Integrated global assessment of the natural forest carbon potential

2023 | journal article. A publication with affiliation to the University of Göttingen.

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​Integrated global assessment of the natural forest carbon potential​
Mo, L.; Zohner, C. M.; Reich, P. B.; Liang, J.; de Miguel, S.; Nabuurs, G.-J. & Renner, S. S. et al.​ (2023) 
Nature,.​ DOI: https://doi.org/10.1038/s41586-023-06723-z 

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Authors
Mo, Lidong; Zohner, Constantin M.; Reich, Peter B.; Liang, Jingjing; de Miguel, Sergio; Nabuurs, Gert-Jan; Renner, Susanne S.; van den Hoogen, Johan; Araza, Arnan; Herold, Martin; Crowther, Thomas W.
Abstract
Abstract Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system 1 . Remote-sensing estimates to quantify carbon losses from global forests 2–5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced 6 and satellite-derived approaches 2,7,8 to evaluate the scale of the global forest carbon potential outside agricultural and urban lands. Despite regional variation, the predictions demonstrated remarkable consistency at a global scale, with only a 12% difference between the ground-sourced and satellite-derived estimates. At present, global forest carbon storage is markedly under the natural potential, with a total deficit of 226 Gt (model range = 151–363 Gt) in areas with low human footprint. Most (61%, 139 Gt C) of this potential is in areas with existing forests, in which ecosystem protection can allow forests to recover to maturity. The remaining 39% (87 Gt C) of potential lies in regions in which forests have been removed or fragmented. Although forests cannot be a substitute for emissions reductions, our results support the idea 2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets.
Issue Date
2023
Journal
Nature 
ISSN
0028-0836
eISSN
1476-4687
Language
English

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