Literature DB >> 12927555

Extrapolating ecotoxicological measures from small data sets.

David W Pennington1.   

Abstract

Risk screening is commonly conducted using multiple-species ecotoxicological measures such as the HC5, the hazardous concentration at which 5% of species in a specified (eco-)system are assumed to be stressed. This article demonstrates that the estimate of HC5 will not vary significantly among commonly adopted parametric models of species sensitivity distributions. Uncertainty is highly dependent on the number of species tested (sample size) and the relevance of the measurement to the assessment endpoint (e.g., acute measures for assessing chronic endpoints). This article cross-compares estimates of these uncertainties using different empirical and theoretical methods to propose sample to population extrapolation factors. Some theoretical parametric methods for estimating the confidence intervals on the HC(5) can result in large overconservatism, particularly if positive bias reduces uncertainty. The 95th percentile confidence interval on the HC5 estimate given only three chronic test results varies from 5 to 8 x 10(8), depending on the estimation method adopted.

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Year:  2003        PMID: 12927555     DOI: 10.1016/s0147-6513(02)00089-1

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  8 in total

1.  Development of species sensitivity distributions and estimation of HC(5) of organochlorine pesticides with five statistical approaches.

Authors:  Bin Wang; Gang Yu; Jun Huang; Hongying Hu
Journal:  Ecotoxicology       Date:  2008-05-08       Impact factor: 2.823

2.  Inter-comparison of population models for the calculation of radiation dose effects on wildlife.

Authors:  Jordi Vives I Batlle; Tatiana G Sazykina; Alexander Kryshev; Luigi Monte; Isao Kawaguchi
Journal:  Radiat Environ Biophys       Date:  2012-07-13       Impact factor: 1.925

3.  A tiered ecological risk assessment of three chlorophenols in Chinese surface waters.

Authors:  Xiaowei Jin; Jijun Gao; Jinmiao Zha; Yiping Xu; Zijian Wang; John P Giesy; Kristine L Richardson
Journal:  Environ Sci Pollut Res Int       Date:  2011-11-18       Impact factor: 4.223

4.  Non-parametric kernel density estimation of species sensitivity distributions in developing water quality criteria of metals.

Authors:  Ying Wang; Fengchang Wu; John P Giesy; Chenglian Feng; Yuedan Liu; Ning Qin; Yujie Zhao
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-09       Impact factor: 4.223

5.  A comparison of statistical methods for deriving freshwater quality criteria for the protection of aquatic organisms.

Authors:  Liqun Xing; Hongling Liu; Xiaowei Zhang; Markus Hecker; John P Giesy; Hongxia Yu
Journal:  Environ Sci Pollut Res Int       Date:  2013-01-15       Impact factor: 4.223

6.  Tiered aquatic ecological risk assessment of organochlorine pesticides and their mixture in Jiangsu reach of Huaihe River, China.

Authors:  Bin Wang; Gang Yu; Jun Huang; Yajuan Yu; Hongying Hu; Liansheng Wang
Journal:  Environ Monit Assess       Date:  2008-08-13       Impact factor: 2.513

7.  Correcting for Phylogenetic Autocorrelation in Species Sensitivity Distributions.

Authors:  Dwayne Rj Moore; Colleen D Priest; Nika Galic; Richard A Brain; Sara I Rodney
Journal:  Integr Environ Assess Manag       Date:  2019-11-18       Impact factor: 2.992

8.  Relative robustness of NOEC and ECx against large uncertainties in data.

Authors:  Yoshinari Tanaka; Kensei Nakamura; Hiroyuki Yokomizo
Journal:  PLoS One       Date:  2018-11-28       Impact factor: 3.240

  8 in total

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