气候变化领域集成服务门户(CCPortal): Characterizing the Accelerated Global Carbon Emissions from Forest Loss during 1985-2020 Using Fine-Resolution Remote Sensing Datasets

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DOI	10.3390/rs16060978
	Characterizing the Accelerated Global Carbon Emissions from Forest Loss during 1985-2020 Using Fine-Resolution Remote Sensing Datasets
	Liu, Wendi; Zhang, Xiao; Xu, Hong; Zhao, Tingting; Wang, Jinqing; Li, Zhehua; Liu, Liangyun
发表日期	2024
EISSN	2072-4292
起始页码	16
结束页码	6
卷号	16 期号:6
英文摘要	Previous studies on global carbon emissions from forest loss have been marked by great discrepancies due to uncertainties regarding the lost area and the densities of different carbon pools. In this study, we employed a new global 30 m land cover dynamic dataset (GLC_FCS30D) to improve the assessment of forest loss areas; then, we combined multi-sourced carbon stock products to enhance the information on carbon density. Afterwards, we estimated the global carbon emissions from forest loss over the period of 1985-2020 based on the method recommended by the Intergovernmental Panel on Climate Change Guidelines (IPCC). The results indicate that global forest loss continued to accelerate over the past 35 years, totaling about 582.17 Mha and leading to total committed carbon emissions of 35.22 +/- 9.38 PgC. Tropical zones dominated global carbon emissions (similar to 2/3) due to their higher carbon density and greater forest loss. Furthermore, global emissions more than doubled in the period of 2015-2020 (1.77 +/- 0.44 PgC/yr) compared to those in 1985-2000 (0.69 +/- 0.21 PgC/yr). Notably, the forest loss at high altitudes (i.e., above 1000 m) more than tripled in mountainous regions, resulting in more pronounced carbon emissions in these areas. Therefore, the accelerating trend of global carbon emissions from forest loss indicates that great challenges still remain for achieving the COP 26 Declaration to halt forest loss by 2030.
英文关键词	forest loss; carbon emissions; land cover; tropical rainforest; mountainous forest
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001193424900001
来源期刊	REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/301512
作者单位	Chinese Academy of Sciences; Aerospace Information Research Institute, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Xi'an University of Science & Technology
推荐引用方式 GB/T 7714	Liu, Wendi,Zhang, Xiao,Xu, Hong,et al. Characterizing the Accelerated Global Carbon Emissions from Forest Loss during 1985-2020 Using Fine-Resolution Remote Sensing Datasets[J],2024,16(6).
APA	Liu, Wendi.,Zhang, Xiao.,Xu, Hong.,Zhao, Tingting.,Wang, Jinqing.,...&Liu, Liangyun.(2024).Characterizing the Accelerated Global Carbon Emissions from Forest Loss during 1985-2020 Using Fine-Resolution Remote Sensing Datasets.REMOTE SENSING,16(6).
MLA	Liu, Wendi,et al."Characterizing the Accelerated Global Carbon Emissions from Forest Loss during 1985-2020 Using Fine-Resolution Remote Sensing Datasets".REMOTE SENSING 16.6(2024).