Preprints
https://doi.org/10.5194/esd-2020-75
https://doi.org/10.5194/esd-2020-75
19 Nov 2020
 | 19 Nov 2020
Status: this preprint was under review for the journal ESD. A final paper is not foreseen.

Studying the large-scale effect of leaf thermoregulation using an Earth system model

Marvin Heidkamp, Felix Ament, Philipp de Vrese, and Andreas Chlond

Abstract. Plants have the ability to regulate heat and water losses. This process also known as leaf thermoregulation helps to maintain the leaf temperature within an optimal range. In a number of laboratory and field experiments, the leaf temperature has been found to deviate substantially from the ambient temperature. In the present study, we address the question of whether the negative correlation between the leaf temperature excess and the ambient air temperature, which is characteristic of leaf thermoregulation, constitutes a robust feature at larger scales, across a broad range of atmospheric conditions and canopy characteristics. To this end, we developed a new dual-source canopy layer energy balance scheme (CEBa) and implemented it into JSBACH, the land component of the Max Planck Institute for Meteorology's Earth system model (MPI-ESM). The approach calculates the temperature and humidity in the ambient canopy air space, the temperature of the ground surface, and the temperature of the leaf as well as the energy and moisture fluxes between the different compartments. Here leaf thermoregulation is investigated using different modeling approaches, namely a zero-dimensional instantaneous solution of the energy balance as well as offline FLUXNET site experiments and coupled global simulations. With the help of the simulations at the site-level, we can show that the model is capable of reproducing the effect of leaf thermoregulation even though the simulated signal at the canopy scale is less pronounced than indicated by measurements at the leaf scale. However, on a global scale and over longer-timescales, this negative correlation is only simulated in idealized setups that neglect limitations on the plant available water, and even then, the signal is less pronounced than indicated by the short-term observations of individual leaves. When accounting for moisture limitations, we predominantly find positive correlations between leaf temperature excess and the ambient air temperature.

This preprint has been withdrawn.

Marvin Heidkamp, Felix Ament, Philipp de Vrese, and Andreas Chlond

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Marvin Heidkamp, Felix Ament, Philipp de Vrese, and Andreas Chlond
Marvin Heidkamp, Felix Ament, Philipp de Vrese, and Andreas Chlond

Viewed

Total article views: 1,158 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
848 274 36 1,158 174 39 45
  • HTML: 848
  • PDF: 274
  • XML: 36
  • Total: 1,158
  • Supplement: 174
  • BibTeX: 39
  • EndNote: 45
Views and downloads (calculated since 19 Nov 2020)
Cumulative views and downloads (calculated since 19 Nov 2020)

Viewed (geographical distribution)

Total article views: 1,015 (including HTML, PDF, and XML) Thereof 1,011 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Apr 2024
Download

This preprint has been withdrawn.

Short summary
This study deals with leaf thermoregulation, a process that describes the ability of leaves to buffer against ambient temperatures. In the past, this effect has been investigated at the leaf scale, but not on the canopy or global scale. Here we try to close this scientific gap by studying the large-scale effect of leaf thermoregulation using the Max Planck Institute's Earth system model. We believe that our study provides valuable insights for modelers and observers.
Altmetrics