Shrub type dominates the vertical distribution of leaf C : N : P stoichiometry across an extensive altitudinal gradient

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 di...

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Main Authors: W. Zhao, P. B. Reich, Q. Yu, N. Zhao, C. Yin, C. Zhao, D. Li, J. Hu, T. Li, H. Yin, Q. Liu
Format: Article
Language:English
Published: Copernicus Publications 2018-04-01
Series:Biogeosciences
Online Access:https://www.biogeosciences.net/15/2033/2018/bg-15-2033-2018.pdf
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language English
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author W. Zhao
P. B. Reich
Q. Yu
Q. Yu
N. Zhao
C. Yin
C. Zhao
D. Li
J. Hu
T. Li
H. Yin
Q. Liu
spellingShingle W. Zhao
P. B. Reich
Q. Yu
Q. Yu
N. Zhao
C. Yin
C. Zhao
D. Li
J. Hu
T. Li
H. Yin
Q. Liu
Shrub type dominates the vertical distribution of leaf C : N : P stoichiometry across an extensive altitudinal gradient
Biogeosciences
author_facet W. Zhao
P. B. Reich
Q. Yu
Q. Yu
N. Zhao
C. Yin
C. Zhao
D. Li
J. Hu
T. Li
H. Yin
Q. Liu
author_sort W. Zhao
title Shrub type dominates the vertical distribution of leaf C : N : P stoichiometry across an extensive altitudinal gradient
title_short Shrub type dominates the vertical distribution of leaf C : N : P stoichiometry across an extensive altitudinal gradient
title_full Shrub type dominates the vertical distribution of leaf C : N : P stoichiometry across an extensive altitudinal gradient
title_fullStr Shrub type dominates the vertical distribution of leaf C : N : P stoichiometry across an extensive altitudinal gradient
title_full_unstemmed Shrub type dominates the vertical distribution of leaf C : N : P stoichiometry across an extensive altitudinal gradient
title_sort shrub type dominates the vertical distribution of leaf c : n : p stoichiometry across an extensive altitudinal gradient
publisher Copernicus Publications
series Biogeosciences
issn 1726-4170
1726-4189
publishDate 2018-04-01
description 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.
url https://www.biogeosciences.net/15/2033/2018/bg-15-2033-2018.pdf
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spelling doaj-36d1e751abf6473798eb5d5f5ca56fbe2020-11-24T22:49:54ZengCopernicus PublicationsBiogeosciences1726-41701726-41892018-04-01152033205310.5194/bg-15-2033-2018Shrub type dominates the vertical distribution of leaf C : N : P stoichiometry across an extensive altitudinal gradientW. Zhao0P. B. Reich1Q. Yu2Q. Yu3N. Zhao4C. Yin5C. Zhao6D. Li7J. Hu8T. Li9H. Yin10Q. Liu11CAS 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, ChinaDepartment of Forest Resources and Institute on the Environment, University of Minnesota, Minnesota 55108, USACAS 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, ChinaSouthwest Jiaotong University & Faculty of Geosciences and Environmental Engineering, Chengdu 611756, ChinaCold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, ChinaCAS 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, ChinaCAS 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, ChinaCAS 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, ChinaCAS 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, ChinaCAS 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, ChinaCAS 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, ChinaCAS 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, ChinaUnderstanding 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.https://www.biogeosciences.net/15/2033/2018/bg-15-2033-2018.pdf