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Raphael Ganzenmüller

Biographic Data

ID7995406
NAMERaphael Ganzenmüller
GIVEN NAMESRaphael
FAMILY NAMEGanzenmüller
SIGNATUREGANZENMÜLLER R
AFFILIATIONSLudwig-Maximilians-Universität München
ORCID0000-0002-2337-0915
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Humans have depleted global terrestrial carbon stocks by a quarter

    Open Access•Raphael Ganzenmüller, Wolfgang A Obermeier et al.•ARTICLE•One Earth•2025

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

    Open Access•Raphael Ganzenmüller, Selma Bultan et al.•ARTICLE•Environmental Research Letters•2022

    Land-use and land-cover changes (LULCCs) contributed around one third to the cumulative, anthropogenic CO 2 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…

  • Forest cover changes and public policy: A literature review for post-conflict Colombia

    Open Access•Martha Vanegas-Cubillos, J Sylvester et al.•ARTICLE•Land Use Policy•2022

  • A multi-data assessment of land use and land cover emissions from Brazil during 2000–2019

    Open Access•Thais M Rosan, Kees Klein Goldewijk et al.•ARTICLE•Environmental Research Letters•2021

    Brazil is currently the largest contributor of land use and land cover change (LULCC) carbon dioxide net emissions worldwide, representing 17%–29% of the global total. There is, however, a lack of agreement among different methodologies on the magnitude and trends in LULCC emissions and their geographic distribution. Here we perform an evaluation of LULCC datasets for Brazil, including those used in the annual global carbon budget (GCB), and nati…

No prominent works on this page.

  • A multi-data assessment of land use and land cover emissions from Brazil during 2000–2019

    Open Access•Thais M Rosan, Kees Klein Goldewijk et al.•ARTICLE•Environmental Research Letters•2021

    Brazil is currently the largest contributor of land use and land cover change (LULCC) carbon dioxide net emissions worldwide, representing 17%–29% of the global total. There is, however, a lack of agreement among different methodologies on the magnitude and trends in LULCC emissions and their geographic distribution. Here we perform an evaluation of LULCC datasets for Brazil, including those used in the annual global carbon budget (GCB), and nati…

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

    Open Access•Raphael Ganzenmüller, Selma Bultan et al.•ARTICLE•Environmental Research Letters•2022

    Land-use and land-cover changes (LULCCs) contributed around one third to the cumulative, anthropogenic CO 2 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…

  • Forest cover changes and public policy: A literature review for post-conflict Colombia

    Open Access•Martha Vanegas-Cubillos, J Sylvester et al.•ARTICLE•Land Use Policy•2022

  • Humans have depleted global terrestrial carbon stocks by a quarter

    Open Access•Raphael Ganzenmüller, Wolfgang A Obermeier et al.•ARTICLE•One Earth•2025

Geography (3 works) · Land use (3 works) · Atmospheric and Environmental Gas Dynamics (2 works) · Carbon cycle (2 works) · Carbon flux (2 works) · Climate change (2 works) · Climatology (2 works) · Computer Science (2 works) · Deforestation (computer science (2 works) · Ecosystem (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae