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      The global distribution of angiosperm genome size is shaped by climate

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          Summary

          • Angiosperms, which inhabit diverse environments across all continents, exhibit significant variation in genome sizes, making them an excellent model system for examining hypotheses about the global distribution of genome size. These include the previously proposed large genome constraint, mutational hazard, polyploidy‐mediated, and climate‐mediated hypotheses.

          • We compiled the largest genome size dataset to date, encompassing 16 017 (> 5% of known) angiosperm species, and analyzed genome size distribution using a comprehensive geographic distribution dataset for all angiosperms.

          • We observed that angiosperms with large range sizes generally had small genomes, supporting the large genome constraint hypothesis. Climate was shown to exert a strong influence on genome size distribution along the global latitudinal gradient, while the frequency of polyploidy and the type of growth form had negligible effects. In contrast to the unimodal patterns along the global latitudinal gradient shown by plant size traits and polyploid proportions, the increase in angiosperm genome size from the equator to 40–50°N/S is probably mediated by different (mostly climatic) mechanisms than the decrease in genome sizes observed from 40 to 50°N northward.

          • Our analysis suggests that the global distribution of genome sizes in angiosperms is mainly shaped by climatically mediated purifying selection, genetic drift, relaxed selection, and environmental filtering.

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          lavaan: AnRPackage for Structural Equation Modeling

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            Climatologies at high resolution for the earth’s land surface areas

            High-resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present the CHELSA (Climatologies at high resolution for the earth’s land surface areas) data of downscaled model output temperature and precipitation estimates of the ERA-Interim climatic reanalysis to a high resolution of 30 arc sec. The temperature algorithm is based on statistical downscaling of atmospheric temperatures. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height, with a subsequent bias correction. The resulting data consist of a monthly temperature and precipitation climatology for the years 1979–2013. We compare the data derived from the CHELSA algorithm with other standard gridded products and station data from the Global Historical Climate Network. We compare the performance of the new climatologies in species distribution modelling and show that we can increase the accuracy of species range predictions. We further show that CHELSA climatological data has a similar accuracy as other products for temperature, but that its predictions of precipitation patterns are better.
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              On the Relationship between Abundance and Distribution of Species

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                Author and article information

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                Journal
                New Phytologist
                New Phytologist
                Wiley
                0028-646X
                1469-8137
                April 2024
                January 24 2024
                April 2024
                : 242
                : 2
                : 744-759
                Affiliations
                [1 ] Department of Botany and Zoology, Faculty of Science Masaryk University Kotlarska 2 611 37 Brno Czech Republic
                [2 ] Department of Biological Sciences University of Cape Town Cape Town 7700 South Africa
                [3 ] Royal Botanic Gardens, Kew Richmond TW9 3AE UK
                [4 ] UN Environment Programme World Conservation Monitoring Centre (UNEP‐WCMC) Cambridge CB3 0DL UK
                Article
                10.1111/nph.19544
                38264772
                dbf50fd2-a33f-4baa-8dd7-44efca02c07a
                © 2024

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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