Patterns and drivers of leaf thermoregulation in rainforest trees of the Australian Wet Tropics

Kali MIDDLEBY 

Rising global temperatures are challenging the physiological limits of tropical rainforests. However, trees can exhibit resilience to warming through a combination of increased heat tolerance as well as thermoregulation strategies that maintain leaf temperatures within safe operating margins. These strategies are determined by variation in traits t... [Lire la suite...]

PS 2 salle 201 + visioconference

Simulation and machine learning models for bias assessment and reduction in leaf area density estimators in tropical forest

Yuchen BAI 

Leaf Area Index (LAI) is a key parameter regulating water and carbon fluxes. Current LAI estimation methods have inherent biases, particularly from woody components. In this presentation, I will present how our work employs trial emulation to quantify these biases. I will also introduce SOUL, a deep learning model that uses only point coordinates t... [Lire la suite...]

Salle 109, Bâtiment 9, IMAG, Campus Triolet

Amazon forest resilience beyond carbon stocks: a trait-based modeling approach

RIUS Bianca 

Leaf Area Index (LAI) is a key parameter regulating water and carbon fluxes. Current LAI estimation methods have inherent biases, particularly from woody components. In this presentation, I will present how our work employs trial emulation to quantify these biases. I will also introduce SOUL, a deep learning model that uses only point coordinates t... [read more...]

PS 1 salle 44

How is diversity maintained in an exceptionally rich community? the roles of temporal variability, spatial heterogeneity and interactions

Carlos MARTORELL 

Leaf Area Index (LAI) is a key parameter regulating water and carbon fluxes. Current LAI estimation methods have inherent biases, particularly from woody components. In this presentation, I will present how our work employs trial emulation to quantify these biases. I will also introduce SOUL, a deep learning model that uses only point coordinates t... [read more...]

PS 2 salle 201

Collaborative management partnerships strongly decreased deforestation in the most at-risk protected areas in Africa since 2000

DESBUREAUX Sébastien 

Leaf Area Index (LAI) is a key parameter regulating water and carbon fluxes. Current LAI estimation methods have inherent biases, particularly from woody components. In this presentation, I will present how our work employs trial emulation to quantify these biases. I will also introduce SOUL, a deep learning model that uses only point coordinates t... [read more...]

PS 2 salle 201

Derniers résultats et perspectives dans les recherches sur les mangroves guyanaises

Christophe PROISY 

AUGUSSEAU Paul-Emile  BLANCHARD Elodie  CATRY Thibault  MARSAL Quentin 

Leaf Area Index (LAI) is a key parameter regulating water and carbon fluxes. Current LAI estimation methods have inherent biases, particularly from woody components. In this presentation, I will present how our work employs trial emulation to quantify these biases. I will also introduce SOUL, a deep learning model that uses only point coordinates t... [read more...]

PS 2 salle 201

Biodiversity patterns and conservation of Caribbean sendemic trees

TESTE LOZANO Ernesto 

Leaf Area Index (LAI) is a key parameter regulating water and carbon fluxes. Current LAI estimation methods have inherent biases, particularly from woody components. In this presentation, I will present how our work employs trial emulation to quantify these biases. I will also introduce SOUL, a deep learning model that uses only point coordinates t... [read more...]

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