Vuuren, P. Quillfeldt, R.J. Scavetta, M. Teschke and D. Tautz. 2010. House mouse colonization patterns on the sub-Antarctic Kerguelen Archipelago suggest singular primary invasions and resilience against re-invasion. BMC Evol. Biol. 10: 325.10.1186/1471-2148-10-325Search in Google Scholar PubMed PubMed Central
Hardy, O.J. and X. Vekemans. 2002. SPAGEDi: a versatile computer program to analyse spatial genetic structure at the individual or population levels. Mol. Ecol. Notes 2: 618–620.10.1046/j.1471-8286.2002.00305.xSearch in Google Scholar
Hewitt, G. 2000. The genetic legacy of the Quaternary ice ages. Nature 405: 907–913.10.1038/35016000Search in Google Scholar PubMed
Hey, J. and R. Nielsen. 2004. Multilocus methods for estimating population sizes, migration rates and divergence time, with applications to the divergence of Drosophila pseudoobscura and D. persimilis. Genetics 167: 747–760.Search in Google Scholar
Hey, J. and R. Nielsen. 2007. Integration within the Felsenstein equation for improved Markov chain Monte Carlo methods in population genetics. Proc. Natl. Acad. Sci. USA 104: 2785–2790.10.1073/pnas.0611164104Search in Google Scholar PubMed PubMed Central
Hoekstra, H.E., K.E. Drumm and M.W. Nachman. 2004. Ecological genetics of adaptive color polymorphism in pocket mice: geographic variation in selected and neutral genes. Evolution 58: 1329–1341.10.1111/j.0014-3820.2004.tb01711.xSearch in Google Scholar PubMed
Höglund, J. 2009. Evolutionary conservation genetics. Oxford University Press, New York. pp. 189.Search in Google Scholar
Holderegger, R. and M. Di Giulio. 2010. The genetic effects of roads: a review of empirical evidence. Basic Appl. Ecol. 11: 522–531.10.1016/j.baae.2010.06.006Search in Google Scholar
Holderegger, R. and H.H. Wagner. 2006. A brief guide to landscape genetics. Landscape Ecol. 21: 793–796.10.1007/s10980-005-6058-6Search in Google Scholar
Holderegger, R. and H.H. Wagner. 2008. Landscape genetics. Bioscience 58: 199–207.10.1641/B580306Search in Google Scholar
Holderegger, R., U. Kamm and F. Gugerli. 2006. Adaptive vs. neutral genetic diversity: implications for landscape genetics. Landscape Ecol. 21: 797–807.10.1007/s10980-005-5245-9Search in Google Scholar
Holzhauer, S.I.J., K. Ekschmitt, A.C. Sander, J. Dauber and V. Wolters. 2006. Effect of historic landscape change on the genetic structure of the bush-cricket Metrioptera roeseli. Landscape Ecol. 21: 891–899.10.1007/s10980-005-0438-9Search in Google Scholar
Huelsenbeck, J.P., P. Andolfatto and E.T. Huelsenbeck. 2011. Structurama: Bayesian inference of population structure. Evol. Bioinform. 7: 55–59.10.4137/EBO.S6761Search in Google Scholar
Igawa, T., S. Oumi, S. Katsuren and M. Sumida. 2013. Population structure and landscape genetics of two endangered frog species of genus Odorrana: different scenarios on two islands. Heredity 110: 46–56.10.1038/hdy.2012.59Search in Google Scholar
Ingvarsson, P.K. 2001. Restoration of genetic variation lost – the genetic rescue hypothesis. Trends Ecol. Evol. 16: 62–63.10.1016/S0169-5347(00)02065-6Search in Google Scholar
International Union for the Conservation of Nature. 2012. IUCN Red List of Threatened Species. Version 2010.1. Retrieved: 7 November 2012, from www.iucnredlist.org.Search in Google Scholar
