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      Flexible resource use strategies of a central-place forager experiencing dynamic risk and opportunity

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          Abstract

          Background

          Movement decisions made in space and time define how wildlife meet competing extrinsic and intrinsic demands to maximize fitness. Differential selection of resource patches provides one example of how to measure how animals balance conflicting demands. We hypothesized that individual spatial selection of patch types between dynamic seasons would signify flexible strategies used to minimize risk and optimize foraging efforts.

          Methods

          We used data collected from GPS loggers on golden-mantled ground squirrels ( Callospermophilus lateralis) to model selection or avoidance of resources in two seasons of seed availability and one season in which no seeds were available. Movement decisions were measured in short-term discrete time intervals using high resolution location data. Selection or avoidance of specific resource features that entail fitness consequences were then assessed using resource selection functions.

          Results

          Seasonality of food availability, food type, and spatial distribution of food largely influenced how individuals selected resources within their home ranges. Overall, when seeds were available, individuals mediated risks of predation and loss of food by using patches closer to refuge and selected intermediate distances to the burrow. When food was not available, individuals minimized exposure to heightened risk by staying close to the burrow and avoiding riskier patch types.

          Conclusions

          Results indicate that individuals used flexible, dynamic strategies to select habitat patches which may allow them to balance conflicting seasonal demands. Advances in GPS technology for research of small mammals provide greater insight into how prey species in high risk environments differentially use resources to minimize risk and maintain fitness.

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          Most cited references59

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          Uninformative Parameters and Model Selection Using Akaike's Information Criterion

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            Application of random effects to the study of resource selection by animals.

            1. Resource selection estimated by logistic regression is used increasingly in studies to identify critical resources for animal populations and to predict species occurrence. 2. Most frequently, individual animals are monitored and pooled to estimate population-level effects without regard to group or individual-level variation. Pooling assumes that both observations and their errors are independent, and resource selection is constant given individual variation in resource availability. 3. Although researchers have identified ways to minimize autocorrelation, variation between individuals caused by differences in selection or available resources, including functional responses in resource selection, have not been well addressed. 4. Here we review random-effects models and their application to resource selection modelling to overcome these common limitations. We present a simple case study of an analysis of resource selection by grizzly bears in the foothills of the Canadian Rocky Mountains with and without random effects. 5. Both categorical and continuous variables in the grizzly bear model differed in interpretation, both in statistical significance and coefficient sign, depending on how a random effect was included. We used a simulation approach to clarify the application of random effects under three common situations for telemetry studies: (a) discrepancies in sample sizes among individuals; (b) differences among individuals in selection where availability is constant; and (c) differences in availability with and without a functional response in resource selection. 6. We found that random intercepts accounted for unbalanced sample designs, and models with random intercepts and coefficients improved model fit given the variation in selection among individuals and functional responses in selection. Our empirical example and simulations demonstrate how including random effects in resource selection models can aid interpretation and address difficult assumptions limiting their generality. This approach will allow researchers to appropriately estimate marginal (population) and conditional (individual) responses, and account for complex grouping, unbalanced sample designs and autocorrelation.
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              The Guild Concept and the Structure of Ecological Communities

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                Author and article information

                Contributors
                (715) 563-3218 , klhefty@email.arizona.edu
                kstewart@cabnr.unr.edu
                Journal
                Mov Ecol
                Mov Ecol
                Movement Ecology
                BioMed Central (London )
                2051-3933
                2 August 2019
                2 August 2019
                2019
                : 7
                : 23
                Affiliations
                [1 ]ISNI 0000 0004 1936 914X, GRID grid.266818.3, Department of Biology, , University of Nevada, ; 1664 N. Virginia St. Reno, Reno, NV 89557 USA
                [2 ]ISNI 0000 0001 2168 186X, GRID grid.134563.6, Department of Natural Resources and the Environment, , University of Arizona, ; 1064 East Lowell Street, Tucson, AZ 85719 USA
                [3 ]ISNI 0000 0004 1936 914X, GRID grid.266818.3, Department of Natural Resources and Environmental Science, , University of Nevada, ; Reno, 1664 N. Virginia St. Mail Stop 186, Reno, NV 89557 USA
                Author information
                http://orcid.org/0000-0002-6598-1212
                Article
                168
                10.1186/s40462-019-0168-2
                6676571
                30693085
                1759c70c-006a-4b4a-b98b-d12de7f7403e
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 2 January 2019
                : 17 June 2019
                Funding
                Funded by: Whittell Fellowship
                Award ID: none associated
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                resource selection,trade-offs,movement behavior,small mammal,gps,high-resolution

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