Publications exploring the drivers of biodiversity, projecting the consequences of anthropogenic impacts, and informing conservation and management policies.
artificial intelligence
The prospects of using multimodal Artificial Intelligence with Citizen Science to monitor Coral reefs.
climate change
Climate change will force cold-water corals to shift poleward and deeper, causing significant biodiversity loss in shallow...
conservation
The global maritime industry, the lifeblood of our modern economy, is rapidly expanding, but its growing footprint poses a...
climate change
Data science models show limited dispersal severely restricts seahorse adaptation to climate change, leading to major habi...
machine learning
Past climate conditions are main drivers shaping the genetic diversity of global marine forests, providing key conservatio...
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 ...
climate change
Climate change is projected to severely reshape Azorean coastal marine biodiversity by the end of century.
machine learning
Data science reveals region-specific drivers for hazardous Portuguese man o' war blooms
machine learning
Flawed machine learning led to inaccurate seagrass conservation priorities.
conservation
Up to 80% of threatened and commercial species across European marine protected areas face novel climates under a high-emi...
machine learning
Projections indicate that climate change will drive a significant spatial redistribution of seagrass species globally.