Jaquiery, J., T. Broquet, A.H. Hirzel, J. Yearsley and N. Perrin. 2011. Inferring landscape effects on dispersal from genetic distances: how far can we go? Mol. Ecol. 20: 692–705.10.1111/j.1365-294X.2010.04966.xSearch in Google Scholar PubMed
Jensen, J.L., A.J. Bohonak and S.T. Kelley 2005. Isolation by distance, web service. BMC Genet. 6: 13.10.1186/1471-2156-6-13Search in Google Scholar PubMed PubMed Central
Jombart, T. 2008. Adegenet: a R package for the multivariate analysis of genetic markers. Bioinformatics 24: 1403–1405.10.1093/bioinformatics/btn129Search in Google Scholar PubMed
Jombart, T., S Devillard, A.B. Dufour and D. Pontier. 2008. Revealing cryptic spatial patterns in genetic variability by a new multivariate method. Heredity 101: 92–103.10.1038/hdy.2008.34Search in Google Scholar PubMed
Jombart, T., D Pontier and A.B. Dufour. 2009. Genetic markers in the playground of multivariate analysis. Heredity 102: 330–341.10.1038/hdy.2008.130Search in Google Scholar PubMed
Jombart, T., S. Devillard and F. Balloux. 2010. Discriminant analysis of principal components: a new method for the analysis of genetically structured populations. BMC Genet. 11: 94.10.1186/1471-2156-11-94Search in Google Scholar PubMed PubMed Central
Joost, S., A. Bonin, M.W. Bruford, L. Despres, C. Conord, G. Erhardt and P. Taberlet. 2007. A spatial analysis method (SAM) to detect candidate loci for selection: towards a landscape genomics approach to adaptation. Mol. Ecol. 16: 3955–3969.10.1111/j.1365-294X.2007.03442.xSearch in Google Scholar PubMed
Karsten, M., B. Jansen van Vuuren, P. Goodman and A. Barnaud. 2011. The history and management of black rhino in KwaZulu-Natal: a population genetic approach to assess the past and guide the future. Anim. Conserv. 14: 363–370.10.1111/j.1469-1795.2011.00443.xSearch in Google Scholar
Kawecki, T.J. and D. Ebert. 2004. Conceptual issues in local adaptation. Ecol. Lett. 7: 1225–1241.10.1111/j.1461-0248.2004.00684.xSearch in Google Scholar
Knowles, L.L. and D.F. Alvarado-Serrano. 2010. Exploring the population genetic consequences of the colonization process with spatio-temporally explicit models: insights from coupled ecological, demographic and genetic models in montane grasshoppers. Mol. Ecol. 19: 3727–3745.Search in Google Scholar
Konecny, A., A. Estoup, J.M. Duplantier, J. Bryja, K. Ba, M. Galan, C. Tatard and J.F. Cosson. 2013. Invasion genetics of the introduced black rat (Rattus rattus) in Senegal, West Africa. Mol. Ecol. 22: 286–300.Search in Google Scholar
Kozak, K.H., C.H. Graham and J.J. Wiens. 2008. Integrating GIS-based environmental data into evolutionary biology. Trends Ecol. Evol. 23: 141–148.10.1016/j.tree.2008.02.001Search in Google Scholar PubMed
Landguth, E.L. and S.A. Cushman. 2010. CDPOP: a spatially-explicit cost distance population genetics program. Mol. Ecol. Resour. 10: 156–161.10.1111/j.1755-0998.2009.02719.xSearch in Google Scholar PubMed
Landguth, E.L., S.A. Cushman, M.K. Schwartz, K.S. McKelvey, M. Murphy and G. Luikart. 2010. Quantifying the lag time to detect barriers in landscape genetics. Mol. Ecol. 19: 4179–4191.10.1111/j.1365-294X.2010.04808.xSearch in Google Scholar PubMed
