Lynn Fanikiso
I am a Pre-doctoral student in terrestrial ecology at the Autonomous University of Barcelona through the Centre for Ecological Research and Forestry Applications (CREAF) and work within the Remote Sensing and Geographic Information Systems (GRUMETS) research group.
Sessions
The DynaFun project intends to showcase EFTs as a biodiversity indicator for non-stand shifts in forest ecosystems. EFTs are land delineations that result from similar energy and matter processes such as carbon storage or hydrological cycle. As such, vegetation indices are a well-accepted proxy indicator for ecosystem functionality. In this study Sentinel-2 satellite imagery has been used to derive remotely sensed NDVI to produce an EFT land classification over Catalonia. Plant carbon dynamics are inferred through the derivation of productivity (NDVImean), seasonality (NDVIcovariate) and phenology (NDVIDay of Maximum). Catalonia has a mixed land use land cover (LULC) system that is heavily influenced by its Mediterranean climate. It causes interannual, variable environmental changes reflected in its vegetation dynamics. Non-stand shifts occur before visible structural changes. This project presents an opportunity to enrich Land use land cover and habitat categories to determine their stability, resilience and drivers of change. This information is crucial for forest management and can act as an early warning indicator for biodiversity change for planners and policy developers.