II. Species sensitivity distributions based on biomarkers and whole organism responses for integrated impact and risk assessment criteria.

Autor: Sanni S; IRIS - International Research Institute of Stavanger, P.O. Box 8046, N-4068, Stavanger, Norway; University of Stavanger, Faculty of Science and Technology, Department of Mathematics and Natural Science, N-4036 Stavanger, Norway. Electronic address: steinar.sanni@iris.no., Lyng E; IRIS - International Research Institute of Stavanger, P.O. Box 8046, N-4068, Stavanger, Norway., Pampanin DM; IRIS - International Research Institute of Stavanger, P.O. Box 8046, N-4068, Stavanger, Norway; University of Stavanger, Faculty of Science and Technology, Department of Mathematics and Natural Science, N-4036 Stavanger, Norway., Smit MGD; Shell Global Solutions International BV, PO Box 60, 2280 AB, Rijswijk, The Netherlands.
Jazyk: angličtina
Zdroj: Marine environmental research [Mar Environ Res] 2017 Jun; Vol. 127, pp. 11-23. Date of Electronic Publication: 2016 Dec 26.
DOI: 10.1016/j.marenvres.2016.12.003
Abstrakt: The aim of this paper is to bridge gaps between biomarker and whole organism responses related to oil based offshore discharges. These biomarker bridges will facilitate acceptance criteria for biomarker data linked to environmental risk assessment and translate biomarker results to higher order effects. Biomarker based species sensitivity distributions (SSD biomarkers ) have been constructed for relevant groups of biomarkers based on laboratory data from oil exposures. SSD curves express the fraction of species responding to different types of biomarkers. They have been connected to SSDs for whole organism responses (WORs) constructed in order to relate the SSD biomarkers to animal fitness parameters that are commonly used in environmental risk assessment. The resulting SSD curves show that biomarkers and WORs can be linked through their potentially affected fraction of species (PAF) distributions, enhancing the capability to monitor field parameters with better correlation to impact and risk assessment criteria and providing improved chemical/biological integration.
(Copyright © 2016 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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