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

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Standard

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.

I: Nature climate change, Bind 13, 2023, s. 91-97.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Mugabowindekwe, M, Brandt, M, Chave, J, Reiner, F, Skole, DL, Kariryaa, A, Igel, C, Hiernaux, P, Ciais, P, Mertz, O, Tong, X, Li, S, Rwanyiziri, G, Dushimiyimana, T, Ndoli, A, Uwizeyimana, V, Lillesø, J-PB, Gieseke, F, Tucker, CJ, Saatchi, S & Fensholt, R 2023, 'Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda', Nature climate change, bind 13, s. 91-97. https://doi.org/10.1038/s41558-022-01544-w

APA

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., ... Fensholt, R. (2023). Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda. Nature climate change, 13, 91-97. https://doi.org/10.1038/s41558-022-01544-w

Vancouver

Mugabowindekwe M, Brandt M, Chave J, Reiner F, Skole DL, Kariryaa A o.a. Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda. Nature climate change. 2023;13:91-97. https://doi.org/10.1038/s41558-022-01544-w

Author

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. / Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda. I: Nature climate change. 2023 ; Bind 13. s. 91-97.

Bibtex

@article{bf565f5644fe4ad7b22e0aadd53df761,
title = "Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda",
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.",
author = "Maurice Mugabowindekwe and Martin Brandt and J{\'e}r{\^o}me Chave and Florian Reiner and Skole, {David L.} and Ankit Kariryaa and Christian Igel and Pierre Hiernaux and Philippe Ciais and Ole Mertz and Xiaoye Tong and Sizhuo Li and Gaspard Rwanyiziri and Thaulin Dushimiyimana and Alain Ndoli and Valens Uwizeyimana and Lilles{\o}, {Jens-Peter Barnekow} and Fabian Gieseke and Tucker, {Compton J.} and Sassan Saatchi and Rasmus Fensholt",
year = "2023",
doi = "10.1038/s41558-022-01544-w",
language = "English",
volume = "13",
pages = "91--97",
journal = "Nature Climate Change",
issn = "1758-678X",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda

AU - Mugabowindekwe, Maurice

AU - Brandt, Martin

AU - Chave, Jérôme

AU - Reiner, Florian

AU - Skole, David L.

AU - Kariryaa, Ankit

AU - Igel, Christian

AU - Hiernaux, Pierre

AU - Ciais, Philippe

AU - Mertz, Ole

AU - Tong, Xiaoye

AU - Li, Sizhuo

AU - Rwanyiziri, Gaspard

AU - Dushimiyimana, Thaulin

AU - Ndoli, Alain

AU - Uwizeyimana, Valens

AU - Lillesø, Jens-Peter Barnekow

AU - Gieseke, Fabian

AU - Tucker, Compton J.

AU - Saatchi, Sassan

AU - Fensholt, Rasmus

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

U2 - 10.1038/s41558-022-01544-w

DO - 10.1038/s41558-022-01544-w

M3 - Journal article

C2 - 36684409

VL - 13

SP - 91

EP - 97

JO - Nature Climate Change

JF - Nature Climate Change

SN - 1758-678X

ER -

ID: 331571934