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      The benefits of being dominant: health correlates of male social rank and age in a marmot

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          Abstract

          The benefits of dominance may not come without costs, particularly for males. For example, the “immunocompetence handicap hypothesis” states that males with enhanced mating success allocate resources to enhance reproductive output at a cost to their current health, whereas the “resource quality hypothesis” predicts that high-ranking males may benefit from increased reproduction and good health. Whereas the predictions from each have been well tested in captive animals and in a variety of highly social primates, fewer studies have been carried out in free-living, facultatively social animals. Using adult male yellow-bellied marmots ( Marmota flaviventer), we evaluated predictions of these hypotheses by examining the relationship between social rank and 2 health indicators—fecal glucocorticoid metabolite (FCM) levels, and neutrophil/lymphocyte (N/L) ratios—after accounting for variation explained by age, body mass, and seasonality. We found that higher-ranking males tended to have a lower N/L ratio (reflecting good health) than lower-ranking individuals, whereas FCM levels were not significantly related to rank. In addition, heavier male marmots had lower N/L ratios, whereas body mass was not associated with FCM levels. We also found that older adult males had lower FCM levels (reflecting less physiological stress) but higher N/L ratios than younger adults. Finally, we found that FCM levels decreased as the active season progressed and FCM levels were associated with the time of the day. Overall, our results suggest that socially-dominant male marmots enjoyed better, not worse health in terms of lower N/L ratios.

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          Most cited references64

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          lmerTest Package: Tests in Linear Mixed Effects Models

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            Fitting Linear Mixed-Effects Models Using lme4

            Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evaluated as a function of some of the model parameters. The appropriate criterion is optimized, using one of the constrained optimization functions in R, to provide the parameter estimates. We describe the structure of the model, the steps in evaluating the profiled deviance or REML criterion, and the structure of classes or types that represents such a model. Sufficient detail is included to allow specialization of these structures by users who wish to write functions to fit specialized linear mixed models, such as models incorporating pedigrees or smoothing splines, that are not easily expressible in the formula language used by lmer. Journal of Statistical Software, 67 (1) ISSN:1548-7660
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              A general and simple method for obtainingR2from generalized linear mixed-effects models

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                Author and article information

                Contributors
                Role: Handling Editor
                Journal
                Curr Zool
                Curr Zool
                czoolo
                Current Zoology
                Oxford University Press
                1674-5507
                2396-9814
                February 2022
                28 April 2021
                28 April 2021
                : 68
                : 1
                : 19-26
                Affiliations
                [1 ] Department of Ecology & Evolutionary Biology, University of California , Los Angeles, CA 90095-1606, USA
                [2 ] Department of Biology, Mills College , Oakland, CA 94613, USA
                [3 ] The Rocky Mountain Biological Laboratory , Crested Butte, CO 81224, USA
                Author notes
                Address correspondence to D.T. Blumstein. E-mail: marmots@ 123456ucla.edu
                Author information
                https://orcid.org/0000-0001-5793-9244
                Article
                zoab034
                10.1093/cz/zoab034
                8836331
                35169626
                5af8cb85-2f25-4a93-9ea3-9245b283bfcd
                © The Author(s) (2021). Published by Oxford University Press on behalf of Editorial Office, Current Zoology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 19 February 2021
                : 22 April 2021
                : 09 February 2022
                Page count
                Pages: 8
                Funding
                Funded by: Japan Society for the Promotion of Science Overseas Research Fellowship;
                Funded by: American Association of University Women, Institute for Society and Genetics;
                Funded by: University of California Los Angeles;
                Funded by: American Philosophical Society for fellowships;
                Funded by: National Geographic Society, UCLA;
                Funded by: Faculty Senate and the Division of Life Sciences;
                Funded by: Rocky Mountain Biological Laboratory;
                Funded by: National Science Foundation, DOI 10.13039/100000001;
                Award ID: I.D.B.R.-0754247
                Award ID: D.E.B.-1119660
                Award ID: 1557130
                Award ID: D.B.I. 0242960
                Award ID: 0731346
                Award ID: 1226713 RMBL
                Categories
                Articles
                AcademicSubjects/SCI01320
                AcademicSubjects/SCI01130

                immunocompetence handicap hypothesis,life history trade-offs,n/l ratio,physiological stress,resource quality hypothesis

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