Publications exploring the drivers of biodiversity, projecting the consequences of anthropogenic impacts, and informing conservation and management policies.
machine learning
Marine life across the globe organizes into 6 functionally similar trophic communities, driven by temperature and depth.
machine learning
Future climate change could cause up to 10.26% loss in seagrass biomass, stressing the critical need to fulfill the Paris ...
machine learning
Data science reveals region-specific drivers for hazardous Portuguese man o' war blooms
climate change
Climate change is projected to severely reshape Azorean coastal marine biodiversity by the end of century.
conservation
Up to 80% of threatened and commercial species across European marine protected areas face novel climates under a high-emi...
machine learning
Flawed machine learning led to inaccurate seagrass conservation priorities.
machine learning
Projections indicate that climate change will drive a significant spatial redistribution of seagrass species globally.
conservation
Current marine governance may not be sufficient to ensure the effectiveness of MPAs in the face of climate change.
biodiversity
Global estimates of carbon export from seaweed forests, revealing that this process accounts for 3-4% of the ocean’s carbo...
connectivity
Oceanographic connectivity driven by water transport plays a crucial role in shaping the genetic makeup of marine forests ...
climate change
Climate change threatens to disrupt these underwater havens, but we can take action. Our new research provides a roadmap ...
climate change
Global analysis shows deep marine biodiversity facing higher risk of exposure to the cumulative effect of intense and prol...