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

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Cited articles

Asner, G. P. and Alencar, A.: Drought impacts on the Amazon forest: The remote sensing perspective, New Phytol., 187, 569–578, https://doi.org/10.1111/j.1469-8137.2010.03310.x, 2010. 
Aubry-Kientz, M., Hérault, B., Ayotte-Trépanier, C., Baraloto, C., and Rossi, V.: Toward Trait-Based Mortality Models for Tropical Forests, PLoS One, 8, e63678, https://doi.org/10.1371/journal.pone.0063678, 2013. 
Barlow, J., Lagan, B. O., and Peres, C. A.: Morphological correlates of fire-induced tree mortality in a central Amazonian forest, J. Trop. Ecol., 19, 291–299, https://doi.org/10.1017/S0266467403003328, 2003. 
Bi, J., Knyazikhin, Y., Choi, S., Park, T., Barichivich, J., Ciais, P., Fu, R., Ganguly, S., Hall, F., Hilker, T., Huete, A., Jones, M., Kimball, J., Lyapustin, A. I., Mõttus, M., Nemani, R. R., Piao, S., Poulter, B., Saleska, S. R., Saatchi, S. S., Xu, L., Zhou, L., and Myneni, R. B.: Sunlight mediated seasonality in canopy structure and photosynthetic activity of Amazonian rainforests, Environ. Res. Lett., 10, 064014, https://doi.org/10.1088/1748-9326/10/6/064014, 2015. 
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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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