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      Neutral colonisations drive high beta-diversity in cavernicole springtails (Collembola)

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      PLoS ONE
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          Abstract

          The theory of island biogeography predicts the effects of habitat isolation and size on species richness, community assembly, and the persistence of species. Various studies showed that habitat conditions and the ecology of species are also of relevance in explaining community assembly. Geographically isolated habitats like caves with rather constant environmental conditions provide models to test for the relevance of the above described variables. In this study we analysed springtails living in karst caves of the Romanian Carpathians and Dobrogea region. We considered phylogenetic relatedness, habitat and species characteristics to identify the relevant drivers of community assembly. Our data show that species richness of single caves is low. Neither phylogenetic relatedness nor habitat filtering and competitive interactions seem to shape species composition or to affect species richness. We found that glacial-interglacial cycles with subsequent range contractions and expansions might have led to independent and multiple colonisations of caves. Furthermore, single caves might have acted as refugia and thus might have provided the prerequisite for distinct evolution processes, leading to a high level of endemicity of these animal species.

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          Metapopulation dynamics

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            The architecture of mutualistic networks minimizes competition and increases biodiversity.

            The main theories of biodiversity either neglect species interactions or assume that species interact randomly with each other. However, recent empirical work has revealed that ecological networks are highly structured, and the lack of a theory that takes into account the structure of interactions precludes further assessment of the implications of such network patterns for biodiversity. Here we use a combination of analytical and empirical approaches to quantify the influence of network architecture on the number of coexisting species. As a case study we consider mutualistic networks between plants and their animal pollinators or seed dispersers. These networks have been found to be highly nested, with the more specialist species interacting only with proper subsets of the species that interact with the more generalist. We show that nestedness reduces effective interspecific competition and enhances the number of coexisting species. Furthermore, we show that a nested network will naturally emerge if new species are more likely to enter the community where they have minimal competitive load. Nested networks seem to occur in many biological and social contexts, suggesting that our results are relevant in a wide range of fields.
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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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                Author and article information

                Contributors
                Role: Data curationRole: InvestigationRole: Methodology
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2 January 2018
                2018
                : 13
                : 1
                : e0189638
                Affiliations
                [1 ] Institute of Biology Bucharest, Romanian Academy, 296 Splaiul Independenţei, Bucharest, Romania
                [2 ] Terrestrial Ecology Research Group, Department of Ecology and Ecosystem Management, School of Life Science Weihenstephan, Technische Universität München, Freising, Germany
                [3 ] Chair of Ecology and Biogeography, Nicolaus Copernicus University Torun, Toruń, Poland
                University of Roehampton, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-8715-6619
                Article
                PONE-D-17-29384
                10.1371/journal.pone.0189638
                5749714
                29293538
                1f2b586b-c27f-458c-9c1a-0e3bde813b88
                © 2018 Fiera et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 8 August 2017
                : 29 November 2017
                Page count
                Figures: 4, Tables: 1, Pages: 12
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100004442, Narodowym Centrum Nauki;
                Award ID: 2014/13/B/NZ8/04681
                Award Recipient :
                W.U. was supported by a grant from the Polish National Science Centre (2014/13/B/NZ8/04681).
                Categories
                Research Article
                Earth Sciences
                Geomorphology
                Topography
                Landforms
                Caves
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Biology and Life Sciences
                Ecology
                Community Ecology
                Community Structure
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Community Structure
                Biology and Life Sciences
                Evolutionary Biology
                Evolutionary Systematics
                Phylogenetics
                Biology and Life Sciences
                Taxonomy
                Evolutionary Systematics
                Phylogenetics
                Computer and Information Sciences
                Data Management
                Taxonomy
                Evolutionary Systematics
                Phylogenetics
                Biology and Life Sciences
                Ecology
                Community Ecology
                Community Assembly
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Community Assembly
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Mathematical Models
                Biology and Life Sciences
                Ecology
                Community Ecology
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Earth Sciences
                Geomorphology
                Topography
                Landforms
                Islands
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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