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| Type: | Resource | |
| Storage: | The size of this resource is 29.2 MB | |
| Created: | Apr 14, 2025 at 2:11 p.m. | |
| Last updated: | Apr 17, 2025 at 4:33 p.m. | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Public |
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Abstract
Deforestation from artisanal and small-scale gold mining is transforming large regions of the tropics, from lush rainforest to barren collections of tailings and ponds. Natural forest regeneration is slow due to dramatic soil changes and existing reforestation strategies are failing. Here we combine remote sensing, electrical resistivity imaging, and measurements of soil properties to characterize post-mining areas in the Madre de Dios region, Peru. We find that the post-mining landscape has dramatically changed water infiltration dynamics, driving decreases in subsurface water availability and presenting a major barrier to revegetation. Mining tailings are extremely hydraulically conductive, allowing for 14.7 m/day infiltration relative to 0.074 m/day in primary forest soils, leading to lower average soil moisture and extreme temperatures (<60C). Electrical resistivity imaging reveals a highly resistive, 1.5-2m deep layer of dry sand across the mining landscape. Areas close to the water table (e.g. pond edges) show higher soil moisture, lower temperatures, and greater natural regeneration compared to elevated tailings. Our results suggest that access to water should be prioritized when targeting reforestation sites, potentially requiring large-scale geomorphological reconfiguration. As gold mining is expected to expand, responsible practices and remediation strategies must account for the critical yet often overlooked role of water.
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readme.txt
Datasets used in the paper “Landscape controls on water availability limit revegetation after artisanal gold mining in the Peruvian Amazon” by Atwood et al. 2025. Following datasets are available: Electrical resistivity data from July 2022 and March 2024 (in ERI Data folder) Hydraulic Conductivity data from July 2023 and March 2024 (Hydraulic Conductivity folder) Continuous soil moisture and temperature data from TOMST loggers (Soil moisture and temperature folder) Pond level data (MdDPeru_miningpond_level_data.csv)
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| National Geographic Society |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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