KawaguchiDesrochers2017

Reference

Kawaguchi, T., Desrochers, A. (2017) Short-term changes in spatial distribution pattern of an herbivore in response to accumulating snow. Canadian Journal of Zoology, 95(12):949-954. (Scopus )

Abstract

Deep snow can reduce accessibility to vegetation and cover by herbivores by blanketing understory cover, yet simultaneously increase access to foliage at higher levels. Thus, snow depth fluctuation should lead to spatiotemporal variation in herbivore habitat use. We measured shifts in habitat use by snowshoe hare (Lepus americanus Erxleben, 1777) as a function of snow depth in an eastern Canadian boreal forest where snow depth often exceeds 1 m. We hypothesized that as snow accumulates, snowshoe hares shift from locations with dense vegetation just above ground to locations with dense vegetation higher above ground. We surveyed 58 km of transects over three winters and found 1954 hare tracks. We analyzed track counts as a response to a density index of low vegetation (0–1.5mabove ground), high vegetation (2–4mabove ground), predator tracks, and snow depth. We found more hare tracks in sites with dense high vegetation when snow was deeper, and more hare tracks in sites with dense low vegetation when snow was shallower. Predator track presence did not influence responses to snow depth. Snow depth dynamics can drive hare distribution, and in turn, introduce uncertainty in spatial distribution models for the species and possibly its interactions with predators. © 2017, Canadian Science Publishing. All rights reserved.

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@ARTICLE { KawaguchiDesrochers2017,
    AUTHOR = { Kawaguchi, T. and Desrochers, A. },
    TITLE = { Short-term changes in spatial distribution pattern of an herbivore in response to accumulating snow },
    JOURNAL = { Canadian Journal of Zoology },
    YEAR = { 2017 },
    VOLUME = { 95 },
    NUMBER = { 12 },
    PAGES = { 949-954 },
    NOTE = { cited By 0 },
    ABSTRACT = { Deep snow can reduce accessibility to vegetation and cover by herbivores by blanketing understory cover, yet simultaneously increase access to foliage at higher levels. Thus, snow depth fluctuation should lead to spatiotemporal variation in herbivore habitat use. We measured shifts in habitat use by snowshoe hare (Lepus americanus Erxleben, 1777) as a function of snow depth in an eastern Canadian boreal forest where snow depth often exceeds 1 m. We hypothesized that as snow accumulates, snowshoe hares shift from locations with dense vegetation just above ground to locations with dense vegetation higher above ground. We surveyed 58 km of transects over three winters and found 1954 hare tracks. We analyzed track counts as a response to a density index of low vegetation (0–1.5mabove ground), high vegetation (2–4mabove ground), predator tracks, and snow depth. We found more hare tracks in sites with dense high vegetation when snow was deeper, and more hare tracks in sites with dense low vegetation when snow was shallower. Predator track presence did not influence responses to snow depth. Snow depth dynamics can drive hare distribution, and in turn, introduce uncertainty in spatial distribution models for the species and possibly its interactions with predators. © 2017, Canadian Science Publishing. All rights reserved. },
    AFFILIATION = { Centre d'étude de la forêt, Université Laval, 2405, rue de la Terrasse, Québec, QC, Canada },
    AUTHOR_KEYWORDS = { Climate change; Forest structure; Habitat use; Lepus americanus; LiDAR; Snow depth; Snowshoe hare; Spatial distribution; Understory cover },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1139/cjz-2016-0287 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038093515&doi=10.1139%2fcjz-2016-0287&partnerID=40&md5=1227b1f30b912a911657707924f6d70e },
}

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