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      Ecological drivers of global gradients in avian dispersal inferred from wing morphology

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          Abstract

          An organism’s ability to disperse influences many fundamental processes, from speciation and geographical range expansion to community assembly. However, the patterns and underlying drivers of variation in dispersal across species remain unclear, partly because standardised estimates of dispersal ability are rarely available. Here we present a global dataset of avian hand-wing index (HWI), an estimate of wing shape widely adopted as a proxy for dispersal ability in birds. We show that HWI is correlated with geography and ecology across 10,338 (>99%) species, increasing at higher latitudes and with migration, and decreasing with territoriality. After controlling for these effects, the strongest predictor of HWI is temperature variability (seasonality), with secondary effects of diet and habitat type. Finally, we also show that HWI is a strong predictor of geographical range size. Our analyses reveal a prominent latitudinal gradient in HWI shaped by a combination of environmental and behavioural factors, and also provide a global index of avian dispersal ability for use in community ecology, macroecology, and macroevolution.

          Abstract

          In birds, the hand-wing index is a morphological trait that can be used as a proxy for flight efficiency. Here the authors examine variation of hand-wing index in over 10,000 bird species, finding that it is higher in migratory and non-territorial species, and lower in the tropics.

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          Metapopulation dynamics

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            Evolution and the latitudinal diversity gradient: speciation, extinction and biogeography.

            A latitudinal gradient in biodiversity has existed since before the time of the dinosaurs, yet how and why this gradient arose remains unresolved. Here we review two major hypotheses for the origin of the latitudinal diversity gradient. The time and area hypothesis holds that tropical climates are older and historically larger, allowing more opportunity for diversification. This hypothesis is supported by observations that temperate taxa are often younger than, and nested within, tropical taxa, and that diversity is positively correlated with the age and area of geographical regions. The diversification rate hypothesis holds that tropical regions diversify faster due to higher rates of speciation (caused by increased opportunities for the evolution of reproductive isolation, or faster molecular evolution, or the increased importance of biotic interactions), or due to lower extinction rates. There is phylogenetic evidence for higher rates of diversification in tropical clades, and palaeontological data demonstrate higher rates of origination for tropical taxa, but mixed evidence for latitudinal differences in extinction rates. Studies of latitudinal variation in incipient speciation also suggest faster speciation in the tropics. Distinguishing the roles of history, speciation and extinction in the origin of the latitudinal gradient represents a major challenge to future research.
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              The drivers of tropical speciation.

              Since the recognition that allopatric speciation can be induced by large-scale reconfigurations of the landscape that isolate formerly continuous populations, such as the separation of continents by plate tectonics, the uplift of mountains or the formation of large rivers, landscape change has been viewed as a primary driver of biological diversification. This process is referred to in biogeography as vicariance. In the most species-rich region of the world, the Neotropics, the sundering of populations associated with the Andean uplift is ascribed this principal role in speciation. An alternative model posits that rather than being directly linked to landscape change, allopatric speciation is initiated to a greater extent by dispersal events, with the principal drivers of speciation being organism-specific abilities to persist and disperse in the landscape. Landscape change is not a necessity for speciation in this model. Here we show that spatial and temporal patterns of genetic differentiation in Neotropical birds are highly discordant across lineages and are not reconcilable with a model linking speciation solely to landscape change. Instead, the strongest predictors of speciation are the amount of time a lineage has persisted in the landscape and the ability of birds to move through the landscape matrix. These results, augmented by the observation that most species-level diversity originated after episodes of major Andean uplift in the Neogene period, suggest that dispersal and differentiation on a matrix previously shaped by large-scale landscape events was a major driver of avian speciation in lowland Neotropical rainforests.
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                Author and article information

                Contributors
                catherine.sheard@bristol.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                18 May 2020
                18 May 2020
                2020
                : 11
                : 2463
                Affiliations
                [1 ]ISNI 0000 0004 1936 7603, GRID grid.5337.2, School of Earth Sciences, , University of Bristol, ; Bristol, BS8 1TQ UK
                [2 ]ISNI 0000 0004 1936 8948, GRID grid.4991.5, Department of Zoology, , University of Oxford, ; South Parks Road, Oxford, OX1 3PS UK
                [3 ]ISNI 0000 0001 2193 0096, GRID grid.223827.e, School of Biological Sciences, , University of Utah, ; Salt Lake City, UT 84112 USA
                [4 ]ISNI 0000 0001 0726 2490, GRID grid.9668.1, Department of Environmental and Biological Sciences, , University of Eastern Finland, ; FI-80100 Joensuu, Finland
                [5 ]ISNI 0000 0001 2188 881X, GRID grid.4970.a, School of Biological Sciences, , Royal Holloway, University of London, ; Egham, Surrey, TW20 OEX UK
                [6 ]Conservation Society of Sierra Leone, 86 Main Road, Freetown, Sierra Leone
                [7 ]ISNI 0000 0004 1936 7603, GRID grid.5337.2, School of Biological Sciences, , University of Bristol, ; Bristol, BS8 1TQ UK
                [8 ]Future-Fit Foundation, 68 Hanbury St, Spitalfields, London, EC2A 2EX UK
                [9 ]ISNI 0000 0001 2197 9375, GRID grid.421647.2, Department of Natural History, , Royal Ontario Museum, ; Toronto, ON M5S 2C6 Canada
                [10 ]ISNI 0000 0001 2157 2938, GRID grid.17063.33, Department of Ecology and Evolutionary Biology, , University of Toronto, ; Toronto, ON M5S 1A1 Canada
                [11 ]ISNI 0000 0001 2113 8111, GRID grid.7445.2, Department of Life Sciences, , Imperial College London, ; Silwood Park, Ascot, SL5 7PY UK
                Author information
                http://orcid.org/0000-0002-8259-1275
                http://orcid.org/0000-0001-9753-6765
                http://orcid.org/0000-0002-8123-986X
                http://orcid.org/0000-0001-5379-8392
                http://orcid.org/0000-0002-8926-5974
                http://orcid.org/0000-0003-2429-6179
                Article
                16313
                10.1038/s41467-020-16313-6
                7235233
                32424113
                c8d9f4d9-4fc1-4710-afb1-88250c26d6ab
                © The Author(s) 2020

                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
                : 13 November 2019
                : 16 April 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000592, US-UK Fulbright Commission (Fulbright Commission);
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: 788203
                Award Recipient :
                Funded by: University of Oxford Clarendon Fund
                Funded by: FundRef https://doi.org/10.13039/501100000038, Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada);
                Award ID: RGPIN-2018-0674
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000270, RCUK | Natural Environment Research Council (NERC);
                Award ID: NE/I028068/1
                Award ID: NE/K016385/1
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                macroecology,zoology,biogeography
                Uncategorized
                macroecology, zoology, biogeography

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