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      Global diversity dynamics in the fossil record are regionally heterogeneous

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          Abstract

          Global diversity patterns in the fossil record comprise a mosaic of regional trends, underpinned by spatially non-random drivers and distorted by variation in sampling intensity through time and across space. Sampling-corrected diversity estimates from spatially-standardised fossil datasets retain their regional biogeographic nuances and avoid these biases, yet diversity-through-time arises from the interplay of origination and extinction, the processes that shape macroevolutionary history. Here we present a subsampling algorithm to eliminate spatial sampling bias, coupled with advanced probabilistic methods for estimating origination and extinction rates and a Bayesian method for estimating sampling-corrected diversity. We then re-examine the Late Permian to Early Jurassic marine fossil record, an interval spanning several global biotic upheavals that shaped the origins of the modern marine biosphere. We find that origination and extinction rates are regionally heterogenous even during events that manifested globally, highlighting the need for spatially explicit views of macroevolutionary processes through geological time.

          Abstract

          Global diversity trends in the fossil record vary regionally through time and space, affecting our ability to interpret macroevolutionary history. Here, the authors propose a method to eliminate spatial sampling bias, estimate origination and extinction rates, and generate diversity estimates, applying this method to the Late Permian to Early Jurassic marine fossil record.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            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.
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              Bayes Factors

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                Author and article information

                Contributors
                jf15558@bristol.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                18 May 2022
                18 May 2022
                2022
                : 13
                : 2751
                Affiliations
                [1 ]GRID grid.5337.2, ISNI 0000 0004 1936 7603, School of Earth Sciences, , University of Bristol, ; Bristol, UK
                [2 ]GRID grid.8534.a, ISNI 0000 0004 0478 1713, Department of Biology, , University of Fribourg, ; Fribourg, Switzerland
                [3 ]GRID grid.8761.8, ISNI 0000 0000 9919 9582, Department of Biological and Environmental Sciences, , University of Gothenburg, ; Gothenburg, Sweden
                [4 ]Global Gothenburg Biodiversity Centre, Gothenburg, Sweden
                Author information
                http://orcid.org/0000-0001-8232-6773
                http://orcid.org/0000-0003-0100-0961
                http://orcid.org/0000-0002-4323-1824
                Article
                30507
                10.1038/s41467-022-30507-0
                9117201
                35585069
                c5090923-e46a-40ad-8801-8f383861615b
                © The Author(s) 2022

                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
                : 21 July 2019
                : 5 May 2022
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                © The Author(s) 2022

                Uncategorized
                palaeontology,biogeography,standardization
                Uncategorized
                palaeontology, biogeography, standardization

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