Gap description:
1 - However, tools are scarce that integrate technology and computational power to access geospatial data for modelling, simulation and data collection in ways that can support NbS for climate change adaptation.
2 - Improve predictive capacity to forecast and develop future scenarios on the magnitude, timing, location and impact of multiple and cumulative pressures on CSESs {Coastal Socio-Ecological Systems}. This includes using machine learning, data mining and ensemble models to develop short- (<10 years), mid- (10-100 years) and long-term (>100 years) forecasts of CSES responses to climate change and other pressures, and methods to elucidate ecosystem dynamics, alternative states and potential tipping points.
3 - Understanding how the value of NbS-NbaS can be transposed into a model that provides DRR {Disaster Risk reduction} and CCA {Climate Change Adaptation} services.
Year:
Citation:
1 - WWF, UNEP-WCMC (2025). Key Barriers to Advancing Climate Change Adaptation through Nature-based Solutions: Knowledge, Evidence and Capacity Gaps.
2 - Villasante, S., Richter, K., Bailey, J., Blenckner, T., Farrell, E., Mongruel, R., Timmermann, K., Bouma, T., Melaku Canu, D., Chen, M., Lachs, L., Payo, A., Sousa Pinto, I. (2023) Building Coastal Resilience in Europe. Alexander, B., Muñiz Piniella, A., Kellett, P., Rodriguez Perez, A., Van Elslander, J., Bayo Ruiz, F., Heymans, J. J. [Eds.] Position Paper N°. 27 of the European Marine Board, Ostend, Belgium. 126pp. ISSN: 0167-9309. ISBN: 9789464206197.
3 - Al Sayah, M., Versini, P.-A., Schertzer, D., 2022. Projet ARTISAN Action A2 - Etat des lieux des besoins de connaissance pour la généralisation des SaFN - Inventaire des connaissances actuelles et des besoins de recherche. Champs-sur-Marne. HM&Co- Ecole des Ponts ParisTech et OFB, p.193
Sources:
Source type:
- Grey Literature
Societal challenges:
- Climate Resilience
- Natural and Climate Hazards
- Knowledge, and Social Capacity Building for Sustainable Transformation