Manitašević Jovanović Sanja, Hočevar Katarina, Vuleta Ana, Tucić Branka
Department of Evolutionary Biology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, 11108 Belgrade, Serbia.
Independent Researcher, 11070 Belgrade, Serbia.
Plants (Basel). 2023 Aug 30;12(17):3114. doi: 10.3390/plants12173114.
Phenotypic plasticity is widely acknowledged as one of the most common solutions for coping with novel environmental conditions following climate change. However, it is less known whether the current amounts of trait plasticity, which is sufficient for matching with the contemporary climate, will be adequate when global temperatures exceed historical levels. We addressed this issue by exploring the responses of functional and structural leaf traits in clonal individuals to experimentally increased temperatures (~1.5 °C) using an open top chamber (OTC) design. We determined the phenotypic values of the specific leaf area, leaf dry matter content, specific leaf water content, and leaf thickness in the leaves sampled from the same clone inside and outside of the OTC deployed on it, over seasons and years within two natural populations. We analyzed the data using a repeated multivariate analysis of variance, which primarily focusses on the profiles (reaction norms (RNs)) of a variable gathered from the same individual at several different time points. We found that the mean RNs of all analyzed traits were parallel regardless of experienced temperatures, but differed in the level and the shape. The populations RNs were similar as well. As the amount of plasticity in the analyzed leaf trait was adequate for coping with elevated temperatures inside the OTCs, we predict that it will be also sufficient for responding to increased temperatures if they exceed the 1.5 °C target.
表型可塑性被广泛认为是应对气候变化后新环境条件的最常见解决方案之一。然而，目前足以与当代气候相匹配的性状可塑性水平，在全球气温超过历史水平时是否仍将足够，却鲜为人知。我们通过使用开顶式气室（OTC）设计，探索克隆个体中功能和结构叶片性状对实验性增温（约1.5°C）的响应，来解决这个问题。我们测定了在两个自然种群内，跨越季节和年份，从部署在其上的OTC内外同一克隆体上采集的叶片中，比叶面积、叶片干物质含量、比叶含水量和叶片厚度的表型值。我们使用重复多变量方差分析来分析数据，该分析主要关注从同一个体在几个不同时间点收集的一个变量的概况（反应规范（RNs））。我们发现，无论经历的温度如何，所有分析性状的平均RNs都是平行的，但在水平和形状上有所不同。种群的RNs也是相似的。由于分析的叶片性状中的可塑性水平足以应对OTC内的温度升高，我们预测，如果温度超过1.5°C目标，它也将足以应对温度升高的情况。
