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      Ocean acidification effects on mesozooplankton community development: Results from a long-term mesocosm experiment

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          Abstract

          Ocean acidification may affect zooplankton directly by decreasing in pH, as well as indirectly via trophic pathways, where changes in carbon availability or pH effects on primary producers may cascade up the food web thereby altering ecosystem functioning and community composition. Here, we present results from a mesocosm experiment carried out during 113 days in the Gullmar Fjord, Skagerrak coast of Sweden, studying plankton responses to predicted end-of-century pCO 2 levels. We did not observe any pCO 2 effect on the diversity of the mesozooplankton community, but a positive pCO 2 effect on the total mesozooplankton abundance. Furthermore, we observed species-specific sensitivities to pCO 2 in the two major groups in this experiment, copepods and hydromedusae. Also stage-specific pCO 2 sensitivities were detected in copepods, with copepodites being the most responsive stage. Focusing on the most abundant species, Pseudocalanus acuspes, we observed that copepodites were significantly more abundant in the high- pCO 2 treatment during most of the experiment, probably fuelled by phytoplankton community responses to high- pCO 2 conditions. Physiological and reproductive output was analysed on P. acuspes females through two additional laboratory experiments, showing no pCO 2 effect on females’ condition nor on egg hatching. Overall, our results suggest that the Gullmar Fjord mesozooplankton community structure is not expected to change much under realistic end-of-century OA scenarios as used here. However, the positive pCO 2 effect detected on mesozooplankton abundance could potentially affect biomass transfer to higher trophic levels in the future.

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          Reduced calcification of marine plankton in response to increased atmospheric CO2.

          The formation of calcareous skeletons by marine planktonic organisms and their subsequent sinking to depth generates a continuous rain of calcium carbonate to the deep ocean and underlying sediments. This is important in regulating marine carbon cycling and ocean-atmosphere CO2 exchange. The present rise in atmospheric CO2 levels causes significant changes in surface ocean pH and carbonate chemistry. Such changes have been shown to slow down calcification in corals and coralline macroalgae, but the majority of marine calcification occurs in planktonic organisms. Here we report reduced calcite production at increased CO2 concentrations in monospecific cultures of two dominant marine calcifying phytoplankton species, the coccolithophorids Emiliania huxleyi and Gephyrocapsa oceanica. This was accompanied by an increased proportion of malformed coccoliths and incomplete coccospheres. Diminished calcification led to a reduction in the ratio of calcite precipitation to organic matter production. Similar results were obtained in incubations of natural plankton assemblages from the north Pacific ocean when exposed to experimentally elevated CO2 levels. We suggest that the progressive increase in atmospheric CO2 concentrations may therefore slow down the production of calcium carbonate in the surface ocean. As the process of calcification releases CO2 to the atmosphere, the response observed here could potentially act as a negative feedback on atmospheric CO2 levels.
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            Coastal ocean acidification: The other eutrophication problem

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              A guide to statistical analysis in microbial ecology: a community-focused, living review of multivariate data analyses.

              The application of multivariate statistical analyses has become a consistent feature in microbial ecology. However, many microbial ecologists are still in the process of developing a deep understanding of these methods and appreciating their limitations. As a consequence, staying abreast of progress and debate in this arena poses an additional challenge to many microbial ecologists. To address these issues, we present the GUide to STatistical Analysis in Microbial Ecology (GUSTA ME): a dynamic, web-based resource providing accessible descriptions of numerous multivariate techniques relevant to microbial ecologists. A combination of interactive elements allows users to discover and navigate between methods relevant to their needs and examine how they have been used by others in the field. We have designed GUSTA ME to become a community-led and -curated service, which we hope will provide a common reference and forum to discuss and disseminate analytical techniques relevant to the microbial ecology community. © 2014 The Authors. FEMS Microbiology Ecology published by John Wiley & Sons Ltd on behalf of Federation of European Microbiological Societies.
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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
                14 April 2017
                2017
                : 12
                : 4
                : e0175851
                Affiliations
                [1 ]Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Biologische Anstalt Helgoland, Helgoland, Germany
                [2 ]Norwegian Polar Institute, Framcentre, Tromsø, Norway
                [3 ]GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
                [4 ]National Oceanography Centre (NOC) University of Southampton, Southampton, United Kingdom
                [5 ]Sintef Ocean AS, Marine Resource Technology, Trondheim, Norway
                [6 ]FB2, University of Bremen, Bremen, Germany
                University of Connecticut, UNITED STATES
                Author notes

                Competing Interests: AMM is employed by SINTEF Ocean. There are no patents, products in development or marketed products to declare. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials.

                • Conceptualization: MB UR AMM MAM PT.

                • Data curation: MAM HGH LTB ME PT JT.

                • Formal analysis: SAF MAM.

                • Funding acquisition: MB UR AMM.

                • Investigation: MAM HGH UE LTB ME PT JAFL.

                • Methodology: MB UR MAM.

                • Project administration: MB UR MAM.

                • Supervision: MB.

                • Validation: MB MAM PT ME LTB HGH JAFL UE.

                • Visualization: SAF MAM.

                • Writing – original draft: MAM.

                • Writing – review & editing: MAM MB SAF ME LTB HGH JAFL UE AMM PT JT UR.

                Article
                PONE-D-16-47135
                10.1371/journal.pone.0175851
                5391960
                28410436
                08e86c45-9dd5-4b73-b969-19adeaf8ad03
                © 2017 Algueró-Muñiz 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
                : 28 November 2016
                : 31 March 2017
                Page count
                Figures: 7, Tables: 4, Pages: 21
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100002347, Bundesministerium für Bildung und Forschung;
                Award ID: FKZ 03F0655A
                Funded by: funder-id http://dx.doi.org/10.13039/501100002347, Bundesministerium für Bildung und Forschung;
                Award ID: FKZ 03F0728B
                Funded by: funder-id http://dx.doi.org/10.13039/501100001725, Royal Swedish Academy of Sciences;
                Award Recipient :
                Financial support for this study was provided by the German Ministry of Education and Research through phase II (BMBF, FKZ 03F0655A) and III (BMBF, FKZ 03F0728B) of the BIOACID (Biological Impacts of Ocean ACIDification) project and the Swedish Academy of Sciences. SINTEF Ocean provided support in the form of salaries for author AMM, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.
                Categories
                Research Article
                Research and Analysis Methods
                Research Facilities
                Mesocosms
                Biology and Life Sciences
                Organisms
                Animals
                Invertebrates
                Arthropoda
                Crustaceans
                Copepods
                Biology and Life Sciences
                Developmental Biology
                Life Cycles
                Larvae
                Biology and Life Sciences
                Organisms
                Plants
                Algae
                Phytoplankton
                Biology and Life Sciences
                Organisms
                Animals
                Invertebrates
                Plankton
                Phytoplankton
                Biology and Life Sciences
                Ecology
                Marine Ecology
                Ecology and Environmental Sciences
                Ecology
                Marine Ecology
                Biology and Life Sciences
                Marine Biology
                Marine Ecology
                Earth Sciences
                Marine and Aquatic Sciences
                Marine Biology
                Marine Ecology
                Biology and Life Sciences
                Ecology
                Community Ecology
                Food Web Structure
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Food Web Structure
                Physical Sciences
                Chemistry
                Chemical Compounds
                Carbon Dioxide
                People and Places
                Population Groupings
                Age Groups
                Adults
                Custom metadata
                All mesozooplankton abundance files are available from the PANGEA database (accession number 871233) https://doi.pangaea.de/10.1594/PANGAEA.871233.

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