The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Estimating landscape resistance to movement: a review
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Using genetic data to inform models of landscape resistance to movement using circuit theory has since become a standard practice.
“Using genetic data to inform models of landscape resistance to movement using circuit theory has since become a standard practice (Zeller et al. 2012; Simpkins et al. 2018).”
From Circuit‐theory applications to connectivity science and conservation (2019) · cites this paper as Zeller et al. 2012
Citations
Cites
McRae, B. H. (2006) · Evolution · doi:10.1111/j.0014-3820.2006.tb00500.x · Cited by 1,081
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
A Habitat Assessment for Florida Panther Population Expansion into Central Florida
Thatcher, C. A., van Manen, F. T., & Clark, J. D. (2009) · Journal of Mammalogy · doi:10.1644/08-mamm-a-219.1 · Cited by 29 · cited 2×
“In the second approach, relocation data were used to construct home ranges (Graham 2001; Kautz et al. 2006; Thatcher et al. 2009).”
Method
Flagged first, then by citations
Research works printed but not linked: 82
- Adriaensen F, Chardon JP, De Blust G, Swinnen E, Villalba S, Gulinck H, Matthysen E (2003) The application of ‘least-cost’ modeling as a functional landscape model. Landsc Urban Plan 64:233–247 · DOI · Paper page
- Bartelt PE, Klaver RW, Porter WP (2010) Modeling amphibian energetics, habitat suitability, and movements of western toads, Anaxyrus (= Bufo) boreas, across present and future landscapes. Ecol Model 221:2675–2686 · DOI
- Beazley K, Smandych L, Snaith T, MacKinnon F, Austen-Smith P Jr, Dunker P (2005) Biodiversity considerations in conservation system planning: map-based approach for Nova Scotia, Canada. Ecol Appl 15:2192–2208 · DOI
- Beier P, Majka DR, Spencer WD (2008) Forks in the road: choices in procedures for designing wildland linkages. Conserv Biol 22:836–851 · DOI · Paper page
- Beier P, Majka DR, Newell SL (2009) Uncertainty analysis of least-cost modeling for designing wildlife linkages. Ecol Appl 19:2067–2077 · DOI · Paper page
- Braunisch V, Segelbacher G, Hirzel AH (2010) Modelling functional landscape connectivity from genetic population structure: a new spatially explicit approach. Mol Ecol 19:3664–3678 · DOI
- Broquet T, Ray N, Petit E, Fryxell JM, Burel F (2009) Genetic isolation by distance and landscape connectivity in the American marten (Martes americana). Landscape Ecol 21:877–889 · DOI
- Burnham KP, Anderson D (2002) Model selection and multi-model inference (2nd edn). Springer, New York
- Chardon JP, Adriaensen F, Matthysen E (2003) Incorporating landscape elements into a connectivity measure: a case study for the Speckled wood butterfly (Pararge aegeria L.). Landscape Ecol 18:561–573 · DOI
- Chetkiewicz C-LB, Boyce MS (2009) Use of resource selection functions to identify conservation corridors. J Appl Ecol 46:1036–1047 · DOI
- Clark RW, Brown WS, Stechert R, Zamudio KR (2008) Integrating individual behavior and landscape genetics: the population structure of timber rattlesnake hibernacula. Mol Ecol 17:719–730 · DOI
- Clevenger AP, Wierzchowski J, Chruszcz B, Gunson K (2002) GIS-generated, expert-based models for identifying wildlife habitat linkages and planning mitigation passages. Conserv Biol 16:503–514 · DOI
- Compton BW, McGarigal K, Cushman SA, Gamble LR (2007) A resistant-kernel model of connectivity for amphibians that breed in vernal pools. Conserv Biol 21:788–799 · DOI · Paper page
