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Elevation-Related Variation in Leaf Stomatal Traits as a Function of Plant Functional Type: Evidence from Changbai Mountain, China

Understanding the variation in stomatal characteristics in relation to climatic gradients can reveal the adaptation strategies of plants, and help us to predict their responses to future climate changes. In this study, we investigated stomatal density (SD) and stomatal length (SL) in 150 plant speci...

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Autores principales: Wang, Ruili, Yu, Guirui, He, Nianpeng, Wang, Qiufeng, Xia, Fucai, Zhao, Ning, Xu, Zhiwei, Ge, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269444/
https://www.ncbi.nlm.nih.gov/pubmed/25517967
http://dx.doi.org/10.1371/journal.pone.0115395
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author Wang, Ruili
Yu, Guirui
He, Nianpeng
Wang, Qiufeng
Xia, Fucai
Zhao, Ning
Xu, Zhiwei
Ge, Jianping
author_facet Wang, Ruili
Yu, Guirui
He, Nianpeng
Wang, Qiufeng
Xia, Fucai
Zhao, Ning
Xu, Zhiwei
Ge, Jianping
author_sort Wang, Ruili
collection PubMed
description Understanding the variation in stomatal characteristics in relation to climatic gradients can reveal the adaptation strategies of plants, and help us to predict their responses to future climate changes. In this study, we investigated stomatal density (SD) and stomatal length (SL) in 150 plant species along an elevation gradient (540–2357 m) in Changbai Mountain, China, and explored the patterns and drivers of stomatal characteristics across species and plant functional types (PFTs: trees, shrubs, and herbs). The average values of SD and SL for all species combined were 156 mm(–2) and 35 µm, respectively. SD was higher in trees (224 mm(–2)) than in shrubs (156 mm(–2)) or herbs (124 mm(–2)), and SL was largest in herbs (37 µm). SD was negatively correlated with SL in all species and PFTs (P<0.01). The relationship between stomatal characteristics and elevation differed among PFTs. In trees, SD decreased and SL increased with elevation; in shrubs and herbs, SD initially increased and then decreased. Elevation-related differences in SL were not significant. PFT explained 7.20–17.6% of the total variation in SD and SL; the contributions of CO(2) partial pressure ([Image: see text]), precipitation, and soil water content (SWC) were weak (0.02–2.28%). Our findings suggest that elevation-related patterns of stomatal characteristics in leaves are primarily a function of PFT, and highlight the importance of differences among PFTs in modeling gas exchange in terrestrial ecosystems under global climate change.
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spelling pubmed-42694442014-12-26 Elevation-Related Variation in Leaf Stomatal Traits as a Function of Plant Functional Type: Evidence from Changbai Mountain, China Wang, Ruili Yu, Guirui He, Nianpeng Wang, Qiufeng Xia, Fucai Zhao, Ning Xu, Zhiwei Ge, Jianping PLoS One Research Article Understanding the variation in stomatal characteristics in relation to climatic gradients can reveal the adaptation strategies of plants, and help us to predict their responses to future climate changes. In this study, we investigated stomatal density (SD) and stomatal length (SL) in 150 plant species along an elevation gradient (540–2357 m) in Changbai Mountain, China, and explored the patterns and drivers of stomatal characteristics across species and plant functional types (PFTs: trees, shrubs, and herbs). The average values of SD and SL for all species combined were 156 mm(–2) and 35 µm, respectively. SD was higher in trees (224 mm(–2)) than in shrubs (156 mm(–2)) or herbs (124 mm(–2)), and SL was largest in herbs (37 µm). SD was negatively correlated with SL in all species and PFTs (P<0.01). The relationship between stomatal characteristics and elevation differed among PFTs. In trees, SD decreased and SL increased with elevation; in shrubs and herbs, SD initially increased and then decreased. Elevation-related differences in SL were not significant. PFT explained 7.20–17.6% of the total variation in SD and SL; the contributions of CO(2) partial pressure ([Image: see text]), precipitation, and soil water content (SWC) were weak (0.02–2.28%). Our findings suggest that elevation-related patterns of stomatal characteristics in leaves are primarily a function of PFT, and highlight the importance of differences among PFTs in modeling gas exchange in terrestrial ecosystems under global climate change. Public Library of Science 2014-12-17 /pmc/articles/PMC4269444/ /pubmed/25517967 http://dx.doi.org/10.1371/journal.pone.0115395 Text en © 2014 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wang, Ruili
Yu, Guirui
He, Nianpeng
Wang, Qiufeng
Xia, Fucai
Zhao, Ning
Xu, Zhiwei
Ge, Jianping
Elevation-Related Variation in Leaf Stomatal Traits as a Function of Plant Functional Type: Evidence from Changbai Mountain, China
title Elevation-Related Variation in Leaf Stomatal Traits as a Function of Plant Functional Type: Evidence from Changbai Mountain, China
title_full Elevation-Related Variation in Leaf Stomatal Traits as a Function of Plant Functional Type: Evidence from Changbai Mountain, China
title_fullStr Elevation-Related Variation in Leaf Stomatal Traits as a Function of Plant Functional Type: Evidence from Changbai Mountain, China
title_full_unstemmed Elevation-Related Variation in Leaf Stomatal Traits as a Function of Plant Functional Type: Evidence from Changbai Mountain, China
title_short Elevation-Related Variation in Leaf Stomatal Traits as a Function of Plant Functional Type: Evidence from Changbai Mountain, China
title_sort elevation-related variation in leaf stomatal traits as a function of plant functional type: evidence from changbai mountain, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269444/
https://www.ncbi.nlm.nih.gov/pubmed/25517967
http://dx.doi.org/10.1371/journal.pone.0115395
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