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      Telomeres and anthropogenic disturbances in wildlife: A systematic review and meta‐analysis

      1 , 2 , 1
      Molecular Ecology
      Wiley

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          Abstract

          <p id="d24398303e221">Human‐driven environmental changes are affecting wildlife across the globe. These challenges do not influence species or populations to the same extent and therefore a comprehensive evaluation of organismal health is needed to determine their ultimate impact. Evidence suggests that telomeres (the terminal chromosomal regions) are sensitive to environmental conditions and have been posited as a surrogate for animal health and fitness. Evaluation of their use in an applied ecological context is still scarce. Here, using information from molecular and occupational biomedical studies, we aim to provide ecologists and evolutionary biologists with an accessible synthesis of the links between human disturbances and telomere length. In addition, we perform a systematic review and meta‐analysis on studies measuring telomere length in wild/wild‐derived animals facing anthropogenic disturbances. Despite the relatively small number of studies to date, our meta‐analysis revealed a significant small negative association between disturbances and telomere length (−0.092 [−0.153, −0.031]; <i>n</i> = 28; <i>k</i> = 159). Yet, our systematic review suggests that the use of telomeres as a biomarker to understand the anthropogenic impact on wildlife is limited. We propose some research avenues that will help to broadly evaluate their suitability: (i) further causal studies on the link between human disturbances and telomeres; (ii) investigating the organismal implications, in terms of fitness and performance, of a given telomere length in anthropogenically disturbed scenarios; and (iii) better understanding of the underlying mechanisms of telomere dynamics. Future studies in these facets will help to ultimately determine their role as markers of health and fitness in wildlife facing anthropogenic disturbances. </p>

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              Statistical Power Analysis for the Behavioral Sciences

              <i>Statistical Power Analysis</i> is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: <br> * a chapter covering power analysis in set correlation and multivariate methods;<br> * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;<br> * expanded power and sample size tables for multiple regression/correlation.<br>
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Molecular Ecology
                Molecular Ecology
                Wiley
                0962-1083
                1365-294X
                February 09 2022
                Affiliations
                [1 ]<idGroup xmlns="http://www.wiley.com/namespaces/wiley"><id type="ringgold" value="3526"></id></idGroup>Institute of Biodiversity, Animal Health and Comparative Medicine University of Glasgow Glasgow UK
                [2 ]Department of Plant Biology and Ecology Faculty of Science and Technology University of the Basque Country (UPV/EHU) Leioa Spain
                Article
                10.1111/mec.16370
                883a4ece-20af-4e64-8320-f1b87eaa44c4
                © 2022

                http://creativecommons.org/licenses/by-nc/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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