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      Future needs and recommendations in the development of species sensitivity distributions: Estimating toxicity thresholds for aquatic ecological communities and assessing impacts of chemical exposures : Advancing Species Sensitivity Distributions in Ecotoxicology

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          Abstract

          <p class="first" id="P1">A species sensitivity distribution (SSD) is a probability model of the variation of species sensitivities to a stressor, in particular chemical exposure. The SSD approach has been used as a decision support tool in environmental protection and management since the 1980s, and the ecotoxicological, statistical and regulatory basis and applications continue to evolve. This article summarizes the findings of a 2014 workshop held by ECETOC (the European Center for Toxicology and Ecotoxicology of Chemicals) and the UK Environment Agency in Amsterdam, the Netherlands on the ecological relevance, statistical basis, and regulatory applications of SSDs. An array of research recommendations categorized under the topical areas of Use of SSDs, Ecological Considerations, Guideline Considerations, Method Development and Validation, Toxicity Data, Mechanistic Understanding and Uncertainty were identified and prioritized. A rationale for the most critical research needs identified in the workshop is provided. The workshop reviewed the technical basis and historical development and application of SSDs, described approaches to estimating generic and scenario specific SSD-based thresholds, evaluated utility and application of SSDs as diagnostic tools, and presented new statistical approaches to formulate SSDs. Collectively, these address many of the research needs to expand and improve their application. The highest priority work, from a pragmatic regulatory point of view, is to develop a guidance of best practices that could act as a basis for global harmonization and discussions regarding the SSD methodology and tools. </p>

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          Most cited references17

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          Ecotoxicological evaluation of soil quality criteria

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            Species sensitivity distributions: data and model choice

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              Deriving sediment quality guidelines from field-based species sensitivity distributions.

              The determination of predicted no-effect concentrations (PNECs) and sediment quality guidelines (SQGs) of toxic chemicals in marine sediment is extremely important in ecological risk assessment. However, current methods of deriving sediment PNECs or threshold effect levels (TELs) are primarily based on laboratory ecotoxicity bioassays that may not be ecologically and environmentally relevant. This study explores the possibility of utilizing field data of benthic communities and contaminant loadings concurrently measured in sediment samples collected from the Norwegian continental shelf to derive SQGs. This unique dataset contains abundance data for ca. 2200 benthic species measured at over 4200 sampling stations, along with co-occurring concentration data for >25 chemical species. Using barium, cadmium, and total polycyclic aromatic hydrocarbons (PAHs) as examples, this paper describes a novel approach that makes use of the above data set for constructing field-based species sensitivity distributions (f-SSDs). Field-based SQGs are then derived based on the f-SSDs and HCx values [hazardous concentration for x% of species or the (100-x)% protection level] by the nonparametric bootstrap method. Our results for Cd and total PAHs indicate that there are some discrepancies between the SQGs currently in use in various countries and our field-data-derived SQGs. The field-data-derived criteria appear to be more environmentally relevant and realistic. Here, we suggest that the f-SSDs can be directly used as benchmarks for probabilistic risk assessment, while the field-data-derived SQGs can be used as site-specific guidelines or integrated into current SQGs.
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                Author and article information

                Journal
                Integrated Environmental Assessment and Management
                Integr Environ Assess Manag
                Wiley
                15513777
                July 2017
                July 2017
                September 29 2016
                : 13
                : 4
                : 664-674
                Affiliations
                [1 ]Procter & Gamble, Mason Business Center; Mason Ohio USA
                [2 ]US Environmental Protection Agency; Gulf Ecology Division; Gulf Breeze Florida
                [3 ]Department of Mathematical Sciences; Durham University; Durham United Kingdom
                [4 ]European Centre for Ecotoxicology and Toxicology of Chemicals; Brussels Belgium
                [5 ]Syngenta, Jealott's Hill Research Station; Bracknell United Kingdom
                [6 ]Safety & Environmental Assurance Centre; Unilever Colworth; Sharnbrook Bedford United Kingdom
                [7 ]National Institute for Public Health and the Environment; Centre for Sustainability, Environment and Health; Bilthoven The Netherlands
                [8 ]Department of Environmental Science; Radboud University Nijmegen; Nijmegen The Netherlands
                [9 ]Environment Agency; Red Kite House; Howbery Park Wallingford Oxon United Kingdom
                Article
                10.1002/ieam.1841
                6116543
                27531323
                370bb991-9eff-4b14-a6eb-2d5fcbd0791b
                © 2016

                http://doi.wiley.com/10.1002/tdm_license_1.1

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