Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
State Key Laboratory of Vegetation & Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
Glob Chang Biol. 2023 Feb;29(4):1144-1159. doi: 10.1111/gcb.16518. Epub 2022 Nov 18.
Specific leaf area (SLA) is one of the most important plant functional traits. It integrates multiple functions and reflects strategies of plants to obtain resources. How plants employ different strategies (e.g., through SLA) to respond to dynamic environmental conditions remains poorly understood. This study aimed to explore the spatial variation in SLA and its divergent adaptation through the lens of biogeographic patterns, evolutionary history, and short-term responses. SLA data for 5424 plant species from 76 natural communities in China were systematically measured and integrated with meta-analysis of field experiments (i.e., global warming, drought, and nitrogen addition). The mean value of SLA across all species was 21.8 m kg , ranging from 0.9 to 110.2 m kg . SLA differed among different ecosystems, temperature zones, vegetation types, and functional groups. Phylogeny had a weak effect on SLA, but plant species evolved toward higher SLA. Furthermore, SLA responded nonlinearly to environmental change. Unexpectedly, radiation was one of the main factors determining the spatial variation in SLA on a large scale. Conversely, short-term manipulative experiments showed that SLA increased with increased resource availability and tended to stabilize with treatment duration. However, different species exhibited varying response patterns. Overall, variation in long-term adaptation of SLA to environmental gradients and its short-term response to resource pulses jointly improve plant adaptability to a changing environment. Overall SLA-environment relationships should be emphasized as a multidimensional strategy for elucidating environmental change in future research.
比叶面积(SLA)是最重要的植物功能性状之一。它综合了多种功能,反映了植物获取资源的策略。然而,植物如何利用不同的策略(例如,通过 SLA)来应对动态环境条件,目前仍知之甚少。本研究旨在通过生物地理格局、进化历史和短期响应的视角,探讨 SLA 的空间变异及其趋异适应。本研究系统地测量了来自中国 76 个自然群落的 5424 种植物的 SLA 数据,并结合野外实验(即全球变暖、干旱和氮添加)的荟萃分析。所有物种的 SLA 平均值为 21.8 m ² kg ,范围为 0.9 至 110.2 m ² kg 。SLA 在不同生态系统、温度带、植被类型和功能群之间存在差异。系统发育对 SLA 的影响较弱,但植物物种朝着更高的 SLA 进化。此外,SLA 对环境变化的响应是非线性的。出乎意料的是,辐射是决定 SLA 大尺度空间变异的主要因素之一。相反,短期操纵实验表明,SLA 随资源可用性的增加而增加,并随着处理持续时间的增加而趋于稳定。然而,不同的物种表现出不同的响应模式。总的来说,SLA 对环境梯度的长期适应及其对资源脉冲的短期响应的变化共同提高了植物对不断变化的环境的适应能力。总体而言,SLA-环境关系应作为未来研究中阐明环境变化的多维策略加以强调。