- Coulon A, Cosson JF, Angibault JM, Cargnelutti B, Galan M, Morellet N, Petit E, Aulagnier S, Hewison AJM (2004) Landscape connectivity influences gene flow in a roe deer population inhabiting a fragmented landscape: an individual-based approach. Mol Ecol 13:2841–2850 · DOI
- Cushman SA (2010) Animal movement data: GPS telemetry, autocorrelation and the need for path-level analysis. In: Cushman SA, Huettmann F (eds) Spatial complexity, informatics, and wildlife conservation. Springer, New York, pp 131–149 · DOI · Paper page
- Cushman SA, Landguth EL (2010) Spurious correlations and inference in landscape genetics. Mol Ecol 19:3592–3602 · DOI
- Cushman SA, Lewis JS (2010) Movement behavior explains genetic differentiation in American black bears. Landscape Ecol 25:1613–1625 · DOI
- Cushman SA, McKelvey KS, Hayden J, Schwartz MK (2006) Gene-flow in complex landscapes: testing multiple hypotheses with causal modeling. Am Nat 168:486–499 · DOI · Paper page
- Cushman SA, Gutzweiler K, Evans JS, McGarigal K (2010) The gradient paradigm: a conceptual and analytical framework for landscape ecology. In: Cushman SA, Huettmann F (eds) Spatial complexity, informatics, and wildlife conservation. Springer, New York, pp 83–108 · DOI · Paper page
- Cushman S, McRae B, Adriaensen F, Beier P, Shirley M, Zeller KA (in press) Biological corridors. In: MacDonald D, Willis K (eds) Key topics in conservation biology, vol II. Wiley
- Desrochers A, Bélisle M, Morand-Ferron J (2011) Integrating GIS and homing experiments to study avian movement costs. Landscape Ecol 26:47–58 · DOI
- Emaresi G, Pellet J, Dubey S, Hirzel AH, Fumagalli L (2011) Landscape genetics of the Alpine newt (Mesotriton alpestris) inferred from a strip-based approach. Conserv Genet 12:41–50 · DOI
- Epps CW, Wehausen JD, Bleich VC, Torres SG, Brashares JS (2007) Optimizing dispersal and corridor models using landscape genetics. J Appl Ecol 44:714–724 · DOI
- Epps CW, Mutayoba BM, Gwin L, Brashares JS (2011) An empirical evaluation of the African elephant as a focal species for connectivity planning in East Africa. Divers Distrib 17:603–612 · DOI · Paper page
- Estrada-Peña A (2003) The relationships between habitat topology, critical scales of connectivity and tick abundance Ixodes ricinus in a heterogeneous landscape in northern Spain. Ecography 26:661–671 · DOI
- Ferreras P (2001) Landscape structure and asymmetrical inter-patch connectivity in a metapopulation of the endangered Iberian lynx. Biol Conserv 100:125–136 · DOI
- Flamm RO, Weigle BL, Wright IE, Ross M, Aglietti S (2005) Estimation of manatee (Trichechus manatus latirostris) places and movement corridors using telemetry data. Ecol Appl 15:1415–1426 · DOI
- Foltête JC, Berthier K, Cosson JF (2008) Cost distance defined by a topological function of landscape. Ecol Model 210:104–114 · DOI
- Foody GM (2002) Status of land cover classification accuracy assessment. Remote Sens Environ 80:185–201 · DOI
- Freeman RC, Bell KP (2011) Conservation versus cluster subdivisions and implications for habitat connectivity. Landsc Urban Plan 101:30–42 · DOI
- Graham CH (2001) Factors influencing movement patterns of keel-billed toucans in a fragmented tropical landscape in southern Mexico. Conserv Biol 15:1789–1798 · DOI
- Janin A, Léna JP, Ray N, Delacourt C, Allemand P, Joly P (2009) Assessing landscape connectivity with calibrated cost-distance modelling: predicting common toad distribution in a context of spreading agriculture. J Appl Ecol 46:833–841 · DOI
- Jaquiéry J, Broquet T, Hirzel AH, Yearsley J, Perrin N (2011) Inferring landscape effects on dispersal from genetic distances: how far can we go? Mol Ecol 20:692–705 · DOI
- Johnson CJ, Gillingham MP (2004) Mapping uncertainty: sensitivity of wildlife habitat ratings to expert opinion. J Appl Ecol 41:1032–1041 · DOI
- Kautz R, Kawula R, Hoctor T, Comiskey J, Jansen D, Jennings D, Kasbohm J, Mazzzotti F, McBride R, Richardson L, Root K (2006) How much is enough? Landscape-scale conservation for the Florida panther. Biol Conserv 130:118–133 · DOI · Paper page
- Kindall JL, VanManen FT (2007) Identifying habitat linkages for American black bears in North Carolina, USA. J Wildl Manag 71:487–495 · DOI
- Klug PE, Wisely SM, With KA (2011) Population genetic structure and landscape connectivity of the Eastern Yellowbelly Racer (Coluber constrictor flaviventris) in the contiguous tallgrass prairie of northeastern Kansas, USA. Landscape Ecol 26:281–294 · DOI
- Koscinsky D, Yates AG, Handford P, Lougheed SC (2009) Effects of landscape and history on diversification of a montane, stream-breeding amphibian. J Biogeogr 36:255–265 · DOI
- Kuemmerle T, Perzanowski K, Resit Akcakaya H, Beaudry F, Van Deelen TR, Parnikoza I, Khoyetskyy P, Waller DM, Radeloff VC (2011) Cost-effectiveness of strategies to establish a European bison metapopulation in the Carpathians. J Appl Ecol 48:317–329 · DOI
- Kuroe M, Yamaguchi N, Kadoya T, Miyashita T (2011) Matrix heterogeneity affects population size of the harvest mice: Bayesian estimation of matrix resistance and model validation. Oikos 120:271–279 · DOI
- Laiolo P, Tella JL (2006) Landscape bioacoustics allow detection of the effects of habitat patchiness on population structure. Ecology 87:1203–1214 · DOI
- Landguth EL, Cushman SA, Schwartz MK, McKelvey KS, Murphy M, Luikart G (2010) Quantifying the lag time to detect barriers in landscape genetics. Mol Ecol 19:4179–4191 · DOI
- LaRue MA, Nielsen CK (2008) Modelling potential dispersal corridors for cougars in Midwestern North America using least-cost path methods. Ecol Model 212:372–381 · DOI
- Loveland TR, Reed BC, Brown JF, Ohlen DO, Zhu Z, Yang L, Merchant JW (2000) Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data. Int J Remote Sens 21:1303–1330 · DOI
- Magle SB, Theobald DM, Crooks KR (2009) A comparison of metrics predicting landscape connectivity for a highly interactive species along an urban gradient in Colorado, USA. Landscape Ecol 24:267–280 · DOI
- Manel S, Schwartz MK, Luikart G, Taberlet P (2003) Landscape genetics: combining landscape ecology and population genetics. Trends Ecol Evol 18:189–197 · DOI · Paper page
- Manly BFJ, McDonald LL, Thomas DL, McDonald TL, Erickson WP (2010) Resource selection by animals: statistical design and analysis for field studies, 2nd edn. Kluwer, Amsterdam
- McGarigal K, Cushman SA (2005) The gradient concept of landscape structure. In: Wiens J, Moss M (eds) Issues and perspectives in landscape ecology. Cambridge University Press, Cambridge, pp 112–119 · DOI
- McRae BH, Beier P (2007) Circuit theory predicts gene flow in plant and animal populations. Proc Nat Acad Sci 104:19885–19890 · DOI · Paper page
- Michels E, Cottenie K, Neys L, DeGelas K, Coppin P, DeMeester L (2001) Geographical and genetic distances among zooplankton populations in a set of interconnected ponds: a plea for using GIS modelling of the effective geographical distance. Mol Ecol 10:1929–1938 · DOI
