Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA 93106, USA.
Ecotoxicology. 2010 Jan;19(1):38-47. doi: 10.1007/s10646-009-0384-4. Epub 2009 Jul 24.
We investigate the effectiveness of a sublethal toxic effect model embedded in Dynamic Energy Budget (DEB) theory for the analysis of field data. We analyze the performance of two species of mussels, Mytilus galloprovincialis and M. californianus, near a diffuser discharging produced water in the Southern California Bight, California. Produced water is a byproduct of oil production consisting of fossil water together with compounds added during the extraction process, and generally contains highly elevated levels of pollutants relative to sea water. Produced water negatively affects the production of somatic and reproductive biomass in both mussel species; we show that these negative effects can be quantified with our DEB-based modeling framework through the estimation of toxic effect scaling parameters. Our analyses reveal that the toxic impact of produced water on growth and reproduction of M. californianus is substantially higher than for M. galloprovincialis. Projections of the expected lifetime production of gonad biomass indicate that the environmental impact of produced water can be as large as 100%, whereas short-term assessment without the use of DEB theory projects a maximum effect of only 30%.
我们研究了嵌入动态能量预算 (DEB) 理论中的亚致死毒性效应模型在分析现场数据方面的有效性。我们分析了加利福尼亚南加州湾附近一个扩散器排放采出水处两种贻贝（贻贝和加利福尼亚贻贝）的性能。采出水是石油生产的副产品，由化石水和提取过程中添加的化合物组成，通常含有比海水高得多的污染物水平。采出水对两种贻贝的体生产物和生殖生物量的产生都有负面影响；我们表明，这些负面影响可以通过我们基于 DEB 的建模框架来量化，通过估计毒性效应缩放参数。我们的分析表明，采出水对加利福尼亚贻贝生长和繁殖的毒性影响远高于贻贝。对预期性腺生物量一生产量的预测表明，采出水的环境影响可能高达 100%，而不使用 DEB 理论的短期评估预测最大影响仅为 30%。
