Coupling Relationship of Leaf Economic and Hydraulic Traits of <i>Alhagi sparsifolia</i> Shap. in a Hyper-Arid Desert Ecosystem

Autores
Yin, Hui; Tariq, Akash; Zhang, Bo; Lv, Guanghui; Zeng, Fanjiang; Graciano, Corina; Santos, Mauro; Zhang, Zhihao; Wang, Peng; Mu, Shuyong
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this study, Alhagisparsifolia Shap. was used to test the hypothesis that leaf economic and hydraulic traits are coupled in plants in a hyper-arid region. Five economic traits and six hydraulic traits were examined to explore the relationship. Results showed that the stomatal density (SD) on both surfaces was coupled with maximum stomatal conductance to water vapor (gwmax) and leaf tissue density (TD). SD on adaxial surface (SDaba) was significantly positively related to vein density (VD) but negatively related to leaf thickness (LT) and stomatal length on adaxial surface (SLada). Nitrogen concentration based on mass (Nmass) was significantly negatively correlated with leaf mass per area (LMA), LT, and VD, whereas nitrogen concentration based on area (Narea) was significantly positively related to LMA and TD. Mean annual precipitation (MAP) contributed the most to the changes in LT and stomatal length (SL). Soil salt contributed the most to TD, SD, and gwmax. Soli nutrients influenced the most of LMA and VD. Mean annual temperature contributed the most to Nmass and Narea. In conclusion, the economics of leaves coupled with their hydraulic traits provides an economical and efficient strategy to adapt to the harsh environment in hyper-arid regions.
Instituto de Fisiología Vegetal
Materia
Ciencias Agrarias
coupling relation
leaf mass per area
mesophyll structure
stomata traits
tissue and vein density
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/125402

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network_name_str SEDICI (UNLP)
spelling Coupling Relationship of Leaf Economic and Hydraulic Traits of <i>Alhagi sparsifolia</i> Shap. in a Hyper-Arid Desert EcosystemYin, HuiTariq, AkashZhang, BoLv, GuanghuiZeng, FanjiangGraciano, CorinaSantos, MauroZhang, ZhihaoWang, PengMu, ShuyongCiencias Agrariascoupling relationleaf mass per areamesophyll structurestomata traitstissue and vein densityIn this study, Alhagisparsifolia Shap. was used to test the hypothesis that leaf economic and hydraulic traits are coupled in plants in a hyper-arid region. Five economic traits and six hydraulic traits were examined to explore the relationship. Results showed that the stomatal density (SD) on both surfaces was coupled with maximum stomatal conductance to water vapor (gwmax) and leaf tissue density (TD). SD on adaxial surface (SDaba) was significantly positively related to vein density (VD) but negatively related to leaf thickness (LT) and stomatal length on adaxial surface (SLada). Nitrogen concentration based on mass (Nmass) was significantly negatively correlated with leaf mass per area (LMA), LT, and VD, whereas nitrogen concentration based on area (Narea) was significantly positively related to LMA and TD. Mean annual precipitation (MAP) contributed the most to the changes in LT and stomatal length (SL). Soil salt contributed the most to TD, SD, and gwmax. Soli nutrients influenced the most of LMA and VD. Mean annual temperature contributed the most to Nmass and Narea. In conclusion, the economics of leaves coupled with their hydraulic traits provides an economical and efficient strategy to adapt to the harsh environment in hyper-arid regions.Instituto de Fisiología Vegetal2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/125402enginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2223-7747/10/9/1867info:eu-repo/semantics/altIdentifier/issn/2223-7747info:eu-repo/semantics/altIdentifier/doi/10.3390/plants10091867info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:21:56Zoai:sedici.unlp.edu.ar:10915/125402Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:21:56.586SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Coupling Relationship of Leaf Economic and Hydraulic Traits of <i>Alhagi sparsifolia</i> Shap. in a Hyper-Arid Desert Ecosystem
title Coupling Relationship of Leaf Economic and Hydraulic Traits of <i>Alhagi sparsifolia</i> Shap. in a Hyper-Arid Desert Ecosystem
spellingShingle Coupling Relationship of Leaf Economic and Hydraulic Traits of <i>Alhagi sparsifolia</i> Shap. in a Hyper-Arid Desert Ecosystem
Yin, Hui
Ciencias Agrarias
coupling relation
leaf mass per area
mesophyll structure
stomata traits
tissue and vein density
