Evaluation of method to model stomatal conductance and its use to assess biomass increase in poplar trees

Doudou Li, Ximeng Li, Benye Xi and Virginia Hernandez-Santana

Agricultural Water Management, 2022, vol. 259, issue C

Abstract: Stomatal conductance (gs) is the main limiting factor for photosynthesis and is sensitive to plant water status. Accurately assessing the behavior of gs under water deficit stress is essential to model plants carbon and water flux, which govern vegetation biomass production and dynamics. However, direct measurement of gs with gas exchange analyzer can be time-consuming and laborious, especially under field conditions, thus constraining the data availability for validating the modeling outcome. This difficulty can be solved if measurement of gs is automated. Here, we report on dynamics of gs and the maximum (gsmax) of Populus tomentosa, derived from automatically recorded meteorological variables and sap flux density (Js) and turgor pressure sensors outputs (Z) measured in three P. tomentosa trees from a short-rotation plantation subjected to different water stress levels along a whole growing season. The simulated gsmax was related to aboveground (ABM) and underground biomass (UBM) increase by leaf area. Js and Z were continuously measured using sap flow and ZIM sensors. Our results showed that the sensitivity of Js to air vapor deficit (D) (i.e. Js/D) correlated well with gs, and the sensitivity of Z to D (i.e. dZ/dD) was well coupled with gsmax. In addition, the ABM increase was linearly aligned with simulated gsmax multiplied by leaf area (LA) (R2 > 0.7). Also, increment in UBM was significantly correlated with simulated gsmax * LA across all observed trees, being the best described by a logistic function (R2 > 0.7). We conclude that gs can be well simulated through automatic monitoring of Js and Z for different meteorological and soil water content conditions. Moreover, the simulated gsmax was also closely related to biomass production both above and underground, which opens the possibility for using it to manage irrigation in smart agriculture and forestry in the future.

Keywords: Drought; Biomass production; Turgor pressure; Sap flow; Stomatal conductance; ZIM probes (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378377421005059
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:259:y:2022:i:c:s0378377421005059

DOI: 10.1016/j.agwat.2021.107228

Access Statistics for this article

Agricultural Water Management is currently edited by B.E. Clothier, W. Dierickx, J. Oster and D. Wichelns

More articles in Agricultural Water Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().