CO2 emissions in the Amazon: are bottom-up estimates from land use and cover datasets consistent with top-down estimates based on atmospheric measurements?

Tejada, G., Gatti, L.V., Basso, L.S. et al. (14 more authors) (2023) CO2 emissions in the Amazon: are bottom-up estimates from land use and cover datasets consistent with top-down estimates based on atmospheric measurements? Frontiers in Forests and Global Change, 6. 1107580. ISSN 2624-893X

Abstract

Metadata

Authors/Creators:
  • Tejada, G.
  • Gatti, L.V.
  • Basso, L.S.
  • Cassol, H.L.G.
  • Silva-Junior, C.H.L.
  • Mataveli, G.
  • Marani, L.
  • Arai, E.
  • Gloor, M. ORCID logo https://orcid.org/0000-0002-9384-6341
  • Miller, J.B.
  • Cunha, C.L.
  • Domingues, L.G.
  • Ipia, A.
  • Correia, C.S.C.
  • Crispim, S.P.
  • Neves, R.A.L.
  • Von Randow, C.
Copyright, Publisher and Additional Information: © 2023 Tejada, Gatti, Basso, Cassol, Silva-Junior, Mataveli, Marani, Arai, Gloor, Miller, Cunha, Domingues, Ipia, Correia, Crispim, Neves and Von Randow. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms
Keywords: Amazon; land use and cover change; CO2 atmospheric measurements; CO2 emissions; emission factors; bottom-up top-down approaches
Dates:
  • Accepted: 24 July 2023
  • Published (online): 23 August 2023
  • Published: 23 August 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Nov 2023 17:36
Last Modified: 23 Nov 2023 17:36
Status: Published
Publisher: Frontiers Media
Identification Number: https://doi.org/10.3389/ffgc.2023.1107580
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