title_short Coupling Relationship of Leaf Economic and Hydraulic Traits of <i>Alhagi sparsifolia</i> Shap. in a Hyper-Arid Desert Ecosystem
title_full Coupling Relationship of Leaf Economic and Hydraulic Traits of <i>Alhagi sparsifolia</i> Shap. in a Hyper-Arid Desert Ecosystem
title_fullStr Coupling Relationship of Leaf Economic and Hydraulic Traits of <i>Alhagi sparsifolia</i> Shap. in a Hyper-Arid Desert Ecosystem
title_full_unstemmed Coupling Relationship of Leaf Economic and Hydraulic Traits of <i>Alhagi sparsifolia</i> Shap. in a Hyper-Arid Desert Ecosystem
title_sort Coupling Relationship of Leaf Economic and Hydraulic Traits of <i>Alhagi sparsifolia</i> Shap. in a Hyper-Arid Desert Ecosystem
dc.creator.none.fl_str_mv Yin, Hui
Tariq, Akash
Zhang, Bo
Lv, Guanghui
Zeng, Fanjiang
Graciano, Corina
Santos, Mauro
Zhang, Zhihao
Wang, Peng
Mu, Shuyong
author Yin, Hui
author_facet Yin, Hui
Tariq, Akash
Zhang, Bo
Lv, Guanghui
Zeng, Fanjiang
Graciano, Corina
Santos, Mauro
Zhang, Zhihao
Wang, Peng
Mu, Shuyong
author_role author
author2 Tariq, Akash
Zhang, Bo
Lv, Guanghui
Zeng, Fanjiang
Graciano, Corina
Santos, Mauro
Zhang, Zhihao
Wang, Peng
Mu, Shuyong
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Agrarias
coupling relation
leaf mass per area
mesophyll structure
stomata traits
tissue and vein density
topic Ciencias Agrarias
coupling relation
leaf mass per area
mesophyll structure
stomata traits
tissue and vein density
dc.description.none.fl_txt_mv In this study, Alhagisparsifolia Shap. was used to test the hypothesis that leaf economic and hydraulic traits are coupled in plants in a hyper-arid region. Five economic traits and six hydraulic traits were examined to explore the relationship. Results showed that the stomatal density (SD) on both surfaces was coupled with maximum stomatal conductance to water vapor (gwmax) and leaf tissue density (TD). SD on adaxial surface (SDaba) was significantly positively related to vein density (VD) but negatively related to leaf thickness (LT) and stomatal length on adaxial surface (SLada). Nitrogen concentration based on mass (Nmass) was significantly negatively correlated with leaf mass per area (LMA), LT, and VD, whereas nitrogen concentration based on area (Narea) was significantly positively related to LMA and TD. Mean annual precipitation (MAP) contributed the most to the changes in LT and stomatal length (SL). Soil salt contributed the most to TD, SD, and gwmax. Soli nutrients influenced the most of LMA and VD. Mean annual temperature contributed the most to Nmass and Narea. In conclusion, the economics of leaves coupled with their hydraulic traits provides an economical and efficient strategy to adapt to the harsh environment in hyper-arid regions.
Instituto de Fisiología Vegetal
description In this study, Alhagisparsifolia Shap. was used to test the hypothesis that leaf economic and hydraulic traits are coupled in plants in a hyper-arid region. Five economic traits and six hydraulic traits were examined to explore the relationship. Results showed that the stomatal density (SD) on both surfaces was coupled with maximum stomatal conductance to water vapor (gwmax) and leaf tissue density (TD). SD on adaxial surface (SDaba) was significantly positively related to vein density (VD) but negatively related to leaf thickness (LT) and stomatal length on adaxial surface (SLada). Nitrogen concentration based on mass (Nmass) was significantly negatively correlated with leaf mass per area (LMA), LT, and VD, whereas nitrogen concentration based on area (Narea) was significantly positively related to LMA and TD. Mean annual precipitation (MAP) contributed the most to the changes in LT and stomatal length (SL). Soil salt contributed the most to TD, SD, and gwmax. Soli nutrients influenced the most of LMA and VD. Mean annual temperature contributed the most to Nmass and Narea. In conclusion, the economics of leaves coupled with their hydraulic traits provides an economical and efficient strategy to adapt to the harsh environment in hyper-arid regions.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/125402
url http://sedici.unlp.edu.ar/handle/10915/125402
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2223-7747/10/9/1867
info:eu-repo/semantics/altIdentifier/issn/2223-7747
info:eu-repo/semantics/altIdentifier/doi/10.3390/plants10091867
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
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institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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