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为什么大小很重要:树木直径分布和 sap 流参数对蒸腾作用的交互影响。

Why size matters: the interactive influences of tree diameter distribution and sap flow parameters on upscaled transpiration.

机构信息

Department of Natural Resources and the Environment, The University of New Hampshire, 46 College Road, Durham, NH 03824, USA.

Department of Soil Water and Climate, The University of Minnesota-Twin Cities, 1991 Upper Buford Circle, St Paul, MN 55108, USA.

出版信息

Tree Physiol. 2018 Feb 1;38(2):263-275. doi: 10.1093/treephys/tpx124.

Abstract

In stands with a broad range of diameters, a small number of very large trees can disproportionately influence stand basal area and transpiration (Et). Sap flow-based Et estimates may be particularly sensitive to large trees due to nonlinear relationships between tree-level water use (Q) and tree diameter at breast height (DBH). Because Q is typically predicted on the basis of DBH and sap flow rates measured in a subset of trees and then summed to obtain Et, we assessed the relative importance of DBH and sap flow variables (sap velocity, Vs, and sapwood depth, Rs) in determining the magnitude of Et and its dependence on large trees in a tropical montane forest ecosystem. Specifically, we developed a data-driven simulation framework to vary the relationship between DBH and Vs and stand DBH distribution and then calculate Q, Et and the proportion of Et contributed by the largest tree in each stand. Our results demonstrate that variation in how Rs is determined in the largest trees can alter estimates up to 26% of Et while variation in how Vs is determined can vary results by up to 132%. Taken together, these results highlight a great need to expand our understanding of water transport in large trees as this hinders our ability to predict water fluxes accurately from stand to catchment scales.

摘要

在具有广泛直径范围的林分中,少量非常大的树木可能会不成比例地影响林分的基础面积和蒸腾作用(Et)。基于 sap flow 的 Et 估算可能特别容易受到大树的影响,因为树木层面的用水量(Q)与胸径(DBH)之间存在非线性关系。由于 Q 通常是基于 DBH 和 sap flow 速率在树木的一部分中测量,并进行求和以获得 Et,因此我们评估了 DBH 和 sap flow 变量(sap velocity,Vs 和 sapwood depth,Rs)在确定 Et 的大小及其对热带山地森林生态系统中大树的依赖程度方面的相对重要性。具体来说,我们开发了一个数据驱动的模拟框架,以改变 DBH 和 Vs 之间的关系以及林分的 DBH 分布,然后计算 Q、Et 和每个林分中最大树木贡献的 Et 比例。我们的结果表明,最大树木中 Rs 确定方式的变化会使 Et 的估计值变化高达 26%,而 Vs 确定方式的变化会使结果变化高达 132%。综上所述,这些结果突出表明,我们需要扩大对大树中水分运输的理解,因为这会阻碍我们从林分到集水区准确预测水通量的能力。

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