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      Revisiting the ideas of trees as templates and the competition paradigm in pairwise analyses of ground-dwelling ant species occurrences in a tropical forest

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          Abstract

          Abstract A challenge for studies on the organization of ant assemblages in forest ecosystems is to disentangle the causal effects of species occurrences. The structural and functional attributes of trees can act as environmental filters for ground-dwelling ant species influencing resource availability and the microclimate. The biotic interactions, especially competition, can work together with plant characteristics influencing ant species occurrences. To test the importance of tree traits and species interactions on co-occurrence patterns of ants, we collected ground-dwelling ants, with pitfalls and litter sampling, beneath the canopies of four tree species during the rainy and dry seasons in a restored forest. We used five predictors (tree identity, crown size, trunk circumference, litter depth, and leaves density) to model the presence probabilities of ants . Hence, we applied habitat constrained null models in pairwise analyses to disentangle the causal effects of ants co-occurrences. The random pattern predominated in the assemblages, making up 96% of all possible species pairs combinations. Overall, 50% of the species pairs that showed nonrandomness in the ant occurrences were interpreted as resulting from environmental filters, 36% as negative associations and 14% as positive associations. Additionally, we found that the effects of season and the sampling technique on the ant assemblages were also important. We suggest that the ideas of the trees as templates and the paradigm of competition are both useful for understanding pairwise occurrence patterns in ant assemblages, and can be tested using tree traits as predictors in ant species distribution models for running constrained null models.

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          Effects of Exotic Plant Invasions on Soil Nutrient Cycling Processes

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            The checkerboard score and species distributions

            There has been an ongoing controversy over how to decide whether the distribution of species is "random" - i.e., whether it is not greatly different from what it would be if species did not interact. We recently showed (Roberts and Stone (1990)) that in the case of the Vanuatu (formerly New Hebrides) avifauna, the number of islands shared by species pairs was incompatible with a "random" null hypothesis. However, it was difficult to determine the causes or direction of the community's exceptionality. In this paper, the latter problem is examined further. We use Diamond's (1975) notion of checkerboard distributions (originally developed as an indicator of competition) and construct a C-score statistic which quantifies "checkerboardedness". This statistic is based on the way two species might colonise a pair of islands; whenever each species colonises a different island this adds 1 to the C-score. Following Connor and Simberloff (1979) we generate a "control group" of random colonisation patterns (matrices), and use the C-score to determine their checkerboard characteristics. As an alternative mode of enquiry, we make slight alterations to the observed data, repeating this process many times so as to obtain another "control group". In both cases, when we compare the observed data for the Vanuatu avifauna and the Antillean bat communities with that given by their respective "control group", we find that these communities have significantly large checkerboard distributions, making implausible the hypothesis that their species distributions are a product of random colonisation.
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              sdm: a reproducible and extensible R platform for species distribution modelling

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                Author and article information

                Journal
                rbent
                Revista Brasileira de Entomologia
                Rev. Bras. entomol.
                Sociedade Brasileira De Entomologia (São Paulo, SP, Brazil )
                1806-9665
                2021
                : 65
                : 1
                : e20200026
                Affiliations
                [03] Curitiba Paraná orgnameUniversidade Federal do Paraná orgdiv1Programa de Pós-Graduação em Entomologia Brazil
                [02] Seropédica Rio de Janeiro orgnameUniversidade Federal Rural do Rio de Janeiro orgdiv1Departamento de Ciências Ambientais Brazil
                [01] Seropédica Rio de Janeiro orgnameUniversidade Federal Rural do Rio de Janeiro orgdiv1Programa de Pós-Graduação em Biologia Animal Brazil
                [04] Curitiba Paraná orgnameUniversidade Federal do Paraná orgdiv1Departamento de Zoologia Brazil
                Article
                S0085-56262021000100204 S0085-5626(21)06500100204
                10.1590/1806-9665-rbent-2020-0026
                3ecbd6f3-5337-41c0-bbe8-8a75881fcfa9

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

                History
                : 29 March 2020
                : 19 January 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 102, Pages: 0
                Product

                SciELO Brazil

                Self URI: Full text available only in PDF format (EN)
                Categories
                Articles

                Secondary forest,Null models,Niche models,Formicidae,Community ecology

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