Cargando…

Warming Treatment Methodology Affected the Response of Plant Ecophysiological Traits to Temperature Increases: A Quantitive Meta-Analysis

Global mean temperature is expected to significantly increase by the end of the twenty-first century and could have dramatic impacts on a plant's growth, physiology, and ecosystem processes. Temperature manipulative experiments have been conducted to understand the responsive pattern of plant e...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Dan, Wang, Hao, Wang, Pengpeng, Ling, Tianqi, Tao, Wenhui, Yang, Zaiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6743343/
https://www.ncbi.nlm.nih.gov/pubmed/31552059
http://dx.doi.org/10.3389/fpls.2019.00957
_version_ 1783451265559166976
author Wang, Dan
Wang, Hao
Wang, Pengpeng
Ling, Tianqi
Tao, Wenhui
Yang, Zaiqiang
author_facet Wang, Dan
Wang, Hao
Wang, Pengpeng
Ling, Tianqi
Tao, Wenhui
Yang, Zaiqiang
author_sort Wang, Dan
collection PubMed
description Global mean temperature is expected to significantly increase by the end of the twenty-first century and could have dramatic impacts on a plant's growth, physiology, and ecosystem processes. Temperature manipulative experiments have been conducted to understand the responsive pattern of plant ecophysiology to climate warming. However, it remains unknown how different methodology used in these experiments will affect plants ecophysiological responses to warming. We conducted a comprehensive meta-analysis of the warming manipulative studies to synthesize the ecophysiological traits responses to warming treatment of different intensities, durations, and conducted for different species and under different experimental settings. The results indicated that warming enhanced leaf dark respiration (R(d)) and specific leaf area (SLA) but decreased net photosynthetic rate (A(net)) and leaf nitrogen content (LN). The positive and negative effects of warming on R(d) and A(net) were greater for C(4) species than C(3) species, respectively. The negative effect of warming treatment on A(net) and LN and the positive effect on R(d) were more evident under >1 year warming treatment. Negative effects of warming were more evident for plants grown at <10 L pots when experiment duration was longer than 1 year. The magnitude of warming treatment had a significant impact on most of the parameters that were investigated in the study. Overall, the results showed that warming effects on plant ecophysiological traits varied among different response variables and PFTs and affected by the magnitude of temperature change and experimental methodology. The results highlight the need for cautiously selecting the values of plant ecophysiological parameters in forecasting ecosystem function changes in future climate regimes and designing controlled experiments to realistically reflecting ecosystems responses to future global warming.
format Online
Article
Text
id pubmed-6743343
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-67433432019-09-24 Warming Treatment Methodology Affected the Response of Plant Ecophysiological Traits to Temperature Increases: A Quantitive Meta-Analysis Wang, Dan Wang, Hao Wang, Pengpeng Ling, Tianqi Tao, Wenhui Yang, Zaiqiang Front Plant Sci Plant Science Global mean temperature is expected to significantly increase by the end of the twenty-first century and could have dramatic impacts on a plant's growth, physiology, and ecosystem processes. Temperature manipulative experiments have been conducted to understand the responsive pattern of plant ecophysiology to climate warming. However, it remains unknown how different methodology used in these experiments will affect plants ecophysiological responses to warming. We conducted a comprehensive meta-analysis of the warming manipulative studies to synthesize the ecophysiological traits responses to warming treatment of different intensities, durations, and conducted for different species and under different experimental settings. The results indicated that warming enhanced leaf dark respiration (R(d)) and specific leaf area (SLA) but decreased net photosynthetic rate (A(net)) and leaf nitrogen content (LN). The positive and negative effects of warming on R(d) and A(net) were greater for C(4) species than C(3) species, respectively. The negative effect of warming treatment on A(net) and LN and the positive effect on R(d) were more evident under >1 year warming treatment. Negative effects of warming were more evident for plants grown at <10 L pots when experiment duration was longer than 1 year. The magnitude of warming treatment had a significant impact on most of the parameters that were investigated in the study. Overall, the results showed that warming effects on plant ecophysiological traits varied among different response variables and PFTs and affected by the magnitude of temperature change and experimental methodology. The results highlight the need for cautiously selecting the values of plant ecophysiological parameters in forecasting ecosystem function changes in future climate regimes and designing controlled experiments to realistically reflecting ecosystems responses to future global warming. Frontiers Media S.A. 2019-09-06 /pmc/articles/PMC6743343/ /pubmed/31552059 http://dx.doi.org/10.3389/fpls.2019.00957 Text en Copyright © 2019 Wang, Wang, Wang, Ling, Tao and Yang. http://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
Wang, Dan
Wang, Hao
Wang, Pengpeng
Ling, Tianqi
Tao, Wenhui
Yang, Zaiqiang
Warming Treatment Methodology Affected the Response of Plant Ecophysiological Traits to Temperature Increases: A Quantitive Meta-Analysis
title Warming Treatment Methodology Affected the Response of Plant Ecophysiological Traits to Temperature Increases: A Quantitive Meta-Analysis
title_full Warming Treatment Methodology Affected the Response of Plant Ecophysiological Traits to Temperature Increases: A Quantitive Meta-Analysis
title_fullStr Warming Treatment Methodology Affected the Response of Plant Ecophysiological Traits to Temperature Increases: A Quantitive Meta-Analysis
title_full_unstemmed Warming Treatment Methodology Affected the Response of Plant Ecophysiological Traits to Temperature Increases: A Quantitive Meta-Analysis
title_short Warming Treatment Methodology Affected the Response of Plant Ecophysiological Traits to Temperature Increases: A Quantitive Meta-Analysis
title_sort warming treatment methodology affected the response of plant ecophysiological traits to temperature increases: a quantitive meta-analysis
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6743343/
https://www.ncbi.nlm.nih.gov/pubmed/31552059
http://dx.doi.org/10.3389/fpls.2019.00957
work_keys_str_mv AT wangdan warmingtreatmentmethodologyaffectedtheresponseofplantecophysiologicaltraitstotemperatureincreasesaquantitivemetaanalysis
AT wanghao warmingtreatmentmethodologyaffectedtheresponseofplantecophysiologicaltraitstotemperatureincreasesaquantitivemetaanalysis
AT wangpengpeng warmingtreatmentmethodologyaffectedtheresponseofplantecophysiologicaltraitstotemperatureincreasesaquantitivemetaanalysis
AT lingtianqi warmingtreatmentmethodologyaffectedtheresponseofplantecophysiologicaltraitstotemperatureincreasesaquantitivemetaanalysis
AT taowenhui warmingtreatmentmethodologyaffectedtheresponseofplantecophysiologicaltraitstotemperatureincreasesaquantitivemetaanalysis
AT yangzaiqiang warmingtreatmentmethodologyaffectedtheresponseofplantecophysiologicaltraitstotemperatureincreasesaquantitivemetaanalysis