Título: Bayesian hierarchical spatio-temporal models for analyzing the cumulative effects of global change and plausible future oceans
Ponente: Alba Fuster-Alonso (Instituto de Ciencias del Mar (ICM-CSIC) & Departamento de Estadística e Investigación Operativa (VaBaR), Universidad de Valencia)
Fecha y hora: 28/02/2025, 12:00
Inscripción online (cierre 30 minutos antes del inicio): https://forms.gle/45PBXnNB9Q3J51X19
Lugar: Sala de Seminarios del Edificio Torretamarit (CIO) y online
Organizador: Josep Xavier Barber Valles
Abstract:
Climate change is widely recognized as a global phenomenon, with numerous studies emphasizing its impacts worldwide. Consequently, marine species must adapt and potentially shift their distributions to areas with more suitable conditions for survival. Therefore, estimating and predicting present and future spatial and temporal distributions of marine species has become crucial for management and con- servation efforts. Hierarchical Bayesian spatio-temporal models have proven useful in marine ecology as Species Distribution Models (SDMs), enabling evaluation of changes in the spatial and temporal distri- bution of marine species under different climate change scenarios. However, further research is needed to enhance the capabilities of these models, particularly when working at a global scale.
In line with all this, our goal is to enhance certain characteristics of traditional species distribution models (SDMs), such as their integration with stock assessment models or ecosystem models, and their capacity to make long-term predictions on a global scale, with the final aim of achieving better results for the effective management of marine resources.
CV:
Alba Fuster-Alonso is a PhD student in Statistics and Optimization at the Institute of Marine Sci- ences (ICM)-CSIC and the University of Valencia (UV). She decided to study Marine Sciences at the University of Alicante (UA) and graduated from there in 2020. During her bachelor’s degree, she dis- covered her interest in research and statistics. To pursue this interest, she decided to study for a Master’s Degree in Biostatistics at the University of Valencia (UV). During her Master’s, she had the opportunity to participate in several conferences, courses, and internships. She received a research grant in 2020-2021 to collaborate with the Department of Statistics and Operations Research on the Bayesian Modelling of complex correlated data research line in collaboration with the Spanish Institute of Oceanography (IEO)- CSIC. She is currently pursuing her PhD in Statistics and Optimization at the UV, with an FPI contract at the ICM. Her doctoral research focuses on developing Bayesian hierarchical spatio-temporal models to analyze the cumulative effects of global change and plausible future oceans.