Species sensitivity distributions revisited: A critical appraisal

被引:194
|
作者
Forbes, VE
Calow, P
机构
[1] Roskilde Univ, Dept Chem & Life Sci, DK-4000 Roskilde, Denmark
[2] Univ Sheffield, Dept Anim & Plant Sci, Sheffield S10 2UQ, S Yorkshire, England
来源
关键词
application factors; extrapolation; probabilistic methods; risk assessment; uncertainty;
D O I
10.1080/10807030290879781
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
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.
引用
收藏
页码:473 / 492
页数:20
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