Project
Nature FIRST – Biodiversity Monitoring and Forensics
The goal of Nature FIRST is to develop predictive, proactive and preventative capabilities for nature conservation stakeholders by combining theoretic premises from the sciences of ecology and environmental forensics with empirical environmental observations (satellite-based & on-site) into a Proof of Principle that is tested and demonstrated in 4 European areas, covering 6 biogeographical regions.
Introduction
To ensure that ecosystems are healthy, resilient to climate change and rich in biodiversity to keep delivering the essential range of services, we need better understanding of why and where biodiversity is declining and what the key triggers are. We propose a model-driven and continuous form of ecosystem monitoring. By assessing not only numbers of species and state, but also the modelled ecological and anthropogenic processes within an ecosystem, we are able to find cause-effect relations and improve our monitoring models based on retrofits and simulations to understand changes even better. The models (Digital Twins), are thus a means for learning and the creation of context to translate environmental observations into facts and actionable information (intelligence) for site managers and policy makers. As almost all pressures on biodiversity are man-induced, we combine the domains of ecology and forensic science. This novel approach gives us access to robust scientific methods to detect and recognise (traces of) human (illegal) activities that negatively affect the environment. We will make use of remote sensing & data science (e.g AI, semantics). To ensure that theory, models and practice reinforce each other, we use an iterative approach, including many demonstrations and field-tests to gain feedback and maximize impact.
Publications
Digital twins: dynamic model-data fusion for ecology. https://www.cell.com/trends/ecology-evolution/fulltext/S0169-5347(23)00090-3