Isabella
Bitetto
Researcher and Board Member
Research interests:
Bioeconomic modeling, stock assessment, MCDA, GAM/GLM, sampling optimization, fisheries data quality control tools
Articles:
Titolo | Anno | Rivista |
|---|---|---|
Assessing the Overlap between Fishing and Chondrichthyans Exposes High-Risk Areas for Bycatch of Threatened Species | 2024 | Ecosphere |
Age validation of the European Anchovy (Engraulis encrasicolus Linnaeus, 1758) in the Central-Southern Tyrrhenian Sea (West Mediterranean Sea) | 2023 | Regional Studies in Marine Science |
Assessing fish–fishery dynamics from a spatially explicit metapopulation perspective reveals winners and losers in fisheries management | 2023 | Journal of Applied Ecology |
SEAwise report on predicting effect of changes in ‘fishable’ areas on fish and fisheries | 2023 | Technical University of Denmark |
SEAwise Report on fisher behaviour submodels | 2022 | echnical University of Denmark |
Biography:
Researcher at COISPA since 2009. He has a degree in mathematics applied to stochastic models. He has participated in the development and application of population dynamics models and GLM, GAM, GAMM models in the fishing sector. Since 2009, it has participated in national fisheries data collection programs, established in compliance with European Regulations and has participated in the STECF-SGMED-EWG working groups since 2010. In particular, it has developed specific experiences in the use of different families of stock evaluation models (e.g., highly structured and data limited), management strategy evaluation models (e.g., Management Strategy Evaluation - MSE) and preference modeling (e.g., Multi Criteria Decision Analysis - MCDA). He developed several routines in R for data control and processing. He participated in the development of the BEMTOOL bio-economic model and takes care of its updates. Coordinator of the ICES WGBIOPTIM working groups and the RCG group on the optimization of biological sampling. Coordinator of the European QualiTrain project, aimed at the development and application of tools for improving the quality of fisheries data.