0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Impact of fluctuating developmental temperatures on phenotypic traits in reptiles: a meta-analysis

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          ABSTRACT

          During the vulnerable stages of early life, most ectothermic animals experience hourly and diel fluctuations in temperature as air temperatures change. While we know a great deal about how different constant temperatures impact the phenotypes of developing ectotherms, we know remarkably little about the impacts of temperature fluctuations on the development of ectotherms. In this study, we used a meta-analytic approach to compare the mean and variance of phenotypic outcomes from constant and fluctuating incubation temperatures across reptile species. We found that fluctuating temperatures provided a small benefit (higher hatching success and shorter incubation durations) at cool mean temperatures compared with constant temperatures, but had a negative effect at warm mean temperatures. In addition, more extreme temperature fluctuations led to greater reductions in embryonic survival compared with moderate temperature fluctuations. Within the limited data available from species with temperature-dependent sex determination, embryos had a higher chance of developing as female when developing in fluctuating temperatures compared with those developing in constant temperatures. With our meta-analytic approach, we identified average mean nest temperatures across all taxa where reptiles switch from receiving benefits to incurring costs when incubation temperatures fluctuate. More broadly, our study indicates that the impact of fluctuating developmental temperature on some phenotypes in ectothermic taxa are likely to be predictable via integration of developmental temperature profiles with thermal performance curves.

          Related collections

          Most cited references93

          • Record: found
          • Abstract: not found
          • Article: not found

          Measuring inconsistency in meta-analyses.

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Conducting Meta-Analyses inRwith themetaforPackage

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R

              After more than fifteen years of existence, the R package ape has continuously grown its contents, and has been used by a growing community of users. The release of version 5.0 has marked a leap towards a modern software for evolutionary analyses. Efforts have been put to improve efficiency, flexibility, support for 'big data' (R's long vectors), ease of use and quality check before a new release. These changes will hopefully make ape a useful software for the study of biodiversity and evolution in a context of increasing data quantity.
                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Journal of Experimental Biology
                The Company of Biologists
                0022-0949
                1477-9145
                March 08 2022
                March 08 2022
                March 08 2022
                : 225
                : Suppl_1
                Affiliations
                [1 ]Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW 2052, Australia
                [2 ]Division of Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, ACT 2600, Australia
                [3 ]Department of Biology, Mount Allison University, Sackville, NB, Canada, E4L 1E2
                [4 ]Charles Perkins Centre, Faculty of Science, School of Life and Environmental Sciences and School of Mathematics and Statistics, The University of Sydney, Sydney, NSW 2006, Australia
                [5 ]Department of Biological Sciences, College of Sciences and Mathematics, Auburn University, Auburn, AL 36849, USA
                [6 ]School of Natural Sciences, University of Tasmania, Sandy Bay, Hobart, TAS 7001, Australia
                Article
                10.1242/jeb.243369
                35258602
                b00e2a97-8463-4967-9ecf-3d5ddb02ae28
                © 2022

                http://www.biologists.com/user-licence-1-1/

                History

                Comments

                Comment on this article