Spatial Pattern Dynamics in Aquatic Ecosystem Modelling

<p>In this work several modelling approaches are explored to represent spatial pattern dynamics of aquatic populations in aquatic ecosystems by the combination of models knowledge and data in different scales. </p><p>It is shown that including spatially distributed inputs retrieved from Remote Sensing images a conventional physically-based Harmful Algal Bloom model can be enhanced. Also Cellular Automata based models using high resolution photographs prove to be good in representing aquatic plant growth. Multi-Agent Systems can capture well the spatial patterns exhibited in GIS density maps. A synthesis modelling framework was developed to include biological/ecological growth and diffusive processes and local effects in conventional modelling framework. The results of the complementary modelling paradigms investigated in this research can be of help in achieving a sustainable environmental management strategy.</p>