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Shrub type dominates the vertical distribution of leaf C : N : P stoichiometry across an extensive altitudinal gradient
Zhao, Wenqiang2; Reich, Peter B.3; Yu, Qiannan1,2; Zhao, Ning4; Yin, Chunying2; Zhao, Chunzhang2; Li, Dandan2; Hu, Jun2; Li, Ting2; Yin, Huajun2
刊名BIOGEOSCIENCES
2018-04-09
卷号15期号:7页码:2033-2053
ISSN号1726-4170
DOI10.5194/bg-15-2033-2018
产权排序1
文献子类Article
英文摘要Understanding leaf stoichiometric patterns is crucial for improving predictions of plant responses to environmental changes. Leaf stoichiometry of terrestrial ecosystems has been widely investigated along latitudinal and longitudinal gradients. However, very little is known about the vertical distribution of leaf C : N : P and the relative effects of environmental parameters, especially for shrubs. Here, we analyzed the shrub leaf C, N and P patterns in 125 mountainous sites over an extensive altitudinal gradient (523-4685 m) on the Tibetan Plateau. Results showed that the shrub leaf C and C : N were 7.3-47.5% higher than those of other regional and global flora, whereas the leaf N and N: P were 10.2-75.8% lower. Leaf C increased with rising altitude and decreasing temperature, supporting the physiological acclimation mechanism that high leaf C (e.g., alpine or evergreen shrub) could balance the cell osmotic pressure and resist freezing. The largest leaf N and high leaf P occurred in valley region (altitude 1500 m), likely due to the large nutrient leaching from higher elevations, faster litter decomposition and nutrient resorption ability of deciduous broadleaf shrub. Leaf N: P ratio further indicated increasing N limitation at higher altitudes. Interestingly, drought severity was the only climatic factor positively correlated with leaf N and P, which was more appropriate for evaluating the impact of water status than precipitation. Among the shrub ecosystem and functional types (alpine, subalpine, montane, valley, evergreen, deciduous, broadleaf, and conifer), their leaf element contents and responses to environments were remarkably different. Shrub type was the largest contributor to the total variations in leaf stoichiometry, while climate indirectly affected the leaf C : N: P via its interactive effects on shrub type or soil. Collectively, the large heterogeneity in shrub type was the most important factor explaining the overall leaf C : N: P variations, despite the broad climate gradient on the plateau. Temperature and drought induced shifts in shrub type distribution will influence the nutrient accumulation in mountainous shrubs.
学科主题Environment ; Ecology
URL标识查看原文
WOS关键词ERICOID MYCORRHIZAL FUNGI ; PHOSPHORUS CONCENTRATIONS ; NITROGEN ; SOIL ; TERRESTRIAL ; CLIMATE ; GROWTH ; CARBON ; TREES ; TEMPERATURE
WOS研究方向Environmental Sciences & Ecology ; Geology
语种英语
出版者COPERNICUS GESELLSCHAFT MBH
WOS记录号WOS:000429474600002
内容类型期刊论文
源URL[http://210.75.237.14/handle/351003/29886]  
专题成都生物研究所_生态研究
作者单位1.Southwest Jiaotong University & Faculty of Geosciences and Environmental Engineering, Chengdu 611756, China;
2.CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences,Chengdu 610041, China;
3.Department of Forest Resources and Institute on the Environment, University of Minnesota, Minnesota 55108, USA;
4.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Wenqiang,Reich, Peter B.,Yu, Qiannan,et al. Shrub type dominates the vertical distribution of leaf C : N : P stoichiometry across an extensive altitudinal gradient[J]. BIOGEOSCIENCES,2018,15(7):2033-2053.
APA Zhao, Wenqiang.,Reich, Peter B..,Yu, Qiannan.,Zhao, Ning.,Yin, Chunying.,...&Liu, Qing.(2018).Shrub type dominates the vertical distribution of leaf C : N : P stoichiometry across an extensive altitudinal gradient.BIOGEOSCIENCES,15(7),2033-2053.
MLA Zhao, Wenqiang,et al."Shrub type dominates the vertical distribution of leaf C : N : P stoichiometry across an extensive altitudinal gradient".BIOGEOSCIENCES 15.7(2018):2033-2053.
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