RT info:eu-repo/semantics/article
T1 Modelling tree growth in monospecific forests from forest inventory data
A1 Sáez Cano, Guadalupe
A1 Marvá Ruiz, Marcos
A1 Ruiz Benito, Paloma
A1 Zavala Gironés, Miguel Ángel de
K1 Carbon storage
K1 Differential equations
K1 National Forest Inventory
K1 Dbh dynamics
K1 Short-term prediction
K1 Medio Ambiente
K1 Environmental science
AB The prediction of tree growth is key to further understand the carbon sink role of forests and the short-term forest capacity on climate change mitigation. In this work, we used large-scale data available from three consecutive forest inventories in a Euro-Mediterranean region and the Bertalanffy?Chapman?Richards equation to model up to a decade?s tree size variation in monospecific forests in the growing stages. We showed that a tree-level fitting with ordinary differential equations can be used to forecast tree diameter growth across time and space as function of environmental characteristics and initial size. This modelling approximation was applied at different aggregation levels to monospecific regions with forest inventories to predict trends in aboveground tree biomass stocks. Furthermore, we showed that this model accurately forecasts tree growth temporal dynamics as a function of size and environmental conditions. Further research to provide longer term prediction forest stock dynamics in a wide variety of forests should model regeneration and mortality processes and biotic interactions.
SN 1999-4907
YR 2021
FD 2021
LK http://hdl.handle.net/10017/50732
UL http://hdl.handle.net/10017/50732
LA spa
DS MINDS@UW
RD 23-abr-2024