Meta-analysis and modeling
The aims of this package are: (a) processing and meta-analysis of data from earlier sampling missions around the Greek coastal area covering both the water column and the benthic system, accompanied by measurements of geochemical parameters and (b) modeling to investigate the system behavior under different environmental conditions.
-A preparatory workshop to organize the protocol for data collection and to develop a list of hypotheses to be tested by the data analysis
-The search and formatting of data in accordance with the above protocol from previous projects of HCMR and Univ. of Crete and those of other research groups wishing to participate in this part of the study.
-The search and identification of sufficient resolution satellite images and of suitable spatial and temporal coverage and extraction of the data required.
-The workshop for meta-analysis of data involving scientists responsible for different data sets.
-The drafting of a research paper based on the results of the meta-analysis
-The compilation of literature and the original design of mathematical models to describe the basic ecological processes of eutrophication and the coupling of pelagic and benthic ecosystem. The models will include different types of planktonic/benthic organisms and bacteria, grouped into categories in the water column and the sediment. The quantification of mineralization rates and flows of energy and nutrients between planktonic groups and between the water column and the sediment will be based on the theory of Dynamic Energy Budgets DEB models (Kooijman, 2000). The selection of organisms and nutrients that will be included in the model will be based on the preliminary mesocosm experiments and bibliographic information.
-The development of the benthic model to describe the state variables and benthic processes.
-The development of the pelagic model to describe the state variables and pelagic processes.
-The coupling of benthic and pelagic model. The integrated benthic-pelagic model will be validated with experimental data generated by the WPs 1, 2 and 3 combined, if necessary, with bibliography data. The most important parameters for regime shift and hypoxia will be determined through sensitivity analysis.