divulgar pfv: palestra IRSE/IPMA: 30/03/2023 Anxo Pax - 11:30h PT (12:30h CET)
Marta Rufino
Bom dia y buenos dias,
Este jueves (quinta feira) un poquito antes de la comida (almoço), Anxo Paz nos va hablar de una libreria nueva en R, Knobi An R package implementing known biomass production models.
Así seguimos con las palestras del IRSE para hablarmos un poquito de lo que estamos haciendo en este canto del mundo Ibérico, (esta que será conjunta con IPMA en formato apenas on-line).
Hasta jueves,
Marta y Maria Grazia
El link para el evento:
https://videoconf-colibri.zoom.us/j/91404148973?pwd=THBLL2xjeFlsRU5RSy9jdHY4UFljUT09
Meeting ID: 914 0414 8973
Password: 583275
30/03/2023 Anxo Pax - 11:30h PT (12:30h CET)
Title
knobi: An R package implementing Known-Biomass Production Models under climate change scenarios
Abstract
Rising demand for food resources in conjunction with climate-related alterations in marine ecosystems and declining trends in fishing catches around the world suggests little room for expansion of fisheries and a greater need for simple and efficient approaches to fisheries management. Many tools have been developed in order to understand how the effects of climate change could affect the different species and consequently what the socio-economic impacts would be. In this respect, biological reference points (BRPs) are important tools in the management of fisheries species. BRPs are not static, they change when the environment or the population itself changes. However, few tools allow you to calculate them under climate change scenarios. Here we present knobi, a new R package that implements Known Biomass Production Models (KBPMs), allowing the estimation of BRPs taking into consideration the environmental variability, and the projection of the population under future different environmental and exploitation scenarios. European hake (Merluccius merluccius), a commercially important resource in the European waters, is considered as a case study to highlight the advantages and illustrate the use of this new tool. knobi software provides to the scientific community a simple and powerful tool to analyze the environmental effects over the current and future states of the population, as well as on the associated BRPs to prevent the ecological and socioeconomic impacts of climate change.
Biograpy
Graduated in Biology and with a Master's degree in Statistical Techniques from the University of Santiago de Compostela, completing the TFM as an internship in collaboration with the Spanish Institute of Oceanography (IEO-CSIC) at the Oceanographic Center of Vigo, analyzing the operation of different models of surplus production through simulation studies deriving conclusions of practical interest. His main interests are data analysis, simulation and modeling, and statistical programming in R. He is currently working at the Vigo Oceanographic Center, addressing, among other tasks, the implementation of known biomass production models in R software.
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Portuguese Institute for the Sea and the Atmosphere (IPMA)
Centre of Statistics and its Applications (CEAUL)
Faculty of Sciences, Univ. of Lisbon, Portugal