Landguth, E.L., B.K. Hand, J. Glassy, S.A. Cushman and M.A. Sawaya. 2012. UNICOR: a species connectivity and corridor network simulator. Ecography 35: 9–14.10.1111/j.1600-0587.2011.07149.xSearch in Google Scholar
Langella, O. 1999. Populations, 1.2.30 Copyright (C) Free Software Foundation.Search in Google Scholar
Legendre, P. and A. Vaudour 1991. The R package: multidimensional analysis, spatial analysis. Université de Montréal Département de sciences biologiques, Montréal.Search in Google Scholar
Lesbarreres, D. and L. Fahrig. 2012. Measures to reduce population fragmentation by roads: what has worked and how do we know? Trends Ecol. Evol. 27: 374–380.10.1016/j.tree.2012.01.015Search in Google Scholar PubMed
Levins, R. 1969. Some demographic and genetic consequences of environmental heterogeneity for biological control. Bull. Entomol. Soc. Am. 15: 237–240.10.1093/besa/15.3.237Search in Google Scholar
Lowe, W.H. and F. Allendorf. 2010. What can genetics tell us about population connectivity? Mol. Ecol. 19: 3038–3051.10.1111/j.1365-294X.2010.04688.xSearch in Google Scholar PubMed
Lowry, D.B. 2010. Landscape evolutionary genomics. Biol. Lett. 6: 502–504.10.1098/rsbl.2009.0969Search in Google Scholar PubMed PubMed Central
Malausa, T., A. Gilles, E. Meglecz, H. Blanquart, S. Duthoy, C. Costedoat, V. Dubut, N. Pech, P. Castagnone-Sereno, C. Delye, N. Feau, P. Frey, P. Gauthier, T. Guillemaud, L. Hazard, V. Le Corre, B. Lung-Escarmant, P.J.G. Male, S. Ferreira and J.F. Martin. 2011. High-throughput microsatellite isolation through 454 GS-FLX Titanium pyrosequencing of enriched DNA libraries. Mol. Ecol. Resour. 11: 638–644.10.1111/j.1755-0998.2011.02992.xSearch in Google Scholar
Manel, S. and G. Segelbacher. 2009. Perspectives and challenges in landscape genetics. Mol. Ecol. 18: 1821–1822.10.1111/j.1365-294X.2009.04151.xSearch in Google Scholar
Manel, S., M.K. Schwartz, G. Luikart and P. Taberlet. 2003. Landscape genetics: combining landscape ecology and population genetics. Trends Ecol. Evol. 18: 189–197.10.1016/S0169-5347(03)00008-9Search in Google Scholar
Manel, S., S. Joost, B.K. Epperson, R. Holderegger, A. Storfer, M.S. Rosenberg, K.T. Scribner, A. Bonin and M.J. Fortin. 2010. Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field. Mol. Ecol. 19: 3760–3772.10.1111/j.1365-294X.2010.04717.xSearch in Google Scholar PubMed
Manel, S., C.H. Albert and N.G. Yoccoz. 2012. Sampling in landscape genomics. Methods Mol. Biol. 888: 3–12.10.1007/978-1-61779-870-2_1Search in Google Scholar PubMed
Mapelli, F.J., M.S. Mora, P.M. Mirol and M.J. Kittlein. 2012. Population structure and landscape genetics in the endangered subterranean rodent Ctenomys porteousi. Conserv. Genet. 13: 165–181.10.1007/s10592-011-0273-2Search in Google Scholar
McGarigal, K. and B.J. Marks. 1994. FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. University State Oregon Forest Sciences Department, Corvallis, OR.10.2737/PNW-GTR-351Search in Google Scholar
McRae, B.H. 2006. Isolation by resistance. Evolution 60: 1551–1561.10.1111/j.0014-3820.2006.tb00500.xSearch in Google Scholar
McRae, B.H. and V.B. Shah. 2011. Circuitscape user guide. Online. The University of California, Santa Barbara, CA. Available at: http://www.circuitscape.org. Accessed 15 June, 2013.Search in Google Scholar
