Title :
Methodology for Impact Assessment of Ocean CO2 Sequestration on Deep-sea Organisms
Author :
Kita, Jun ; Watanabe, Yuji
Author_Institution :
Demonstration Lab., Marine Ecology Res. Inst., Kashiwazaki
Abstract :
In order to assess the biological impact of ocean CO2 sequestration, we present a methodology to quantify impacts of elevated CO2 concentration on marine organisms using existing biological data and discuss required research work for the future. For a quantitative assessment of deep-sea CO2 injection (mid- depth type) impacts on marine organisms, we estimated No Observed Effect Concentration (NOEC) of CO2 for copepods. Our preliminary analysis indicated that the NOECco2 for copepods including deep-sea species is ap Delta3,000 ppm. However, further data are needed on acute, chronic and ecosystem impacts for applying reduced Assessment Factor (AF) which is essential for reliable estimation of Predicted No Effect Concentration (PNECco2). For an acute impact assessment, careful consideration on differences in sensitivities to CO2 between shallow and deep- sea species is required. For the purpose of accurate chronic impact assessment, long-term experiments on sub-lethal impacts are required. However, ecosystem impacts would be difficult to predict based only on laboratory experiments and field experiments are necessary for confirming expected consequences from laboratory experiments and for lessening the uncertainties of extrapolation.
Keywords :
carbon compounds; climate mitigation; oceanographic techniques; risk analysis; Assessment Factor; CO2; No Observed Effect Concentration; Predicted No Effect Concentration; biological impact assessment; carbon dioxide concentration; chronic impact assessment; copepods; deep-sea carbon dioxide injection; deep-sea organisms; deep-sea species; ecosystem impact assessment; marine organisms; ocean carbon dioxide sequestration; sub-lethal impacts; Atmospheric modeling; Biological system modeling; Economic forecasting; Ecosystems; Environmental economics; Environmental factors; Laboratories; Oceans; Organisms; Predictive models;
Conference_Titel :
OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-2125-1
Electronic_ISBN :
978-1-4244-2126-8
DOI :
10.1109/OCEANSKOBE.2008.4530962