SOURCE-LINKED INTELLIGENCE

Tropical forest adaptation to a changing biosphere

CORDIS · observation · Publication date unknown

l trait composition, their role in climate resilience, and the interplay between tree and microbiota diversity. Employing extensive forest plot networks, advanced remote sensing, and state-of-the-art machine learning algorithms, I will evaluate the resilience of tropical forests in the Americas, Africa, and Asia by: 1) analysing long-term functional biodiversity dynamics; 2) identifying tree and microbiota traits essential for adaptation; 3) investigating the contribution of soil microbiota to resilience; 4) testing the relationship between diversity and resilience; and 5) scaling local insights to a pantropical level using pioneering remote sensing approaches. This project offers a novel, empirically grounded approach to understanding and modelling responses of the tropical forest biome to climate change, spanning local to global scales. The outcomes will provide actionable, evidence-based recommendations for tropical forest restoration, climate mitigation policies, and ecosystem conservation, ensuring that adaptive strategies are informed by functional biodiversity and ecological r

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recordType

award

status

SIGNED

region

EU

value

2998750

unit

EUR