Landscape connectivity for wildlife: development and validation of multispecies linkage maps
Open accessAbstract
The ability to identify regions of high functional connectivity for multiple wildlife species is of conservation interest with respect to habitat management and corridor planning. We present a method that does not require independent, field-collected data, is insensitive to the placement of source and destination sites (nodes) for modeling connectivity, and does not require the selection of a focal species. In the first step of our approach, we created a cost surface that represented permeability of the landscape to movement for a suite of species. We randomly selected nodes around the perimeter of the buffered study area and used circuit theory to connect pairs of nodes. When the buffer was removed, the resulting current density map represented, for each grid cell, the probability of use by moving animals. We found that using nodes that were randomly located around the perimeter of the buffered study area was less biased by node placement than randomly selecting nodes within the study area. We also found that a buffer of ≥ 20% of the study area width was sufficient to remove the effects of node placement on current density. We tested our method by creating a map of connectivity in the Algonquin to Adirondack region in eastern North America, and we validated the map with independently collected data. We found that amphibians and reptiles were more likely to cross roads in areas of high current density, and fishers (Pekania [Martes] pennanti) used areas with high current density within their home ranges. Our approach provides an efficient and cost effective method of predicting areas with relatively high landscape connectivity for multiple species..
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,588 · see citing works
A Simple Sequentially Rejective Multiple Test Procedure
(1979) · Scandinavian Journal of Statistics · doi:10.2307/4615733 · Cited by 21,526 · see citing works
Density Estimation for Statistics and Data Analysis
(1986) · Springer eBooks · doi:10.1007/978-1-4899-3324-9 · Cited by 8,478 · see citing works
Kernel Methods for Estimating the Utilization Distribution in Home‐Range Studies
Worton, B. J. (1989) · Ecology · doi:10.2307/1938423 · Cited by 4,185 · see citing works
Inbreeding effects in wild populations
Keller, L. F. (2002) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(02)02489-8 · Cited by 3,297 · see citing works
Connectivity is a vital element of landscape structure
Taylor, P. D., Fahrig, L., Henein, K., & Merriam, G. (1993) · Oikos · doi:10.2307/3544927 · Cited by 2,568 · see citing works
Completion of the 2006 National Land Cover Database for the conterminous United States.
Fry, J. A., Xian, G., Jin, S., Dewitz, J. A., Homer, C. G., Yang, L., Barnes, C. A., Herold, N. D., & Wickham, J. (2011) · Photogrammetric Engineering & Remote Sensing · Cited by 2,448 · see citing works
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 2,215 · see citing works
Random Walks and Electric Networks
Doyle, P. G., & Snell, J. L. (1984) · The Carus mathematical monographs · doi:10.5948/upo9781614440222 · Cited by 1,800 · see citing works
On the usage and measurement of landscape connectivity
Tischendorf, L., & Fahrig, L. (2000) · Oikos · doi:10.1034/j.1600-0706.2000.900102.x · Cited by 1,249 · see citing works
Do Habitat Corridors Provide Connectivity?
Beier, P., & Noss, R. F. (1998) · Conservation Biology · doi:10.1111/j.1523-1739.1998.98036.x · Cited by 1,154 · see citing works
Circuit theory predicts gene flow in plant and animal populations
McRae, B. H., & Beier, P. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706568104 · Cited by 1,116 · see citing works
Saura, S., & Torné, J. (2008) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2008.05.005 · Cited by 847 · see citing works
Realistic levels of inbreeding depression strongly affect extinction risk in wild populations
O’Grady, J. J., Brook, B. W., Reed, D. H., Ballou, J. D., Tonkyn, D. W., & Frankham, R. (2006) · Biological Conservation · doi:10.1016/j.biocon.2006.05.016 · Cited by 686 · see citing works
Corridors affect plants, animals, and their interactions in fragmented landscapes
Tewksbury, J. J., Levey, D. J., Haddad, N. M., Sargent, S., Orrock, J. L., Weldon, A. J., Danielson, B. J., Brinkerhoff, J., Damschen, E. I., & Townsend, P. A. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.202242699 · Cited by 633 · see citing works
Forks in the Road: Choices in Procedures for Designing Wildland Linkages
Beier, P., Majka, D. R., & Spencer, W. D. (2008) · Conservation Biology · doi:10.1111/j.1523-1739.2008.00942.x · Cited by 596 · see citing works
