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...
Main Authors: | , , , , , , , , , , |
---|---|
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 |
id |
doaj-36d1e751abf6473798eb5d5f5ca56fbe |
---|---|
record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
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 |
work_keys_str_mv |
AT wzhao shrubtypedominatestheverticaldistributionofleafcnpstoichiometryacrossanextensivealtitudinalgradient AT pbreich shrubtypedominatestheverticaldistributionofleafcnpstoichiometryacrossanextensivealtitudinalgradient AT qyu shrubtypedominatestheverticaldistributionofleafcnpstoichiometryacrossanextensivealtitudinalgradient AT qyu shrubtypedominatestheverticaldistributionofleafcnpstoichiometryacrossanextensivealtitudinalgradient AT nzhao shrubtypedominatestheverticaldistributionofleafcnpstoichiometryacrossanextensivealtitudinalgradient AT cyin shrubtypedominatestheverticaldistributionofleafcnpstoichiometryacrossanextensivealtitudinalgradient AT czhao shrubtypedominatestheverticaldistributionofleafcnpstoichiometryacrossanextensivealtitudinalgradient AT dli shrubtypedominatestheverticaldistributionofleafcnpstoichiometryacrossanextensivealtitudinalgradient AT jhu shrubtypedominatestheverticaldistributionofleafcnpstoichiometryacrossanextensivealtitudinalgradient AT tli shrubtypedominatestheverticaldistributionofleafcnpstoichiometryacrossanextensivealtitudinalgradient AT hyin shrubtypedominatestheverticaldistributionofleafcnpstoichiometryacrossanextensivealtitudinalgradient AT qliu shrubtypedominatestheverticaldistributionofleafcnpstoichiometryacrossanextensivealtitudinalgradient |
_version_ |
1725674524339339264 |
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 |