References
Abrahms B, Sawyer SC, Jordan NR, McNutt JW, Wilson AM, Brashares JS. 2017. Does wildlife resource selection accurately inform corridor conservation? Journal of Applied Ecology 54 :412–422.
Albert CH, Rayfield B, Dumitru M, Gonzalez A. 2017. Applying network theory to prioritize multispecies habitat networks that are robust to climate and land-use change. Conservation Biology31 :1383–1396.
Alexander NB, Statham MJ, Sacks BN, Bean WT. 2019. Generalist dispersal and gene flow of an endangered keystone specialist (Dipodomys ingens ). Journal of Mammalogy 100 :1533–1545.
Allen AM, Singh NJ. 2016. Linking movement ecology with wildlife management and conservation. Frontiers in Ecology and Evolution3 :155.
Almasieh K, Rouhi H, Kaboodvandpour S. 2019. Habitat suitability and connectivity for the brown bear (Ursus arctos ) along the Iran-Iraq border. European Journal of Wildlife Research 65 :57.
Aylward CM, Murdoch JD, Kilpatrick CW. 2020. Multiscale Landscape Genetics of American Marten at Their Southern Range Periphery. Heredity 124 (4): 550–61.
Beier P, Majka DR, Newell SL. 2009. Uncertainty analysis of least-cost modeling for designing wildlife linkages. Ecological Applications19 :2067–2077.
Bond ML, Bradley CM, Kiffner C, Morrison TA, Lee DE. 2017. A multi-method approach to delineate and validate migratory corridors. Landscape Ecology 32 :1705–1721.
Bowman J, Adey E, Angoh SYJ, Baici JE, Brown MGC, Cordes C, Dupuis AE, Newar SL, Scott LM, Solmundson K. 2020. Effects of cost surface uncertainty on current density estimates from circuit theory. PeerJ8 :e9617.
Brennan A, Hanks EM, Merkle JA, Cole EK, Dewey SR, Courtemanch AB, Cross PC. 2018. Examining speed versus selection in connectivity models using elk migration as an example. Landscape Ecology 33 :955–968.
Brondizio ES, Settele J, Diaz S, Ngo HT, editors. 2019. Global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. IPBES secretariat, Bonn, Germany.
Carroll KA, Hansen AJ, Inman RM, Lawrence RL, Hoegh AB. 2020. Testing landscape resistance layers and modeling connectivity for wolverines in the western United States. Global Ecology and Conservation23 :e01125.
Cerqueira RC, Leonard PB, da Silva LG, Bager A, Clevenger AP, Jaeger JAG, Grilo C. 2021. Potential movement corridors and high road-kill likelihood do not spatially coincide for felids in Brazil: implications for road mitigation. Environmental Management 67 :412–423.
Churko G, Kienast F, Bolliger J. 2020. A multispecies assessment to identify the functional connectivity of amphibians in a human-dominated landscape. ISPRS International Journal of Geo-Information9 :287.
Convention on Biological Diversity. 2010. Aichi Target 11 — Technical Rationale Extended. Available from https://www.cbd.int/sp/targets/rationale/target-11/ (accessed June 29, 2020).
Convention on Migratory Species. 2020. Resolution 12.26: Improving ways of addressing connectivity in the conservation of migratory species. Conference of the Parties, 13th Meeting UNEP / CMS, Gandhinagar, India.
Correa Ayram CA, Mendoza ME, Etter A, Salicrup DRP. 2016. Habitat connectivity in biodiversity conservation: A review of recent studies and applications. Progress in Physical Geography: Earth and Environment40 :7–37.
Di Febbraro M et al. 2019. Integrating climate and land-use change scenarios in modelling the future spread of invasive squirrels in Italy. Diversity and Distributions 25 :644–659.
Dickson BG et al. 2019. Circuit-theory applications to connectivity science and conservation. Conservation Biology 33 :239–249.
Diniz MF, Cushman SA, Machado RB, De Marco Júnior P. 2020. Landscape connectivity modeling from the perspective of animal dispersal. Landscape Ecology 35 :41–58.
