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      A global meta‐analysis reveals higher variation in breeding phenology in urban birds than in their non‐urban neighbours

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          Abstract

          Cities pose a major ecological challenge for wildlife worldwide. Phenotypic variation, which can result from underlying genetic variation or plasticity, is an important metric to understand eco‐evolutionary responses to environmental change. Recent work suggests that urban populations might have higher levels of phenotypic variation than non‐urban counterparts. This prediction, however, has never been tested across species nor over a broad geographical range. Here, we conducted a meta‐analysis of the avian literature to compare urban versus non‐urban means and variation in phenology (i.e. lay date) and reproductive effort (i.e. clutch size, number of fledglings). First, we show that urban populations reproduce earlier and have smaller broods than non‐urban conspecifics. Second, we show that urban populations have higher phenotypic variation in laying date than non‐urban populations. This result arises from differences between populations within breeding seasons, conceivably due to higher landscape heterogeneity in urban habitats. These findings reveal a novel effect of urbanisation on animal life histories with potential implications for species adaptation to urban environments (which will require further investigation). The higher variation in phenology in birds subjected to urban disturbance could result from plastic responses to a heterogeneous environment, or from higher genetic variation in phenology, possibly linked to higher evolutionary potential.

          Abstract

          Phenotypic variation is an important metric to understand eco‐evolutionary responses to environmental change. We conduct a meta‐analysis of the bird literature to compare urban versus non‐urban means and variation in phenology and reproductive effort. We show that urban populations reproduce earlier, have smaller broods and have higher phenotypic variation in laying date than non‐urban conspecifics.

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          Conducting Meta-Analyses inRwith themetaforPackage

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            A general and simple method for obtainingR2from generalized linear mixed-effects models

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              Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range

              The era of big data is coming, and evidence-based medicine is attracting increasing attention to improve decision making in medical practice via integrating evidence from well designed and conducted clinical research. Meta-analysis is a statistical technique widely used in evidence-based medicine for analytically combining the findings from independent clinical trials to provide an overall estimation of a treatment effectiveness. The sample mean and standard deviation are two commonly used statistics in meta-analysis but some trials use the median, the minimum and maximum values, or sometimes the first and third quartiles to report the results. Thus, to pool results in a consistent format, researchers need to transform those information back to the sample mean and standard deviation. In this article, we investigate the optimal estimation of the sample mean for meta-analysis from both theoretical and empirical perspectives. A major drawback in the literature is that the sample size, needless to say its importance, is either ignored or used in a stepwise but somewhat arbitrary manner, e.g. the famous method proposed by Hozo et al. We solve this issue by incorporating the sample size in a smoothly changing weight in the estimators to reach the optimal estimation. Our proposed estimators not only improve the existing ones significantly but also share the same virtue of the simplicity. The real data application indicates that our proposed estimators are capable to serve as "rules of thumb" and will be widely applied in evidence-based medicine.
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                Author and article information

                Contributors
                pacapilla@gmail.com
                Journal
                Ecol Lett
                Ecol Lett
                10.1111/(ISSN)1461-0248
                ELE
                Ecology Letters
                John Wiley and Sons Inc. (Hoboken )
                1461-023X
                1461-0248
                22 September 2022
                November 2022
                : 25
                : 11 ( doiID: 10.1111/ele.v25.11 )
                : 2552-2570
                Affiliations
                [ 1 ] School of Biodiversity, One Health and Veterinary Medicine University of Glasgow Glasgow UK
                [ 2 ] Département des Sciences Biologiques Université du Québec à Montréal Montreal Canada
                [ 3 ] Centre d'Ecologie Fonctionnelle et Evolutive Université de Montpellier, CNRS, EPHE, IRD Montpellier France
                [ 4 ] Department of Evolutionary Biology Bielefeld University Bielefeld Germany
                Author notes
                [*] [* ] Correspondence

                Pablo Capilla‐Lasheras, School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Graham Kerr Building, Glasgow G128QQ, UK.

                Email: pacapilla@ 123456gmail.com

                Author information
                https://orcid.org/0000-0001-6091-7089
                https://orcid.org/0000-0002-0279-5340
                https://orcid.org/0000-0002-2886-0649
                https://orcid.org/0000-0003-0557-0339
                https://orcid.org/0000-0002-4416-0984
                https://orcid.org/0000-0002-0419-7125
                https://orcid.org/0000-0003-2063-9955
                Article
                ELE14099 ELE-00755-2022
                10.1111/ele.14099
                9826320
                36136999
                7b19913d-2d2d-4e28-b9b4-e922adb0d632
                © 2022 The Authors. Ecology Letters 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
                : 26 July 2022
                : 18 August 2022
                Page count
                Figures: 5, Tables: 2, Pages: 19, Words: 13603
                Funding
                Funded by: Natural Environment Research Council , doi 10.13039/501100000270;
                Award ID: NE/S005773/1
                Categories
                Synthesis
                Synthesis
                Custom metadata
                2.0
                November 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.3 mode:remove_FC converted:08.01.2023

                Ecology
                global change,habitat heterogeneity,life‐history traits,meta‐analysis,phenotypic variation,synthesis,urban ecology,urbanisation

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