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      Functional responses of Daphnia magna to zero-mean flow turbulence

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      Scientific Reports
      Nature Publishing Group UK

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          Abstract

          Daphnia are important to understanding the biogeochemistry of aquatic ecosystems, mainly because of their ability to filter bacteria, algae and inorganic particles as well. Although there are many studies on the general effects that biotic and abiotic stressors, increased temperature and hypoxia, salinity, metals, pharmaceuticals, pesticides, etc., have on Daphnia populations, little is known about the impact elevated turbulence has. Here, we show that turbulence affects Daphnia magna survival, swimming behaviour and filtering capacity. Our data demonstrate that altering their habitat by induced mixing from turbulence, induces an increased filtering capacity of the Daphnia magna individuals, provided the level of background turbulence (defined by the dissipation of turbulent kinetic energy) is lower than ε = 0.04 cm 2 s −3. The filtering capacity reduced exponentially with increasing ε, and at ε > 1 cm 2 s −3 both mobility and filtration were suppressed and eventually led to the death of all the Daphnia magna individuals.

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          Spatially decaying turbulence and its relation to mixing across density interfaces

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            Mixing across an interface due to turbulence generated by an oscillating grid

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              An integrated multi-disciplinary approach for studying multiple stressors in freshwater ecosystems: Daphnia as a model organism.

              The increased overexploitation of freshwater ecosystems and their extended watersheds often generates a cascade of anthropogenic stressors (e.g., acidification, eutrophication, metal contamination, Ca decline, changes in the physical environment, introduction of invasive species, over-harvesting of resources). The combined effect of these stressors is particularly difficult to study, requiring a coordinated multi-disciplinary effort and insights from various sub-disciplines of biology, including ecology, evolution, toxicology, and genetics. It also would benefit from a well-developed and broadly accepted model systems. The freshwater crustacean Daphnia is an excellent model organism for studying multiple stressors because it has been a chosen focus of study in all four of these fields. Daphnia is a widespread keystone species in most freshwater ecosystems, where it is routinely exposed to a multitude of anthropogenic and natural stressors. It has a fully sequenced genome, a well-understood life history and ecology, and a huge library of responses to toxicity. To make the case for its value as a model species, we consider the joint and separate effects of natural and three anthropogenic stressors-climatic change, calcium decline, and metal contaminants on daphniids. We propose that integrative approaches marrying various subfields of biology can advance our understanding of the combined effects of stressors. Such approaches can involve the measuring of multiple responses at several levels of biological organization from molecules to natural populations. For example, novel interdisciplinary approaches such as transcriptome profiling and mutation accumulation experiments can offer insights into how multiple stressors influence gene transcription and mutation rates across genomes, and, thus, help determine the causal mechanism between environmental stressors and population/community effects as well as long-term evolutionary patterns.
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                Author and article information

                Contributors
                teresa.serra@udg.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                7 March 2019
                7 March 2019
                2019
                : 9
                : 3844
                Affiliations
                ISNI 0000 0001 2179 7512, GRID grid.5319.e, Department of Physics, , University of Girona, ; 17003 Girona, Spain
                Author information
                http://orcid.org/0000-0002-6075-5849
                http://orcid.org/0000-0001-6547-1004
                Article
                40777
                10.1038/s41598-019-40777-2
                6405858
                30846810
                63a7c2f6-9e0c-4ced-aece-71633616a9ff
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 June 2018
                : 21 February 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010661, EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020);
                Award ID: Ares(2016)1770486
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100008722, Universitat de Girona (University of Girona);
                Award ID: MPCU2016
                Award ID: MPCUdG2016
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100007601, EC | Horizon 2020 (Horizon 2020 - Research and Innovation Framework Programme);
                Award ID: Ares(2016)1770486
                Award Recipient :
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