We explore the mechanisms driving the distribution of biodiversity, project the consequences of anthropogenic impacts, and identify conservation areas to inform conservation and management.
Global analysis shows deep marine biodiversity facing higher risk of exposure to the cumulative effect of intense and prolonged heatwave events.
The crucial role of ocean currents in shaping mangrove genetic diversity, challenging previous assumptions and emphasizing the importance of preserving these ecosystems.
Automated kelp canopy detection from satellite data for improved long-term ecological monitoring and conservation efforts.
Seaweed productivity is strongly related to climatic variables, peaking at temperate latitudes and exhibiting exceptionally high per-area production rates, 10 times higher than coastal phytoplankton in temperate and polar seas.
Potential climate-induced range shifts and losses in biomass, emphasizing the urgency of international climate agreements to protect these crucial habitats.
Future expansions of marine forests in response to changing climate will likely elicit major changes in biodiversity and ecosystem functions of the Arctic.
Stacked species distribution modelling identifies regions of high and low species richness and endemicity of marine forests of brown algae globally.
Biophysical modelling tuned with data on species dispersal ecology predicted low connectivity for a vast spectrum of biodiversity in the European network of marine reserves.
Biophysical modelling revealed that connectivity differs sharply among ecological groups, from highly connected (e.g., fish) to isolated ecosystem structuring species (e.g., corals) that might undermine conservation efforts, as they are the feeding or nursery habitats of many other species.
Machine learning distribution modelling demonstrates the benefits of complying with the Paris Agreement for 10 commercially important groundfish species distributed in the North Atlantic.