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Role of competition processes on phytoplankton dynamics through advanced data assimilation and adaptive modeling

AutorJordi, Antoni ; Anglès, Silvia ; Garcés, Esther ; Sampedro, Nagore ; Reñé, Albert ; Basterretxea, Gotzon
Fecha de publicación26-feb-2015
EditorAssociation for the Sciences of Limnology and Oceanography
Citación2015 Aquatic Sciences Meeting. Program Book: 107 (2015)
ResumenEven though much progress has been made recently in modeling planktonic communities, uncertainties remain large due to the countless types of planktonic species and the many interacting processes at work. Model formulations, including competition within and among trophic compartments, are often based on empirical relationships, which imply an excessive degree of parameterization and restrictive assumptions. We introduce adaptive modeling as an extension of data assimilation to the selection of model structures. Based on misfits between model predictions and observed data, adaptive modeling identifies model structures that need to be improved, estimates those improvements, and corrects the model accordingly. The model changes and learns from data providing more realistic predictions and selecting the most adequate model formulations that describe the system. We present an application of this new methodology aimed to identify the inter- and intra-specific competition processes that determine the population dynamics of a phytoplankton species (Alexandrium minutum) in a semi-enclosed site and the effects on bloom development
DescripciónAquatic Sciences Meeting, Aquatic Sciences: Global And Regional Perspectives - North Meets South, 22-27 February 2015, Granada, Spain
Versión del editorhttp://www.sgmeet.com/aslo/granada2015/program.asp
Aparece en las colecciones: (ICM) Comunicaciones congresos
(IMEDEA) Comunicaciones congresos
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