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Land-use change emissions based on high-resolution activity data substantially lower than previously estimated

Ganzenmüller, R. ; Bultan, S.; Winkler, K. ORCID iD icon 1; Fuchs, R. 1; Zabel, F.; Pongratz, J.
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Land-use and land-cover changes (LULCCs) contributed around one third to the cumulative, anthropogenic CO2 emissions from 1850 to 2019. Despite its great importance, estimates of the net CO 2 fluxes from LULCC (E LUC ) have high uncertainties, compared to other components of the global carbon cycle. One major source of uncertainty roots in the underlying LULCC forcing data. In this study, we implemented a new high-resolution LULCC dataset (HILDA + ) in a bookkeeping model (BLUE) and compared the results to estimates from simulations based on LUH2, which is the LULCC dataset most commonly used in global carbon cycle models. Compared to LUH2-based estimates, results based on HILDA + show lower total E LUC (global mean difference 1960–2019: 541 TgC yr ⁻¹ , 65%) and large spatial and temporal differences in component fluxes (e.g. CO 2 fluxes from deforestation). In general, the congruence of component fluxes is higher in the mid-latitudes compared to tropical and subtropical regions, which is to some degree explained with the different implementations of shifting cultivation in the underlying LULCC datasets. However, little agreement is reached on the trend of the last decade between E LUC estimates based on the two LULCC reconstructions. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000148192
Veröffentlicht am 04.07.2022
Originalveröffentlichung
DOI: 10.1088/1748-9326/ac70d8
Scopus
Zitationen: 12
Web of Science
Zitationen: 11
Dimensions
Zitationen: 14
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 01.06.2022
Sprache Englisch
Identifikator ISSN: 1748-9326
KITopen-ID: 1000148192
HGF-Programm 12.11.21 (POF IV, LK 01) Natural ecosystems as sources and sinks of GHGs
Erschienen in Environmental Research Letters
Verlag Institute of Physics Publishing Ltd (IOP Publishing Ltd)
Band 17
Heft 6
Seiten 064050
Projektinformation VERIFY (EU, H2020, 776810)
Nachgewiesen in Dimensions
Scopus
Web of Science
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