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Nicolas Barbier on Muck Rack

Nicolas Barbier

As seen in: Nature, Wiley Online Library, The Conversation, Phys.org, Science Magazine, BioRxiv, AllAfrica.com Français, Aminata
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Articles

Managed rainforests support higher carbon density and sequestration in the Congo Basin

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By Le Bienfaiteur Sagang, Ricardo Dalagnol, Lee White, Samuel Favrichon, Shuang Li, Fabien B. Wagner, Zhihua Liu, Dafeng Zhang, Vincent Medjibe, Bonaventure Sonké, Nicolas Barbier, Elsa Ordway, Sassan Saatchi, Stephanie George-Chacon, Alfred Ngomanda
| Nature Verified
Abstract Land-use is a key driver of forest loss and aboveground live carbon (AGC) emissions in the Congo Basin (CB) rainforest. Here we evaluate the influence of land-use disturbances on AGC stocks and fluxes by developing an AGC density map for the year 2020 and integrating it with high-resolution forest cover change data spanning 30 years (1990-2020) to quantify carbon emissions and removals.
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Monitoring tropical forests with light drones: ensuring spatial and temporal consistency in stereophotogrammetric products

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By Nicolas Barbier, Pierre Ploton, Hadrien Tulet, Gaelle Viennois
| BioRxiv
Abstract Light drones provide a cheap and effective tool to monitor forest canopy, especially in tropical and equatorial contexts, where infrastructure and resources are limiting. In these regions, good quality optical satellite images are rare, yet the stakes are maximal to characterize forest function, dynamics, diversity, and phenology, and more generally the vegetation-climate interplay.
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LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa - Scientific Data

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By Maxime Réjou-Méchain, Nicolas Barbier, Debabrata Behera, Gilles Dauby, Simon Lewis Verified, Alonso Alfonso, Vinay Kumar Dadhwal, Vincent Deblauwe, Vincent Droissart, Olivier Martin-Ducup, Raphaël Pélissier, Murielle Simo-Droissart, Donatien Zebaze
| Nature Verified
Abstract Accurate mapping and monitoring of tropical forests aboveground biomass (AGB) is crucial to design effective carbon emission reduction strategies and improving our understanding of Earth’s carbon cycle. However, existing large-scale maps of tropical forest AGB generated through combinations of Earth Observation (EO) and forest inventory data show markedly divergent estimates, even after accounting for reported uncertainties.
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