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Multi-species genetic connectivity in a terrestrial habitat network
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Analysing connectivity according to the needs of a diverse number of species should lead to a more robust and realistic output, as a small number of focal species seldom encompass the whole range of dispersal behaviours.
“It should lead to a more robust and realistic output, as a small number of focal species seldom encompass the whole range of dispersal behaviours”
From Omnidirectional and omnifunctional connectivity analyses with a diverse species pool (2020) · cites this paper as Marrotte et al., 2017
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Cites
USING CIRCUIT THEORY TO MODEL CONNECTIVITY IN ECOLOGY, EVOLUTION, AND CONSERVATION
McRae, B. H., Dickson, B. G., Keitt, T. H., & Shah, V. B. (2008) · Ecology · doi:10.1890/07-1861.1 · Cited by 2,244
Landscape connectivity for wildlife: development and validation of multispecies linkage maps
Koen, E. L., Bowman, J., Sadowski, C., & Walpole, A. A. (2014) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12197 · Cited by 293
Self-citationPelletier, D., Clark, M., Anderson, M. G., Rayfield, B., Wulder, M. A., & Cardille, J. A. (2014) · PLOS One · doi:10.1371/journal.pone.0084135 · Cited by 158
The effect of map boundary on estimates of landscape resistance to animal movement
Koen, E. L., Garroway, C. J., Wilson, P. J., & Bowman, J. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011785 · Cited by 148
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Research works printed but not linked: 55
- Dakos V, Quinlan A, Baggio JA, Bennett E, Bodin Ö, BurnSilver S. Principles for building resilience: Sustaining Ecosystem Services. In: Biggs R, Schlüter M, Schoon ML, editors. Social-Ecological Systems. Cambridge: Cambridge University Press; 2015.
- Taylor PD, Fahrig L, Henein K, Merriam G. Connectivity is a vital element of landscape structure. Oikos. 1993;68:571–3. · DOI · Paper page
- Gubbi S, Mukherjee K, Swaminath MH, Poornesha HC. Providing more protected space for tigers Panthera tigris: a landscape conservation approach in the Western Ghats, southern India. Oryx. 2015;50:336–43. · DOI
- Schadt S, Knauer F, Kaczensky P, Revilla E, Wiegand T, Trepl L. Rule-based assessment of suitable habitat and path connectivity for the Eurasian Lynx. Ecol Appl. 2002;12:1469–83. · DOI
- Rees EE, Pond BA, Tinline RR, Bélanger D. Modelling the effect of landscape heterogeneity on the efficacy of vaccination for wildlife infectious disease control. J Appl Ecol. 2013;50:881–91. · DOI
- Dilkina B, Houtman R, Gomes CP, Montgomery CA, McKelvey KS, Kendall K, Graves TA, Bernstein R, Schwartz MK. Trade-offs and efficiencies in optimal budget-constrained multispecies corridor networks. Conserv Biol. 2016; doi: 10.1111/cobi.12814 . · DOI
- Santini L, Saura S, Rondinini C. A composite network approach for assessing multi-species connectivity: an application to road defragmentation prioritisation. PLoS One. 2016;11:e0164794. · DOI
- Cushman SA, Landguth EL. Multi-taxa population connectivity in the Northern Rocky Mountains. Ecol Model. 2012;231:101–12. · DOI · Paper page
- Tischendorf L, Fahrig L. On the usage and measurement of landscape connectivity. Oikos. 2000;90:7–19. · DOI
- Lowe WH, Allendorf FW. What can genetics tell us about population connectivity? Mol Ecol. 2010;19:3038–51. · DOI
- Keyghobadhi N, Roland J, Strobeck C. Genetic differentiation and gene flow among populations of the alpine butterfly, Parnassius smintheus, vary with landscape connectivity. Mol Ecol. 2005;14:1897–909. · DOI
- Stevens VM, Verkenne C, Vandewoestijne S, Wesselingh RA, Baguette M. Gene flow and functional connectivity in the natterjack toad. Mol Ecol. 2006;15:2333–44. · DOI
- Maag N, Karpati T, Bollmann K. Semi-natural river system maintains functional connectivity and gene flow of the critically endangered gravel grasshopper (Chorthippus pullus). Biol Conserv. 2013;158:88–97. · DOI
- Favre-Bac L, Mony C, Ernoult A, Burel F, Arnaud JF. Ditch networks sustains functional connectivity and influences patterns of gene flow in an intensive agricultural landscape. Heredity. 2016;116:200–12. · DOI
- Bowman J, Greenhorn JE, Marrotte RR, McKay MM, Morris KY, Prentice MB, Wehtje M. On applications of landscape genetics. Conserv Genet. 2016;17:753–60. · DOI
- Waples RS. A multispecies approach to the analysis of gene flow in marine shore fishes. Evolution. 1987;41:385–400. · DOI