Mech, S.G. and J.G. Hallett. 2001. Evaluating the effectiveness of corridors: a genetic approach. Conserv. Biol. 15: 467–474.10.1046/j.1523-1739.2001.015002467.xSearch in Google Scholar
Minor E. and D. Urban. 2008. A graph-theory framework for evaluating landscape connectivity and conservation planning. Conserv. Biol. 22: 297–307.10.1111/j.1523-1739.2007.00871.xSearch in Google Scholar PubMed
Mitchell-Olds, T., M. Feder and G. Wray. 2008. Evolutionary and ecological functional genomics. Heredity 100: 101–102.10.1038/sj.hdy.6801015Search in Google Scholar
Moore, J.A., D.A. Tallmon, J. Nielsen and S. Pyare. 2011. Effects of the landscape on boreal toad gene flow: does the pattern-process relationship hold true across distinct landscapes at the northern range margin? Mol. Ecol. 20: 4858–4869.10.1111/j.1365-294X.2011.05313.xSearch in Google Scholar
Morin, P.A., G. Luikart and R.K. Wayne. 2004. SNPs in ecology, evolution and conservation. Trends Ecol. Evol. 19: 208–216.Search in Google Scholar
Moritz, C. 1994. Defining evolutionarily-significant-units for conservation. Trends Ecol. Evol. 9: 373–375.10.1016/0169-5347(94)90057-4Search in Google Scholar
Munshi-South, J. 2012. Urban landscape genetics: canopy cover predicts gene flow between white-footed mouse (Peromyscus leucopus) populations in New York City. Mol. Ecol. 21: 1360–1378.10.1111/j.1365-294X.2012.05476.xSearch in Google Scholar PubMed
Nei, M. 1972. Genetic distance between populations. Am. Nat. 106: 283.10.1086/282771Search in Google Scholar
Nei, M. 1983. Genetic diversity and the neutral mutation theory. Heredity 51: 531.Search in Google Scholar
Olivier, P.I., R.J. Van Aarde and S.M. Ferreira. 2009. Support for a metapopulation structure among mammals. Mamm. Rev. 39: 178–192.10.1111/j.1365-2907.2009.00143.xSearch in Google Scholar
Oyler-McCance, S.J., B.C. Fedy and E.L. Landguth. 2013. Sample design effects in landscape genetics. Conserv. Genet. 14:275–285.10.1007/s10592-012-0415-1Search in Google Scholar
Peakall, R. and P.E. Smouse. 2012. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research – an update. Bioinformatics 28: 2537–2539.10.1093/bioinformatics/bts460Search in Google Scholar PubMed PubMed Central
Perez-Espona, S., F.J. Perez-Barberia, J.E. McLeod, C.D. Jiggins, I.J. Gordon and J.M. Pemberton. 2008. Landscape features affect gene flow of Scottish Highland red deer (Cervus elaphus). Mol. Ecol. 17: 981–996.10.1111/j.1365-294X.2007.03629.xSearch in Google Scholar PubMed
Piry, S., A. Alapetite, J.M. Cornuet, D. Paetkau, L. Baudouin and A. Estoup. 2004. GENECLASS2: a software for genetic assignment and first-generation migrant detection. J. Hered. 95: 536–539.10.1093/jhered/esh074Search in Google Scholar PubMed
Pritchard, J.K., M. Stephens and P. Donnelly. 2000. Inference of population structure using multilocus genotype data. Genetics 155: 945–959.10.1093/genetics/155.2.945Search in Google Scholar PubMed PubMed Central
Rabinowitz, A. and K.A. Zeller. 2010. A range-wide model of landscape connectivity and conservation for the jaguar, Panthera onca. Biol. Conserv. 143: 939–945.Search in Google Scholar
Ray, N., A. Lehmann and P. Joly. 2002. Modeling spatial distribution of amphibian populations: a GIS approach based on habitat matrix permeability. Biodivers. Conserv. 11: 2143–2165.10.1023/A:1021390527698Search in Google Scholar
