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相对生长速率与比叶面积之间的相关性需要比叶面积与根系氮吸收速率之间的关联。

Correlation between relative growth rate and specific leaf area requires associations of specific leaf area with nitrogen absorption rate of roots.

作者信息

Osone Yoko, Ishida Atsushi, Tateno Masaki

机构信息

Department of Plant Ecology, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki 305-8687, Japan.

Department of Natural Science, International Christian University, Osawa 3-10-2, Mitaka, Tokyo 181-8585, Japan.

出版信息

New Phytol. 2008 Jul;179(2):417-427. doi: 10.1111/j.1469-8137.2008.02476.x.

Abstract

Close correlations between specific leaf area (SLA) and relative growth rate (RGR) have been reported in many studies. However, theoretically, SLA by itself has small net positive effect on RGR because any increase in SLA inevitably causes a decrease in area-based leaf nitrogen concentration (LNCa), another RGR component. It was hypothesized that, for a correlation between SLA and RGR, SLA needs to be associated with specific nitrogen absorption rate of roots (SAR), which counteracts the negative effect of SLA on LNCa. Five trees and six herbs were grown under optimal conditions and relationships between SAR and RGR components were analyzed using a model based on balanced growth hypothesis. SLA varied 1.9-fold between species. Simulations predicted that, if SAR is not associated with SLA, this variation in SLA would cause a47% decrease in LNCa along the SLA gradient, leading to a marginal net positive effect on RGR. In reality, SAR was positively related to SLA, showing a 3.9-fold variation, which largely compensated for the negative effect of SLA on LNCa. Consequently, LNCa values were almost constant across species and a positive SLA-RGR relationship was achieved. These results highlight the importance of leaf-root interactions in understanding interspecific differences in RGR.

摘要

许多研究报告了比叶面积(SLA)与相对生长速率(RGR)之间存在密切关联。然而,从理论上讲,SLA本身对RGR的净正效应较小,因为SLA的任何增加必然会导致基于面积的叶片氮浓度(LNCa)下降,而LNCa是RGR的另一个组成部分。据推测,对于SLA与RGR之间的相关性,SLA需要与根系的比氮吸收速率(SAR)相关联,这可以抵消SLA对LNCa的负面影响。在最佳条件下种植了5种树木和6种草本植物,并使用基于平衡生长假说的模型分析了SAR与RGR各组成部分之间的关系。不同物种间SLA的变化幅度为1.9倍。模拟预测,如果SAR与SLA不相关,SLA的这种变化将导致LNCa沿SLA梯度下降47%,从而对RGR产生微小的净正效应。实际上,SAR与SLA呈正相关,变化幅度为3.9倍,这在很大程度上补偿了SLA对LNCa的负面影响。因此,不同物种间的LNCa值几乎恒定,并实现了SLA与RGR的正相关关系。这些结果凸显了叶-根相互作用在理解RGR种间差异方面的重要性。

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