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      A warmer environment can reduce sociability in an ectotherm

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          Abstract

          The costs and benefits of being social vary with environmental conditions, so individuals must weigh the balance between these trade‐offs in response to changes in the environment. Temperature is a salient environmental factor that may play a key role in altering the costs and benefits of sociality through its effects on food availability, predator abundance, and other ecological parameters. In ectotherms, changes in temperature also have direct effects on physiological traits linked to social behaviour, such as metabolic rate and locomotor performance. In light of climate change, it is therefore important to understand the potential effects of temperature on sociality. Here, we took the advantage of a ‘natural experiment’ of threespine sticklebacks from contrasting thermal environments in Iceland: geothermally warmed water bodies (warm habitats) and adjacent ambient‐temperature water bodies (cold habitats) that were either linked (sympatric) or physically distinct (allopatric). We first measured the sociability of wild‐caught adult fish from warm and cold habitats after acclimation to a low and a high temperature. At both acclimation temperatures, fish from the allopatric warm habitat were less social than those from the allopatric cold habitat, whereas fish from sympatric warm and cold habitats showed no differences in sociability. To determine whether differences in sociability between thermal habitats in the allopatric population were heritable, we used a common garden breeding design where individuals from the warm and the cold habitat were reared at a low or high temperature for two generations. We found that sociability was indeed heritable but also influenced by rearing temperature, suggesting that thermal conditions during early life can play an important role in influencing social behaviour in adulthood. By providing the first evidence for a causal effect of rearing temperature on social behaviour, our study provides novel insights into how a warming world may influence sociality in animal populations.

          Abstract

          We tested the effect of temperature on social behaviour using threespine sticklebacks from geothermally warmed lakes and adjacent ambient‐temperature lakes in Iceland. Using a common garden breeding design, we show that sociability is both heritable and influenced by rearing temperature, suggesting that thermal conditions during early life can play an important role in influencing sociability in adulthood. Our study provides the first evidence for a causal effect of temperature on social behaviour, offering novel insights into how a warming world may influence sociality in animal populations.

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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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            rptR: repeatability estimation and variance decomposition by generalized linear mixed-effects models

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              Global metabolic impacts of recent climate warming.

              Documented shifts in geographical ranges, seasonal phenology, community interactions, genetics and extinctions have been attributed to recent global warming. Many such biotic shifts have been detected at mid- to high latitudes in the Northern Hemisphere-a latitudinal pattern that is expected because warming is fastest in these regions. In contrast, shifts in tropical regions are expected to be less marked because warming is less pronounced there. However, biotic impacts of warming are mediated through physiology, and metabolic rate, which is a fundamental measure of physiological activity and ecological impact, increases exponentially rather than linearly with temperature in ectotherms. Therefore, tropical ectotherms (with warm baseline temperatures) should experience larger absolute shifts in metabolic rate than the magnitude of tropical temperature change itself would suggest, but the impact of climate warming on metabolic rate has never been quantified on a global scale. Here we show that estimated changes in terrestrial metabolic rates in the tropics are large, are equivalent in magnitude to those in the north temperate-zone regions, and are in fact far greater than those in the Arctic, even though tropical temperature change has been relatively small. Because of temperature's nonlinear effects on metabolism, tropical organisms, which constitute much of Earth's biodiversity, should be profoundly affected by recent and projected climate warming.
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                Author and article information

                Contributors
                natalie.pilakouta@abdn.ac.uk
                kevin.parsons@glasgow.ac.uk
                Journal
                Glob Chang Biol
                Glob Chang Biol
                10.1111/(ISSN)1365-2486
                GCB
                Global Change Biology
                John Wiley and Sons Inc. (Hoboken )
                1354-1013
                1365-2486
                19 October 2022
                January 2023
                : 29
                : 1 ( doiID: 10.1111/gcb.v29.1 )
                : 206-214
                Affiliations
                [ 1 ] School of Biodiversity, One Health and Veterinary Medicine University of Glasgow Glasgow UK
                [ 2 ] School of Biological Sciences University of Aberdeen Aberdeen UK
                [ 3 ] Department of Biology University of Turku Turku Finland
                [ 4 ] Department of Biological Sciences University of Montreal Montreal Canada
                [ 5 ] Norwegian Institute of Marine Research Bergen Norway
                [ 6 ] Department of Aquaculture and Fish Biology Hólar University Sauðárkrókur Iceland
                [ 7 ] Icelandic Museum of Natural History Reykjavík Iceland
                Author notes
                [*] [* ] Correspondence

                Natalie Pilakouta, School of Biological Sciences, University of Aberdeen, Aberdeen, UK.

                Email: natalie.pilakouta@ 123456abdn.ac.uk

                Kevin J. Parsons, School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK.

                Email: kevin.parsons@ 123456glasgow.ac.uk

                Author information
                https://orcid.org/0000-0001-8503-520X
                https://orcid.org/0000-0001-6984-5771
                https://orcid.org/0000-0002-8191-3981
                https://orcid.org/0000-0001-5630-6680
                https://orcid.org/0000-0002-1970-9349
                https://orcid.org/0000-0003-4949-3988
                Article
                GCB16451 GCB-22-0941.R1
                10.1111/gcb.16451
                10092372
                36259414
                fdcdf92e-766c-48ae-8b2e-78c2880f57d5
                © 2022 The Authors. Global Change Biology 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
                : 15 August 2022
                : 28 April 2022
                : 25 September 2022
                Page count
                Figures: 6, Tables: 0, Pages: 9, Words: 7320
                Funding
                Funded by: H2020 European Research Council , doi 10.13039/100010663;
                Award ID: 640004
                Funded by: Natural Environment Research Council , doi 10.13039/501100000270;
                Award ID: NE/J019100/1
                Award ID: NE/N016734/1
                Funded by: Wellcome Trust , doi 10.13039/100010269;
                Award ID: Institutional Strategic Support Fund
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                January 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:12.04.2023

                behavioural reaction norm,climate change,gasterosteus aculeatus,genotype‐by‐environment interaction,phenotypic plasticity,shoaling,sociality,thermal effects,threespine stickleback

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