Abstract

The diameter distribution of a given species of deciduous trees is well approximated by a Gamma distribution. Here we give new experimental evidence for this conjecture by analyzing deciduous tree size data in mature semi-natural forest and ancient, traditionally managed wood-pasture from Central Europe. These distribution functions collapse on a universal shape if the tree sizes are normalized to the mean value in the considered sample. A new evolutionary master equation is used to model the observed distribution. The model incorporates four ecological processes: tree growth, mortality, recruitment, and diversification. Utilizing simple and realistic kernel functions describing the first three, along with an assumed multiplicative dilution due to diversification, the stationary solution of the master equation yields the experimentally observed Gamma distribution. The model as it is formulated allows an analytically compact solution and has only two fitting parameters whose values are consistent with the experimental data related to these processes. We found that the equilibrium size distribution of tree species with different ecology, originating from two contrastingly different semi-natural ecosystem types can be accurately described by a single dynamical mean-field model.

Details

Title
Tree size distribution as the stationary limit of an evolutionary master equation
Author
Kelemen, Szabolcs 1 ; Józsa, Máté 1 ; Hartel, Tibor 2 ; Csóka, György 3 ; Néda, Zoltán 1 

 Babeş-Bolyai University, Faculty of Physics, Cluj-Napoca, Romania (GRID:grid.7399.4) (ISNI:0000 0004 1937 1397) 
 Babeş-Bolyai University, Faculty of Environmental Science and Engineering, Cluj-Napoca, Romania (GRID:grid.7399.4) (ISNI:0000 0004 1937 1397) 
 Forest Research Institute, University of Sopron, Sopron, Hungary (GRID:grid.410548.c) (ISNI:0000 0001 1457 0694) 
Pages
1168
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2913580330
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.