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      Functional traits and phylogeny explain snake distribution in the world's largest dry forest ecoregion, the Gran Chaco

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          Abstract

          Macroecological studies describe large‐scale diversity patterns through analyses of species distribution patterns and allows us to elucidate how species differing in ecology, physical requirements, and life histories are distributed in a multidimensional space. These patterns of distributions can be explained by vegetation, and climatic factors, and are determined by historical and current factors. The continuous accumulation of information on the distribution patterns of species is essential to understand the history and evolution of the biota. In this study, we aimed to identify functional and evolutionary drivers that explain the geographic patterns of vertical stratification. We compiled morphological, ecological, and distribution data of 140 species of Chacoan snakes and constructed null models to map their geographic pattern. We used a range of environmental variables to assess which drivers are influencing these biogeographic patterns. Lastly, we used evolutionary data to build the first map of the phylogenetic regions of Chacoan snakes. We found a latitudinal pattern, with a marked verticality in the snake assemblies in the Chaco. Verticality and long‐tailed species richness increased in areas with high stratified habitats and stable temperature. Fossoriality is driven mainly by soil conditions, especially soils with fewer sand particles and less stratified habitat. Phylogenetic regions in the Chaco showed a marked latitudinal pattern, like that observed in the geographic pattern of verticality. The distribution pattern of Chacoan snakes also reflects their evolutionary history, with a marked phylogenetic regionalization.

          Abstract

          Chacoan snakes show a latitudinal pattern of distribution, with a marked verticality. Long‐tailed species richness and verticality increases in areas with high stratified habitats and stable temperature; and short‐tailed species richness and fossoriality is driven mainly by soil conditions, especially soils with fewer sand particles and less stratified habitat. The distribution pattern of Chacoan snakes also reflects their evolutionary history, with a marked phylogenetic regionalizaton.

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          WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

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            High-resolution global maps of 21st-century forest cover change.

            Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil's well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.
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              Rebuilding community ecology from functional traits.

              There is considerable debate about whether community ecology will ever produce general principles. We suggest here that this can be achieved but that community ecology has lost its way by focusing on pairwise species interactions independent of the environment. We assert that community ecology should return to an emphasis on four themes that are tied together by a two-step process: how the fundamental niche is governed by functional traits within the context of abiotic environmental gradients; and how the interaction between traits and fundamental niches maps onto the realized niche in the context of a biotic interaction milieu. We suggest this approach can create a more quantitative and predictive science that can more readily address issues of global change.
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                Author and article information

                Contributors
                huguitocabral@gmail.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                15 November 2022
                November 2022
                : 12
                : 11 ( doiID: 10.1002/ece3.v12.11 )
                : e9503
                Affiliations
                [ 1 ] Programa de Pós‐Graduação em Biologia Animal Universidade Estadual Paulista São José do Rio Preto Brazil
                [ 2 ] Instituto de Investigación Biológica del Paraguay Asunción Paraguay
                [ 3 ] Mapinguari – Laboratório de Biogeografia e Sistemática de Anfíbios e Répteis, Instituto de Biociências Universidade Federal de Mato Grosso do Sul Campo Grande Brazil
                [ 4 ] Departamento de Biologia Animal, Instituto de Biologia Universidade Estadual de Campinas Campinas Brazil
                [ 5 ] Gothenburg Global Biodiversity Center and Department of Biological and Environmental Sciences University of Gothenburg Göteborg Sweden
                Author notes
                [*] [* ] Correspondence

                Hugo Cabral, Programa de Pós‐Graduação em Biologia Animal, Universidade Estadual Paulista, 15054‐000, São José do Rio Preto, SP, Brazil.

                Email: huguitocabral@ 123456gmail.com

                Author information
                https://orcid.org/0000-0002-0320-9411
                https://orcid.org/0000-0003-3318-7193
                https://orcid.org/0000-0002-8789-3061
                Article
                ECE39503 ECE-2022-08-01166.R1
                10.1002/ece3.9503
                9666913
                36407904
                3ebb3971-7e54-481f-9457-0527268dcd04
                © 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 October 2022
                : 06 August 2022
                : 23 October 2022
                Page count
                Figures: 5, Tables: 0, Pages: 11, Words: 8051
                Funding
                Funded by: Consejo Nacional de Ciencia y Tecnología, Paraguay , doi 10.13039/501100013704;
                Award ID: PRONII
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico , doi 10.13039/501100003593;
                Award ID: 309420/2020‐2
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior , doi 10.13039/501100002322;
                Award ID: PEC‐PG
                Funded by: Universidade Estadual do Maranhão , doi 10.13039/100019557;
                Categories
                Biogeography
                Research Article
                Research Articles
                Custom metadata
                2.0
                November 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.1 mode:remove_FC converted:16.11.2022

                Evolutionary Biology
                climate,ecology,habitat heterogeneity,macroecology,morphology,phylogenetic region,soil conditions,species traits

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