January 8, 2020

Reseach Assistant to evaluate the role of soil fungal diversity in preserving functionality in Iberian beech forests under contrasting climate change scenarios

Current climate change scenario, with continuously rising temperature and more frequent and severe drought episodes severely threatens the maintenance of forests at the rear end of their climatic distribution limit. Symbiotic associations between tree roots and ectomycorrhizal fungi (ECM) can contribute to maintain forest functionality by enhancing root uptake of water and nutrients. In this project, funded by the regional Basque Government, we aim to quantify the functional role of ECM in beech forests in northern Spain, where this species finds its driest distribution limit.
January 22, 2020

Governance of climate change adaptation and risk management

Sea-level rise represents one of the main impacts of climate change. Globally, low elevation coastal areas represent 2% of the surface area, but account for 10% of the world's population and many of the economic assets and infrastructures. Moreover, the increase in sea level causes extreme values occur more frequently, affecting the exposed communities and assets (environmental and economic) more severely. This also generates an increase in the erosion rate, increasing the recoil of the coastline, which in turn makes the coastal and active resources located there much more exposed. In this context, it is essential to understand current and future risks and a number of studies show the need to adapt the format of the information to the agents who need to make decisions on adaptation.
February 6, 2020

VIDEO: El papel de los rumiantes en la mitigación del cambio climático. “El bueno y el malo”

Este video infográfico ha sido producido como parte de la contribución de BC3 a la COP25 en Madrid (Pabellón España-5 de diciembre de 2019) y bajo el proyecto H2020 iSAGE. El video intenta ilustrar gráficamente por qué los rumiantes no tienen la culpa del cambio climático. Se muestran diferentes argumentos con respecto a las diferencias entre las emisiones de metano biogénico de los rumiantes y el CO2 de combustibles fósiles, las diferencias en los sistemas de producción y las incertidumbres con respecto a las emisiones de N2O y la línea de referencia para comparar las emisiones de los rumiantes en comparación con otras actividades. La idea del video y el guión han sido desarrollados por Agustín del Prado (BC3) y Pablo Manzano (Universidad de Helsinki), animados y producidos por Yelena Grigorenko y voz en off de Bosco Lliso (BC3). The video attempts to graphically illustrate why ruminants are not to be blamed for climate change. Different arguments are shown regarding the differences between emissions from biogenic methane from ruminants and fossil fuel CO2, differences in production systems and the uncertainties regarding N2O emissions and the baseline of reference to compare emissions from ruminants compared with other activities. The video idea and script have been developed by Agustin del Prado (BC3) and Pablo Manzano (University Of Helsinki), animated and produced by Yelena Grigorenko and voice over by Bosco Lliso (BC3).
February 17, 2020

VIDEO – Integrated Modelling Partnership: Introducing AI computational solutions to sustainability problems for non-technical audiences

This infographic video has been produced by BC3- Basque Centre for Climate Change to graphically illustrate an introduction TO k.LAB and Integrated Modelling for non-technical audiences. We present the Philosophy embracing the FAIR principles and the Technology behind a cutting edge modelling environment for Knowledge Integration. K.LAB is a web accessible software that uses the meaning of information, its semantics, to integrate knowledge through Artificial Intelligence and builds computational solutions to environmental, policy and sustainability problems. Through this modelling environment, researchers can contribute knowledge from their discipline and seamlessly connect it to the knowledge generated by others through the use of shared semantics. The result is a powerful tool where users can enter their queries and k.LAB is able to select the most appropriate knowledge available building for the first time new knowledge from the integration of the existing one.




María de Maeztu Excellence Unit 2023-2027 Ref. CEX2021-001201-M, funded by MCIN/AEI /10.13039/501100011033

©2008 BC3 Basque Centre for Climate Change.