I attended the AMEMR (Advances in Marine Ecosystem Research), held from the 30th June until the 3rd July in Plymouth.
Here I would like to share my experience with you all.
The Symposium was organised by the Plymouth Marine Laboratory (PML), and the program of talks and posters was based around the following four themes :
1) Ecosystem and their interactions;
2) Projections, prediction and confidence;
3) Novel approaches;
4) Exploiting models in the context of ecosystem services, policy and management.
Moreover I had the chance to present two posters:
– The first one related to my PhD on “Modelling the DOC seasonal cycle in the Western English Channel” (if interested you can find it on ENV corridor wall).
– The second one related to my internship conducted at the PML on “Predictability of biogeochemical variables in a complex shelf-sea site by means of ocean colour data assimilation”.
To begin it is worth saying that all the talks were very interesting and covered the wide aspects of modeling, ranging from the use of models in fishery for example in order to predict larval dispersion, to the use of models to understand and predict a future scenario of the marine ecosystem (both) on a regional and global scale.
I was particularly interested in the following talks:
Dr. Artioli et al. from PML presented a talk about the possibility to use a modified version of the ERSEM in order to study the phytoplankton diversity and invasive species. This version, called “DivERSEM”, taking into account more diverse phytoplankton community, it should be able to model the phytoplankton diversity and study how climate change could affect the susceptibility of the European regional seas to invasion from a non indigenous species of phytoplankton. From the model outcomes they have found that climate change could induce a shift in the phytoplankton community with an increase on the dominance of the invasive species.
Dr. Ciavatta et al. from PML presented a work on how the assimilation of optical observations from satellite can improve the simulation of marine ecosystem models. In particular they used a Data Assimilation (DA) technique called Ensemble Kalman filter in order to evaluate whether the assimilation of remotely-sensed diffuse attenuation coefficient data into a marine ecosystem model can improve the simulation of key biogeochemical variables and processes. Their results show that the assimilation of remotely-sensed optical properties can improve the simulation of biogeochemical and optical variables.
Dr. Sankar et al. from Nansen Environmental Research Centre (India) presented a work on sensitivity analysis of ERSEM. They investigated if the simulation of the oxygen minimum zone is affected by the changes in biogeochemical model parameters. They implemented the 1-D coupled physical-biogeochemical model GOTM-ERSEM in the central Arabian Sea for one year simulation. They used 7 groups of parameters characterizing different model processes, and they found that the Q10 parameters (representing in the model how growth and respiration respond to temperature changes), have the highest sensitivity index. This work opens a future perspective in the use simulations of dissolved oxygen as an ecological indicator of climate changes.
Dr. Saux Picart et al. from PML presented a talk about the possibility to use ecosystem models to detect the risk of eutrophication in the North Sea. They argue that within the context of the Marine Strategy Framework Directive, using models could enable to overcome the lack of in situ data and provide at the same time a powerful tool for ecosystem-based management and policy makers. To this end they combined the model output with in situ data. Their model forecast for the next future (to 2040) has predicted a sensitivity to anthropogenic rivers loads than climate change in the North Sea.
In conclusion by attending the AMEMRsymposium I had the great chance to present my poster with the data I obtained from my modelling experiments. Thissymposium helped me to learn more about modelling and at the same time developing my communication and dissemination skills. Furthermore AMEMR gave me the chance to get in touch with the modelling community and scientists from around the world and establish a relationship for future scientific collaboration.