气候变化领域集成服务门户(CCPortal): Aboveground carbon emissions from gold mining in the Peruvian Amazon

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DOI	10.1088/1748-9326/ab639c
	Aboveground carbon emissions from gold mining in the Peruvian Amazon
	Csillik O.; Asner G.P.
发表日期	2020
ISSN	17489318
卷号	15 期号:1
英文摘要	In the Peruvian Amazon, high biodiversity tropical forest is underlain by gold-enriched subsurface alluvium deposited from the Andes, which has generated a clash between short-term earnings for miners and long-term environmental damage. Tropical forests sequester important amounts of carbon, but deforestation and forest degradation continue to spread in Madre de Dios, releasing carbon to the atmosphere. Updated spatially explicit quantification of aboveground carbon emissions caused by gold mining is needed to further motivate conservation efforts and to understand the effects of illegal mining on greenhouse gases. We used satellite remote sensing, airborne LiDAR, and deep learning models to create high-resolution, spatially explicit estimates of aboveground carbon stocks and emissions from gold mining in 2017 and 2018. For an area of ∼750 000 ha, we found high variations in aboveground carbon density (ACD) with mean ACD of 84.6 (±36.4 standard deviation) Mg C ha-1 and 83.9 (±36.0) Mg C ha-1 for 2017 and 2018, respectively. An alarming 1.12 Tg C of emissions occurred in a single year affecting 23,613 hectares, including in protected zones and their ecological buffers. Our methods and findings are preparatory steps for the creation of an automated, high-resolution forest carbon emission monitoring system that will track near real-time changes and will support actions to reduce the environmental impacts of gold mining and other destructive forest activities. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词	deep learning; forest degradation; gold mining; Madre de Dios; Planet Dove; REDD+; tropical forest
语种	英语
scopus关键词	Biodiversity; Carbon; Deep learning; Deforestation; Environmental impact; Gold deposits; Gold mines; Greenhouse gases; Remote sensing; Tropics; Forest degradation; Gold mining; Madre de dios; REDD; Tropical forest; Economic geology; aboveground biomass; airborne survey; alluvial deposit; biodiversity; carbon emission; carbon sequestration; degradation; emission control; gold mine; greenhouse gas; lidar; machine learning; remote sensing; tropical forest; Amazonas [Peru]; Andes; Madre de Dios; Peru
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/154132
作者单位	Center for Global Discovery and Conservation Science, Arizona State University, Tempe, AZ, United States
推荐引用方式 GB/T 7714	Csillik O.,Asner G.P.. Aboveground carbon emissions from gold mining in the Peruvian Amazon[J],2020,15(1).
APA	Csillik O.,&Asner G.P..(2020).Aboveground carbon emissions from gold mining in the Peruvian Amazon.Environmental Research Letters,15(1).
MLA	Csillik O.,et al."Aboveground carbon emissions from gold mining in the Peruvian Amazon".Environmental Research Letters 15.1(2020).