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首页> 外文期刊>Ecological research >Seasonal variation in leaf properties and ecosystem carbon budget in a cool-temperate deciduous broad-leaved forest: simulation analysis at Takayama site, Japan
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Seasonal variation in leaf properties and ecosystem carbon budget in a cool-temperate deciduous broad-leaved forest: simulation analysis at Takayama site, Japan

机译：温带落叶阔叶林叶片特性和生态系统碳收支的季节性变化：日本高山市的模拟分析

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Seasonal changes in gross primary production (GPP) and net ecosystem production (NEP) in temperate deciduous forests are mostly driven by environmental conditions and the phenology of leaf demography. This study addresses another factor, temporal changes in leaf properties, i.e., leaf aging from emergence to senescence. A process-based model was used to link the ecosystem-scale carbon budget with leaf-level properties on the basis of field observation and scaling procedures; temporal variations in leaf thickness (leaf mass per area, LMA), photosynthetic rubisco (V_(cmax)) and electron-transport (J_(max)) capacity, and dark respiration (R_d) were empirically parameterized. The model was applied to a cool-temperate deciduous broad-leaved forest at Takayama, in central Japan, and validated with data of net ecosystem CO_2 exchange (NEE = -NEP) measured using the eddy-covariance method. NEP of the Takayama site varied seasonally from 3 g C m~(-2) day~(-1) net source in late winter to 5 g C m~(-2) day~(-1) net sink in early to mid-summer. A sensitivity experiment showed that removing the leaf-aging effect changed the seasonal CO_2 exchange pattern, and led to overestimation of annual GPP by 6% and annual NEP by 38%. We found that seasonal variation in V_(cmax) affected the seasonal pattern and annual budget of CO_2 exchange most strongly; LMA and R_d had moderate influences. The rapid change in V_(cmax) and R_d during leaf emergence and senescence was important in evaluating GPP and NEP of the temperate deciduous forest.
机译：温带落叶林的初级总产值（GPP）和净生态系统产量（NEP）的季节性变化主要是由环境条件和叶片人口统计学引起的。这项研究解决了另一个因素，即叶片特性的时间变化，即叶片从出苗到衰老的衰老。在野外观察和缩放程序的基础上，采用了基于过程的模型将生态系统规模的碳预算与叶片水平的特性联系起来；经验上参数化了叶片厚度（单位面积叶片质量，LMA），光合作用卢比斯科（V_（cmax））和电子传输（J_（max））容量以及暗呼吸（R_d）的时间变化。该模型已应用于日本中部高山上的温带落叶阔叶林，并通过使用涡度-协方差法测得的净生态系统CO_2交换量（NEE = -NEP）数据进行了验证。高山站点的NEP随季节变化，从冬末的3 g C m〜（-2）天〜（-1）净源到初中的5 g C m〜（-2）day〜（-1）净沉。 -夏天。敏感性实验表明，消除叶片衰老效应改变了季节性CO_2交换方式，导致年度GPP高估了6％，年度NEP被高估了38％。我们发现，V_（cmax）的季节变化对CO_2交换的季节模式和年度预算的影响最大。 LMA和R_d影响中等。在叶片出苗和衰老过程中，V_（cmax）和R_d的快速变化对于评估温带落叶林的GPP和NEP非常重要。

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