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Tree size distribution as the stationary limit of an evolutionary master equation
by
Kelemen, Szabolcs
, Néda, Zoltán
, Józsa, Máté
, Csóka, György
, Hartel, Tibor
in
631/553/1745
/ 631/553/2393
/ 639/705/531
/ 639/766/530
/ Deciduous trees
/ Ecosystems
/ Forests
/ Geographical distribution
/ Humanities and Social Sciences
/ Mortality
/ multidisciplinary
/ Pasture
/ Pastures
/ Plant species
/ Science
/ Science (multidisciplinary)
/ Size distribution
/ Trees
2024
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Tree size distribution as the stationary limit of an evolutionary master equation
by
Kelemen, Szabolcs
, Néda, Zoltán
, Józsa, Máté
, Csóka, György
, Hartel, Tibor
in
631/553/1745
/ 631/553/2393
/ 639/705/531
/ 639/766/530
/ Deciduous trees
/ Ecosystems
/ Forests
/ Geographical distribution
/ Humanities and Social Sciences
/ Mortality
/ multidisciplinary
/ Pasture
/ Pastures
/ Plant species
/ Science
/ Science (multidisciplinary)
/ Size distribution
/ Trees
2024
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Tree size distribution as the stationary limit of an evolutionary master equation
by
Kelemen, Szabolcs
, Néda, Zoltán
, Józsa, Máté
, Csóka, György
, Hartel, Tibor
in
631/553/1745
/ 631/553/2393
/ 639/705/531
/ 639/766/530
/ Deciduous trees
/ Ecosystems
/ Forests
/ Geographical distribution
/ Humanities and Social Sciences
/ Mortality
/ multidisciplinary
/ Pasture
/ Pastures
/ Plant species
/ Science
/ Science (multidisciplinary)
/ Size distribution
/ Trees
2024
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Tree size distribution as the stationary limit of an evolutionary master equation
Journal Article
Tree size distribution as the stationary limit of an evolutionary master equation
2024
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Overview
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.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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