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Variance in tree growth rates provides a key link for completing the theory of forest size structure formation.
Zhou, Jian; Yu, Kailiang; Lin, Guanghui; Wang, Zhiheng.
Afiliação
  • Zhou J; Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China. Electronic address: jianzhou@pku.edu.cn.
  • Yu K; High Meadows Environmental Institute, Princeton University, Princeton, NJ 08544, USA.
  • Lin G; Ministry of Education Key Laboratory of Earth Ecosystem Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China.
  • Wang Z; Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China. Electronic address: zhiheng.wang@pku.edu.cn.
J Theor Biol ; 529: 110857, 2021 11 21.
Article em En | MEDLINE | ID: mdl-34384836
ABSTRACT
In natural forests at a demographic equilibrium state, the size frequency distribution (SFD) of trees is linked with their size-dependent growth and mortality rates. While the mean growth rate (MGR) of each size class is generally used for determining the SFD, the variance in the growth rate (VGR) has always been ignored. Here, based on the analyses with Kolmogorov forward equation, we show that in general, the VGR can flatten the slope of the SFD and, in particular, can address the contradiction between the size-dependent MGR and the -2 power-law SFD in the metabolic scaling theory. We traced the origin of the VGR to the intrinsic stochasticity in the allometric growth coefficients of trees and deduced its functional form based on variance propagation. Using the forest censuses data from Barro Colorado Island, we verified the prediction of the VGR and indicated its indispensability in the theory of forest size-structure formation.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Árvores / Florestas Idioma: En Revista: J Theor Biol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Árvores / Florestas Idioma: En Revista: J Theor Biol Ano de publicação: 2021 Tipo de documento: Article