Global mining has undermined forest conservation within and beyond protected areas

Abstract Protected areas are widely regarded as a cornerstone of global forest conservation, yet growing mineral demand intensifies mining pressure on them. Here, we present a global assessment of mining-induced forest loss within and beyond protected areas from 2001 to 2020. We find that approximately 11% (~1372 km 2 ) of global mining-induced forest loss occurs within protected areas, with this proportion increasing to ~19% during 2016–2020. Furthermore, ~27% (544) of mines associated with forest loss within protected areas remain active throughout the study period. Mining impacts also extend beyond protected area boundaries, where forest loss in the surrounding 10-km buffer zones (~4113 km 2 ) is nearly three times that observed within protected areas. Temporal analyses further reveal that mining increasingly affects forests with higher biomass density over time. These findings demonstrate growing mining pressure on protected forests and highlight the need to mitigate impacts both within and beyond protected area boundaries.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-06-24
DOI
https://doi.org/10.1038/s41467-026-74859-3
Primary Topic
Conservation, Biodiversity, and Resource Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global mining has undermined forest conservation within and beyond protected areas

Tingting He, Zhipei Sun, Fashuai Li, Hongtao Cao et al.
Nature Communications
Conservation, Biodiversity, and Resource Management
article

Global mining has undermined forest conservation within and beyond protected areas

Tingting He, Zhipei Sun, Fashuai Li, Hongtao Cao, Maoxin Zhang, Ye Lu, Yanling Zhao, Yihua Hu, Huicai Yang, He Ren, Yuwei Chen, Jianyu Wang, Jin Wu, Jianyong Zhang
article en

Abstract

Abstract Protected areas are widely regarded as a cornerstone of global forest conservation, yet growing mineral demand intensifies mining pressure on them. Here, we present a global assessment of mining-induced forest loss within and beyond protected areas from 2001 to 2020. We find that approximately 11% (~1372 km 2 ) of global mining-induced forest loss occurs within protected areas, with this proportion increasing to ~19% during 2016–2020. Furthermore, ~27% (544) of mines associated with forest loss within protected areas remain active throughout the study period. Mining impacts also extend beyond protected area boundaries, where forest loss in the surrounding 10-km buffer zones (~4113 km 2 ) is nearly three times that observed within protected areas. Temporal analyses further reveal that mining increasingly affects forests with higher biomass density over time. These findings demonstrate growing mining pressure on protected forests and highlight the need to mitigate impacts both within and beyond protected area boundaries.

Nature Communications
Tianjin Normal University (CN), Hefei University of Technology (CN), Beijing Normal University (CN), China University of Mining and Technology (CN), Beijing University of Technology (CN), Hangzhou Academy of Agricultural Sciences (CN), Applied Pulsed Power (United States) (US), Advanced Laser Technology (United Kingdom) (GB), Zhejiang University (CN), Aalto University (FI)
National Natural Science Foundation of China, Academy of Finland, China University of Mining and Technology, State Key Laboratory of Pulsed Power Laser Technology
Life in Land
Openalex Percentile: Top 8%
Conservation, Biodiversity, and Resource Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.