文献类型：期刊文献

英文题名：Simulation of the topological development of young eucalyptus using a stochastic model and sampling measurement strategy

作者：Diao, Jun[1] De Reffye, Philippe[2] Lei, Xiangdong[1] Guo, Hong[1] Letort, Veronique[3]

第一作者：Diao, Jun

通信作者：Lei, XD[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]CIRAD, UMR AMAP, F-34000 Montpellier, France;[3]Ecole Cent Paris, Lab Appl Math, F-92290 Chatenay Malabry, France

年份：2012

卷号：80

起止页码：105-114

外文期刊名：COMPUTERS AND ELECTRONICS IN AGRICULTURE

收录：;EI(收录号：20120214669660);Scopus(收录号：2-s2.0-82155176168);WOS:【SCI-EXPANDED(收录号:WOS:000299714900013)】；

基金：We are grateful to Dr. Luo Jianzhong and Mrs. Shang Xiuhua from Eucalyptus Research Centre of the Chinese Academy of Forestry (CAF) and Mawu, Jiantao Rong and Fengqiang Liu from CAF for their contributions to field observations. Special thanks also go to Dr. Mengzhen Kang for her discussions on the model. The study was supported by the Chinese 948 Project (No. 2008-4-63) and the Natural Science Foundation of China (No. 30872022).

语种：英文

外文关键词：Eucalyptus; Survival probability; Mortality probability; Rhythm ratio; Random tree topological development

摘要：Tree crown architecture affects light interception, biomass production and mechanical stability. Crown architecture is largely determined by the topological development of the plant due to meristem activity. Modeling approaches can provide new insights into the dynamics of plant topology, but they are often hampered by experimental difficulties in data collection on complex trees with numerous internodes, especially in tropical tree species that present the additional difficulty of continuous growth with no marked cessation. Tree topological structure shows high variability resulting from genotypic and environmental factors in real stands. In this paper, a stochastic model was developed to describe the topological development of trees. In the model, growth and branching processes are driven by the respective probabilities of activity, rest or death of apical and lateral buds. Because of its mathematical formulation, the model inversion can be done analytically - which is rare - and parameter values can be estimated from experimental data. A new strategy was defined to sample measurements and applied to five eucalyptus trees. Incomplete systems were also defined for the case, common with trees, of incomplete datasets. After parameter estimation, simulation of random eucalyptus tree was presented. The model could describe tree topological development of eucalyptus reasonably well. This work offers a simple and practical method to describe the topological development of trees with continuous growth. It can realistically and flexibly describe the canopy topological development, and has the potential to be integrated with the process of biomass production and allocation for functional-structural plant modeling in the future. (C) 2011 Elsevier B.V. All rights reserved.