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      Tropical Estuarine Macrobenthic Communities Are Structured by Turnover Rather than Nestedness

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          Abstract

          Turnover (i.e., species substitution) and nestedness (i.e., subsets of species from more diverse locations), the two main mechanisms used to explain the beta diversity of biological communities, have different implications for biodiversity conservation. To better understand how these mechanisms contribute to beta diversity, we tested the following hypotheses: (i) greater dissimilarity in community composition occurs between estuarine zones than other hierarchical level studied; (ii) beta diversity in these communities develops by turnover in estuaries with a lower degree of anthropogenic impact, but by nestedness in estuaries with a greater degree of anthropogenic impact; and (iii) the structuring mechanism is independent of season. We studied two tropical estuaries (dry and wet seasons) that vary in terms of land-use of the drainage basins. Subtidal benthic macroinvertebrates were sampled along the estuarine gradient in each of the two estuaries. The additive partitioning approach to species diversity was used to determine the hierarchical scale with the greatest dissimilarity in community composition. General beta diversity was measured using the Sorensen dissimilarity index, partitioning the turnover and nestedness components. The greatest dissimilarity in the composition of the communities occurred between the zones along the estuarine gradient in both seasons (dry = 58.6%; wet = 46.3%). In the estuary with a lower degree of anthropogenic influence, benthic macroinvertebrate diversity was generated by turnover regardless of the season. In the estuary with a greater degree of anthropogenic impact, beta diversity was structured by turnover during the dry season and a combination of both mechanisms during the wet season. We conclude that turnover is the principal mechanism responsible for beta diversity in benthic macroinvertebrate communities in tropical estuaries.

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          Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist.

          A recent increase in studies of β diversity has yielded a confusing array of concepts, measures and methods. Here, we provide a roadmap of the most widely used and ecologically relevant approaches for analysis through a series of mission statements. We distinguish two types of β diversity: directional turnover along a gradient vs. non-directional variation. Different measures emphasize different properties of ecological data. Such properties include the degree of emphasis on presence/absence vs. relative abundance information and the inclusion vs. exclusion of joint absences. Judicious use of multiple measures in concert can uncover the underlying nature of patterns in β diversity for a given dataset. A case study of Indonesian coral assemblages shows the utility of a multi-faceted approach. We advocate careful consideration of relevant questions, matched by appropriate analyses. The rigorous application of null models will also help to reveal potential processes driving observed patterns in β diversity. © 2010 Blackwell Publishing Ltd/CNRS.
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            The Estuarine Quality Paradox, Environmental Homeostasis and the difficulty of detecting anthropogenic stress in naturally stressed areas.

            Estuaries have long been regarded as environmentally naturally stressed areas because of the high degree of variability in their physico-chemical characteristics, for example oxygen, temperature and salinity in the water column and bed sediment dynamics. However, their biota is well-adapted to cope with that stress and so the areas may be regarded as resilient because of that inherent variability; their ability to absorb stress without adverse effects is regarded here as Environmental Homeostasis. Hence these areas may only be regarded as stressful for marine or freshwater-adapted organisms and that for estuarine organisms this environmental stress is regarded as a subsidy whereby they successfully capitalise on the stressful conditions. In addition, using examples of the estuarine fauna and flora, this article indicates that the characteristics of natural stress in estuaries are similar to those for anthropogenic stress. An over-reliance on ecosystem structural features, such as diversity, in quality indicators therefore makes the detection of the anthropogenic stress more difficult. This difficulty is termed the Estuarine Quality Paradox. Because of these difficulties, the article argues that functional characteristics either as well as or rather than structural ones should be used in detecting environmental perturbations in estuaries.
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              A comparative analysis reveals weak relationships between ecological factors and beta diversity of stream insect metacommunities at two spatial levels