Dutta T, Sharma S, DeFries R. 2018. Targeting restoration sites to improve connectivity in a tiger conservation landscape in India. PEERJ6 :e5587.
Elliot NB, Cushman SA, Macdonald DW, Loveridge AJ. 2014. The devil is in the dispersers: predictions of landscape connectivity change with demography. Journal of Applied Ecology 51 :1169–1178.
Epps CW, Castillo JA, Schmidt-Kuentzel A, du Preez P, Stuart-Hill G, Jago M, Naidoo R. 2013. Contrasting historical and recent gene flow among African buffalo herds in the Caprivi Strip of Namibia. Journal of Heredity 104 :172–181.
Fraser H, Parker T, Nakagawa S, Barnett A, Fidler F. 2018. Questionable research practices in ecology and evolution. PLOS ONE13 :e0200303.
Gallo J A, Greene R. 2018. Connectivity analysis software for estimating linkage priority. Conservation Biology Institute, Corvallis, Oregon, U.S.A.
Gantchoff MG, Belant JL. 2017. Regional connectivity for recolonizing American black bears (Ursus americanus ) in southcentral USA. Biological Conservation 214 :66–75.
Goicolea T, Gastón A, Cisneros-Araujo P, García-Viñas JI, Mateo-Sánchez MC.
2021. Deterministic, random, or in between? Inferring the randomness level of wildlife movements. Movement Ecology 9:1-33.
Hannah L. 2011. Climate change, connectivity, and conservation success. Conservation Biology 25 :1139–1142.
Heller NE, Zavaleta ES. 2009. Biodiversity management in the face of climate change: A review of 22 years of recommendations. Biological Conservation 142 :14–32.
Hilty J et al. 2020. Guidelines for conserving connectivity through ecological networks and corridors. Page (Groves C, editor). IUCN, International Union for Conservation of Nature. Available from https://portals.iucn.org/library/node/49061 (accessed January 18, 2021).
Keeley ATH, Beier P, Keeley BW, Fagan ME. 2017. Habitat suitability is a poor proxy for landscape connectivity during dispersal and mating movements. Landscape and Urban Planning 161 :90–102.
Koen EL, Bowman J, Sadowski C, Walpole AA. 2014. Landscape connectivity for wildlife: development and validation of multispecies linkage maps. Methods in Ecology and Evolution 5 :626–633.
Kranstauber B, Cameron A, Weinzerl R, Fountain T, Tilak S, Wikelski M, Kays R. 2011. The Movebank data model for animal tracking. Environmental Modelling & Software 26 :834–835.
Laita A, Kotiaho JS, Monkkonen M. 2011. Graph-theoretic connectivity measures: what do they tell us about connectivity? Landscape Ecology26 :951–967.
Laliberté J, St-Laurent M-H. 2020. Validation of functional connectivity modeling: the Achilles’ heel of landscape connectivity mapping. Landscape and Urban Planning 202 :103878.
Landguth EL, Hand BK, Glassy J, Cushman SA, Sawaya MA. 2012. UNICOR: a species connectivity and corridor network simulator. Ecography35 :9–14.
LaPoint S, Gallery P, Wikelski M, Kays R. 2013. Animal behavior, cost-based corridor models, and real corridors. Landscape Ecology28 :1615–1630.
Liu S, Dong Y, Deng L, Liu Q, Zhao H, Dong S. 2014. Forest fragmentation and landscape connectivity change associated with road network extension and city expansion: A case study in the Lancang River Valley. Ecological Indicators 36 :160–168.
Marrec R, Abdel Moniem HE, Iravani M, Hricko B, Kariyeva J, Wagner HH. 2020. Conceptual framework and uncertainty analysis for large-scale, species-agnostic modelling of landscape connectivity across Alberta, Canada. Scientific Reports 10 :1–14.
McClure ML, Hansen AJ, Inman RM. 2016. Connecting models to movements: testing connectivity model predictions against empirical migration and dispersal data. Landscape Ecology 31 :1419–1432.
McRae BH, Dickson BG, Keitt TH, Shah VB. 2008. Using circuit theory to model connectivity in ecology, evolution, and conservation. Ecology89 :2712–2724.
