Articles | Volume 19, issue 7
https://doi.org/10.5194/bg-19-1891-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-1891-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Apr 2022
Research article |
| 05 Apr 2022
| 05 Apr 2022
Importance of the forest state in estimating biomass losses from tropical forests: combining dynamic forest models and remote sensing
Department of Ecological Modelling, Helmholtz-Centre for Environmental
Research GmbH – UFZ, 04318 Leipzig, Germany
Institute of Geography, Friedrich-Alexander University
Erlangen–Nuremberg, 91058 Erlangen, Germany
Forest Ecology, Institute of Terrestrial Ecosystems, Department of
Environmental Systems Science, ETH Zurich, 8092 Zurich, Switzerland
Andreas Huth
Department of Ecological Modelling, Helmholtz-Centre for Environmental
Research GmbH – UFZ, 04318 Leipzig, Germany
German Centre for Integrative Biodiversity Research – iDiv
Halle-Jena-Leipzig, 04103 Leipzig, Germany
Institute for Environmental Systems Research, University Osnabruck,
49076 Osnabruck, Germany
Rico Fischer
Department of Ecological Modelling, Helmholtz-Centre for Environmental
Research GmbH – UFZ, 04318 Leipzig, Germany
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Short summary
Quantifying biomass loss rates due to stem mortality is important for estimating the role of tropical forests in the global carbon cycle. We analyse the consequences of long-term elevated stem mortality for tropical forest dynamics and biomass loss. Based on simulations, we developed a statistical model to estimate biomass loss rates of forests in different successional states from forest attributes. Assuming a doubling of tree mortality, biomass loss increased from 3.2 % yr-1 to 4.5 % yr-1.
Quantifying biomass loss rates due to stem mortality is important for estimating the role of...
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