- Murphy MA, Dezzani R, Pilliod DS, Storfer A (2010) Landscape genetics of high mountain frog metapopulations. Mol Ecol 19:3634–3649 · DOI
- Newby JR (2011) Puma dispersal ecology in the central Rocky Mountains. Master’s thesis, University of Montana, Missoula, MT, pp 1–111
- Nichol JE, Wong MS, Corlett R, Nichol DW (2010) Assessing avian habitat fragmentation in urban areas of Hong Kong (Kowloon) at high spatial resolution using spectral unmixing. Landsc Urban Plan 95:54–60 · DOI
- O’Brien D, Manseau M, Fall A, Fortin MJ (2006) Testing the importance of spatial configuration of winter habitat for woodland caribou: an application of graph theory. Biol Conserv 130:70–83 · DOI
- Pearce JL, Cherry K, Drielsma M, Ferrier S, Whish G (2001) Incorporating expert opinion and fine-scale vegetation mapping into statistical models of faunal distribution. J Appl Ecol 38:412–424 · DOI
- Pinto N, Keitt TH (2009) Beyond the least-cost path: evaluating corridor redundancy using a graph-theoretic approach. Landscape Ecol 24:253–266 · DOI · Paper page
- Pullinger MG, Johnson CJ (2010) Maintaining or restoring connectivity of modified landscapes: evaluating the least-cost path model with multiple sources of ecological information. Landscape Ecol 25:1547–1560 · DOI
- Rabinowitz A, Zeller KA (2010) A range-wide model of landscape connectivity and conservation for the jaguar, Panthera onca. Biol Conserv 143:939–945 · DOI
- Rae C, Rothley K, Dragicevic S (2007) Implications of error and uncertainty for an environmental planning scenario: a sensitivity analysis of GIS-based variables in reserve design. Landsc Urban Plan 79:210–217 · DOI
- Rayfield B, Fortin MJ, Fall A (2010) The sensitivity of least-cost habitat graphs to relative cost surface values. Landscape Ecol 25:519–532 · DOI · Paper page
- Richard Y, Armstrong DP (2010) Cost distance modelling of landscape connectivity and gap-crossing ability using radio-tracking data. J Appl Ecol 47:603–610 · DOI
- Ricketts TH (2001) The matrix matters: effective isolation in fragmented landscapes. Am Nat 158:87–99 · DOI
- Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York
- Savage WK, Fremier AK, Shaffer HB (2010) Landscape genetics of alpine Sierra Nevada salamanders reveal extreme population subdivision in space and time. Mol Ecol 19:3301–3314 · DOI
- Sawyer SC, Epps CW, Brashares JS (2011) Placing linkages among fragmented habitats: do least-cost models reflect how animals use landscapes? J Appl Ecol 48:668–678 · DOI
- Schwartz MK, Copeland JP, Anderson NJ, Squires JR, Inman RM, McKelvey KS, Pilgrim KL, Waits LP, Cushman SA (2009) Wolverine gene flow across a narrow climatic niche. Ecology 90:3222–3232 · DOI · Paper page
- Seoane J, Bustamente J, Diaz-Delgado R (2005) Effect of expert opinion on the predictive ability of environmental models of bird distribution. Conserv Biol 19:512–522 · DOI
- Shirk AJ, Wallin DO, Cushman SA, Rica CG, Warheit KI (2010) Inferring landscape effects on gene flow: a new model selection framework. Mol Ecol 19:3603–3619 · DOI · Paper page
- Short Bull RA, Cushman SA, Mace R, Chilton T, Kendall KC, Landguth EL, Schwartz MK, McKelvey K, Allendorf FW, Luikart G (2011) Why replication is so important in landscape genetics: American black bear in the Rocky Mountains. Mol Ecol 20:1092–1107 · DOI
- Singleton PH, Gaines WL, Lehmkuhl JF (2002) Landscape permeability for large carnivores in Washington: a geographic information system weighted-distance and least-cost corridor assessment. Research Paper PNW-RP-549. U.S. Forest Service Pacific Northwest Research Station, Portland, OR · DOI
