Published January 1, 2020 | Version v1
Journal article

Aboveground carbon emissions from gold mining in the Peruvian Amazon

  • 1. Center for Global Discovery and Conservation Science, Arizona State University, Tempe, AZ (United States)

Description

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. (letter)

Availability note (English)

Available from http://dx.doi.org/10.1088/1748-9326/ab639c

Additional details

Identifiers

Publishing Information

Journal Title
Environmental Research Letters
Journal Volume
15
Journal Issue
1
Journal Page Range
[11 p.]
ISSN
1748-9326

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52086840
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
AIR POLLUTION MONITORING; CARBON; DEFORESTATION; ENVIRONMENTAL IMPACTS; FORESTS; GREENHOUSE GASES; MACHINE LEARNING; MINERS; MINING; REMOTE SENSING; SPECIES DIVERSITY
Descriptors DEC
ALGORITHMS; ARTIFICIAL INTELLIGENCE; ELEMENTS; LEARNING; MATHEMATICAL LOGIC; MONITORING; NONMETALS; PERSONNEL