Periodic Reporting for period 1 - BIOcean5D (MARINE BIODIVERSITY ASSESSMENT AND PREDICTION ACROSS SPATIAL, TEMPORAL AND HUMAN SCALES)
Période du rapport: 2022-12-01 au 2024-05-31
To understand the drivers and mechanisms of marine biodiversity structure and dynamics, and determine which element of biodiversity are key for marine ecosystems functions and services, the first 18 months of the project were mainly spent on developing new theoretical models, assembling large-scale meta-datasets to develop statistical indicators and models to monitor and predict marine biodiversity changes, and building associated softwares. On the one hand, we have explored various novel ways of modeling marine biodiversity across levels of biological organization: (i) based on biological and physiological traits, (ii) integrating population drift, neutral heritable variation, and dispersal across the seascape, (iii) assembling comprehensive metabolic knowledge from metagenomes and metatranscriptomes, (iv) linking eco-evolutionary mechanisms of species interactions to ecosystem functions. On the other hand, we have compiled and completed large datasets - e.g. eDNA metabarcoding, fish-catch, phytoplankton microscopy, soundscapes, etc., together with environmental metadata - to build up statistical indicators and models of marine ecosystems status and health. Integrating across inclusive spatial, temporal, and/or organismal/biological dimensions, these data-driven models are used as new tools to quantify the impact of local (aquacultures, fisheries, invasive species) and global (natural versus anthropogenic climate and environmental changes) drivers on marine biodiversity and ecosystem functions.