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Extreme value-based methods for modeling elk movements

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Dhanushi A. Wijeyakulasuriya, Ephraim M. Hanks, Benjamin A. Shaby, and Paul C. Cross, 2018, Extreme value-based methods for modeling elk movements: Journal of Agricultural, Biological, and Environmental Statistics.

Summary

Species range shifts and the spread of diseases are both likely to be driven by extreme movements, but are difficult to statistically model due to their rarity. We propose a statistical approach for characterizing movement kernels that incorporate landscape covariates as well as the potential for heavy-tailed distributions. We used a spliced distribution for distance travelled paired with a resource selection function to model movements biased toward preferred habitats. As an example, we used data from 704 annual elk movements around the Greater Yellowstone Ecosystem from 2001 to 2015. Yearly elk movements were both heavy-tailed and biased away from high elevations during the winter months. We then used a simulation to illustrate how [...]

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Type Scheme Key
local-index unknown 70201074
local-pk unknown 70201074
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.1007/s13253-018-00342-2
series unknown Journal of Agricultural, Biological, and Environmental Statistics

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citationTypeArticle
editionOnline First
journalJournal of Agricultural, Biological, and Environmental Statistics
languageEnglish

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