Jonathan Lenoir

This study quantifies global microclimatic differences between mountain roadsides and adjacent vegetation, finding warmer daytime and colder nighttime soil temperatures, with implications for biodiversity.

The paper shows that dispersal ability limits range expansion rates only when dispersal rates are slower than climate velocity, using data from plants and birds.

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 detects a community thermophilization signal of +0.13°C over 10 years in Swiss mountain roadsides, but highlights that cover-weighted models obscure this signal due to low cover values of gained/lost species.

This paper combines crowdsourced biodiversity data with Earth observation to model plant traits at high resolution, achieving strong predictive power and improving spatial coverage for global trait mapping.

The paper assesses how human land use affects plant functional diversity across Europe, finding lower functional richness and divergence but higher evenness in disturbed areas.

This paper develops deep learning models to extract micrometeorological data from wildlife camera images, showing improved accuracy and revealing ecological insights.