- Spear SF, Balkenhol N, Fortin MJ, McRae BH, Scribner K (2010) Use of resistance surfaces for landscape genetic studies: considerations for parameterization and analysis. Mol Ecol 19:3576–3591 · DOI · Paper page
- Stevens VM, Verkenne C, Vandewoestijne S, Wesselingh RA, Baguette M (2006) Gene flow and functional connectivity in the natterjack toad. Mol Ecol 15:2333–2344 · DOI
- Sutcliffe OL, Bakkestuen V, Fry G, Stabbetorp OE (2003) Modelling the benefits of farmland restoration: methodology and application to butterfly movement. Landsc Urban Plan 63:15–31 · DOI
- Thompson CM, McGarigal K (2002) The influence of research scale on bald eagle habitat selection along the lower Hudson River, New York. Landscape Ecol 17:569–586 · DOI
- Vignieri SN (2005) Streams over mountains: influence of riparian connectivity on gene flow in the Pacific jumping mouse (Zapus trinotatus). Mol Ecol 14:1925–1937 · DOI
- Wang YH, Yang KC, Bridgman CL, Lin LK (2008) Habitat suitability modelling to correlate gene flow with landscape connectivity. Landscape Ecol 23:989–1000
- Wang IJ, Savage WK, Shaffer B (2009) Landscape genetics and least-cost path analysis reveal unexpected dispersal routes in the California tiger salamander (Ambystoma californiense). Mol Ecol 18:1365–1374 · DOI
- Wasserman TN, Cushman SA, Schwartz MK, Wallin DO (2010) Spatial scaling and multi-model inference in landscape genetics: Martes Americana in northern Idaho. Landscape Ecol 25:1601–1612 · DOI
- Watts K, Eycott AE, Handley P, Ray D, Humphrey JW, Quine CP (2010) Targeting and evaluating biodiversity conservation action within fragmented landscapes: an approach based on generic focal species and least-cost networks. Landscape Ecol 25:1305–1318 · DOI
- Wiens JA (1989) Spatial scaling in ecology. Funct Ecol 3:385–397 · DOI · Paper page
- Worton BJ (1995) A convex hull-based estimator of home-range size. Biometrics 51:1206–1215 · DOI
- Zimmermann F, Breitenmoser U (2007) Potential distribution and population size of the Eurasian lynx Lynx lynx in the Jura Mountains and possible corridors to adjacent ranges. Wildl Biol 13:406–416 · 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
Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions
(2020) · JuliaCon Proceedings · doi:10.21105/jcon.00058 · Cited by 163
Cross-species pathogen spillover across ecosystem boundaries: mechanisms and theory
Borremans, B., Faust, C., Manlove, K. R., Sokolow, S. H., & Lloyd-Smith, J. O. (2019) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2018.0344 · Cited by 154
Circuitscape in julia: empowering dynamic approaches to connectivity assessment
Hall, K. R., Anantharaman, R., Landau, V. A., Clark, M., Dickson, B. G., Jones, A., Platt, J., Edelman, A., & Shah, V. B. (2021) · Land · doi:10.3390/land10030301 · Cited by 115
Connectivity modelling in conservation science: a comparative evaluation
Unnithan Kumar, S., & Cushman, S. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-20370-w · Cited by 83
Howey, M. C. L. (2015) · Journal of Archaeological Science · doi:10.1016/j.jas.2015.10.007 · Cited by 12
Yu, Y.-X., Guo, L.-X., & Watanabe, N. (2026) · Journal of Archaeological Science · doi:10.1016/j.jas.2026.106527 · Cited by 1
Metadata
- Authors
- Zeller, K. A., McGarigal, K., & Whiteley, A. R.
- Venue
- Landscape Ecology
- Published
- 2012-04-11
- Volume
- 27
- Issue
- 6
- Pages
- 777-797
- ISSN
- 0921-2973
- 1572-9761
- Cited by
- 1,007
- References
- 3
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review