Ocean and marine ecosystems provide a range of valuable services to humans, including benefits such as carbon sequestration, whose economic value are as yet poorly understood. This paper presents a novel contribution to the valuation of carbon sequestration services in marine ecosystems with an application to the Mediterranean Sea. We combine a state-of-the-art biogeochemical model with various estimates of the social cost of carbon emissions to provide a spatially explicit characterization of the current flow of values that are attributable to the various sequestration processes, including the biological component. Using conservative estimates of the social cost of carbon, we evaluate the carbon sequestration value flows over the entire basin to range between 127 and 1722 million €/year. Values per unit area range from −135 to 1000 €/km2 year, with the exclusive economic zone of some countries acting as net carbon sources. Whereas the contribution of physical processes can be either positive or negative, also depending on the properties of incoming Atlantic water, the contribution of biological processes to the marine “blue carbon” sequestration is always positive, and found to range between 100 to 1500 million €/year for the whole basin
10 July 2009 in Journal of Geophysical Research: Oceans
The paper describes a bioenergetic individual-based model of the growth of Tapes philippinarum, a bivalve mollusc reared in the lagoons of the Northern Adriatic Sea. The model, which simulates the evolution of the size of an average individual, has been calibrated using different sets of experimental data collected in the lagoons of Venice and Gore, and has been validated against a 3 yr long, independent series of field measurements of the average size of a cohort. The formulations here proposed for describing the dependence of the gain and loss terms on water temperature and food ration have not been employed in relation to this species before, and allow one to apply the model also in eutrophic conditions. Possible applications of the model as a tool for site selection and management implementations are illustrated