Articles | Volume 19, issue 7
Biogeosciences, 19, 1891–1911, 2022
Biogeosciences, 19, 1891–1911, 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 et al.

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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,, 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,, 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,, 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,, 2015. 
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.
Final-revised paper