Raymond, M. and F. Rousset. 1995. GENEPOP (VERSION-1.2) – population-genetics software for exact tests and ecumenicism. J. Hered. 86: 248–249.10.1093/oxfordjournals.jhered.a111573Search in Google Scholar
Ronce, O. 2007. How does it feel to be like a rolling stone? Ten questions about dispersal evolution. Annu. Rev. Ecol. Evol. Syst. 38: 231–253.10.1146/annurev.ecolsys.38.091206.095611Search in Google Scholar
Rosenberg, M.S. and C.D. Anderson. 2011. PASSaGE: pattern analysis, spatial statistics and geographic exegesis. Version 2. Methods Ecol. Evol. 2: 229–232.Search in Google Scholar
Rousset, F. 2002. Partial Mantel tests: reply to Castellano and Balletto. Evolution 56: 1874–1875.10.1111/j.0014-3820.2002.tb00204.xSearch in Google Scholar
Ruiz-Garcia, M., E. Payan, A. Murillo and D. Alvarez. 2006. DNA microsatellite characterization of the jaguar (Panthera onca) in Colombia. Genes Genet. Syst. 81: 115–127.10.1266/ggs.81.115Search in Google Scholar PubMed
Schoville, S.D., A. Bonin, O. François, S. Lobreaux, C. Melodelima and S. Manel. 2012. Adaptive genetic variation on the landscape: methods and cases. Annu. Rev. Ecol. Evol. Syst. 43: 23–43.10.1146/annurev-ecolsys-110411-160248Search in Google Scholar
Schwartz, M.K. and K.S. McKelvey. 2009. Why sampling scheme matters: the effect of sampling scheme on landscape genetic results. Conserv. Genet. 10: 441–452.10.1007/s10592-008-9622-1Search in Google Scholar
Scoble, J. and A.J. Lowe. 2010. A case for incorporating phylogeography and landscape genetics into species distribution modelling approaches to improve climate adaptation and conservation planning. Divers. Distrib. 16: 343–353.10.1111/j.1472-4642.2010.00658.xSearch in Google Scholar
Segelbacher, G., S.A. Cushman, B.K. Epperson, M.J. Fortin, O. Francois, O.J. Hardy, R. Holderegger, P. Taberlet, L.P. Waits and S. Manel. 2010. Applications of landscape genetics in conservation biology: concepts and challenges. Conserv. Genet. 11: 375–385.10.1007/s10592-009-0044-5Search in Google Scholar
Short Bull, R.A., S. Cushman, A.R. Mace, T. Chilton, K.C. Kendall, E.L. Landguth, M.K. Schwartz, K. Mckelvey, F.W. Allendorf and G. Luikart. 2011. Why replication is important in landscape genetics: American black bear in the Rocky Mountains. Mol. Ecol. 20: 1092–1107.10.1111/j.1365-294X.2010.04944.xSearch in Google Scholar PubMed
Smit, H.A., J. Watson and B.J. van Vuuren. 2010. Relative importance of habitat connectivity in shaping the genetic profiles of two southern African elephant-shrews. J. Biogeogr. 37: 857–864.10.1111/j.1365-2699.2009.02249.xSearch in Google Scholar
Storfer, A., M.A. Murphy, J.S. Evans, C.S. Goldberg, S. Robinson, S.F. Spear, R. Dezzani, E. Delmelle, L. Vierling and L.P. Waits. 2007. Putting the ‘landscape’ in landscape genetics. Heredity 98: 128–142.10.1038/sj.hdy.6800917Search in Google Scholar PubMed
Storfer, A., M.A. Murphy, S.F. Spear, R. Holderegger and L.P. Waits. 2010. Landscape genetics: where are we now? Mol. Ecol. 19: 3496–3514.10.1111/j.1365-294X.2010.04691.xSearch in Google Scholar PubMed
Tallmon, D.A., A. Koyuk, G. Luikart and M.A. Beaumont. 2008. ONeSAMP: a program to estimate effective population size using approximate Bayesian computation. Mol. Ecol. Resources 8: 299–301.10.1111/j.1471-8286.2007.01997.xSearch in Google Scholar PubMed
