Wind-energy expansion intensifies global forest fragmentation and biodiversity threats

The zip file contains global forest-based wind turbine location data and the code used to extract associated infrastructure, including WTI such as roads and foundations. GonshoreWTinForest.shp contains the global distribution of wind turbine locations within forested areas. GonshoreWTIinForestsExtract.txt contains the code used to identify wind turbine infrastructure, including access roads and associated facilities, within buffers surrounding forest-based wind turbines. The training samples were manually selected within buffers generated around the wind turbine locations in GonshoreWTinForest.shp. including WTnotRoadsSamples.shp and WTroadsSamples.shp. These samples were then used to train the classification model, which was subsequently applied to wind turbine buffers worldwide to delineate the spatial extent of wind turbine infrastructure. GonshoreWTIinForests_centerlines.shp contains the vector data representing the mapped WTI centerlines.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.21885147
Primary Topic
Wildlife-Road Interactions and Conservation
Type
article
Field-Weighted Citation Impact
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article

Wind-energy expansion intensifies global forest fragmentation and biodiversity threats

Shujun Li
4 links
Zenodo (CERN European Organization for Nuclear Research)
Wildlife-Road Interactions and Conservation
article

Wind-energy expansion intensifies global forest fragmentation and biodiversity threats

Shujun Li
article en

Abstract

The zip file contains global forest-based wind turbine location data and the code used to extract associated infrastructure, including WTI such as roads and foundations. GonshoreWTinForest.shp contains the global distribution of wind turbine locations within forested areas. GonshoreWTIinForestsExtract.txt contains the code used to identify wind turbine infrastructure, including access roads and associated facilities, within buffers surrounding forest-based wind turbines. The training samples were manually selected within buffers generated around the wind turbine locations in GonshoreWTinForest.shp. including WTnotRoadsSamples.shp and WTroadsSamples.shp. These samples were then used to train the classification model, which was subsequently applied to wind turbine buffers worldwide to delineate the spatial extent of wind turbine infrastructure. GonshoreWTIinForests_centerlines.shp contains the vector data representing the mapped WTI centerlines.

Zenodo (CERN European Organization for Nuclear Research)
Chinese Academy of Sciences (CN), Institute of Urban Environment (CN)
Life on land, Industry, innovation and infrastructure, Affordable and clean energy
Openalex Percentile: Top 16%
Wildlife-Road Interactions and Conservation
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Wind-energy expansion intensifies global forest fragmentation and biodiversity threats — Shujun Li · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS