Repeated mining accounts for the majority of artisanal and small-scale gold mining activity in Southeastern Peru

被引:3
作者
Engstrand, Rachel C. [1 ,2 ,3 ,4 ]
Espejo, Jorge Caballero [3 ]
Silman, Miles R. [2 ,3 ]
Asner, Gregory P. [4 ]
机构
[1] Stanford Univ, Emmett Interdisciplinary Program Environm & Resour, Stanford, CA 94305 USA
[2] Wake Forest Univ, Andrew Sabin Ctr Environm & Sustainabil, Winston Salem, NC 27109 USA
[3] Ctr Innovac Cient Amazon CINCIA, Puerto Maldonado 17000, Madre De Dios, Peru
[4] Arizona State Univ, Ctr Global Discovery & Conservat Sci, Tempe, AZ 85281 USA
关键词
disturbance detection; activity prediction; mercury; land conversion; dark mining; repeat disturbances; MADRE-DE-DIOS; PROTECTED AREAS; COVER CHANGE; DEFORESTATION; MERCURY; REGION; AMAZON;
D O I
10.1088/1748-9326/ad44b0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Artisanal and small-scale gold mining (ASGM) is considered a leading cause of environmental degradation in the Amazon. Previous studies have only used deforestation to quantify total ASGM activity and have not considered that mining may occur multiple times in the same area. However, miners often revisit previously mined sites to extract additional gold, though the frequency and extent of this occurrence remains unquantified. This study is the first to quantify repeat ASGM in Madre de Dios, Peru, and to identify which factors best predict revisitation. We found that nearly two-thirds of total ASGM activity in this region is repeat mining. When repeat mining activity is accounted for, we found that 249 488 ha were mined from 1984-2021, which is 265% more than activity estimates based on deforestation due to initial ASGM alone. Random Forest modeling showed that the designation, region, size, and type of a mine were the most important predictors of repeat mining. We suggest that repeat mining must be considered for a more comprehensive view of ASGM activity and its environmental impacts.
引用
收藏
页数:13
相关论文
共 44 条
[1]   Does formalizing artisanal gold mining mitigate environmental impacts? Deforestation evidence from the Peruvian Amazon [J].
Alvarez-Berrios, Nora ;
L'Roe, Jessica ;
Naughton-Treves, Lisa .
ENVIRONMENTAL RESEARCH LETTERS, 2021, 16 (06)
[2]  
[Anonymous], 2019, 2019 State of the Artisanal and Small-scale Mining Sector
[3]   Elevated Mercury Concentrations in Humans of Madre de Dios, Peru [J].
Ashe, Katy .
PLOS ONE, 2012, 7 (03)
[4]   Accelerated losses of protected forests from gold mining in the Peruvian Amazon [J].
Asner, Gregory P. ;
Tupayachi, Raul .
ENVIRONMENTAL RESEARCH LETTERS, 2017, 12 (09)
[5]   Elevated rates of gold mining in the Amazon revealed through high-resolution monitoring [J].
Asner, Gregory P. ;
Llactayo, William ;
Tupayachi, Raul ;
Raez Luna, Ernesto .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (46) :18454-18459
[6]   Automated mapping of tropical deforestation and forest degradation: CLASlite [J].
Asner, Gregory P. ;
Knapp, David E. ;
Balaji, Aravindh ;
Paez-Acosta, Guayana .
JOURNAL OF APPLIED REMOTE SENSING, 2009, 3
[7]   Environmental predictors of forest change: An analysis of natural predisposition to deforestation in the tropical Andes region, Peru [J].
Bax, Vincent ;
Francesconi, Wendy .
APPLIED GEOGRAPHY, 2018, 91 :99-110
[8]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[9]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[10]   Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery [J].
Camalan, Seda ;
Cui, Kangning ;
Pauca, Victor Paul ;
Alqahtani, Sarra ;
Silman, Miles ;
Chan, Raymond ;
Plemmons, Robert Jame ;
Dethier, Evan Nylen ;
Fernandez, Luis E. ;
Lutz, David A. .
REMOTE SENSING, 2022, 14 (07)