Department of Ecology and Evolutionary Biology, University of Colorado, Campus Box 334, Boulder, CO 80309, USA.
Oecologia. 2010 Feb;162(2):491-504. doi: 10.1007/s00442-009-1465-z. Epub 2009 Sep 27.
Ecosystem water-use efficiency (eWUE; the ratio of net ecosystem productivity to evapotranspiration rate) is a complex landscape-scale parameter controlled by both physical and biological processes occurring in soil and plants. Leaf WUE (lWUE; the ratio of leaf CO(2) assimilation rate to transpiration rate) is controlled at short time scales principally by leaf stomatal dynamics and this control varies among plant species. Little is known about how leaf-scale variation in lWUE influences landscape-scale variation in eWUE. We analyzed approximately seven thousand 30-min averaged eddy covariance observations distributed across 9 years in order to assess eWUE in two neighboring forest communities. Mean eWUE was 19% lower for the community in which Engelmann spruce and subalpine fir were dominant, compared to the community in which lodgepole pine was dominant. Of that 19% difference, 8% was attributed to residual bias in the analysis that favored periods with slightly drier winds for the spruce-fir community. In an effort to explain the remaining 11% difference, we assessed patterns in lWUE using C isotope ratios. When we focused on bulk tissue from older needles we detected significant differences in lWUE among tree species and between upper and lower canopy needles. However, when these differences were scaled to reflect vertical and horizontal leaf area distributions within the two communities, they provided no power to explain differences in eWUE that we observed in the eddy covariance data. When we focused only on bulk needle tissue of current-year needles for 3 of the 9 years, we also observed differences in lWUE among species and in needles from upper and lower parts of the canopy. When these differences in lWUE were scaled to reflect leaf area distributions within the two communities, we were able to explain 6.3% of the differences in eWUE in 1 year (2006), but there was no power to explain differences in the other 2 years (2003 and 2007). When we examined sugars extracted from needles at 3 different times during the growing season of 2007, we could explain 3.8-6.0% of the differences in eWUE between the two communities, but the difference in eWUE obtained from the eddy covariance record, and averaged over the growing season for this single year, was 32%. Thus, overall, after accounting for species effects on lWUE, we could explain little of the difference in eWUE between the two forest communities observed in the eddy covariance record. It is likely that water and C fluxes from soil, understory plants, and non-needle tissues, account for most of the differences observed in the eddy covariance data. For those cases where we could explain some of the difference in eWUE on the basis of species effects, we partitioned the scaled patterns in lWUE into two components: a component that is independent of canopy leaf area distribution, and therefore only dependent on species-specific differences in needle physiology; and a component that is independent of species differences in needle physiology, and only dependent on species-specific influences on canopy leaf area distribution. Only the component that is dependent on species influences on canopy leaf area distribution, and independent of inherent species differences in needle physiology, had potential to explain differences in eWUE between the two communities. Thus, when tree species effects are important, canopy structure, rather than species-specific needle physiology, has more potential to explain patterns in eWUE.
生态系统水分利用效率(eWUE;净生态系统生产力与蒸散率的比值)是一个复杂的景观尺度参数,受土壤和植物中发生的物理和生物过程控制。叶片水分利用效率(lWUE;叶片 CO2 同化率与蒸腾率的比值)主要受叶片气孔动态控制,这种控制在不同植物物种之间存在差异。对于叶片尺度上的 lWUE 变化如何影响景观尺度上的 eWUE 变化,我们知之甚少。我们分析了大约 7000 次 30 分钟的涡动协方差观测值,这些观测值分布在 9 年的时间内,以便评估两个相邻森林群落中的 eWUE。与以黑云杉和亚高山冷杉为主的群落相比,以黑云杉和亚高山冷杉为主的群落的平均 eWUE 低 19%。在这 19%的差异中,有 8%归因于分析中的剩余偏差,该偏差有利于对云杉-冷杉群落中略干燥风的时期进行分析。为了解释剩余的 11%差异,我们使用 C 同位素比来评估 lWUE 的模式。当我们专注于来自较老针叶的整体组织时,我们检测到树种之间以及冠层上下部针叶之间存在显著的 lWUE 差异。然而,当将这些差异按比例反映在两个群落内的垂直和水平叶片面积分布时,它们无法解释我们在涡动协方差数据中观察到的 eWUE 差异。当我们仅关注 9 年中的 3 年的当前年份针叶的整体组织时,我们也观察到树种之间以及冠层上下部针叶之间存在 lWUE 差异。当将这些 lWUE 差异按比例反映在两个群落内的叶片面积分布时,我们能够解释 1 年(2006 年)中 eWUE 差异的 6.3%,但无法解释其他 2 年(2003 年和 2007 年)的差异。当我们在 2007 年生长季节的 3 个不同时间点从针叶中提取糖时,我们可以解释两个群落之间 eWUE 差异的 3.8-6.0%,但从涡动协方差记录中获得的 eWUE 差异以及当年整个生长季节的平均值为 32%。因此,总的来说,在考虑物种对 lWUE 的影响后,我们只能解释在涡动协方差记录中观察到的两个森林群落之间 eWUE 差异的一小部分。很可能是土壤、林下植物和非针叶组织中的水和 C 通量解释了涡动协方差数据中观察到的大部分差异。对于那些我们可以基于物种效应解释部分 eWUE 差异的情况,我们将 lWUE 的比例模式分为两个组成部分:一个组成部分与冠层叶片面积分布无关,因此仅依赖于针叶生理学的物种特异性差异;另一个组成部分与针叶生理学的物种特异性差异无关,仅依赖于冠层叶片面积分布的物种特异性影响。只有依赖于物种对冠层叶片面积分布的影响,而不依赖于针叶生理学固有的物种差异的组成部分,才有可能解释两个群落之间的 eWUE 差异。因此,当树种效应很重要时,树冠结构而不是物种特异性的针叶生理学更有可能解释 eWUE 的模式。