Annual emissions of carbon from land use, land-use change, and forestry from 1850 to 2020

Abstract Estimates of the annual emissions of carbon from land use, land-use change, and forestry (LULUCF) are important for constructing global, regional, and national carbon budgets, which in turn help predict future rates of climate change and define potential strategies for mitigation. Here, we update a long-term (1850–2020) series of annual national carbon emissions resulting from LULUCF (10.7910/DVN/U7GHRH, Houghton and Castanho, 2023), based largely, after 1960, on statistics of land use from the Food and Agriculture Organization (FAO) of the United Nations (http://www.fao.org/faostat/en/#data/, FAO, 2021). Those data suggest that rates of deforestation in the tropics (and thus net emissions of carbon) have decreased over the last 10 years (2011–2020). The data also indicate that the net loss of tropical forest area was greater than the net gain in agricultural lands, and we explore four alternative explanations for this apparent forest conversion, one of which is shifting cultivation. We also discuss how opposing trends in recent estimates of tropical deforestation (and emissions) might be reconciled. The calculated emissions of carbon attributable to LULUCF approximate the anthropogenic component of terrestrial carbon emissions, but limiting national carbon accounting to the anthropogenic component may also limit the potential for managing carbon on land.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Annual emissions of carbon from land use, land-use change, and forestry from 1850 to 2020 ; volume:15 ; number:5 ; year:2023 ; pages:2025-2054 ; extent:30
Earth system science data ; 15, Heft 5 (2023), 2025-2054 (gesamt 30)

Classification
Natürliche Ressourcen, Energie und Umwelt

Creator
Houghton, Richard A.
Castanho, Andrea

DOI
10.5194/essd-15-2025-2023
URN
urn:nbn:de:101:1-2023052504181753313539
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:50 AM CEST

Data provider

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Associated

  • Houghton, Richard A.
  • Castanho, Andrea

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