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首页|期刊导航|干旱区科学|Identification of dominant plant water-use strategies in arid zones under deuterium depletion conditions

Identification of dominant plant water-use strategies in arid zones under deuterium depletion conditions

DAI Ningze SHI Fengzhi WANG Yuehui YAO Peng ZHU Jianting ZHAO Chengyi

干旱区科学2026,Vol.18Issue(4):676-695,20.
干旱区科学2026,Vol.18Issue(4):676-695,20.DOI:10.1016/j.jaridl.2026.04.007

Identification of dominant plant water-use strategies in arid zones under deuterium depletion conditions

Identification of dominant plant water-use strategies in arid zones under deuterium depletion conditions

DAI Ningze 1SHI Fengzhi 1WANG Yuehui 2YAO Peng 1ZHU Jianting 3ZHAO Chengyi4

作者信息

  • 1. State Key Laboratory of Desert and Oasis Ecology,Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China||Aksu National Station of Observation and Research for Oasis Agro-ecosystem,Aksu 843017,China||University of Chinese Academy of Sciences,Beijing 100049,China
  • 2. Key Laboratory of Surficial Geochemistry,Ministry of Education,Department of Hydrosciences,School of Earth Sciences and Engineering,Nanjing University,Nanjing 210023,China
  • 3. Department of Civil and Architectural Engineering,University of Wyoming,Laramie,WY 82071,USA
  • 4. School of Geographical Sciences,Nanjing University of Information Science&Technology,Nanjing 210044,China
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摘要

关键词

plant water uptake/hydrogen isotopes/oxygen isotopes/cryogenic vacuum extraction(CVE)/deuterium depletion/Bayesian Mixing Model for Stable Isotope Analysis in R(MixSIAR)/Tarim River Basin

Key words

plant water uptake/hydrogen isotopes/oxygen isotopes/cryogenic vacuum extraction(CVE)/deuterium depletion/Bayesian Mixing Model for Stable Isotope Analysis in R(MixSIAR)/Tarim River Basin

引用本文复制引用

DAI Ningze,SHI Fengzhi,WANG Yuehui,YAO Peng,ZHU Jianting,ZHAO Chengyi..Identification of dominant plant water-use strategies in arid zones under deuterium depletion conditions[J].干旱区科学,2026,18(4):676-695,20.

基金项目

This research was supported by the National Key R&D Program of China(2023YFC3206801)and the National Natural Science Foundation of China(42171041). (2023YFC3206801)

干旱区科学

1674-6767

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