Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda

Maurice Mugabowindekwe*, Martin Brandt*, Jérôme Chave, Florian Reiner, David L. Skole, Ankit Kariryaa, Christian Igel, Pierre Hiernaux, Philippe Ciais, Ole Mertz, Xiaoye Tong, Sizhuo Li, Gaspard Rwanyiziri, Thaulin Dushimiyimana, Alain Ndoli, Valens Uwizeyimana, Jens-Peter Barnekow Lillesø, Fabian Gieseke, Compton J. Tucker, Sassan SaatchiRasmus Fensholt

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

35 Citations (Scopus)
74 Downloads (Pure)

Abstract

Trees sustain livelihoods and mitigate climate change but a predominance of trees outside forests and limited resources make it difficult for many tropical countries to conduct automated nation-wide inventories. Here, we propose an approach to map the carbon stock of each individual overstory tree at the national scale of Rwanda using aerial imagery from 2008 and deep learning. We show that 72% of the mapped trees are located in farmlands and savannas and 17% in plantations, accounting for 48.6% of the national aboveground carbon stocks. Natural forests cover 11% of the total tree count and 51.4% of the national carbon stocks, with an overall carbon stock uncertainty of 16.9%. The mapping of all trees allows partitioning to any landscapes classification and is urgently needed for effective planning and monitoring of restoration activities as well as for optimization of carbon sequestration, biodiversity and economic benefits of trees.
Original languageEnglish
JournalNature climate change
Volume13
Pages (from-to)91-97
ISSN1758-678X
DOIs
Publication statusPublished - 2023

Cite this