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      Macrofauna community patterns in a Chiloe Island channel used intensely for aquaculture: the ecological status of its benthic environment

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          Abstract

          Abstract Background: It is known that aquaculture may produce negative environmental effects on marine ecosystems. Southern Chile is one of the most important salmon and mussel-producing areas in the world. Here we assess the ecological status of benthic communities near farming centers in Caucahue Channel, Chiloe, which has been used intensely for salmon and mussel production for 30 years. Methods: The macrofauna, sediments and water column were characterized at distances of 5 to 100 m from three salmon and three mussel-producing centers. Information was also obtained from reference sites 500 to 3000 m from these aquaculture farms. The macrofauna and environmental conditions during winter were analyzed using uni- and multivariate analysis and the AZTI Marine Biotic Index (AMBI) as an indicator of benthic community condition. Results: (i) There is a high degree of spatial dissimilarity in macrofauna and environmental variables among sampling sites and types of environments (far from or near farming centers) and between the northern and southern areas of the channel; (ii) sediment structure (mean grain size and percentage of total organic matter) correlated with the observed dissimilarities in macrofauna communities; and (iii) the level of perturbation according to AMBI was heterogeneous, with sites in the undisturbed/normal range to moderately disturbed/polluted. Conclusions: We found a high spatial dissimilarity in benthic macrofauna and environmental variables among sampling sites, environmental types and between the northern and southern areas of the channel. AMBI and multivariate community-environment analysis are useful tools to define the level of perturbation of a geographic area at different spatial scales, using all the ecological information from each sample and replicates.

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          A new method for non-parametric multivariate analysis of variance

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            FITTING MULTIVARIATE MODELS TO COMMUNITY DATA: A COMMENT ON DISTANCE-BASED REDUNDANCY ANALYSIS

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              Multivariate dispersion as a measure of beta diversity.

              Beta diversity can be defined as the variability in species composition among sampling units for a given area. We propose that it can be measured as the average dissimilarity from individual observation units to their group centroid in multivariate space, using an appropriate dissimilarity measure. Differences in beta diversity among different areas or groups of samples can be tested using this approach. The choice of transformation and dissimilarity measure has important consequences for interpreting results. For kelp holdfast assemblages from New Zealand, variation in species composition was greater in smaller holdfasts, while variation in relative abundances was greater in larger holdasts. Variation in community structure of Norwegian continental shelf macrobenthic fauna increased with increases in environmental heterogeneity, regardless of the measure used. We propose a new dissimilarity measure which allows the relative weight placed on changes in composition vs. abundance to be specified explicitly.
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                Author and article information

                Journal
                rchnat
                Revista chilena de historia natural
                Rev. chil. hist. nat.
                Sociedad de Biología de Chile (Santiago, , Chile )
                0716-078X
                2021
                : 94
                : 1
                Affiliations
                [1] Concepción Bío-Bío orgnameUniversidad de Concepción orgdiv1Interdisciplinary Center for Aquaculture Research Chile
                [2] Concepción Bío-Bío orgnameUniversidad de Concepción orgdiv1Laboratorio de Investigación en Ecosistemas Acuáticos orgdiv2Facultad de Ciencias Naturales & Oceanográficas Chile
                [3] Concepción Bío-Bío orgnameUniversidad de Concepción orgdiv1Facultad de Ciencias Naturales & Oceanográficas orgdiv2Departamento de Oceanografía Chile
                Article
                S0716-078X2021000100201 S0716-078X(21)09400000201
                10.1186/s40693-021-00098-z
                e5ee2378-48a1-4a24-b501-c3a159bc6384

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

                History
                : 13 January 2021
                : 06 July 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 76, Pages: 0
                Product

                SciELO Chile

                Categories
                RESEARCH

                Salmon farming,Multivariate analysis,AMBI,Benthic community,Aquaculture environmental impact,Mussel farming

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