Divergent response and adaptation of specific leaf area to environmental change at different spatio‐temporal scales jointly improve plant survival

比叶面积 适应性 环境变化 气候变化 适应(眼睛) 生态学 生态系统 资源(消歧) 空间生态学 时间尺度 全球变化 生物 环境科学 自然地理学 地理 光合作用 计算机科学 植物 神经科学 计算机网络
作者
Zhaogang Liu,Ming Zhao,Hongxiang Zhang,Tingting Ren,Congcong Liu,Nianpeng He
出处
期刊:Global Change Biology [Wiley]
卷期号:29 (4): 1144-1159 被引量:45
标识
DOI:10.1111/gcb.16518
摘要

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 m2 kg-1 , ranging from 0.9 to 110.2 m2 kg-1 . 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.
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