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Connecting models to movements: testing connectivity model predictions against empirical migration and dispersal data

McClure, Meredith L., Hansen, Andrew J., Inman, Robert M.·2016·Landscape Ecology
DOI 10.1007/s10980-016-0347-0
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Crossref · 10.1007/s10980-016-0347-0

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4 of 4 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

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  • Circuit theory and least-cost path models have been shown to perform comparably in predicting seasonal ungulate migration routes.

    “For example, circuit theory and least-cost path models have been shown to perform comparably in predicting seasonal ungulate migration routes (Poor et al. 2012; McClure et al. 2016).”

    From Circuit‐theory applications to connectivity science and conservation (2019) · cites this paper as McClure et al. 2016

  • Circuit theory is particularly appropriate when the assumption of moving individuals having limited knowledge of the surrounding landscape is met.

    “Circuit theory is particularly appropriate when the assumption of moving individuals having limited knowledge of the surrounding landscape is met (McClure et al. 2016; Keeley et al. 2017; Maiorano et al. 2017).”

    From Circuit‐theory applications to connectivity science and conservation (2019) · cites this paper as McClure et al. 2016

Citations

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Metadata

Authors
McClure, M. L., Hansen, A. J., & Inman, R. M.
ORCID
McClure, Meredith L.
Venue
Landscape Ecology
Publisher
Springer Science and Business Media LLC
Published
2016-02-22
Volume
31
Issue
7
Pages
1419-1432
ISSN
  • 0921-2973
  • 1572-9761
DOI
10.1007/s10980-016-0347-0
Cited by
166
References
4
Language
en
Licence
www.springer.com/tdm (tdm)
Funders
Montana Space Grant Consortium (US) (Graduate Student Fellowship)

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