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The coupled effect of soil and atmospheric constraints on the vulnerability and water use of two desert riparian ecosystems.

Authors :
Bai, Yan
Liu, Yanlan
Kueppers, Lara M.
Feng, Xue
Yu, Kailiang
Yang, Xiaofan
Li, Xiaoyan
Huang, Jianping
Source :
Agricultural & Forest Meteorology. Dec2021, Vol. 311, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

• The PHM captures the observed Ψ l , sap-flow and ecosystem ET. • Hydraulic sensitivities generally reduce as the water stresses intensify. • Ecosystem water flux and mortality risk are not always coupled. • Hydraulic traits control the stress resistance of desert riparian ecosystems. • Different water stresses have coupled impact on ET and mortality risk. Plant response to soil and atmospheric water stresses is the dominant control of Dryland ecosystem functions, affecting water resources, ecosystem stability and biodiversity. The link between water stresses and plant water status is regulated by plant hydraulics, of which the corresponding impact on plant water use and the susceptibility of Dryland ecosystems remains under-explored. We used a plant hydraulic model to describe hydraulic states and water flux of two species (Populus euphratica and Tamarix ramosissima) in desert riparian ecosystems. We optimized hydraulic parameters and tested the model using observed physiological states and ecosystem water flux. The optimized model was used to evaluate plant hydraulic sensitivity, tree mortality risk, and evapotranspiration under a wide range of water stress scenarios. The model captures the observed leaf water potential, sap-flow and ecosystem evapotranspiration. Our scenario analysis demonstrates that hydraulic sensitivities generally reduce as the water stresses intensify. The results highlight a strong coupled impact of the co-occurrence of soil and atmospheric water stresses on restricting ecosystem water flux and intensifying mortality risk. The assessment of multiple aspects of eco-physiological functions and the stress scenario analysis of desert riparian ecosystems will contribute to a better prediction of ecosystem functions and facilitate resource management under future climate. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01681923
Volume :
311
Database :
Academic Search Index
Journal :
Agricultural & Forest Meteorology
Publication Type :
Academic Journal
Accession number :
153526139
Full Text :
https://doi.org/10.1016/j.agrformet.2021.108701