丹麦哥本哈根大学 Mugabowindekwe, Maurice和Brandt, Martin的研究小组致力于卢旺达全国树木水平地上碳储量制图的研究工作。2022年12月22日出版的《自然—气候变化》杂志发表了这一项最新研究成果。

研究人员提出，使用2008年的航空图像和深度调查，在卢旺达国家范围内绘制每棵树木的碳储量。研究发现72％的测绘树木位于农田和稀树草原，17％位于种植园，占全国地上碳储量的48.6％。天然森林覆盖了数目总数的11％和全国碳储量的51.4％，总碳储量的不确定性为16.9％。所有树木的测绘允许划分为任何景观类别，这是有效规划和监测恢复活动以及优化碳固存、生物多样性和树木经济效益所迫切需要的。

据了解，树木可以维持生计，调剂气候变化，森林以外的树木虽占主导地位，但 因其资源有限，使得许多热带国家难以进行自动化的全国清查。

附：英文原文

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

Author: Mugabowindekwe, Maurice, Brandt, Martin, Chave, Jrme, 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, Lilles, Jens-Peter Barnekow, Gieseke, Fabian, Tucker, Compton J., Saatchi, Sassan, Fensholt, Rasmus

Issue&Volume: 2022-12-22

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.

DOI: 10.1038/s41558-022-01544-w

Source: https://www.nature.com/articles/s41558-022-01544-w