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Species Sensitivity Distributions Revisited: A Critical Appraisal

Forbes, Valery E., Calow, Peter·2002·Human and Ecological Risk Assessment: An International Journal

Abstract

We revisit the assumptions associated with the derivation and application of species sensitivity distributions (SSDs). Our questions are (1) Do SSDs clarify or obscure the setting of ecological effects thresholds for risk assessment? and (2) Do SSDs reduce or introduce uncertainty into risk assessment? Our conclusions are that if we could determine a community sensitivity distribution, this would provide a better estimate of an ecologically relevant effects threshold and therefore be an improvement for risk assessment. However, the distributions generated are typically based on haphazard collections of species and endpoints and by adjusting these to reflect more realistic trophic structures we show that effects thresholds can be shifted but in a direction and to an extent that is not predictable. Despite claims that the SSD approach uses all available data to assess effects, we demonstrate that in certain frequently used applications only a small fraction of the species going into the SSD determine the effects threshold. If the SSD approach is to lead to better risk assessments, improvements are needed in how the theory is put into practice. This requires careful definition of the risk assessment targets and of the species and endpoints selected for use in generating SSDs.

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Metadata

Authors
Forbes, V. E., & Calow, P.
Venue
Human and Ecological Risk Assessment: An International Journal
Published
2002-07
Volume
8
Issue
3
Pages
473-492
ISSN
  • 1080-7039 (ISSN-L)
  • 1549-7860
OpenAlex
W2024195342
Cited by
281
References
0
FWCI
7.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Species Sensitivity Distributions Revisited: A Critical Appraisal. https://app.cochat.ai/papers/10.1080/10807030290879781
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Forbes, V. E., & Calow, P. (2002). Species Sensitivity Distributions Revisited: A Critical Appraisal. Human and Ecological Risk Assessment: An International Journal. https://doi.org/10.1080/10807030290879781

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