Griffin-Nolan Robert J, Ocheltree Troy W, Mueller Kevin E, Blumenthal Dana M, Kray Julie A, Knapp Alan K
Department of Biology, Colorado State University, Fort Collins, CO, 80523, USA.
Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, 80523, USA.
Oecologia. 2019 Feb;189(2):353-363. doi: 10.1007/s00442-019-04336-w. Epub 2019 Jan 9.
Community-scale surveys of plant drought tolerance are essential for understanding semi-arid ecosystems and community responses to climate change. Thus, there is a need for an accurate and rapid methodology for assessing drought tolerance strategies across plant functional types. The osmometer method for predicting leaf osmotic potential at full turgor (π), a key metric of leaf-level drought tolerance, has resulted in a 50-fold increase in the measurement speed of this trait; however, the applicability of this method has only been tested in woody species and crops. Here, we assess the osmometer method for use in herbaceous grassland species and test whether π is an appropriate plant trait for understanding drought strategies of herbaceous species as well as species distributions along climate gradients. Our model for predicting leaf turgor loss point (π) from π (π = 0.80π-0.845) is nearly identical to the model previously presented for woody species. Additionally, π was highly correlated with π for graminoid species (π = 0.944π-0.611; r = 0.96), a plant functional group previously flagged for having the potential to cause erroneous measurements when using an osmometer. We report that π, measured with an osmometer, is well correlated with other traits linked to drought tolerance (namely, leaf dry matter content and leaf vulnerability to hydraulic failure) as well as climate extremes linked to water availability. The validation of the osmometer method in an herb-dominated ecosystem paves the way for rapid community-scale surveys of drought tolerance across plant functional groups, which could improve trait-based predictions of ecosystem responses to climate change.
对植物耐旱性进行群落尺度的调查对于理解半干旱生态系统以及群落对气候变化的响应至关重要。因此,需要一种准确且快速的方法来评估不同植物功能类型的耐旱策略。用于预测完全膨压下叶片渗透势(π)的渗透压计方法,这是叶片水平耐旱性的一个关键指标,使得该性状的测量速度提高了50倍;然而,该方法的适用性仅在木本植物和作物中进行了测试。在这里,我们评估渗透压计方法在草本草地物种中的应用,并测试π是否是一个合适的植物性状,用于理解草本物种的干旱策略以及沿气候梯度的物种分布。我们从π预测叶片膨压损失点(π)的模型(π = 0.80π - 0.845)与之前针对木本植物提出的模型几乎相同。此外,对于禾本科植物物种,π与π高度相关(π = 0.944π - 0.611;r = 0.96),禾本科植物是一个植物功能组,之前有人指出在使用渗透压计时可能会导致测量错误。我们报告称,用渗透压计测量的π与其他与耐旱性相关的性状(即叶片干物质含量和叶片对水力故障的脆弱性)以及与水分可利用性相关的极端气候密切相关。在以草本植物为主的生态系统中对渗透压计方法的验证为跨植物功能组快速进行群落尺度的耐旱性调查铺平了道路,这可以改进基于性状的生态系统对气候变化响应的预测。