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

Mugabowindekwe, Maurice, Brandt, Martin, Chave, Jérôme, Reiner, Florian, Skole, David L., Kariryaa, Ankit, Igel, Christian, Hiernaux, Pierre, Ciais, Philippe, Mertz, Ole, Tong, Xiaoye, Li, Sizhuo, Rwanyiziri, Gaspard, Dushimiyimana, Thaulin, Ndoli, Alain, Uwizeyimana, Valens, Lillesø, Jens-Peter Barnekow, Gieseke, Fabian, Tucker, Compton J., Saatchi, Sassan, Fensholt, Rasmus·2023·Nature Climate Change
DOI 10.1038/s41558-022-01544-wPMC PMC9845119

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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.

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Metadata

Authors
Mugabowindekwe, M., Brandt, M., Chave, J., Reiner, F., Skole, D. L., Kariryaa, A., Igel, C., Hiernaux, P., Ciais, P., Mertz, O., Tong, X., Li, S., Rwanyiziri, G., Dushimiyimana, T., Ndoli, A., Uwizeyimana, V., Lillesø, J.-P. B., Gieseke, F., Tucker, C. J., Saatchi, S., & Fensholt, R.
ORCID
Venue
Nature Climate Change
Publisher
Springer Science and Business Media LLC
Published
2022-12-22
Volume
13
Issue
1
Pages
91-97
ISSN
  • 1758-678X
  • 1758-6798
DOI
10.1038/s41558-022-01544-w
PMC
PMC9845119
Cited by
126
References
6
Language
en
Licence

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