Articles | Volume 19, issue 7
https://doi.org/10.5194/bg-19-1891-2022
https://doi.org/10.5194/bg-19-1891-2022
Research article
 | 
05 Apr 2022
Research article |  | 05 Apr 2022

Importance of the forest state in estimating biomass losses from tropical forests: combining dynamic forest models and remote sensing

Ulrike Hiltner, Andreas Huth, and Rico Fischer

Data sets

MODIS/Terra+Aqua Leaf Area Index/FPAR 8-day L4 Global 500m SIN Grid V006 R. Myneni, Y. Knyazikhin, and T. Park https://doi.org/10.5067/MODIS/MCD15A2H.006

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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.
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