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dc.contributor.author Koen, Erin L.
dc.contributor.author Bowman, Jeff
dc.contributor.author Walpole, Aaron A.
dc.coverage.spatial Ontario
dc.coverage.spatial Canada
dc.date.accessioned 2012-01-20T16:00:31Z
dc.date.available 2012-01-20T16:00:31Z
dc.date.issued 2012-02-22
dc.identifier doi:10.5061/dryad.6b678210
dc.identifier.citation Koen EL, Bowman J, Walpole AA (2012) The effect of cost surface parameterization on landscape resistance estimates. Molecular Ecology Resources 12(4): 686-696.
dc.identifier.uri http://hdl.handle.net/10255/dryad.37386
dc.description A cost or resistance surface is a representation of a landscape’s permeability to animal movement or gene flow and is a tool for measuring functional connectivity in landscape ecology and genetics studies. Parameterizing cost surfaces by assigning weights to different landscape elements has been challenging however, because true costs are rarely known; thus, expert opinion is often used to derive relative weights. Assigning weights would be made easier if the sensitivity of different landscape resistance estimates to relative costs was known. We carried out a sensitivity analysis of three methods to parameterize a cost surface and two models of landscape permeability: least cost path and effective resistance. We found two qualitatively different responses to varying cost weights: linear and asymptotic changes. The most sensitive models (i.e. those leading to linear change) were accumulated least cost and effective resistance estimates on a surface coded as resistance (i.e. where high-quality elements were held constant at a low-value, and low-quality elements were varied at higher values). All other cost surface scenarios led to asymptotic change. Developing a cost surface that produces a linear response of landscape resistance estimates to cost weight variation will improve the accuracy of functional connectivity estimates, especially when cost weights are selected through statistical model fitting procedures. On the other hand, for studies where cost weights are unknown and model selection is not being used, methods where resistance estimates vary asymptotically with cost weights may be more appropriate, because of their relative insensitivity to parameterization.
dc.relation.haspart doi:10.5061/dryad.6b678210/1
dc.relation.haspart doi:10.5061/dryad.6b678210/2
dc.relation.haspart doi:10.5061/dryad.6b678210/3
dc.relation.haspart doi:10.5061/dryad.6b678210/4
dc.relation.isreferencedby doi:10.1111/j.1755-0998.2012.03123.x
dc.relation.isreferencedby PMID:22353473
dc.subject Conservation Genetics
dc.subject Ecological Genetics
dc.subject Wildlife Management
dc.subject Conservation Biology
dc.subject Habitat Degradation
dc.title Data from: The effect of cost surface parameterization on landscape resistance estimates
dc.type Article
dc.contributor.correspondingAuthor Koen, Erin L.
prism.publicationName Molecular Ecology Resources
dryad.dansTransferDate 2018-04-12T19:32:10.530+0000
dryad.dansEditIRI https://easy.dans.knaw.nl/sword2/container/184b9b74-0ffb-455a-bdb2-09b1f86464f8
dryad.dansArchiveDate 2018-04-15T23:38:30.370+0000

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Title Forested landscape - conductance grid
Downloaded 66 times
Description Ascii file representing costs to movement for the forested landscape. Values are conductances, where high values represent low cost (high conductance). In Canada Lambert Conformal Conic projection.
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Title Settled landscape - conductance grid
Downloaded 52 times
Description Ascii file representing costs to movement for the settled landscape. Values are conductances, where high values represent low cost (high conductance). In Canada Lambert Conformal Conic projection.
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Title forested_landscape_30pts
Downloaded 37 times
Description coordinates of the 30 random points for the forested landscape, in North America Lambert Conformal Conic projection
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Title settled_landscape_30pts
Downloaded 32 times
Description coordinates of the 30 points for the settled landscape, in North America Lambert Conformal Conic projection
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