Biological Corridors: Form, Function, and Efficacy
Rosenberg, D. K., Noon, B. R., & Meslow, E. C. (1997) · BioScience · doi:10.2307/1313208 · Cited by 544 · see citing works
A range-wide model of landscape connectivity and conservation for the jaguar, Panthera onca
Rabinowitz, A. R., & Zeller, K. A. (2010) · Biological Conservation · doi:10.1016/j.biocon.2010.01.002 · Cited by 408 · see citing works
Population connectivity: recent advances and new perspectives
Kool, J., Moilanen, A., & Treml, E. A. (2012) · Landscape Ecology · doi:10.1007/s10980-012-9819-z · Cited by 370 · see citing works
Determining Minimum Habitat Areas and Habitat Corridors for Cougars
Beier, P. (1993) · Conservation Biology · doi:10.1046/j.1523-1739.1993.07010094.x · Cited by 340 · see citing works
A Resistant‐Kernel Model of Connectivity for Amphibians that Breed in Vernal Pools
Compton, B. W., McGarigal, K., Cushman, S. A., & Gamble, L. R. (2007) · Conservation Biology · doi:10.1111/j.1523-1739.2007.00674.x · Cited by 338 · see citing works
Proceedings of the 7th Python in Science Conference
(2008) · Proceedings of the Python in Science Conferences · doi:10.25080/pfvc8793 · Cited by 286 · see citing works
Use of Empirically Derived Source‐Destination Models to Map Regional Conservation Corridors
Cushman, S. A., McKelvey, K. S., & Schwartz, M. K. (2008) · Conservation Biology · doi:10.1111/j.1523-1739.2008.01111.x · Cited by 263 · see citing works
Animal behavior, cost-based corridor models, and real corridors
LaPoint, S. D., Gallery, P., Wikelski, M. C., et al. (2013) · Landscape Ecology · doi:10.1007/s10980-013-9910-0 · Cited by 235 · see citing works
Wolverine gene flow across a narrow climatic niche
Schwartz, M. K., Copeland, J. P., Anderson, N. J., Squires, J. R., Inman, R. M., McKelvey, K. S., Pilgrim, K. L., Waits, L. P., & Cushman, S. A. (2009) · Ecology · doi:10.1890/08-1287.1 · Cited by 225 · see citing works
How does landscape structure influence landscape connectivity?
Goodwin, B. J., & Fahrig, L. (2002) · Oikos · doi:10.1034/j.1600-0706.2002.11824.x · Cited by 224 · see citing works
UNICOR: a species connectivity and corridor network simulator
Landguth, E. L., Hand, B. K., Glassy, J. M., Cushman, S. A., & Sawaya, M. A. (2011) · Ecography · doi:10.1111/j.1600-0587.2011.07149.x · Cited by 187 · see citing works
Uncertainty analysis of least‐cost modeling for designing wildlife linkages
Beier, P., Majka, D. R., & Newell, S. L. (2009) · Ecological Applications · doi:10.1890/08-1898.1 · Cited by 187 · see citing works
Predicting Hot Spots of Herpetofauna Road Mortality Along Highway Networks
Langen, T. A., OGDEN, K. M., & Schwarting, L. (2009) · Journal of Wildlife Management · doi:10.2193/2008-017 · Cited by 168 · see citing works
Governance for Resilience: CALFED as a Complex Adaptive Network for Resource Management
Booher, D. E., & Innes, J. E. (2010) · Ecology and Society · doi:10.5751/es-03404-150335 · Cited by 155 · see citing works
Pelletier, D., Clark, M. M., Anderson, M. G., Rayfield, B., Wulder, M. A., & Cardille, J. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0084135 · Cited by 153 · see citing works
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 142 · see citing works
Self-citationMulti-taxa population connectivity in the Northern Rocky Mountains
Cushman, S. A., & Landguth, E. L. (2012) · Ecological Modelling · doi:10.1016/j.ecolmodel.2012.02.011 · Cited by 128 · see citing works
Evaluating population connectivity for species of conservation concern in the American Great Plains
Cushman, S. A., Landguth, E. L., & Flather, C. H. (2013) · Biodiversity and Conservation · doi:10.1007/s10531-013-0541-1 · Cited by 121 · see citing works
The effect of cost surface parameterization on landscape resistance estimates
Koen, E. L., Bowman, J., & Walpole, A. A. (2012) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2012.03123.x · Cited by 109 · see citing works
Self-citationFunctional connectivity of lynx at their southern range periphery in Ontario, Canada
Walpole, A. A., Bowman, J., Murray, D. L., & Wilson, P. J. (2012) · Landscape Ecology · doi:10.1007/s10980-012-9728-1 · Cited by 107 · see citing works
Self-citationWalter, W. D., VerCauteren, K. C., Campa, H., Clark, W. R., Fischer, J. W., Hygnstrom, S. E., Mathews, N. E., Nielsen, C. K., Schauber, E. M., Deelen, T. R. V., et al. (2009) · Landscape Ecology · doi:10.1007/s10980-009-9374-4 · Cited by 99 · see citing works
Beier, P., Penrod, K. L., Luke, C., Spencer, W. D., & Cabañero, C. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511754821.025 · Cited by 84 · see citing works
Do well-connected landscapes promote road-related mortality?
