Key research themes
1. How can ecosystem-based management integrate biophysical and social components to improve coastal resilience under global change?
This theme explores approaches to coastal management that holistically integrate ecological, physical, and social factors using flexible, adaptive frameworks like Ecosystem-based Adaptation (EbA), Community-based Adaptation (CbA), and Ecosystem-based Management (EbM). These approaches address dynamic natural coastal processes, anthropogenic pressures, and uncertainties induced by climate change. The integration of monitoring, modeling, and governance enables adaptive, system-based solutions distinct from traditional fixed infrastructure, crucial for enhancing resilience and socio-ecological sustainability in coastal zones.
2. What are the advancements in global-scale spatial and reference data for mapping and monitoring coastal ecosystems?
Effective coastal ecology research and management rely on accurate, high-resolution spatial datasets to characterize ecosystem distribution, condition, and change. This theme addresses the development of comprehensive global reference libraries and advanced geospatial analytical techniques such as remote sensing, GIS, and photogrammetry that enhance coastal ecosystem monitoring capabilities. These advancements help overcome data scarcity bottlenecks, standardize classification schemes, and enable multi-scale spatial analyses critical for evaluating ecosystem health, modeling habitat changes, and informing conservation planning.
3. How do tidal and hydrodynamic processes influence coastal ecosystem dynamics and species recruitment?
Coastal ecosystem functioning and species recruitment are regulated by complex interactions between biological communities and tidal or hydrodynamic forcing. This research theme investigates how tidal cycles, upwelling regimes, and estuarine dynamics shape biogeochemical processes, zooplankton community structure, recruitment success of intertidal organisms, and ecosystem stability. Understanding these physical-biological couplings, through long-term datasets and high-frequency sampling, provides insights essential for predicting responses to environmental variability and managing coastal biodiversity effectively.