Literature DB >> 27531323

Future needs and recommendations in the development of species sensitivity distributions: Estimating toxicity thresholds for aquatic ecological communities and assessing impacts of chemical exposures.

Scott Belanger1, Mace Barron2, Peter Craig3, Scott Dyer1, Malyka Galay-Burgos4, Mick Hamer5, Stuart Marshall6, Leo Posthuma7, Sandy Raimondo2, Paul Whitehouse8,9.   

Abstract

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 the European Centre 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. Integr Environ Assess Manag 2017;13:664-674.
© 2016 SETAC. © 2016 SETAC.

Entities:  

Keywords:  Impact; Probabilistic; Research needs; Risk assessment

Mesh:

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Year:  2016        PMID: 27531323      PMCID: PMC6116543          DOI: 10.1002/ieam.1841

Source DB:  PubMed          Journal:  Integr Environ Assess Manag        ISSN: 1551-3777            Impact factor:   2.992


  14 in total

1.  Species sensitivity distributions: data and model choice.

Authors:  J R Wheeler; E P M Grist; K M Y Leung; D Morritt; M Crane
Journal:  Mar Pollut Bull       Date:  2002       Impact factor: 5.553

Review 2.  A review of the tissue residue approach for organic and organometallic compounds in aquatic organisms.

Authors:  Anne E McElroy; Mace G Barron; Nancy Beckvar; Susan B Kane Driscoll; James P Meador; Tom F Parkerton; Thomas G Preuss; Jeffery A Steevens
Journal:  Integr Environ Assess Manag       Date:  2010-12-09       Impact factor: 2.992

3.  A strategy to reduce the use of fish in acute ecotoxicity testing of new chemical substances notified in the European Union.

Authors:  S Jeram; J M Riego Sintes; M Halder; J Baraibar Fentanes; B Sokull-Klüttgen; T H Hutchinson
Journal:  Regul Toxicol Pharmacol       Date:  2005-07       Impact factor: 3.271

4.  Deriving site-specific sediment quality guidelines for Hong Kong marine environments using field-based species sensitivity distributions.

Authors:  Kevin W H Kwok; Anders Bjorgesaeter; Kenneth M Y Leung; Gilbert C S Lui; John S Gray; Paul K S Shin; Paul K S Lam
Journal:  Environ Toxicol Chem       Date:  2008-01       Impact factor: 3.742

5.  Predicted no effect concentration derivation as a significant source of variability in environmental hazard assessments of chemicals in aquatic systems: an international analysis.

Authors:  Thorsten Hahn; Jerry Diamond; Stuart Dobson; Paul Howe; Janet Kielhorn; Gustav Koennecker; Chris Lee-Steere; Inge Mangelsdorf; Uwe Schneider; Yoshio Sugaya; Ken Taylor; Rick Van Dam; Jenny L Stauber
Journal:  Integr Environ Assess Manag       Date:  2013-12-10       Impact factor: 2.992

6.  Developing a foundation for eco-epidemiological assessment of aquatic ecological status over large geographic regions utilizing existing data resources and models.

Authors:  Katherine E Kapo; Christopher M Holmes; Scott D Dyer; Dick de Zwart; Leo Posthuma
Journal:  Environ Toxicol Chem       Date:  2014-05-20       Impact factor: 3.742

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

Authors:  Kenneth M Y Leung; Anders Bjørgesaeter; John S Gray; W K Li; Gilbert C S Lui; Yuan Wang; Paul K S Lam
Journal:  Environ Sci Technol       Date:  2005-07-15       Impact factor: 9.028

Review 8.  Development and application of the SSD approach in scientific case studies for ecological risk assessment.

Authors:  Anastasia Del Signore; A Jan Hendriks; H J Rob Lenders; Rob S E W Leuven; A M Breure
Journal:  Environ Toxicol Chem       Date:  2016-06-30       Impact factor: 3.742

Review 9.  Ecotoxicological evaluation of soil quality criteria.

Authors:  N M van Straalen; C A Denneman
Journal:  Ecotoxicol Environ Saf       Date:  1989-12       Impact factor: 6.291

10.  Residue-based interpretation of toxicity and bioconcentration QSARs from aquatic bioassays: polar narcotic organics.

Authors:  L S McCarty; D Mackay; A D Smith; G W Ozburn; D G Dixon
Journal:  Ecotoxicol Environ Saf       Date:  1993-06       Impact factor: 6.291

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1.  Aquatic toxicity of waterpipe wastewater chemicals.

Authors:  Ronald L Edwards; P Dilip Venugopal; Jason R Hsieh
Journal:  Environ Res       Date:  2021-04-28       Impact factor: 6.498

2.  Application of Interspecies Correlation Estimation (ICE) models and QSAR in estimating species sensitivity to pesticides.

Authors:  S Raimondo; M G Barron
Journal:  SAR QSAR Environ Res       Date:  2019-11-14       Impact factor: 3.000

3.  Ontology-based semantic mapping of chemical toxicities.

Authors:  Rong-Lin Wang; Stephen Edwards; Cataia Ives
Journal:  Toxicology       Date:  2018-11-20       Impact factor: 4.221

4.  No Butts on the Beach: Aquatic Toxicity of Cigarette Butt Leachate Chemicals.

Authors:  P Dilip Venugopal; Shannon K Hanna; Gregory G Gagliano; Hoshing W Chang
Journal:  Tob Regul Sci       Date:  2021-01

5.  Modeling the Sensitivity of Aquatic Macroinvertebrates to Chemicals Using Traits.

Authors:  Sanne J P Van den Berg; Hans Baveco; Emma Butler; Frederik De Laender; Andreas Focks; Antonio Franco; Cecilie Rendal; Paul J Van den Brink
Journal:  Environ Sci Technol       Date:  2019-04-30       Impact factor: 9.028

6.  How to account for the uncertainty from standard toxicity tests in species sensitivity distributions: An example in non-target plants.

Authors:  Sandrine Charles; Dan Wu; Virginie Ducrot
Journal:  PLoS One       Date:  2021-01-07       Impact factor: 3.240

7.  Estimating species sensitivity distributions on the basis of readily obtainable descriptors and toxicity data for three species of algae, crustaceans, and fish.

Authors:  Yuichi Iwasaki; Kiyan Sorgog
Journal:  PeerJ       Date:  2021-03-03       Impact factor: 2.984

8.  Comparison of Species Sensitivity Distributions for Sediment-Associated Nonionic Organic Chemicals Through Equilibrium Partitioning Theory and Spiked-Sediment Toxicity Tests with Invertebrates.

Authors:  Kyoshiro Hiki; Yuichi Iwasaki; Haruna Watanabe; Hiroshi Yamamoto
Journal:  Environ Toxicol Chem       Date:  2022-01-20       Impact factor: 4.218

9.  Can Chemical Toxicity in Saltwater Be Predicted from Toxicity in Freshwater? A Comprehensive Evaluation Using Species Sensitivity Distributions.

Authors:  Miina Yanagihara; Kyoshiro Hiki; Yuichi Iwasaki
Journal:  Environ Toxicol Chem       Date:  2022-05-27       Impact factor: 4.218

10.  Toxicity thresholds of three insecticides and two fungicides to larvae of the coral Acropora tenuis.

Authors:  Florita Flores; Sarit Kaserzon; Gabriele Elisei; Gerard Ricardo; Andrew P Negri
Journal:  PeerJ       Date:  2020-07-28       Impact factor: 2.984

  10 in total

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