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      The importance of migratory drop-off for island colonization in birds

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          Abstract

          Seasonal migration is an underappreciated driver of animal diversification. Changes in migratory behaviour may favour the establishment of sedentary founder populations and promote speciation if there is sufficient reproductive isolation between sedentary and migratory populations. From a systematic literature review, we here quantify the role of migratory drop-off—the loss of migratory behaviour—in promoting speciation in birds on islands. We identify at least 157 independent colonization events likely initiated by migratory species that led to speciation, including 44 cases among recently extinct species. By comparing, for all islands, the proportion of island endemic species that derived from migratory drop-off with the proportion of migratory species among potential colonizers, we showed that seasonal migration has a larger effect on island endemic richness than direct dispersal. We also found that the role of migration in island colonization increases with the geographic isolation of islands. Furthermore, the success of speciation events depends in part on species biogeographic and ecological factors, here positively associated with greater range size and larger flock sizes. These results highlight the importance of shifts in migratory behaviour in the speciation process and calls for greater consideration of migratory drop-off in the biogeographic distribution of birds.

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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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            The global diversity of birds in space and time.

            Current global patterns of biodiversity result from processes that operate over both space and time and thus require an integrated macroecological and macroevolutionary perspective. Molecular time trees have advanced our understanding of the tempo and mode of diversification and have identified remarkable adaptive radiations across the tree of life. However, incomplete joint phylogenetic and geographic sampling has limited broad-scale inference. Thus, the relative prevalence of rapid radiations and the importance of their geographic settings in shaping global biodiversity patterns remain unclear. Here we present, analyse and map the first complete dated phylogeny of all 9,993 extant species of birds, a widely studied group showing many unique adaptations. We find that birds have undergone a strong increase in diversification rate from about 50 million years ago to the near present. This acceleration is due to a number of significant rate increases, both within songbirds and within other young and mostly temperate radiations including the waterfowl, gulls and woodpeckers. Importantly, species characterized with very high past diversification rates are interspersed throughout the avian tree and across geographic space. Geographically, the major differences in diversification rates are hemispheric rather than latitudinal, with bird assemblages in Asia, North America and southern South America containing a disproportionate number of species from recent rapid radiations. The contribution of rapidly radiating lineages to both temporal diversification dynamics and spatial distributions of species diversity illustrates the benefits of an inclusive geographical and taxonomical perspective. Overall, whereas constituent clades may exhibit slowdowns, the adaptive zone into which modern birds have diversified since the Cretaceous may still offer opportunities for diversification.
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              Inferring the historical patterns of biological evolution.

              M. Pagel (1999)
              Phylogenetic trees describe the pattern of descent amongst a group of species. With the rapid accumulation of DNA sequence data, more and more phylogenies are being constructed based upon sequence comparisons. The combination of these phylogenies with powerful new statistical approaches for the analysis of biological evolution is challenging widely held beliefs about the history and evolution of life on Earth.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: VisualizationRole: Writing – original draft
                Role: Data curationRole: Formal analysisRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Funding acquisitionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – review & editing
                Journal
                Proc Biol Sci
                Proc Biol Sci
                RSPB
                royprsb
                Proceedings of the Royal Society B: Biological Sciences
                The Royal Society
                0962-8452
                1471-2954
                April 17, 2024
                April 2024
                April 17, 2024
                : 291
                : 2021
                : 20232926
                Affiliations
                [ 1 ] Department of Biological & Environmental Sciences, University of Gothenburg, , Gothenburg, Sweden
                [ 2 ] Gothenburg Global Biodiversity Centre, , Gothenburg, Sweden
                [ 3 ] Centre for Ecological Research and Forestry Applications (CREAF), , E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
                [ 4 ] UK Centre for Ecology & Hydrology, , Maclean Building, Crowmarsh Gifford, Wallingford, Oxfordshire OX10 8BB, UK
                [ 5 ] Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, , London WC1E 6BT, UK
                [ 6 ] Institute of Zoology, Zoological Society of London, , London NW1 4RY, UK
                [ 7 ] LECA, CNRS, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, , Chambéry, France
                [ 8 ] Department of Biology, University of Konstanz, , Konstanz, Germany
                [ 9 ] Center for the Advanced Study of Collective Behavior, University of Konstanz, , Konstanz, Germany
                [ 10 ] Department of Collective Behavior, Max Planck Institute of Animal Behavior, , Konstanz, Germany
                [ 11 ] Bayreuth Center of Ecology and Environmental Research (BayCEER) & Bayreuth Center of Sport Science (BaySpo), University of Bayreuth, , Bayreuth, Germany
                [ 12 ] Department of Biological Sciences, University of Bergen, , Bergen, Norway
                Author notes

                Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.7159019.

                Author information
                http://orcid.org/0000-0002-7940-9997
                http://orcid.org/0000-0003-3540-7487
                http://orcid.org/0000-0003-0601-8888
                http://orcid.org/0000-0003-4882-1580
                http://orcid.org/0000-0002-2974-2628
                Article
                rspb20232926
                10.1098/rspb.2023.2926
                11021927
                38628117
                f2902457-6edc-409c-b3c9-239190712f78
                © 2024 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : December 23, 2023
                : March 14, 2024
                Funding
                Funded by: Carl Tryggers Stiftelse för Vetenskaplig Forskning, http://dx.doi.org/10.13039/501100002805;
                Funded by: Swedish Research Council;
                Award ID: 04690
                Categories
                1001
                60
                70
                14
                Ecology
                Research Articles

                Life sciences
                seasonal migration,long-distance dispersal,birds,island biogeography,extinct species
                Life sciences
                seasonal migration, long-distance dispersal, birds, island biogeography, extinct species

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