              The hypotheses that beta diversity should increase with decreasing latitude and increase with spatial extent of a region have rarely been tested based on a comparative analysis of multiple datasets, and no such study has focused on stream insects. We first assessed how well variability in beta diversity of stream insect metacommunities is predicted by insect group, latitude, spatial extent, altitudinal range, and dataset properties across multiple drainage basins throughout the world. Second, we assessed the relative roles of environmental and spatial factors in driving variation in assemblage composition within each drainage basin. Our analyses were based on a dataset of 95 stream insect metacommunities from 31 drainage basins distributed around the world. We used dissimilarity-based indices to quantify beta diversity for each metacommunity and, subsequently, regressed beta diversity on insect group, latitude, spatial extent, altitudinal range, and dataset properties (e.g., number of sites and percentage of presences). Within each metacommunity, we used a combination of spatial eigenfunction analyses and partial redundancy analysis to partition variation in assemblage structure into environmental, shared, spatial, and unexplained fractions. We found that dataset properties were more important predictors of beta diversity than ecological and geographical factors across multiple drainage basins. In the within-basin analyses, environmental and spatial variables were generally poor predictors of variation in assemblage composition. Our results revealed deviation from general biodiversity patterns because beta diversity did not show the expected decreasing trend with latitude. Our results also call for reconsideration of just how predictable stream assemblages are along ecological gradients, with implications for environmental assessment and conservation decisions. Our findings may also be applicable to other dynamic systems where predictability is low.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                1 September 2016
                2016
                : 11
                : 9
                : e0161082
                Affiliations
                [1 ]Postgraduate program in Ecology and Conservation, State University of Paraíba, Campina Grande, Paraíba, Brazil
                [2 ]Department of Biological Sciences, Integrated Regional University of Alto Uruguai and Missões, Erechim, Rio Grande do Sul, Brazil
                [3 ]MARE–Center for Marine and Environmental Sciences, School of Sciences and Technology, University of Coimbra, Coimbra, Portugal
                [4 ]Department of Biological Sciences, State University of Paraíba, Campina Grande, Paraíba, Brazil
                Auckland University of Technology, NEW ZEALAND
                Author notes

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

                • Conceptualization: CRM LUH JM.

                • Formal analysis: CRM LUH JM.

                • Funding acquisition: JP.

                • Investigation: CRM JM.

                • Methodology: JP.

                • Project administration: JM JP.

                • Resources: JM JP.

                • Supervision: JM JP.

                • Validation: JM LUH.

                • Visualization: CRM LUH JM.

                • Writing – original draft: CRM LUH JM JP.

                • Writing – review & editing: CRM LUH JM JP.

                Article
                PONE-D-16-11442
                10.1371/journal.pone.0161082
                5008822
                27584726
                e88884c9-9711-48c8-9e3a-e6786e6f07c4
                © 2016 Medeiros 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
                : 21 March 2016
                : 31 July 2016
                Page count
                Figures: 4, Tables: 1, Pages: 14
                Funding
                Funded by: Programa Ciências Sem Fronteiras
                Award ID: 173/2012
                Award Recipient :
                Funded by: Conselho Nacional de Pesquisa e Desenvolvimento
                Award ID: 471272/2012-8
                Award Recipient :
                This study was funded by Project No. 173/2012 “What lessons can we draw from the ecological functioning of estuarine systems in Paraiba? Analyses of the effects of natural and anthropogenic disturbances”, under the Brazilian program Science Without Borders (Special Visiting Researcher). LUH received financial support from Conselho Nacional de Pesquisa e Desenvolvimento (CNPq proc. # 471272/2012-8). We are grateful to the Universidade Estadual da Paraíba, Laboratório de Ecologia de Bentos and Laboratório de Ecologia Aquática for technical support, and to Dr. Paulo Lana for his help in identifying the polychaetes. Dr. A. Leyva helped with English editing of the manuscript.
                Categories
                Research Article
                Earth Sciences
                Marine and Aquatic Sciences
                Bodies of Water
                Estuaries
                Physical Sciences
                Chemistry
                Chemical Properties
                Salinity
                Physical Sciences
                Chemistry
                Physical Chemistry
                Chemical Properties
                Salinity
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Biology and Life Sciences
                Conservation Biology
                Conservation Genetics
                Ecology and Environmental Sciences
                Conservation Science
                Conservation Biology
                Conservation Genetics
                Biology and Life Sciences
                Genetics
                Conservation Genetics
                Biology and Life Sciences
                Ecology
                Community Ecology
                Community Structure
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Community Structure
                Earth Sciences
                Seasons
                Biology and Life Sciences
                Ecology
                Biodiversity
                Ecology and Environmental Sciences
                Ecology
                Biodiversity
                Ecology and Environmental Sciences
                Habitats
                Custom metadata
                All relevant data are within the paper.

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