- Selkoe KA, Gaggiotti OE, Bowen BW, Toonen RJ. Emergent patterns of population genetic structure for a coral reef community. Mol Ecol. 2014;23:3064–79. · DOI
- Mech SG, Hallett JG. Evaluating the effectiveness of corridors: a genetic approach. Conserv Biol. 2001;15:467–74. · DOI
- Wultsch C, Waits LP, Kelly MJ. A comparative analysis of genetic diversity and structure in jaguars (Panthera onca), pumas (Puma concolor), and ocelots (Leopardus pardalis) in fragmented landscapes of a critical Mesoamerican linkage zone. PLoS One. 2016;11:e0151043. · DOI
- Albert CH, Rayfield B, Dumitru M, Gonzalez A. Applying network theory to prioritize multi-species habitat networks that are robust to climate and land-use change. Conserv Biol. 2017; doi: 10.1111/cobi.12943 . · DOI · Paper page
- Brudvig LA, Damschen EI, Haddad NM, Levey DJ, Tewksbury JJ. The influence of habitat fragmentation on multiple plant–animal interactions and plant reproduction. Ecology. 2015;96(10):2669–78. · DOI
- Brodie JF, Giordano AJ, Dickson B, Hebblewhite M, Bernard H, Mohd-Azlan J, Anderson J, Ambu L. Evaluating multispecies landscape connectivity in a threatened tropical mammal community. Conserv Biol. 2015;29:122-32. · DOI
- Adriaensen F, Chardon JP, De Blust G, Swinnen E, Villalba S, Gulinck H, Matthysen E. The application of “least-cost” modeling as a functional landscape model. Landsc Urban Plan. 2003;64:233–47. · DOI · Paper page
- McRae BH, Beier P. Circuit theory predicts gene flow in plant and animal populations. P Natl A Sci. 2007;104:19885–90. · DOI · Paper page
- Marrotte RR, Bowman J. The relationship between least-cost and resistance distance. PLoS One. 2017;12(3):e0174212. · DOI
- Legendre P, Fortin MJ. Comparison of the Mantel test and alternative approaches for detecting complex multivariate relationships in the spatial analysis of genetic data. Mol Ecol Resour. 2010;10:831–44. · DOI
- Guillot G, Rousset F. Dismantling the Mantel tests. Methods Ecol Evol. 2013;4:336–44. · DOI
- Cushman SA, Wasserman TN, Landguth EL, Shirk AJ. Re-evaluation causal modeling with Mantel tests in landscape genetics. Diversity. 2013;5:51–72. · DOI
- Cushman SA, Landguth EL. Spurious correlations and inference in landscape genetics. Mol Ecol. 2010;19:2592–3602. · DOI
- Balkenhol N, Waits LP, Dezzani RJ. Statistical approaches in landscape genetics: an evaluation of methods for linking landscape and genetic data. Ecography. 2009;32:818–30. · DOI
- Koen EL, Bowman J, Wilson PJ. Node-based measures of genetic connectivity. Mol Ecol Resour. 2016;16:69–79. · DOI
- Moilanen A, Nieminen M. Simple connectivity measures in spatial ecology. Ecology. 2002;83:1131–45. · DOI · Paper page
- Prugh LR, Hodges KE, Sinclair AR, Brashares JS. Effect of habitat area and isolation on fragmented animal populations. P Natl A Sci. 2008;105:20770–5. · DOI
- Hanski I, Moilanen A, Pakkala T, Kuussaari M. The quantitative incidence function model and persistence of an endangered butterfly metapopulation. Conserv Biol. 1996;10:578–90. · DOI
- Li H, Li D, Li T, Qiao Q, Yang J, Zhang H. Application of least-cost path model to identify a giant panda dispersal corridor network after that Wenchuan earthquake: Case study of Wolong Nature Reserve in China. Ecol Model. 2010;221:944–52. · DOI
- Doyle PG, Snell JL. Random walks and electric networks. Washington, DC: Mathematical Association of America; 1984. · DOI · Paper page
- Koen EL, Bowman J, Garroway CJ, Mills SC, Wilson PJ. Landscape resistance and American marten gene flow. Landsc Ecol. 2012;27:29–43. · DOI
- Walpole AA, Bowman J, Murray DL, Wilson PJ. Functional connectivity of lynx at their southern range periphery in Ontario, Canada. Landsc Ecol. 2012;27:761–73. · DOI · Paper page
- Bennie J, Davies TW, Inger R, Gaston KJ. Mapping artificial lightscapes for ecological studies. Methods Ecol Evol. 2014;5:534–40. · DOI · Paper page
- Garroway CJ, Bowman J, Carr D, Wilson PJ. Applications of graph theory to landscape genetics. Evol Appl. 2008;1:620–30. · DOI
- Garroway CJ, Bowman J, Wilson PJ. Using a genetic network to parameterize a landscape resistance surface for fishers, Martes pennanti. Mol Ecol. 2011;20:3978–88. · DOI
- Garroway CJ, Bowman J, Cascaden TJ, Holloway GL, Mahan CG, Malcolm JR, Steele MA, Turner G, Wilson PJ. Climate change induced hybridization in flying squirrels. Glob Chang Biol. 2010;16:113–21. · DOI
- Lalor JL. Selection on functional genes across a flying squirrel (genus Glaucomys) hybrid zone. Peterborough: MSc thesis, Trent University; 2014.
