Satellite data enable estimation of harvest volumes and carbon emissions from Congo Basin logging

Abstract Selective logging is widespread in tropical forests, yet its extent, intensities, and impacts are poorly understood. Here we developed estimates of annual timber harvest volumes, carbon emissions, and potential emissions reductions for 2020–2024 for industrial logging concessions in six Congo Basin countries. Using 62 harvest observations, we calibrated a model linking logging road development and forest disturbance detection data to harvest volumes, generating predictions at multiple spatial scales. Regional harvests averaged 14.7 M cubic meters per year and produced emissions of 87.5 teragrams carbon dioxide per year. Reduced-impact logging practices could cut emissions by 35–58%, generating $309–489 M per year in climate financing. Our harvest estimates differ from national statistics (125% higher for Gabon, 81% lower for Democratic Republic of the Congo) and our road development emissions estimates differ from previous sample-based accounting (73% lower for region). These timely, spatially-explicit data support sustainability assessment, regulatory compliance, certification efforts, and climate mitigation strategies, and our methods are broadly applicable to tropical forests with selective logging.

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Publication Details

Journal
Communications Sustainability
Published
2026-06-12
DOI
https://doi.org/10.1038/s44458-026-00105-y
Primary Topic
Conservation, Biodiversity, and Resource Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Satellite data enable estimation of harvest volumes and carbon emissions from Congo Basin logging

Johannes Reiche, Marielos Peña‐Claros, Sytze de Bruin, Bart Slagter et al.
Communications Sustainability
Conservation, Biodiversity, and Resource Management
article

Satellite data enable estimation of harvest volumes and carbon emissions from Congo Basin logging

Johannes Reiche, Marielos Peña‐Claros, Sytze de Bruin, Bart Slagter, Matthew G. Hethcoat, Kurt A. Fesenmyer, Fritz Kleinschroth, Anne-Juul Welsink, Martin Herold, Francis E. Putz, Ethan P. Belair, Peter W. Ellis, Donald Jomha, Naikoa Aguilar-Amuchastegui, Florence Palla
article en

Abstract

Abstract Selective logging is widespread in tropical forests, yet its extent, intensities, and impacts are poorly understood. Here we developed estimates of annual timber harvest volumes, carbon emissions, and potential emissions reductions for 2020–2024 for industrial logging concessions in six Congo Basin countries. Using 62 harvest observations, we calibrated a model linking logging road development and forest disturbance detection data to harvest volumes, generating predictions at multiple spatial scales. Regional harvests averaged 14.7 M cubic meters per year and produced emissions of 87.5 teragrams carbon dioxide per year. Reduced-impact logging practices could cut emissions by 35–58%, generating $309–489 M per year in climate financing. Our harvest estimates differ from national statistics (125% higher for Gabon, 81% lower for Democratic Republic of the Congo) and our road development emissions estimates differ from previous sample-based accounting (73% lower for region). These timely, spatially-explicit data support sustainability assessment, regulatory compliance, certification efforts, and climate mitigation strategies, and our methods are broadly applicable to tropical forests with selective logging.

Communications SustainabilityVol. 1(1)
Leibniz University Hannover (DE), Canadian Forest Service (CA), The Nature Conservancy (US), Natural Resources Canada (CA), University of the Sunshine Coast (AU), Independent Sector (US), University of Florida (US), Central Hospital of Yaoundé (CM), Catholic University of Central Africa (CM), GFZ Helmholtz Centre for Geosciences (DE), Wageningen University & Research (NL)
Wageningen University and Research
Openalex Percentile: Top 7%
Conservation, Biodiversity, and Resource Management
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