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Leaf traits and leaf nitrogen shift photosynthesis adaptive strategies among functional groups and diverse biomes

生物群落 常绿 灌木丛 每年落叶的 光合作用 福布 比叶面积 温带落叶林 温带森林 生物 灌木 温带雨林 植物 生态学 温带气候 生态系统 农学 草原
作者
Aman Khan,Yan Li,Md. Mahadi Hasan,Wei Wang,Kang Xu,Guiwu Zou,Xudong Li,Xiang‐Wen Fang
出处
期刊:Ecological Indicators [Elsevier BV]
卷期号:141: 109098-109098 被引量:12
标识
DOI:10.1016/j.ecolind.2022.109098
摘要

Leaf functional traits profoundly impact the function of diverse-biomes under different environmental conditions. Thus, it is urgent to deeply understand how leaf traits and leaf nitrogen (N) develop photosynthesis adaptive-strategies across functional groups and biomes. We compiled information from previous studies on six diverse-biomes under different climates to determine the difference in functional groups (forbs, deciduous-shrubs, deciduous-trees, and evergreen-needle) and related traits: photosynthesis (Amass, Aarea), dark respiration (dRmass, dRarea), Nmass, Narea, leaf life-span (LL), specific leaf area (SLA), and diffusive conductance (Gs). Then, we used non-linear modeling to examine the A-dR responses to leaf N. Among the biomes, desert grass-shrubland (Colorado) and warm temperate forest (South Carolina) had lower Amass, Nmass with lower SLA, while humid temperate forest (North Carolina) displayed higher Amass, Nmass with higher SLA, indicating that species in desert grass-shrubland and warm temperate biomes adapt conservative strategies while humid temperate species adapt acquisitive strategies for leaf maintenance against limited N and climate conditions. Among functional groups, forbs had higher Amass, dRmass and Nmass, deciduous-shrubs and trees had intermediate Amass, dRmass, and Nmass, while evergreen-needle had lower Amass, dRmass with lower Nmass. Forbs had minimum storage N (Astore), deciduous-shrubs and trees had intermediate Astore, while evergreen-needle had the highest Astore. We concluded that forbs needed a minimum N-investment for leaf maintenance followed by deciduous and evergreen-needle. These results reveal that leaf N and leaf traits support adaptive-strategies for A-dR that regulate leaf maintenance and photosynthesis capacity under limited resources and environmental conditions.
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