Publication Details

Reference Category Journals
DOI / URL link
Title (Primary) Simulating carbon stocks and fluxes of an African tropical montane forest with an individual-based forest model
Author Fischer, R.; Ensslin, A.; Rutten, G.; Fischer, M.; Schellenberger Costa, D.; Kleyer, M.; Hemp, A.; Paulick, S.; Huth, A.;
Journal PLOS ONE
Year 2015
Department OESA;
Volume 10
Issue 4
Language englisch;
POF III (all) T53;
Supplements https://ndownloader.figshare.com/articles/1395208/versions/1
UFZ wide themes RU5;
Abstract Tropical forests are carbon-dense and highly productive ecosystems. Consequently, they play an important role in the global carbon cycle. In the present study we used an individual-based forest model (FORMIND) to analyze the carbon balances of a tropical forest. The main processes of this model are tree growth, mortality, regeneration, and competition. Model parameters were calibrated using forest inventory data from a tropical forest at Mt. Kilimanjaro. The simulation results showed that the model successfully reproduces important characteristics of tropical forests (aboveground biomass, stem size distribution and leaf area index). The estimated aboveground biomass (385 t/ha) is comparable to biomass values in the Amazon and other tropical forests in Africa. The simulated forest reveals a gross primary production of 24 tcha-1yr-1. Modeling above- and belowground carbon stocks, we analyzed the carbon balance of the investigated tropical forest. The simulated carbon balance of this old-growth forest is zero on average. This study provides an example of how forest models can be used in combination with forest inventory data to investigate forest structure and local carbon balances.
ID 16092
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=16092
Fischer, R., Ensslin, A., Rutten, G., Fischer, M., Schellenberger Costa, D., Kleyer, M., Hemp, A., Paulick, S., Huth, A. (2015):
Simulating carbon stocks and fluxes of an African tropical montane forest with an individual-based forest model
PLOS One 10 (4), e0123300