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Determinants of the N content of Quercus wutaishanica leaves in the Loess Plateau: a structural equation modeling approach
Most terrestrial ecosystems are nitrogen (N)-limited. The elucidation of the multivariate relationships among environmental drivers, leaf morphological traits, and foliar N of dominant species which are critical to the functioning of forests remains a critical challenge for ecologists. We sampled le...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4882524/ https://www.ncbi.nlm.nih.gov/pubmed/27228948 http://dx.doi.org/10.1038/srep26845 |
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author | Xing, Kaixiong Kang, Muyi Chen, Han Y. H. Zhao, Mingfei Wang, Yuhang Wang, Guoyi Chen, Chen Liu, Yang Dong, Xiaobin |
author_facet | Xing, Kaixiong Kang, Muyi Chen, Han Y. H. Zhao, Mingfei Wang, Yuhang Wang, Guoyi Chen, Chen Liu, Yang Dong, Xiaobin |
author_sort | Xing, Kaixiong |
collection | PubMed |
description | Most terrestrial ecosystems are nitrogen (N)-limited. The elucidation of the multivariate relationships among environmental drivers, leaf morphological traits, and foliar N of dominant species which are critical to the functioning of forests remains a critical challenge for ecologists. We sampled leaves of Quercus wutaishanica across a broad natural gradient in the Loess Plateau, China, and employed structural equation modelling to evaluate the causal pathways and the relative importance of drivers of the foliar N per unit area (N(area)) and per unit mass (N(mass)). We found that (1) N(mass) and N(area) were primarily affected by leaf morphological traits instead of environmental variables and that leaf morphological traits accounted for most of their variations; (2) the total soil potassium and phosphorus and mean annual precipitation had different effects on N(mass) and N(area) via different pathways and path coefficients, whereas the mean annual temperature and total soil N had non-significant effects on N(mass) and N(area). Our results demonstrated that variations in N(mass) and N(area) within Quercus wutaishanica were strongly linked to their leaf morphological traits and that the leaf N was also influenced by mean annual precipitation and soil phosphorus and potassium instead of soil N in the Loess Plateau, China. |
format | Online Article Text |
id | pubmed-4882524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48825242016-06-08 Determinants of the N content of Quercus wutaishanica leaves in the Loess Plateau: a structural equation modeling approach Xing, Kaixiong Kang, Muyi Chen, Han Y. H. Zhao, Mingfei Wang, Yuhang Wang, Guoyi Chen, Chen Liu, Yang Dong, Xiaobin Sci Rep Article Most terrestrial ecosystems are nitrogen (N)-limited. The elucidation of the multivariate relationships among environmental drivers, leaf morphological traits, and foliar N of dominant species which are critical to the functioning of forests remains a critical challenge for ecologists. We sampled leaves of Quercus wutaishanica across a broad natural gradient in the Loess Plateau, China, and employed structural equation modelling to evaluate the causal pathways and the relative importance of drivers of the foliar N per unit area (N(area)) and per unit mass (N(mass)). We found that (1) N(mass) and N(area) were primarily affected by leaf morphological traits instead of environmental variables and that leaf morphological traits accounted for most of their variations; (2) the total soil potassium and phosphorus and mean annual precipitation had different effects on N(mass) and N(area) via different pathways and path coefficients, whereas the mean annual temperature and total soil N had non-significant effects on N(mass) and N(area). Our results demonstrated that variations in N(mass) and N(area) within Quercus wutaishanica were strongly linked to their leaf morphological traits and that the leaf N was also influenced by mean annual precipitation and soil phosphorus and potassium instead of soil N in the Loess Plateau, China. Nature Publishing Group 2016-05-27 /pmc/articles/PMC4882524/ /pubmed/27228948 http://dx.doi.org/10.1038/srep26845 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Xing, Kaixiong Kang, Muyi Chen, Han Y. H. Zhao, Mingfei Wang, Yuhang Wang, Guoyi Chen, Chen Liu, Yang Dong, Xiaobin Determinants of the N content of Quercus wutaishanica leaves in the Loess Plateau: a structural equation modeling approach |
title | Determinants of the N content of Quercus wutaishanica leaves in the Loess Plateau: a structural equation modeling approach |
title_full | Determinants of the N content of Quercus wutaishanica leaves in the Loess Plateau: a structural equation modeling approach |
title_fullStr | Determinants of the N content of Quercus wutaishanica leaves in the Loess Plateau: a structural equation modeling approach |
title_full_unstemmed | Determinants of the N content of Quercus wutaishanica leaves in the Loess Plateau: a structural equation modeling approach |
title_short | Determinants of the N content of Quercus wutaishanica leaves in the Loess Plateau: a structural equation modeling approach |
title_sort | determinants of the n content of quercus wutaishanica leaves in the loess plateau: a structural equation modeling approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4882524/ https://www.ncbi.nlm.nih.gov/pubmed/27228948 http://dx.doi.org/10.1038/srep26845 |
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