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Higher optimal temperature for vegetation transpiration than for photosynthesis

文献类型：期刊论文

作者Xia, Haoyu11,12; Zhang, Fangyue10; Ciais, Philippe9; Stoy, Paul C.8; Peñuelas, Josep6,7; Lian, Xu5; Wang, Ying-Ping4; Makowski, David3; Luo, Yiqi2; Niu, Shuli11,12
刊名NATURE PLANTS
出版日期2026-04-15
卷号N/A
ISSN号2055-026X
DOI10.1038/s41477-026-02263-2
产权排序1
文献子类Article ; Early Access
英文摘要Plants assimilate carbon through photosynthesis (gross primary productivity, GPP) while losing water via transpiration (Trans), with both processes responding nonlinearly to temperature. Although the air temperature optimum of GPP (ToptGPP\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{\mathrm{opt}}<^>{\mathrm{GPP}}$$\end{document}) is well studied, the thermal response of Trans (ToptTrans\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{\mathrm{opt}}<^>{\mathrm{Trans}}$$\end{document}) remains unknown. Here, using global eddy covariance observations and sap flow measurements along with simulations from an Earth system model, we find that ToptTrans\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{\mathrm{opt}}<^>{\mathrm{Trans}}$$\end{document} is consistently higher than ToptGPP\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{\mathrm{opt}}<^>{\mathrm{GPP}}$$\end{document} across biomes and climates, indicating greater heat tolerance in Trans. Despite a strong correlation, their divergence suggests carbon uptake is more vulnerable to warming than water loss. Machine learning identifies maximum air temperature as the key driver of both optima, while their difference (Delta Topt\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\Delta T}_{\mathrm{opt}}$$\end{document}) is associated with vegetation water content. The Earth system model predicts spatial patterns of ToptTrans\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{\mathrm{opt}}<^>{\mathrm{Trans}}$$\end{document} and ToptGPP\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{\mathrm{opt}}<^>{\mathrm{GPP}}$$\end{document} that align with observations, but the model significantly underestimates the magnitudes of ToptTrans\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{\mathrm{opt}}<^>{\,\mathrm{Trans}}$$\end{document}, ToptGPP\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{\mathrm{opt}}<^>{\mathrm{GPP}}$$\end{document} and Delta Topt\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\Delta T}_{\mathrm{opt}}$$\end{document}. These results reveal a critical decoupling of carbon-water coordination under heat stress, with ecosystems sustaining Trans beyond ToptGPP\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{\mathrm{opt}}<^>{\mathrm{GPP}}$$\end{document} to cool leaves, but ultimately reducing Trans to conserve water.
URL标识查看原文
WOS关键词NET ECOSYSTEM EXCHANGE ; STOMATAL CONTROL ; MESOPHYLL CONDUCTANCE ; ATMOSPHERIC CO2 ; CARBON-DIOXIDE ; WATER ; ASSIMILATION ; LEAF ; RESPIRATION ; VARIABILITY
WOS研究方向Plant Sciences
语种英语
WOS记录号WOS:001741372300001
出版者NATURE PORTFOLIO
源URL[http://ir.igsnrr.ac.cn/handle/311030/221598]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Fu, Zheng
作者单位1.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ, USA
2.Cornell Univ, Sch Integrat Plant Sci, Ithaca, NY, USA;
3.Univ Paris Saclay, Unit Appl Math & Comp Sci, INRAE, AgroParisTech, Palaiseau, France;
4.CSIRO Environm, Clayton South, VIC, Australia;
5.Peking Univ, Coll Urban & Environm Sci, Beijing, Peoples R China;
6.UAB, CSIC, Global Ecol Unit, CREAF, Bellaterra, Spain;
7.CREAF, Cerdanyola Del Valles, Barcelona, Spain;
8.Univ Wisconsin, Dept Biol Syst Engn, Madison, WI, USA;
9.Univ Paris Saclay, Lab Sci Climat & Environm, LSCE, CEA,CNRSUVSQ,IPSL, Gif Sur Yvette, France;
10.Beijing Normal Univ, Coll Water Sci, Beijing, Peoples R China;
推荐引用方式
GB/T 7714		 Xia, Haoyu,Zhang, Fangyue,Ciais, Philippe,et al. Higher optimal temperature for vegetation transpiration than for photosynthesis[J]. NATURE PLANTS,2026,N/A.
APA Xia, Haoyu.,Zhang, Fangyue.,Ciais, Philippe.,Stoy, Paul C..,Peñuelas, Josep.,...&Fu, Zheng.(2026).Higher optimal temperature for vegetation transpiration than for photosynthesis.NATURE PLANTS,N/A.
MLA Xia, Haoyu,et al."Higher optimal temperature for vegetation transpiration than for photosynthesis".NATURE PLANTS N/A(2026).

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来源：地理科学与资源研究所

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