Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Journal of Wildlife ...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Journal of Wildlife Management
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Journal of Wildlife Management
Article
License: CC BY
Data sources: UnpayWall
versions View all 1 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Abundance and ecological associations of small mammals

Authors: Matthew J. Weldy; Clinton W. Epps; Mark A. Linnell; Tom Manning; Eric D. Forsman; Damon B. Lesmeister;

Abundance and ecological associations of small mammals

Abstract

ABSTRACTEffective conservation and management of small mammals require knowledge of the population dynamics of co‐occurring species. We estimated the abundances, autocorrelations, and spatiotemporal associations of 4 small‐mammal species from 2011–2016 using live‐trapping mark‐recapture methods on 9 sites across elevation and canopy openness gradients of a late‐successional forest in the H. J. Andrews Experimental Forest, on the west slope of the Oregon Cascades. We also quantified species‐specific spatial variation in adult sex ratios and body mass. We used Huggins closed capture models to estimate site‐ and year‐specific abundances of 4 target species: Humboldt's flying squirrels (Glaucomys oregonensis), Townsend's chipmunks (Neotamias townsendii), western red‐backed voles (Myodes californicus), and deer mice (Peromyscus maniculatus). We estimated the temporal autocorrelations among site‐ and species‐specific abundance estimates and used generalized linear mixed effects models to investigate the effects of 7 spatiotemporal covariates on species‐specific mean abundance estimates. Species‐specific adult sex ratios, juvenile to adult ratios, and adult body masses were not widely variable among study sites. Abundance estimates varied by as much as 4‐fold among years and 6‐fold among sites. Humboldt's flying squirrel abundance was temporally autocorrelated at intervals of 1 and 5 years, Townsend's chipmunk abundance was temporally autocorrelated at intervals of 1–4 years, and western red‐backed vole abundance was temporally autocorrelated at 1, 4, and 5 years. Mean fall abundance estimates were associated with elevation and climate and in some cases, canopy openness and berry‐producing shrubs, but the direction of the association differed among species for some covariates. Our findings could provide additional management tools for small‐mammal abundance objectives, and highlight the importance of careful covariate selection in studies using indices of small‐mammal abundance. © 2019 The Authors. Journal of Wildlife Management Published by Wiley Periodicals, Inc. on behalf of The Wildlife Society.

Related Organizations
  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    21
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Average
Top 10%
hybrid