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Driving factors of community-level leaf stoichiometry patterns in a typical temperate mountain meadow ecosystem of northern China

In ecological stoichiometry, the stoichiometry and spatial distribution of leaf carbon, nitrogen, and phosphorus are important research topics. Various studies have assessed leaf stoichiometry and its relationships with environmental factors at different scales. However, how the leaf carbon, nitroge...

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Autores principales: Zhang, Xiaolong, Qin, Hao, Zhang, Yinbo, Niu, Junjie, Wang, Yongji, Shi, Lijiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435321/
https://www.ncbi.nlm.nih.gov/pubmed/37600167
http://dx.doi.org/10.3389/fpls.2023.1141765
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author Zhang, Xiaolong
Qin, Hao
Zhang, Yinbo
Niu, Junjie
Wang, Yongji
Shi, Lijiang
author_facet Zhang, Xiaolong
Qin, Hao
Zhang, Yinbo
Niu, Junjie
Wang, Yongji
Shi, Lijiang
author_sort Zhang, Xiaolong
collection PubMed
description In ecological stoichiometry, the stoichiometry and spatial distribution of leaf carbon, nitrogen, and phosphorus are important research topics. Various studies have assessed leaf stoichiometry and its relationships with environmental factors at different scales. However, how the leaf carbon, nitrogen and phosphorus stoichiometric characteristics of the same vegetation type at the community level vary with environmental factors along a continuous altitudinal gradient remains poorly understood. In this paper, 13 sampling sites along an altitudinal gradient of 1,800—3,011 m in a typical temperate mountain meadow ecosystem on the southern slope of the Wutai Mountain in North China were sampled to explore the response of leaf carbon, nitrogen and phosphorus stoichiometric characteristics to altitude change using correlation analysis, and then quantified the contribution of driving factors using canonical correspondence analysis (CCA) and variation partitioning. We found that the community-level leaf stoichiometry of mountain meadows differed significantly at different altitudes, and an increase in altitude significantly decreased community-level leaf total nitrogen (LTN) and leaf total phosphorus (LTP); however, the leaf total carbon (LTC), C∶N, C∶P, and N∶P increased with an increase in altitude. Additionally, with increasing altitude, soil properties showed significant trends. Soil organic carbon (SOC), soil total nitrogen (STN), soil total phosphorus (STP), soil water content and soil electrical conductivity increased significantly, but soil temperature, soil bulk density and soil pH exhibited the opposite trend. Our results suggested that altitude, soil electrical conductivity and soil bulk density significantly influenced the changes in the leaf stoichiometric characteristics, explaining 75.5% of the total variation, and altitude had the greatest influence (36.6%). In the temperate mountains, altitude played a decisive role in affecting patterns of meadow plant nutrients and stoichiometry and was more important than soil in explaining leaf C∶N∶P stoichiometry variations. Our findings provide important references to understand the responses of plant stoichiometry to altitudinal gradients.
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spelling pubmed-104353212023-08-18 Driving factors of community-level leaf stoichiometry patterns in a typical temperate mountain meadow ecosystem of northern China Zhang, Xiaolong Qin, Hao Zhang, Yinbo Niu, Junjie Wang, Yongji Shi, Lijiang Front Plant Sci Plant Science In ecological stoichiometry, the stoichiometry and spatial distribution of leaf carbon, nitrogen, and phosphorus are important research topics. Various studies have assessed leaf stoichiometry and its relationships with environmental factors at different scales. However, how the leaf carbon, nitrogen and phosphorus stoichiometric characteristics of the same vegetation type at the community level vary with environmental factors along a continuous altitudinal gradient remains poorly understood. In this paper, 13 sampling sites along an altitudinal gradient of 1,800—3,011 m in a typical temperate mountain meadow ecosystem on the southern slope of the Wutai Mountain in North China were sampled to explore the response of leaf carbon, nitrogen and phosphorus stoichiometric characteristics to altitude change using correlation analysis, and then quantified the contribution of driving factors using canonical correspondence analysis (CCA) and variation partitioning. We found that the community-level leaf stoichiometry of mountain meadows differed significantly at different altitudes, and an increase in altitude significantly decreased community-level leaf total nitrogen (LTN) and leaf total phosphorus (LTP); however, the leaf total carbon (LTC), C∶N, C∶P, and N∶P increased with an increase in altitude. Additionally, with increasing altitude, soil properties showed significant trends. Soil organic carbon (SOC), soil total nitrogen (STN), soil total phosphorus (STP), soil water content and soil electrical conductivity increased significantly, but soil temperature, soil bulk density and soil pH exhibited the opposite trend. Our results suggested that altitude, soil electrical conductivity and soil bulk density significantly influenced the changes in the leaf stoichiometric characteristics, explaining 75.5% of the total variation, and altitude had the greatest influence (36.6%). In the temperate mountains, altitude played a decisive role in affecting patterns of meadow plant nutrients and stoichiometry and was more important than soil in explaining leaf C∶N∶P stoichiometry variations. Our findings provide important references to understand the responses of plant stoichiometry to altitudinal gradients. Frontiers Media S.A. 2023-08-03 /pmc/articles/PMC10435321/ /pubmed/37600167 http://dx.doi.org/10.3389/fpls.2023.1141765 Text en Copyright © 2023 Zhang, Qin, Zhang, Niu, Wang and Shi https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Zhang, Xiaolong
Qin, Hao
Zhang, Yinbo
Niu, Junjie
Wang, Yongji
Shi, Lijiang
Driving factors of community-level leaf stoichiometry patterns in a typical temperate mountain meadow ecosystem of northern China
title Driving factors of community-level leaf stoichiometry patterns in a typical temperate mountain meadow ecosystem of northern China
title_full Driving factors of community-level leaf stoichiometry patterns in a typical temperate mountain meadow ecosystem of northern China
title_fullStr Driving factors of community-level leaf stoichiometry patterns in a typical temperate mountain meadow ecosystem of northern China
title_full_unstemmed Driving factors of community-level leaf stoichiometry patterns in a typical temperate mountain meadow ecosystem of northern China
title_short Driving factors of community-level leaf stoichiometry patterns in a typical temperate mountain meadow ecosystem of northern China
title_sort driving factors of community-level leaf stoichiometry patterns in a typical temperate mountain meadow ecosystem of northern china
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435321/
https://www.ncbi.nlm.nih.gov/pubmed/37600167
http://dx.doi.org/10.3389/fpls.2023.1141765
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