Multi-scale lidar measurements suggest miombo woodlands contain substantially more carbon than thought

Author:

Demol MiroORCID,Aguilar-Amuchastegui NaikoaORCID,Bernotaite GabijaORCID,Disney MathiasORCID,Duncanson LauraORCID,Elmendorp EliseORCID,Espejo AndresORCID,Furey Allister,Hancock StevenORCID,Hansen JohannesORCID,Horsley HaroldORCID,Langa Sara,Liang MengyuORCID,Locke AnnabelORCID,Manjate Virgílio,Mapanga Francisco,Omidvar HamidrezaORCID,Parsons Ashleigh,Peneva-Reed ElitsaORCID,Perry ThomasORCID,Puma Vilca Beisit L.ORCID,Rodríguez-Veiga PedroORCID,Sutcliffe Chloe,Upham RobinORCID,de Walque BenoîtORCID,Burt AndrewORCID

Abstract

AbstractMiombo woodlands are integral to livelihoods across southern Africa, biodiversity in the region, and the global carbon cycle, making accurate and precise monitoring of their state and change essential. Here, we assembled a terrestrial and airborne lidar dataset covering 50 kha of intact and degraded miombo woodlands, and generated aboveground biomass estimates with low uncertainty via direct 3D measurements of forest structure. We found 1.71 ± 0.09 TgC was stored in aboveground biomass across this landscape, between 1.5 and 2.2 times more than the 0.79–1.14 TgC estimated by conventional methods. This difference is in part owing to the systematic underestimation of large trees by allometry. If these results were extrapolated across Africa’s miombo woodlands, their carbon stock would potentially require an upward revision of approximately 3.7 PgC, implying we currently underestimate their carbon sequestration and emissions potential, and disincentivise their protection and restoration.

Funder

World Bank Group

Innovate UK

Publisher

Springer Science and Business Media LLC

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mapping Aboveground Biomass Stocks Across Africa’s Miombo Woodlands Using Multi-Scale Lidar and Satellite Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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