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Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: First derivation of predicted-no-effect values for freshwater and terrestrial ecosystems exposed to radioactive substances
Author(s): Garnier-Laplace, Jacqueline
Della-Vedova, Claire
Gilbin, Rodolphe
Copplestone, David
Hingston, Joanne L
Ciffroy, Philippe
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Issue Date: 15-Oct-2006
Date Deposited: 10-Aug-2012
Citation: Garnier-Laplace J, Della-Vedova C, Gilbin R, Copplestone D, Hingston JL & Ciffroy P (2006) First derivation of predicted-no-effect values for freshwater and terrestrial ecosystems exposed to radioactive substances. Environmental Science and Technology, 40 (20), pp. 6498-6505.
Abstract: The FASSET Radiation Effects Database (FRED) constitutes a unique structured resource of the biological effects of ionizing radiation on non-human species mainly from temperate ecosystems, encompassing 26,000 primary data entries. Quality-assessed data were extracted from FRED and dose−effect relationships were constructed to provide estimates of ED50 and EDR10. These estimates are Doses (or Dose Rates) related to the percent change in the average level of the endpoint for a particular effect (50% or 10% for acute or chronic exposure regimes, respectively). Acute and chronic Species Sensitivity Distributions (SSDs) were built on the basis of these data sets, and the Assessment Factor Method (AFM) was applied when data were too scarce. The Hazardous Dose corresponding to 5% of species acutely affected at the 50% effect level varied from 1 to 5.5 Gy according to the ecosystem. For chronic γ external irradiation exposure, no-effect values varied from 10 μGy/h for freshwaters through application of the AFM to 67 μGy/h for terrestrial ecosystems, corresponding to the 5th percentile of the non-weighted SSD (vs 229 μGy/h when trophic weights are applied). These values are higher by ca. ×50 to ×100 than the upper bound of natural background, and lower than dose rates triggering effects at individual levels on contaminated sites.
DOI Link: 10.1021/es0606531
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