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      Lizard assemblage from a sand dune habitat from southeastern Brazil: a niche overlap analysis

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          Abstract

          ABSTRACT Communities are structured by interactions of historical and ecological factors, which influence the use of different resources in time and space. We acquired data on time of activity, microhabitat use and diet of a lizard assemblage from a sand dune habitat in a coastal area, southeastern Brazil (Restinga de Jurubatiba). We analyzed the data of niche overlap among species in these three axes (temporal, spatial and trophic) using null models. We found a significant overlap within the trophic niche, whereas the overlap for the other axes did not differ from the expected. Based on this result, we discuss the factors acting on the structure of the local lizard community.

          Translated abstract

          RESUMO As comunidades são estruturadas por uma interação de fatores históricos e ecológicos que influenciam o uso de diferentes recursos no tempo e no espaço. Coletamos dados sobre tempo de atividade, o uso de micro-habitat e dieta de uma assembleia de lagartos de um habitat de restinga na costa do Sudeste do Brasil (Restinga de Jurubatiba). Os dados foram analisados em relação à sobreposição de nicho entre as espécies ao longo de três eixos (temporais, espaciais e tróficos), utilizando modelos nulos. Encontramos uma sobreposição significativa no nicho trófico, enquanto que a sobreposição para os outros eixos não diferiu do esperado. Com base neste resultado, discutimos os fatores que atuam sobre a estruturação da comunidade local de lagartos.

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          The Structure of Lizard Communities

          E Pianka (1973)
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            A phylogeny and revised classification of Squamata, including 4161 species of lizards and snakes

            Background The extant squamates (>9400 known species of lizards and snakes) are one of the most diverse and conspicuous radiations of terrestrial vertebrates, but no studies have attempted to reconstruct a phylogeny for the group with large-scale taxon sampling. Such an estimate is invaluable for comparative evolutionary studies, and to address their classification. Here, we present the first large-scale phylogenetic estimate for Squamata. Results The estimated phylogeny contains 4161 species, representing all currently recognized families and subfamilies. The analysis is based on up to 12896 base pairs of sequence data per species (average = 2497 bp) from 12 genes, including seven nuclear loci (BDNF, c-mos, NT3, PDC, R35, RAG-1, and RAG-2), and five mitochondrial genes (12S, 16S, cytochrome b, ND2, and ND4). The tree provides important confirmation for recent estimates of higher-level squamate phylogeny based on molecular data (but with more limited taxon sampling), estimates that are very different from previous morphology-based hypotheses. The tree also includes many relationships that differ from previous molecular estimates and many that differ from traditional taxonomy. Conclusions We present a new large-scale phylogeny of squamate reptiles that should be a valuable resource for future comparative studies. We also present a revised classification of squamates at the family and subfamily level to bring the taxonomy more in line with the new phylogenetic hypothesis. This classification includes new, resurrected, and modified subfamilies within gymnophthalmid and scincid lizards, and boid, colubrid, and lamprophiid snakes.
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              Resource Partitioning in Amphibians and Reptiles

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                aabc
                Anais da Academia Brasileira de Ciências
                An. Acad. Bras. Ciênc.
                Academia Brasileira de Ciências
                1678-2690
                2016
                : 88
                : suppl 1
                : 677-687
                Affiliations
                [1 ] Universidade do Estado do Rio de Janeiro Brazil
                [2 ] Universidade Federal Rural da Amazônia Brazil
                [3 ] Universidade Federal do Estado do Rio de Janeiro Brazil
                Article
                S0001-37652016000200677
                10.1590/0001-3765201620150335
                c68f74b1-1b55-4be8-815d-1e2d39f34b98

                This work is licensed under a Creative Commons Attribution 4.0 International License.

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                SciELO Brazil

                Self URI (journal page): http://www.scielo.br/scielo.php?script=sci_serial&pid=0001-3765&lng=en
                Categories
                MULTIDISCIPLINARY SCIENCES

                null models,communities,sand dune habitat,lizards,Brazil,modelos nulos,comunidades,restinga,lagartos,Brasil

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