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

Viewed

Total article views: 2,294 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,647 584 63 2,294 169 35 48
  • HTML: 1,647
  • PDF: 584
  • XML: 63
  • Total: 2,294
  • Supplement: 169
  • BibTeX: 35
  • EndNote: 48
Views and downloads (calculated since 24 Aug 2021)
Cumulative views and downloads (calculated since 24 Aug 2021)

Viewed (geographical distribution)

Total article views: 2,294 (including HTML, PDF, and XML) Thereof 2,261 with geography defined and 33 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
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.
Altmetrics
Final-revised paper
Preprint