Chuine I
Institut des Sciences de l'Evolution, Université Montpellier 2, place E. Bataillon, Montpellier Cedex 5, 34095, France.
J Theor Biol. 2000 Dec 7;207(3):337-47. doi: 10.1006/jtbi.2000.2178.
Accurate plant phenology (seasonal plant activity driven by environmental factors) models are vital tools for ecosystem simulation models and for predicting the response of ecosystems to climate change. Since the early 1970s, efforts have concentrated on predicting phenology of the temperate and boreal forests because they represent one-third of the carbon captured in plant ecosystems and they are the principal ecosystems with seasonal patterns of growth on Earth (one-fifth of the plant ecosystems area). Numerous phenological models have been developed to predict the growth timing of temperate or boreal trees. They are in general empirical, nonlinear and non-nested. For these reasons they are particularly difficult to fit, to test and to compare with each other. The methodological difficulties as well as the diversity of models used have greatly slowed down their improvement. The aim of this study was to show that the most widely used models simulating vegetative or reproductive phenology of trees are particular cases of a more general model. This unified model has three main advantages. First, it allows for a direct estimation of (i) the response of bud growth to either chilling or forcing temperatures and (ii) the periods when these temperatures affect the bud growth. Second, it can be simplified according to standard statistical tests for any particular species. Third, it provides a standardized framework for phenological models, which is essential for comparative studies as well as for robust model identification.
精确的植物物候模型(由环境因素驱动的季节性植物活动)是生态系统模拟模型以及预测生态系统对气候变化响应的重要工具。自20世纪70年代初以来,研究工作主要集中在预测温带和北方森林的物候,因为它们占植物生态系统中捕获碳的三分之一,并且是地球上具有季节性生长模式的主要生态系统(占植物生态系统面积的五分之一)。已经开发了许多物候模型来预测温带或北方树木的生长时间。这些模型一般都是经验性的、非线性的且非嵌套的。因此,它们特别难以拟合、测试以及相互比较。方法上的困难以及所使用模型的多样性极大地减缓了它们的改进速度。本研究的目的是表明,模拟树木营养或生殖物候的最广泛使用的模型是一个更通用模型的特殊情况。这个统一模型有三个主要优点。第一,它允许直接估计:(i)芽生长对低温或催芽温度的响应,以及(ii)这些温度影响芽生长的时期。第二,它可以根据针对任何特定物种的标准统计测试进行简化。第三,它为物候模型提供了一个标准化框架,这对于比较研究以及稳健的模型识别至关重要。