- Dyer RJ, Nason JD. Population Graphs: The graph theoretic shape of genetic structure. Mol Ecol. 2004;13:1713–27. · DOI · Paper page
- Dyer RJ. Population Graphs and Landscape Genetics. Annu Rev Ecol Evol Syst. 2015;46:327–42. · DOI
- Andrén H. Effects of habitat fragmentation on birds and mammals in landscapes with different proportions of suitable habitat: a review. Oikos. 1994;71:355–66. · DOI
- Fahrig L. Effects of Habitat Fragmentation on Biodiversity. Annu Rev Ecol Evol Syst. 2003;34:487–515. · DOI · Paper page
- Swift TL, Hannon SJ. Critical thresholds associated with habitat loss: a review of the concepts, evidence, and applications. Biol Rev. 2010;1:35–53. · DOI
- Betts MG, Forbes GJ, Diamond AW, Taylor PD. Independent effects of habitat amount and fragmentation on songbirds in a forest mosaic. Ecol Appl. 2006;16:1076–1089.57. · DOI
- Koen EL, Bowman J, Garroway CJ, Wilson PJ. The sensitivity of genetic connectivity measures to unsampled and under-sampled sites. PLoS One. 2013;8:e56204. · DOI
- Hale ML, Burg TM, Steeves TE. Sampling for microsatellite-based population genetic studies: 25 to 30 individuals per population is enough to accurately estimate allele frequencies. PLoS One. 2012;7:e45170. · DOI
- Leonard PB, Duffy EB, Baldwin RF, McRae BH, Shah VB, Mohapatra TK. gflow: software for modelling circuit theory-based connectivity at any scale. Methods Ecol Evol. 2016; doi: 10.1111/2041-210X.12689 . · DOI · Paper page
- Beier P, Majka DR, Newell SL. Uncertainty analysis of least-cost modeling for designing wildlife linkages. Ecol Appl. 2009;19:2067–77. · DOI · Paper page
- Gittleman JL, Harvey PH. Carnivore Home-Range Size, metabolic needs and ecology. Behav Ecol Sociobiol. 1982;10:57–63. · DOI
- Weaver JL, Paquet PC, Ruggiero LF. Resilience and Conservation of Large Carnivores in the Rocky Mountains. Conserv Biol. 1996;10:964–76. · DOI
Cited by
Sorted by citations
Circuit‐theory applications to connectivity science and conservation
Dickson, B. G., Albano, C. M., Anantharaman, R., Beier, P., Fargione, J., Graves, T. A., Gray, M. E., Hall, K. R., Lawler, J. J., Leonard, P. B., et al. (2019) · Conservation Biology · doi:10.1111/cobi.13230 · Cited by 461
Comparison of methods for estimating omnidirectional landscape connectivity
Phillips, P., Clark, M. M., Baral, S., Koen, E. L., & Bowman, J. (2021) · Landscape Ecology · doi:10.1007/s10980-021-01254-2 · Cited by 62
Self-citationOmnidirectional and omnifunctional connectivity analyses with a diverse species pool
Tessier, D. L., Maranger, R., & Poisot, T. (2020) · bioRxiv · doi:10.1101/2020.02.03.932095 · Cited by 4
Metadata
- Authors
- Marrotte, R. R., Bowman, J., Brown, M. G. C., Cordes, C., Morris, K. Y., Prentice, M. B., & Wilson, P. J.
- ORCID
- Bowman, Jeff
- Venue
- Movement Ecology
- Published
- 2017-10-06
- Volume
- 5
- Issue
- 1
- ISSN
- 2051-3933
- PMC
- PMC5629812
- Cited by
- 50
- References
- 4
- Language
- en
- Funders
- Natural Sciences and Engineering Research Council of Canada (Discovery Grant)
- Ministry of Natural Resources and Forestry
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