Grilo, C., Ascensão, F., Santos‐Reis, M., & Bissonette, J. A. (2010) · European Journal of Wildlife Research · doi:10.1007/s10344-010-0478-6 · Cited by 83 · see citing works
Large Gaps in Canopy Reduce Road Crossing by a Gliding Mammal
van der Ree, R., Cesarini, S., Sunnucks, P., Moore, J. L., & Taylor, A. C. (2010) · Ecology and Society · doi:10.5751/es-03759-150435 · Cited by 78 · see citing works
Wilson, R., Marsh, H., & Winter, J. W. (2007) · Wildlife Research · doi:10.1071/wr06114 · Cited by 71 · see citing works
Linking habitats for multiple species
Brás, R., Cerdeira, J. O., Alagador, D., & Araújo, M. B. (2012) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2012.08.001 · Cited by 35 · see citing works
Woodland networks in a changing climate: Threats from land use change
Gimona, A., Poggio, L., Brown, I. M., & Castellazzi, M. (2012) · Biological Conservation · doi:10.1016/j.biocon.2012.01.060 · Cited by 32 · see citing works
Home Range and Population Density of Fishers in Eastern Ontario
Koen, E. L., Bowman, J., Findlay, C. S., & Zheng, L. (2007) · Journal of Wildlife Management · doi:10.2193/2006-133 · Cited by 30 · see citing works
Self-citationFunConn v1 User's Manual: ArcGIS tools for Functional Connectivity Modeling
Theobald, D. M., Norman, J., & Sherburne, M. R. (2006) · Cited by 25 · see citing works
A criticism of connectivity in ecology and an alternative modelling approach: Flow connectivity
Ferrarini, A. (2013) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 11 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Carroll C., 2013, Connectivity Analysis Toolkit Manual, version 1.3
Cited by
Sorted by citations
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 · see citing works
A multidirectional model for studying mobility affordance of past landscapes
Kohut, L. E. (2018) · Journal of Archaeological Science: Reports · doi:10.1016/j.jasrep.2018.02.031 · Cited by 12 · see citing works
Kelly, D. R., Clark, M. M., Palace, M., & Howey, M. C. L. (2023) · Journal of Archaeological Science · doi:10.1016/j.jas.2022.105710 · Cited by 9 · see citing works
- Authors
- Koen, E. L., Bowman, J., Sadowski, C., & Walpole, A. A.
- Affiliations
- Trent University (CA)
- Ministry of Natural Resources and Forestry (CA)
- Corresponding author
- Koen, Erin L.
- Venue
- Methods in Ecology and Evolution
- Publisher
- Wiley
- Published
- 2014-05-10
- Volume
- 5
- Issue
- 7
- Pages
- 626-633
- ISSN
- 2041-210X (ISSN-L)
- OpenAlex
- W1980344423
- Semantic Scholar
- 239d32c7b333b2ff5afb2f3835c7ea2e3818c2ec
- Cited by
- 293
- References
- 46
- Citations by year
- 2026: 35 · 2025: 30 · 2024: 39 · 2023: 39 · 2022: 31 · 2021: 30 · 2020: 29 · 2019: 16 · 2018: 10 · 2017: 18 · 2016: 8 · 2015: 7 · 2014: 1
- FWCI
- 9.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Methods in Ecology and Evolution (publishedVersion)
- Funders
- Ministry of Natural Resources
- Topics
- Physical Sciences › Environmental Science › Ecology › Wildlife-Road Interactions and Conservation
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Keywords
- landscape connectivity, circuit theory, current density, cost surface, habitat permeability, ecological corridors, amphibians and reptiles, road crossing, fishermen, Pekania pennanti, habitat management
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