Taylor, P.D., L. Fahrig, K. Henein and G. Merriam. 1993. Connectivity is a vital element of landscape structure. Oikos 68: 571–573.10.2307/3544927Search in Google Scholar
Ter Braak, C.J.F. and P. Smilauer 2002. CANOCO reference manual and CanoDraw for Windows user’s guide: software for canonical community ordination (version 4.5). Microcomputer Power, Ithaca, NY.Search in Google Scholar
Thioulouse, J., D. Chessel, S. Dolédec and J.M. Olivier. 1997. ADE-4: a multivariate analysis and graphical display software. Stat. Comput.7: 75–83.10.1023/A:1018513530268Search in Google Scholar
Tischendorf, L. and L. Fahrig. 2000. How should we measure landscape connectivity? Landscape Ecol. 15: 633–641.10.1023/A:1008177324187Search in Google Scholar
Tollenaere C., C. Brouat, J.M. Duplantier, L. Rahalison, S. Rahelinirina, M. Pascal, H. Moné, G. Mouahid, H. Leirs and J.F. Cosson. 2010. Phylogeography of the introduced species Rattus rattus in the western Indian Ocean, with special emphasis on the colonization history of Madagascar. J. Biogeogr. 37: 398–410.Search in Google Scholar
Turner, M.G., R.H. Gardner and R.V. O’Neill. 2001. Landscape ecology in theory and practice. Springer-Verlag, New York. pp. 401.Search in Google Scholar
Veech, J.A. and T.O. Crist. 2009. PARTITION: software for hierarchical partitioning of species diversity, version 3.0. http://www.users.muohio.edu/cristto/partition.htm. Accessed 15 June, 2013.Search in Google Scholar
Vernesi, C., M.W. Bruford, G. Bertorelle, E. Pecchioli, A. Rizzoli and H.C. Hauffe. 2008. Where’s the conservation in conservation genetics? Conserv. Biol. 22: 802–804.10.1111/j.1523-1739.2008.00911.xSearch in Google Scholar PubMed
Vitalis, R., K. Dawson and P. Boursot. 2001. Interpretation of variation across marker loci as evidence of selection. Genetics 158: 1811–1823.10.1093/genetics/158.4.1811Search in Google Scholar PubMed PubMed Central
Wang, I.J. 2010. Recognizing the temporal distinctions between landscape genetics and phylogeography. Mol. Ecol. 19: 2605–2608.10.1111/j.1365-294X.2010.04715.xSearch in Google Scholar PubMed
Wang, I.J. 2011. Choosing appropriate genetic markers and analytical methods for testing landscape genetic hypotheses. Mol. Ecol. 20: 2480–2482.10.1111/j.1365-294X.2011.05123.xSearch in Google Scholar
Wasserman, T.N., S.A. Cushman, J.S. Littell, A.J. Shirk and E.L. Landguth. 2013. Population connectivity and genetic diversity of American marten (Martes americana) in the United States northern Rocky Mountains in a climate change. Conserv. Genet. 14: 529–541.10.1007/s10592-012-0336-zSearch in Google Scholar
Wilson, G.A. and B. Rannala. 2003. Bayesian inference of recent migration rates using multilocus genotypes. Genetics 163: 1177–1191.10.1093/genetics/163.3.1177Search in Google Scholar PubMed PubMed Central
Wright, S. 1951. The genetical structure of populations. Ann. Eugenics 15: 323–354.10.1111/j.1469-1809.1949.tb02451.xSearch in Google Scholar PubMed
Wu, J. and R.J. Hobbs. 2007. Landscape ecology: the state-of-the-science. In: (J. Wu and R.J. Hobbs) Key topics in landscape ecology. Cambridge University Press, Cambridge, UK. pp. 271–287.Search in Google Scholar
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