GreenLab模型在油松苗木库源关系分析中的应用

Hong Guo, V. Letort, L. Hong, T. Fourcaud, P. Cournède, Yuan-chang Lu, P. de Reffye
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引用次数: 21

摘要

自20世纪90年代以来,出现了新一代模型来模拟树木的生长,同时考虑了树木的结构和功能过程。然而,由于树木的拓扑复杂性和所需的大量测量,这些功能结构模型(fsm)的校准通常仍然是一个悬而未决的问题。在本文中,我们探索了一种基于GreenLab模型方法处理拟合问题的可能方法。本文收集了生长在北京附近的8株油松幼树的详细器官水平数据,包括拓扑和几何测量。介绍了GreenLab的适应性,以引入灵活的生物量分配模型来适应环生长。研究了异速生长规律和吸收关系等主要假设。通过定义平均树,解决了复杂分支结构的标定问题。对研究结果进行了解释,重点关注了次生生长的隐藏机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptation of the GreenLab Model for Analyzing Sink-Source Relationships in Chinese Pine Saplings
Since the 1990s, a new generation of models has emerged to simulate tree growth with consideration of both tree structure and functional processes. However, calibration of these functional-structural models (FSMs) often remains an open problem due to the topological complexity of trees and to the heavy measurements required. In this paper, we explore a possible way for dealing with the fitting problem, based on the GreenLab model approach. Detailed organ-level data including topological and geometrical measurements were collected on eight Chinese Pine (Pinus tabulaeformis Carr.) saplings grown near Beijing. Adaptation of GreenLab to introduce a flexible modeling for biomass allocation to ring growth is presented. The main assumptions, such as allometry rules and sink relationships, were investigated. The problem of calibration of a complex branching structure was solved by defining an average tree. The results were interpreted with particular focus on the ones concerning the hidden mechanisms of secondary growth.
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