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Differential Investment Strategies in Leaf Economic Traits Across Climate Regions Worldwide

The leaf economics spectrum (LES) is the leading theory of plant ecological strategies based on functional traits, which explains the trade-off between dry matter investment in leaf structure and the potential rate of resource return, revealing general patterns of leaf economic traits investment for...

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Autores principales: Ren, Liang, Huang, Yongmei, Pan, Yingping, Xiang, Xiang, Huo, Jiaxuan, Meng, Dehui, Wang, Yuanyuan, Yu, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959930/
https://www.ncbi.nlm.nih.gov/pubmed/35356106
http://dx.doi.org/10.3389/fpls.2022.798035
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author Ren, Liang
Huang, Yongmei
Pan, Yingping
Xiang, Xiang
Huo, Jiaxuan
Meng, Dehui
Wang, Yuanyuan
Yu, Cheng
author_facet Ren, Liang
Huang, Yongmei
Pan, Yingping
Xiang, Xiang
Huo, Jiaxuan
Meng, Dehui
Wang, Yuanyuan
Yu, Cheng
author_sort Ren, Liang
collection PubMed
description The leaf economics spectrum (LES) is the leading theory of plant ecological strategies based on functional traits, which explains the trade-off between dry matter investment in leaf structure and the potential rate of resource return, revealing general patterns of leaf economic traits investment for different plant growth types, functional types, or biomes. Prior work has revealed the moderating role of different environmental factors on the LES, but whether the leaf trait bivariate relationships are shifted across climate regions or across continental scales requires further verification. Here we use the Köppen–Geiger climate classification, a very widely used and robust criterion, as a basis for classifying climate regions to explore climatic differences in leaf trait relationships. We compiled five leaf economic traits from a global dataset, including leaf dry matter content (LDMC), specific leaf area (SLA), photosynthesis per unit of leaf dry mass (A(mass)), leaf nitrogen concentration (N(mass)), and leaf phosphorus concentration (P(mass)). Moreover, we primarily used the standardized major axis (SMA) analysis to establish leaf trait bivariate relationships and to explore differences in trait relationships across climate regions as well as intercontinental differences within the same climate type. Leaf trait relationships were significantly correlated across almost all subgroups (P < 0.001). However, there was no common slope among different climate zones or climate types and the slopes of the groups fluctuated sharply up and down from the global estimates. The range of variation in the SMA slope of each leaf relationship was as follows: LDMC–SLA relationships (from −0.84 to −0.41); A(mass)–SLA relationships (from 0.83 to 1.97); A(mass)–N(mass) relationships (from 1.33 to 2.25); N(mass)–P(mass) relationships (from 0.57 to 1.02). In addition, there was significant slope heterogeneity among continents within the Steppe climate (BS) or the Temperate humid climate (Cf). The shifts of leaf trait relationships in different climate regions provide evidence for environmentally driven differential plant investment in leaf economic traits. Understanding these differences helps to better calibrate various plant-climate models and reminds us that smaller-scale studies may need to be carefully compared with global studies.
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spelling pubmed-89599302022-03-29 Differential Investment Strategies in Leaf Economic Traits Across Climate Regions Worldwide Ren, Liang Huang, Yongmei Pan, Yingping Xiang, Xiang Huo, Jiaxuan Meng, Dehui Wang, Yuanyuan Yu, Cheng Front Plant Sci Plant Science The leaf economics spectrum (LES) is the leading theory of plant ecological strategies based on functional traits, which explains the trade-off between dry matter investment in leaf structure and the potential rate of resource return, revealing general patterns of leaf economic traits investment for different plant growth types, functional types, or biomes. Prior work has revealed the moderating role of different environmental factors on the LES, but whether the leaf trait bivariate relationships are shifted across climate regions or across continental scales requires further verification. Here we use the Köppen–Geiger climate classification, a very widely used and robust criterion, as a basis for classifying climate regions to explore climatic differences in leaf trait relationships. We compiled five leaf economic traits from a global dataset, including leaf dry matter content (LDMC), specific leaf area (SLA), photosynthesis per unit of leaf dry mass (A(mass)), leaf nitrogen concentration (N(mass)), and leaf phosphorus concentration (P(mass)). Moreover, we primarily used the standardized major axis (SMA) analysis to establish leaf trait bivariate relationships and to explore differences in trait relationships across climate regions as well as intercontinental differences within the same climate type. Leaf trait relationships were significantly correlated across almost all subgroups (P < 0.001). However, there was no common slope among different climate zones or climate types and the slopes of the groups fluctuated sharply up and down from the global estimates. The range of variation in the SMA slope of each leaf relationship was as follows: LDMC–SLA relationships (from −0.84 to −0.41); A(mass)–SLA relationships (from 0.83 to 1.97); A(mass)–N(mass) relationships (from 1.33 to 2.25); N(mass)–P(mass) relationships (from 0.57 to 1.02). In addition, there was significant slope heterogeneity among continents within the Steppe climate (BS) or the Temperate humid climate (Cf). The shifts of leaf trait relationships in different climate regions provide evidence for environmentally driven differential plant investment in leaf economic traits. Understanding these differences helps to better calibrate various plant-climate models and reminds us that smaller-scale studies may need to be carefully compared with global studies. Frontiers Media S.A. 2022-03-04 /pmc/articles/PMC8959930/ /pubmed/35356106 http://dx.doi.org/10.3389/fpls.2022.798035 Text en Copyright © 2022 Ren, Huang, Pan, Xiang, Huo, Meng, Wang and Yu. 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
Ren, Liang
Huang, Yongmei
Pan, Yingping
Xiang, Xiang
Huo, Jiaxuan
Meng, Dehui
Wang, Yuanyuan
Yu, Cheng
Differential Investment Strategies in Leaf Economic Traits Across Climate Regions Worldwide
title Differential Investment Strategies in Leaf Economic Traits Across Climate Regions Worldwide
title_full Differential Investment Strategies in Leaf Economic Traits Across Climate Regions Worldwide
title_fullStr Differential Investment Strategies in Leaf Economic Traits Across Climate Regions Worldwide
title_full_unstemmed Differential Investment Strategies in Leaf Economic Traits Across Climate Regions Worldwide
title_short Differential Investment Strategies in Leaf Economic Traits Across Climate Regions Worldwide
title_sort differential investment strategies in leaf economic traits across climate regions worldwide
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959930/
https://www.ncbi.nlm.nih.gov/pubmed/35356106
http://dx.doi.org/10.3389/fpls.2022.798035
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