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      Life history, climate and biogeography interactively affect worldwide genetic diversity of plant and animal populations

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          Abstract

          Understanding how biological and environmental factors interactively shape the global distribution of plant and animal genetic diversity is fundamental to biodiversity conservation. Genetic diversity measured in local populations (GD P) is correspondingly assumed representative for population fitness and eco-evolutionary dynamics. For 8356 populations across the globe, we report that plants systematically display much lower GD P than animals, and that life history traits shape GD P patterns both directly (animal longevity and size), and indirectly by mediating core-periphery patterns (animal fecundity and plant dispersal). Particularly in some plant groups, peripheral populations can sustain similar GD P as core populations, emphasizing their potential conservation value. We further find surprisingly weak support for general latitudinal GD P trends. Finally, contemporary rather than past climate contributes to the spatial distribution of GD P, suggesting that contemporary environmental changes affect global patterns of GD P. Our findings generate new perspectives for the conservation of genetic resources at worldwide and taxonomic-wide scales.

          Abstract

          A global analysis of population-level variation in genetic diversity for 727 plant and animal species finds that biogeography, life history traits and climate are important for predicting the distribution of local genetic diversity, and should be considered together when assessing the local conservation status of species.

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          Most cited references107

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          Effect size, confidence interval and statistical significance: a practical guide for biologists.

          Null hypothesis significance testing (NHST) is the dominant statistical approach in biology, although it has many, frequently unappreciated, problems. Most importantly, NHST does not provide us with two crucial pieces of information: (1) the magnitude of an effect of interest, and (2) the precision of the estimate of the magnitude of that effect. All biologists should be ultimately interested in biological importance, which may be assessed using the magnitude of an effect, but not its statistical significance. Therefore, we advocate presentation of measures of the magnitude of effects (i.e. effect size statistics) and their confidence intervals (CIs) in all biological journals. Combined use of an effect size and its CIs enables one to assess the relationships within data more effectively than the use of p values, regardless of statistical significance. In addition, routine presentation of effect sizes will encourage researchers to view their results in the context of previous research and facilitate the incorporation of results into future meta-analysis, which has been increasingly used as the standard method of quantitative review in biology. In this article, we extensively discuss two dimensionless (and thus standardised) classes of effect size statistics: d statistics (standardised mean difference) and r statistics (correlation coefficient), because these can be calculated from almost all study designs and also because their calculations are essential for meta-analysis. However, our focus on these standardised effect size statistics does not mean unstandardised effect size statistics (e.g. mean difference and regression coefficient) are less important. We provide potential solutions for four main technical problems researchers may encounter when calculating effect size and CIs: (1) when covariates exist, (2) when bias in estimating effect size is possible, (3) when data have non-normal error structure and/or variances, and (4) when data are non-independent. Although interpretations of effect sizes are often difficult, we provide some pointers to help researchers. This paper serves both as a beginner's instruction manual and a stimulus for changing statistical practice for the better in the biological sciences.
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            Biodiversity loss and its impact on humanity.

            The most unique feature of Earth is the existence of life, and the most extraordinary feature of life is its diversity. Approximately 9 million types of plants, animals, protists and fungi inhabit the Earth. So, too, do 7 billion people. Two decades ago, at the first Earth Summit, the vast majority of the world's nations declared that human actions were dismantling the Earth's ecosystems, eliminating genes, species and biological traits at an alarming rate. This observation led to the question of how such loss of biological diversity will alter the functioning of ecosystems and their ability to provide society with the goods and services needed to prosper.
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              The genetic legacy of the Quaternary ice ages.

              G. Hewitt (2000)
              Global climate has fluctuated greatly during the past three million years, leading to the recent major ice ages. An inescapable consequence for most living organisms is great changes in their distribution, which are expressed differently in boreal, temperate and tropical zones. Such range changes can be expected to have genetic consequences, and the advent of DNA technology provides most suitable markers to examine these. Several good data sets are now available, which provide tests of expectations, insights into species colonization and unexpected genetic subdivision and mixture of species. The genetic structure of human populations may be viewed in the same context. The present genetic structure of populations, species and communities has been mainly formed by Quaternary ice ages, and genetic, fossil and physical data combined can greatly help our understanding of how organisms were so affected.
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                Author and article information

                Contributors
                hanne.dekort@kuleuven.be
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                22 January 2021
                22 January 2021
                2021
                : 12
                : 516
                Affiliations
                [1 ]GRID grid.5596.f, ISNI 0000 0001 0668 7884, Plant Conservation and Population Biology, Department of Biology, , University of Leuven, ; Heverlee, Belgium
                [2 ]GRID grid.457024.0, Centre National de la Recherche Scientifique, SETE Station d’Ecologie Théorique et Expérimentale, UMR 5321, ; Moulis, France
                [3 ]GRID grid.5335.0, ISNI 0000000121885934, Department of Earth Sciences, , University of Cambridge, ; Cambridge, UK
                [4 ]GRID grid.462844.8, ISNI 0000 0001 2308 1657, Institut Systématique, Evolution, Biodiversité (ISYEB), UMR 7205 Museum National d’Histoire Naturelle, CNRS, , Sorbonne Université, EPHE, Université des Antilles, ; Paris, France
                Author information
                http://orcid.org/0000-0003-2516-0134
                http://orcid.org/0000-0003-4110-2567
                http://orcid.org/0000-0003-2865-4674
                Article
                20958
                10.1038/s41467-021-20958-2
                7822833
                33483517
                eddb47db-2958-4815-a85c-3cb8c20ac6d0
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 February 2020
                : 4 January 2021
                Categories
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                Custom metadata
                © The Author(s) 2021

                Uncategorized
                conservation biology,evolutionary genetics,genetics,plant sciences,zoology
                Uncategorized
                conservation biology, evolutionary genetics, genetics, plant sciences, zoology

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