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      Density‐dependent demography and movements in a cyclic brown lemming population

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          Abstract

          Theoretical modeling predicts that both direct and delayed density‐dependence are key factors to generate population cycles. Deciphering density‐dependent processes that lead to variable population growth characterizing different phases of the cycles remains challenging. This is particularly the case for the period of prolonged low densities, which is inherently data deficient. However, demographic analyses based on long‐term capture–mark–recapture datasets can help resolve this question. We relied on a 16‐year (2004–2019) live‐trapping program to analyze the summer demography and movements of a cyclic brown lemming population in the Canadian Arctic. More specifically, we examined if inversely density‐dependent processes could explain why population growth can remain low during the prolonged low phase. We found that the proportion of females in the population was inversely density‐dependent with a strong male‐biased sex ratio at low densities but not at high densities. However, survival of adult females was higher than adult males, but both had lower survival at low densities than at high ones. Distances moved by both adult males and females were density‐dependent, and proportion of females in reproductive condition was weakly density‐dependent as it tended to increase at low density. Individual body condition, measured as monthly change in body mass, was not density‐dependent. Overall, the strong male‐biased sex ratio at very low densities suggests a loss of reproductive potential due to the rarity of females and appears to be the most susceptible demographic factor that could contribute to the prolonged low phase in cyclic brown lemmings. What leads to this sex‐bias in the first place is still unclear, potentially owing to our trapping period limited to the summer, but we suggest that it could be due to high predation rate on breeding females in winter.

          Abstract

          Density‐dependence is often difficult to measure during the low abundance phases of fluctuating populations, but we present new evidence that inverse density‐dependent sex‐ratios ‐ i.e. proportion of adult females in the population increasing with density ‐ characterises brown lemming cycles. Such low abundance of females compared to males remain unexplained, but may have strong implications in preventing a low density population to grow again under delayed density‐dependant predation.

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          Most cited references64

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          Uninformative Parameters and Model Selection Using Akaike's Information Criterion

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            Spatially explicit maximum likelihood methods for capture-recapture studies.

            Live-trapping capture-recapture studies of animal populations with fixed trap locations inevitably have a spatial component: animals close to traps are more likely to be caught than those far away. This is not addressed in conventional closed-population estimates of abundance and without the spatial component, rigorous estimates of density cannot be obtained. We propose new, flexible capture-recapture models that use the capture locations to estimate animal locations and spatially referenced capture probability. The models are likelihood-based and hence allow use of Akaike's information criterion or other likelihood-based methods of model selection. Density is an explicit parameter, and the evaluation of its dependence on spatial or temporal covariates is therefore straightforward. Additional (nonspatial) variation in capture probability may be modeled as in conventional capture-recapture. The method is tested by simulation, using a model in which capture probability depends only on location relative to traps. Point estimators are found to be unbiased and standard error estimators almost unbiased. The method is used to estimate the density of Red-eyed Vireos (Vireo olivaceus) from mist-netting data from the Patuxent Research Refuge, Maryland, U.S.A. Estimates agree well with those from an existing spatially explicit method based on inverse prediction. A variety of additional spatially explicit models are fitted; these include models with temporal stratification, behavioral response, and heterogeneous animal home ranges.
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              Density estimation in live-trapping studies

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                Author and article information

                Contributors
                dfauteux@nature.ca
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                04 July 2022
                July 2022
                : 12
                : 7 ( doiID: 10.1002/ece3.v12.7 )
                : e9055
                Affiliations
                [ 1 ] Canadian Museum of Nature Ottawa Ontario Canada
                [ 2 ] Centre d'Études Nordiques and Université Laval Québec Québec Canada
                Author notes
                [*] [* ] Correspondence

                Dominique Fauteux, Canadian Museum of Nature, Centre for Arctic Knowledge and Exploration, 1740, Chemin Pink, Gatineau (QC) J9J3N7, Canada.

                Email: dfauteux@ 123456nature.ca

                Author information
                https://orcid.org/0000-0001-5373-8701
                Article
                ECE39055 ECE-2022-01-00058.R2
                10.1002/ece3.9055
                9251844
                4666af5c-a862-4c5e-a81a-ac4eeca035a1
                © 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 03 June 2022
                : 13 January 2022
                : 08 June 2022
                Page count
                Figures: 7, Tables: 0, Pages: 11, Words: 8540
                Funding
                Funded by: ArcticNet , doi 10.13039/501100000003;
                Funded by: Natural Resources Canada , doi 10.13039/501100000159;
                Funded by: Natural Sciences and Engineering Research Council of Canada , doi 10.13039/501100000038;
                Funded by: Polar Knowledge Canada , doi 10.13039/100012258;
                Funded by: W. Garfield Weston Foundation , doi 10.13039/501100000243;
                Funded by: Fonds de recherche du Québec Nature et Technologies
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                July 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:04.07.2022

                Evolutionary Biology
                food web,rodents,small mammals,top‐dhown regulation,trough phase,tundra
                Evolutionary Biology
                food web, rodents, small mammals, top‐dhown regulation, trough phase, tundra

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