Descriptive and prediction models of phytoplankton in the northern Adriatic

Goran Volf, Nataša Atanasova, Boris Kompare, Robert Precali and Nevenka Ožanić

Ecological Modelling, 2011, vol. 222, issue 14, 2502-2511

Abstract: The northern Adriatic is one of the most productive parts of the Mediterranean Sea due to the nutrient discharges of the Po River. The northwestern part of the northern Adriatic exhibits eutrophic to mesotrophic characteristics with recurrent algal blooms. To contribute to the understanding of eutrophication trends in the northern Adriatic a machine learning tool for induction of models in form of regression trees and in form of set of rules was applied on a data set comprising physical, chemical and biological parameters measured at six stations on the profile from the Po River delta (Italy) to the city of Rovinj on the western coast of Istria (Croatia). Two types of models were successfully elaborated, i.e. (1) the descriptive model to explain the dynamics of phytoplankton concentration in the northern Adriatic as a result of independent environmental variables, and (2) the predictive model to predict the phytoplankton concentration. The descriptive model for phytoplankton dynamics integrates and presents in a user-friendly way the knowledge collected through measurements over a period of 35 years. Such presentation contributes to a better understanding of the ecosystem functioning. The predictive model for phytoplankton concentration successfully forecasts the phytoplankton concentration 14 days in advance.

Keywords: Eutrophication; Northern Adriatic; Machine learning; Phytoplankton descriptive model; Phytoplankton prediction model (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:222:y:2011:i:14:p:2502-2511

DOI: 10.1016/j.ecolmodel.2011.02.013

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