{ "labelLang" : "hun", "responseDate" : "2024-03-28 12:54", "content" : { "otype" : "JournalArticle", "mtid" : 2056057, "status" : "ADMIN_APPROVED", "published" : true, "comment" : "\nDepartment of Evolutionary Ecology, Estación Biológica de Doñana-CSIC, c/Americo Vespucio, s/n, 41092 Seville, Spain \n Behavioural Ecology Group, Department of Systematic Zoology and Ecology, Eötvös Loránd University, Pázmány Péter sétany 1/c, 1117 Budapest, Hungary \n Department of Plant Pathology, Corvinus University of Budapest, Ménesi út 44, 1118 Budapest, Hungary \n Ecological Genetics Research Unit, Department of Biosciences, University of Helsinki, P.O. Box 65, 00014 Helsinki, Finland \n Cited By :76 \n Export Date: 5 December 2019 \n CODEN: EVECE \n Correspondence Address: Garamszegi, L. Z.; Department of Evolutionary Ecology, Estación Biológica de Doñana-CSIC, c/Americo Vespucio, s/n, 41092 Seville, Spain; email: laszlo.garamszegi@ebd.csic.es\nDepartment of Evolutionary Ecology, Estación Biológica de Doñana-CSIC, c/Americo Vespucio, s/n, 41092 Seville, Spain \n Behavioural Ecology Group, Department of Systematic Zoology and Ecology, Eötvös Loránd University, Pázmány Péter sétany 1/c, 1117 Budapest, Hungary \n Department of Plant Pathology, Corvinus University of Budapest, Ménesi út 44, 1118 Budapest, Hungary \n Ecological Genetics Research Unit, Department of Biosciences, University of Helsinki, P.O. Box 65, 00014 Helsinki, Finland \n Cited By :76 \n Export Date: 9 December 2019 \n CODEN: EVECE \n Correspondence Address: Garamszegi, L. Z.; Department of Evolutionary Ecology, Estación Biológica de Doñana-CSIC, c/Americo Vespucio, s/n, 41092 Seville, Spain; email: laszlo.garamszegi@ebd.csic.es\nFunding Agency and Grant Number: Spanish National Research Council (Consejo Superior de Investigaciones Cientificas-CSIC); \"Plan Nacional'' program of the Spanish government [CGL2009-10652, CGL2009-09439]; Academy of FinlandAcademy of FinlandEuropean Commission [128716]; [TAMOP-4.2.1./B-09/1-KMR-2010-0005]; [TAMOP-4.2.2./B-10/1-2010-0023]\n Funding text: We thank S. Nakagawa for the invitation for this special volume and for his help with the random effect modelling based on Bayesian approaches. N. Dingemanse and another referee provided constructive comments. We are grateful to those authors (Peter Biro, Neeltje J. Boogert, Alecia J. Carter, Eleanor Cole, Niels Dingemanse, Sinead English, Rebecca Fox, Todd M. Freeberg, Lauren Highfill, Katri Korpela, William James Loughry, Mark C. Mainwaring, Katherine A. Miller, Ariane Mutzel, Vladimir V. Pravosudov, Denis Reale, Alexandre Roulin, Heiko G. Rodel, Holger Schielzeth, Jessica Stapley, Jana Uher, Kees van Oers) who provided useful explanations or unpublished information for calculating effect sizes. ManuSTAT Central offered statistical help. J. Rifkin helped improve the readability of the final version. LZG was supported by a \"Ramon y Cajal'' research grant of the Spanish National Research Council (Consejo Superior de Investigaciones Cientificas-CSIC) and by the \"Plan Nacional'' program of the Spanish government (LZG, ref. no. CGL2009-10652 and CGL2009-09439). GM was supported by the TAMOP-4.2.1./B-09/1-KMR-2010-0005 and the TAMOP-4.2.2./B-10/1-2010-0023 grants and GH by the Academy of Finland (#128716).", "unhandledTickets" : 0, "oldTimestamp" : "2017-08-15T10:03:12.000+0000", "deleted" : false, "oldId" : 2056057, "lastRefresh" : "2024-03-26T14:29:47.450+0000", "lastModified" : "2020-01-09T04:55:32.610+0000", "created" : "2012-09-11T10:58:40.000+0000", "creator" : { "otype" : "Author", "mtid" : 10017565, "link" : "/api/author/10017565", "label" : "Markó Gábor (ökológia)", "familyName" : "Markó", "givenName" : "Gábor", "published" : true, "oldId" : 10017565, "snippet" : true }, "lastDuplumSearch" : "2024-02-15T13:13:00.038+0000", "adminApproved" : "2019-04-05T08:31:08.183+0000", "adminApprover" : { "otype" : "Admin", "mtid" : 10019782, "link" : "/api/admin/10019782", "label" : "Csámer Iván (ELTE TTK kari admin 5)", "familyName" : "Csámer", "givenName" : "Iván", "published" : true, "oldId" : 10019782, "snippet" : true }, "core" : true, 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Such phenomenon is labelled as behavioural syndrome and is usually demonstrated by\nphenotypic correlations between behaviours like activity, exploration, aggression and risktaking across individuals in a population. However, published studies disagree on the\nstrength, and even on the existence of such relationships. To make general inferences from this mixed evidence, we quantitatively reviewed the literature using modern meta-analytic approaches. Based on a large dataset, we investigated the overall relationship between behaviours that are expected to form a syndrome and tested which factors can mediate heterogeneities in study outcomes. The average strength of the phenotypic correlation between behaviours was weak; we found no effect of the phylogeny of species but did observe significant publication bias. However, even accounting for this bias, the mean effect size was positive and statistically different from zero (r = 0.198). Effect sizes showed considerable heterogeneity within species, implying a role for population-specific adaptation to environmental factors and/or between-study differences in research design. There was a significant positive association between absolute effect size and repeatability of behaviours, suggesting that within-individual variation of behavioural traits can set up an upper limit for the strength of the detected phenotypic correlations. Moreover, spatial overlap between the contexts in which different behaviours were assayed increased the magnitude of the association. The small effect size for the focal relationship implies that a huge sample size would be required to demonstrate a correlation between behaviours with\nsufficient statistical power, which is fulfilled only in very few studies. This suggests that behavioural syndromes often remain undetected and unpublished. 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