Articles | Volume 12, issue 2
https://doi.org/10.5194/esd-12-635-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-12-635-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 May 2021
Research article |
| 21 May 2021
| 21 May 2021
Modelled land use and land cover change emissions – a spatio-temporal comparison of different approaches
Wolfgang A. Obermeier
CORRESPONDING AUTHOR
Department of Geography, Ludwig Maximilians Universität, Luisenstrasse 37, 80333 Munich, Germany
Julia E. M. S. Nabel
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
Tammas Loughran
Department of Geography, Ludwig Maximilians Universität, Luisenstrasse 37, 80333 Munich, Germany
Kerstin Hartung
Department of Geography, Ludwig Maximilians Universität, Luisenstrasse 37, 80333 Munich, Germany
now at: German Aerospace Center, Institute of Atmospheric Physics, 82234 Oberpfaffenhofen, Germany
Ana Bastos
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Felix Havermann
Department of Geography, Ludwig Maximilians Universität, Luisenstrasse 37, 80333 Munich, Germany
Peter Anthoni
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research/ Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, Germany
Almut Arneth
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research/ Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, Germany
Daniel S. Goll
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), 91191 Gif-sur-Yvette, France
Sebastian Lienert
Climate and Environmental Physics, Physics Institute and Oeschger Centre for Climate Change Research, University of Bern, Bern 3012, Switzerland
Danica Lombardozzi
National Center for Atmospheric Research (NCAR), Climate & Global Dynamics Lab, Boulder, CO 80305, USA
Sebastiaan Luyssaert
Department of Ecological Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Patrick C. McGuire
Department of Meteorology, University of Reading, Earley Gate, Reading, RG6 6BB, UK
Joe R. Melton
Climate Processes Section, Climate Research Division, Environment and Climate Change Canada, Victoria, BC, Canada
Benjamin Poulter
NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD 20771, USA
Stephen Sitch
College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4RJ, UK
Michael O. Sullivan
College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4RJ, UK
Hanqin Tian
School of Forestry and Wildlife Sciences, Auburn University, 602 Ducan Drive, Auburn, AL 36849, USA
Anthony P. Walker
Climate Change Science Institute & Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Andrew J. Wiltshire
College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4RJ, UK
Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, UK
Soenke Zaehle
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research/ Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, Germany
Julia Pongratz
Department of Geography, Ludwig Maximilians Universität, Luisenstrasse 37, 80333 Munich, Germany
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
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Latest update: 29 Nov 2025
Short summary
We provide the first spatio-temporally explicit comparison of different model-derived fluxes from land use and land cover changes (fLULCCs) by using the TRENDY v8 dynamic global vegetation models used in the 2019 global carbon budget. We find huge regional fLULCC differences resulting from environmental assumptions, simulated periods, and the timing of land use and land cover changes, and we argue for a method consistent across time and space and for carefully choosing the accounting period.
We provide the first spatio-temporally explicit comparison of different model-derived fluxes...
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