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      Simultaneous GPS-tracking of parents reveals a similar parental investment within pairs, but no immediate co-adjustment on a trip-to-trip basis

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          Abstract

          Background

          Parental care benefits the offspring, but comes at a cost for each parent, which in biparental species gives rise to a conflict between partners regarding the within-pair distribution of care. Pair members could avoid exploitation by efficiently keeping track of each other’s efforts and coordinating their efforts. Parents may, therefore, space their presence at the nest, which could also allow for permanent protection of the offspring. Additionally, they may respond to their partner’s previous investment by co-adjusting their efforts on a trip-to-trip basis, resulting in overall similar parental activities within pairs.

          Methods

          We investigated the coordination of parental care measured as nest attendance and foraging effort in the Lesser black-backed gull ( Larus fuscus), a species with long nest bouts that performs extended foraging trips out of sight of their partner. This was achieved by GPS-tracking both pair members simultaneously during the entire chick rearing period.

          Results

          We found that the timing of foraging trips (and hence nest attendance) was coordinated within gull pairs, as individuals left the colony only after their partner had returned. Parents did not match their partner’s investment by actively co-adjusting their foraging efforts on a trip-by-trip basis. Yet, pair members were similar in their temporal and energetic investments during chick rearing.

          Conclusion

          Balanced investment levels over a longer time frame suggest that a coordination of effort may not require permanent co-adjustment of the levels of care on a trip-to-trip basis, but may instead rather take place at an earlier stage in the reproductive attempt, or over integrated longer time intervals. Identifying the drivers and underlying processes of coordination will be one of the next necessary steps to fully understand parental cooperation in long-lived species.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40462-021-00279-1.

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          Most cited references71

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          Fitting Linear Mixed-Effects Models Usinglme4

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            glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling

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              Cryptic multiple hypotheses testing in linear models: overestimated effect sizes and the winner's curse

              Fitting generalised linear models (GLMs) with more than one predictor has become the standard method of analysis in evolutionary and behavioural research. Often, GLMs are used for exploratory data analysis, where one starts with a complex full model including interaction terms and then simplifies by removing non-significant terms. While this approach can be useful, it is problematic if significant effects are interpreted as if they arose from a single a priori hypothesis test. This is because model selection involves cryptic multiple hypothesis testing, a fact that has only rarely been acknowledged or quantified. We show that the probability of finding at least one ‘significant’ effect is high, even if all null hypotheses are true (e.g. 40% when starting with four predictors and their two-way interactions). This probability is close to theoretical expectations when the sample size (N) is large relative to the number of predictors including interactions (k). In contrast, type I error rates strongly exceed even those expectations when model simplification is applied to models that are over-fitted before simplification (low N/k ratio). The increase in false-positive results arises primarily from an overestimation of effect sizes among significant predictors, leading to upward-biased effect sizes that often cannot be reproduced in follow-up studies (‘the winner's curse’). Despite having their own problems, full model tests and P value adjustments can be used as a guide to how frequently type I errors arise by sampling variation alone. We favour the presentation of full models, since they best reflect the range of predictors investigated and ensure a balanced representation also of non-significant results.
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                Author and article information

                Contributors
                marwa.kavelaars@gmail.com
                Journal
                Mov Ecol
                Mov Ecol
                Movement Ecology
                BioMed Central (London )
                2051-3933
                21 August 2021
                21 August 2021
                2021
                : 9
                : 42
                Affiliations
                [1 ]GRID grid.5284.b, ISNI 0000 0001 0790 3681, Behavioural Ecology and Ecophysiology Group (BECO), , University of Antwerp, ; Universiteitsplein 1, 2610 Antwerp, Belgium
                [2 ]GRID grid.5342.0, ISNI 0000 0001 2069 7798, Terrestrial Ecology Unit (TEREC), , Ghent University, K.L, ; Ledeganckstraat 35, 9000 Ghent, Belgium
                [3 ]GRID grid.435417.0, Research Institute for Nature and Forest (INBO), ; Havenlaan 88, 1000 Brussels, Belgium
                [4 ]GRID grid.7177.6, ISNI 0000000084992262, Theoretical and Computational Ecology, IBED, , University of Amsterdam, ; P.O. Box 94240, 1090 GE Amsterdam, The Netherlands
                Author information
                http://orcid.org/0000-0001-7631-9999
                Article
                279
                10.1186/s40462-021-00279-1
                8379723
                34419142
                5d31b94c-e7ca-402a-a253-c3113597ed7d
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 27 March 2021
                : 10 August 2021
                Funding
                Funded by: FWO
                Award ID: 11ZI716N
                Award ID: 12R7619N
                Award ID: G0E1614N
                Award Recipient :
                Categories
                Research
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                © The Author(s) 2021

                parental investment,sexual conflict,parental coordination,biologging,seabirds,lesser black-backed gulls

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