Momentum-Developing a scalable individual-based ecosystem model to understand human impacts in complex natural systems

We will use decades of ecological data from Doñana Natural Area, coupled with advanced methods in computational biology, to develop a digital twin. We have three main objectives: (i) To create a dynamic database structure to obtain abiotic and biotic information from Doñana Natural Area by digitizing and continuously updating, via cloud-based workflows, primary data (ii) To develop new methods in data integration based on high-output latent state computing which allow to join disparate data types and scales into one modelling framework (iii) To develop a digital twin that scales up, from individuals to ecosystems, the effects of interacting global-change on terrestrial ecosystems in Doñana Natural Area The main tasks of the project therefore consist in coordinating cloud-based iterative forecasting; integration of high-quality species counts, camera trap, bio-acoustic and remote-sensing data; and demographic modelling. The postdoc will be integrated in an international, dynamic, and interdisciplinary team at EBD.