MarinEcoMetrics is a non-official chapter of Environmetrics devoted to marine ecology studies.
The main goal is promoting research studies on marine ecology and sustainability based on the implementation and application of numerical and statistical tools.
In particular, studies within a marinecometrics framework should lead toward or make easier to fulfill the following targets:
— Identifying critical components of the ecosystem and their likely significant interactions.
— Quantifying stock and fluxes of matter and energy driving ecosystems functioning.
— Understanding past (i.e. historical data analysis, hindcast modelling), present (i.e. real time observations) and future (i.e. forecast modelling) of marine ecosystems.
Zebra seabream individuals associated to a mooring line of the CEAB's ocenographic buoy in NW Mediterranean Sea
Nitrogen-based biogeochemical model of the pelagic ecosystem
MarinEcoMetrics is a project built from experiences on a number of topical studies on marine biogeochemistry (stocks and fluxes of nitrogen), plankton (phytoplankton biomass), and fisheries ecology.
This project is to be consolidated. Some progresses about it at different scales, from field observations to statistical and numerical modelling have been made so far.
The oceanographic observing system for the Catalan Sea (OOCS) with a fixed observation station in the upper slope in NW Mediterranean Sea, support the project with substantial technical, scientific and academic activities all the year round.
Historical oceanographic data along with numerical ecological tools implemented by team members of the Observatory at CEAB-CSIC in Blanes, are available for potential students interested on making use of them as a part of their research training programs in marine science.
The Heisenberg's uncertainty principle can apply to marine ecosystems nature. Albert Einstein quoted that: "Reality is merely an illusion, albeit a very persistent one".
We will never know what exactly and how the interactions between living organisms and the environment take place. However, a good approach to those interactions can be reached. Models can help a lot to that.
Probabilistic uncertainty is a research field to be explored and improved within the framework of numerical simulations in marine ecology models. The present project aims at contributing to this subject matter.
Applying existing numerical and statistical tools often used in fields such as medicine, sociology, etc. to solve ecological problems can be quite useful.
Developing new numerical and statistical tools and improving the existing ones for answering questions regarding ecological quantities is a subject to be substantially contributed.
Fuzzy diel structure of benthic species