How can process-based modeling improve peat CO 2 and N 2 O emission factors for oil palm plantations?
Autor: | Swails E; Center for International Forestry Research, Jalan CIFOR, Situ Gede, Sindang Barang, Bogor 16115, Indonesia. Electronic address: e.swails@cgiar.org., Hergoualc'h K; Center for International Forestry Research, Jalan CIFOR, Situ Gede, Sindang Barang, Bogor 16115, Indonesia., Deng J; Earth Systems Research Center, Institute for the Study of Earth, Oceans and Space, University of New Hampshire, 8 College Road, Durham, NH 03824, USA., Frolking S; Earth Systems Research Center, Institute for the Study of Earth, Oceans and Space, University of New Hampshire, 8 College Road, Durham, NH 03824, USA., Novita N; Yayasan Konservasi Alam Nusantara, Graha Iskandarsyah 3(rd) floor, Jalan Iskandarsyah Raya 66 C, 12160 Jakarta, Indonesia. |
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Jazyk: | angličtina |
Zdroj: | The Science of the total environment [Sci Total Environ] 2022 Sep 15; Vol. 839, pp. 156153. Date of Electronic Publication: 2022 May 21. |
DOI: | 10.1016/j.scitotenv.2022.156153 |
Abstrakt: | Oil palm plantations on peat and associated drainage generate sizeable GHG emissions. Current IPCC default emission factors (EF) for oil palm on organic soil are based on a very limited number of observations from young plantations, thereby resulting in large uncertainties in emissions estimates. To explore the potential of process-based modeling to refine oil palm peat CO Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.) |
Databáze: | MEDLINE |
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