Jérôme Chave

The paper examines how biogeographic context influences land-use impacts on soil multitrophic diversity in tropical dry forests, finding region-specific responses to forest-to-pasture conversion.

The paper compares two photosynthesis models using light response data and finds the Johnson and Berry formulation reduces global gross primary productivity estimates by 8%.

Across 109,626 wood density records from 16,829 plant species (GWDD v.2), intraspecific variation explains 15% of global variance, tracks interspecific environmental gradients at 20-30% magnitude, and limits single-plant predictability.

The paper introduces the Global Canopy Atlas, a harmonized dataset of 3D canopy structure from ALS data, and demonstrates its applications in validating satellite maps, analyzing canopy gap patterns, and quantifying forest turnover.

The paper creates a high-resolution global map of wood density using species and vegetation data, showing improved accuracy and a wider density range than previous estimates.

The paper detects canopy biodiversity using eDNA from rainwater, finding lower diversity in a plantation compared to a mature forest.

The paper analyzes global tree crown architecture to identify factors driving diversity in height, crown size, and shape across species.

The paper identifies low-frequency somatic mutations in two tropical tree species and shows they can be heritable despite not following expected branching patterns or UV exposure effects.