McRae BH, Shah VB, Mohapatra TK. 2013. Circuitscape 4 User Guide. The Nature Conservancy. Available from http://www.circuitscape.org.
Merrick MJ, Koprowski JL. 2017. Circuit theory to estimate natal dispersal routes and functional landscape connectivity for an endangered small mammal. Landscape Ecology 32 :1163–1179.
Newbold T et al. 2015. Global effects of land use on local terrestrial biodiversity. Nature 520 :45–50.
Osipova L, Okello MM, Njumbi SJ, Ngene S, Western D, Hayward MW, Balkenhol N. 2019. Using step-selection functions to model landscape connectivity for African elephants: accounting for variability across individuals and seasons. Animal Conservation 22 :35–48.
Popescu VD, Kenyon M, Brown RK, Dyck MA, Prange S, Peterman WE, Dennison C. 2021. Habitat connectivity and resource selection in an expanding bobcat (Lynx rufus) population. PeerJ.
Pitman RT et al. 2017. Cats, connectivity and conservation: incorporating data sets and integrating scales for wildlife management. Journal of Applied Ecology 54 :1687–1698.
Roberts D et al. 2016. Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure. Ecography40 :913–929.
Sawyer SC, Epps CW, Brashares JS. 2011. Placing linkages among fragmented habitats: do least-cost models reflect how animals use landscapes? Journal of Applied Ecology 48 :668–678.
Spear SF, Balkenhol N, Fortin M-J, McRae BH, Scribner K. 2010. Use of resistance surfaces for landscape genetic studies: considerations for parameterization and analysis. Molecular Ecology 19 :3576–3591.
Tamme R, Götzenberger L, Zobel M, Bullock JM, Hooftman DAP, Kaasik A, Pärtel M. 2014. Predicting species’ maximum dispersal distances from simple plant traits. Ecology 95 :505–513.
Thomas CD et al. 2004. Extinction risk from climate change. Nature427 :145–148.
Wade AA, McKelvey KS, Schwartz MK. 2015. Resistance-surface-based wildlife conservation connectivity modeling: Summary of efforts in the United States and guide for practitioners. RMRS-GTR-333. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ft. Collins, CO. Available from https://www.fs.usda.gov/treesearch/pubs/48464 (accessed May 4, 2020).
Wallis DW, Hodgson JA. 2015. Condatis: software to assist with the planning of habitat restoration. Available from www.condatis.org.uk.
Warren DL, Matzke NJ, Iglesias TL. 2020. Evaluating presence-only species distribution models with discrimination accuracy is uninformative for many applications. Journal of Biogeography47 :167–180.
Wikelski M, Davidson SC, Kays R. 2020. Movebank: archive, analysis and sharing of animal movement data. Hosted by the Max Planck Institute of Animal Behavior. Available from www.movebank.org (accessed June 12, 2020).
Xu W, Huang Q, Stabach J, Buho H, Leimgruber P. 2019. Railway underpass location affects migration distance in Tibetan antelope (Pantholops hodgsonii ). PLOS ONE 14 .
Zeller KA, Jennings MK, Vickers TW, Ernest HB, Cushman SA, Boyce WM. 2018. Are all data types and connectivity models created equal? Validating common connectivity approaches with dispersal data. Diversity and Distributions 24 :868–879.
Zeller KA, McGarigal K, Cushman SA, Beier P, Vickers TW, Boyce WM. 2017. Sensitivity of resource selection and connectivity models to landscape definition. Landscape Ecology 32 :835–855.
Zeller KA, McGarigal K, Whiteley AR. 2012. Estimating landscape resistance to movement: a review. Landscape Ecology27 :777–797.
Zhang Y, Clauzel C, Li J, Xue Y, Zhang Y, Wu G, Giraudoux P, Li L, Li D. 2019. Identifying refugia and corridors under climate change conditions for the Sichuan snub-nosed monkey (Rhinopithecus roxellana ) in Hubei Province, China. Ecology and Evolution 9 :1680–1690.