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Responses of surface conductance to forest environments in the Far East

机译:表面电导对远东森林环境的响应

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The dependence of surface conductance G(s) on various variables in a forest environment is important for characterising the spatiotemporal variations of water, energy and CO2 exchange between the forest and the atmosphere. Using a Jarvis-type model, we examined the variation of G(s) in five different mature forests from three climate zones (boreal, cool- and warm-temperate) in the Far East. First, we applied the model using summertime G(s) data from each site separately (within-site analysis). We evaluated the maximum surface conductance G(smax) and parameters related to the response of G(s) to the environments. We found that these values differed among the locations. Second, we applied the model for pooled G(s) data from all the sites and calculated a common parameter set (pooled analysis). In the pooled model, the difference in the observed G(smax) among the sites was expressed as a function of soil water content and the leaf area index. In addition, the responses of G(s) to radiation, vapour pressure deficit and air temperature in different forests were also closely represented by common response functions. As a result, the pooled model could estimate the variation of G(s) at each site using one parameter set with similar precision to the within-site models. These results suggest that the surface conductance of the various mature forests had the same maximum value and response properties, although we were not able to verify this. Our new parameterisation concept for pooled G(s) data should be effective for simultaneous evaluations of the water, energy and CO2 exchanges of forests over wide regions. (C) 2008 Elsevier B.V. All rights reserved.
机译:在森林环境中,表面电导G(s)对各种变量的依赖性对于表征森林与大气之间水,能量和CO2交换的时空变化非常重要。使用Jarvis型模型,我们研究了远东三个气候区(北方,凉爽和暖温带)的五种不同成熟森林中G(s)的变化。首先,我们分别使用每个站点的夏季G(s)数据应用了模型(站点内分析)。我们评估了最大表面电导G(smax)和与G(s)对环境的响应相关的参数。我们发现这些值在位置之间有所不同。其次,我们将模型应用于所有站点的合并G(s)数据,并计算出一个公共参数集(合并分析)。在合并模型中,站点之间观测到的G(smax)的差异表示为土壤含水量和叶面积指数的函数。此外,G(s)对不同森林中的辐射,蒸气压赤字和气温的响应也由共同的响应函数紧密表示。结果,合并的模型可以使用一个参数集估计每个站点上G的变化,该参数集的精度与站点内模型相似。这些结果表明,尽管我们无法验证,但各种成熟森林的表面电导具有相同的最大值和响应特性。对于合并的G(s)数据,我们的新参数化概念应可有效地同时评估大范围森林的水,能源和CO2交换。 (C)2008 Elsevier B.V.保留所有权利。

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