Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.
ITS1.19/ESSI3.1 | Harnessing FAIR principles to advance ecosystem services modeling for risk reduction and sustainable land management
Harnessing FAIR principles to advance ecosystem services modeling for risk reduction and sustainable land management
Convener: Anna Sperotto | Co-conveners: Celina AznarezECSECS, Alba MarquezECSECS, Itxaso Ruiz
In the era of rapid environmental changes and increasing vulnerability to natural hazards and climate-related risks, ecosystem services emerged as a powerful perspective for disentangling and harnessing the benefits of nature in risk reduction. In this context, tools for modeling, mapping ecosystem services, and supporting the transfer of knowledge between multiple disciplines are key in the implementation of appropriate strategies for sustainable land management and risk reduction. However, current modeling approaches entail various challenges in their application, including limited access, findability, interoperability, reusability of data and models, as well as the need of integrating fragmented knowledge from multiple domains.
To optimize resource, knowledge and time, the adoption of FAIR (Findable, Accessible, Interoperable, Reusable) principles permits that data and models are easily findable, accessible, interoperable between different systems and reusable at different spatial and temporal scales, from both scientists and machines.
This session seeks to convene experts, researchers and practitioners from diverse fields to explore and discuss the importance of adhering to FAIR principles in ecosystem services modeling. By sharing insights, case studies and best practices, we aim to emphasize how the application of FAIR principles can enhance the accessibility, usability and finally the impact of ecosystem services data and models in risk reduction strategies and sustainable land management
We invite speakers to present theoretical and methodological approaches, as well as case studies on:
-FAIR principles in ecosystem services modeling: an in-depth exploration of each FAIR principle and its relevance in the context of ecosystem services modeling, with a focus on making data and models more accessible and reusable;
-Data integration and interoperability: discussion on how adherence to FAIR principles enables seamless integration of data from various sources and knowledge domains, facilitating the development of comprehensive ecosystem services models for risk reduction;
-Case studies and applications: real-world examples of how FAIR-compliant ecosystem services modeling has contributed to effective risk reduction and sustainable land management strategies.
-Challenges and solutions: identification of challenges and barriers in implementing FAIR principles in ecosystem services modeling and potential solutions to overcome them.