کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4496234 | 1623870 | 2014 | 12 صفحه PDF | دانلود رایگان |
Author-Highlights
• We model the ‘soil–plant–air’ system describing stomatal responses to water.
• Our model is described by the dynamics of water and osmolytes transport in plant.
• The turgor pressure of a cell is taken to be a power function of its volume.
• Both stationary and nonstationary results agree qualitatively with the experimental data.
• Our model can be extended further to describe stomatal responses to several environmental factors.
Stomata respond in a common pattern to various hydraulic perturbations on any part of the ‘soil–plant–air’ system: initial transient ‘wrong-way’ responses and final stationary ‘right-way’ responses. In order to describe this pattern on the basis of statistical physics, we propose a simple model where turgor pressure of a cell is taken to be a power function of its volume, and obtain results in qualitative agreement with experimental data for responses to a variety of hydraulic perturbations: Firstly, stationary stomatal conductance as a function of the vapor pressure deficit divides into three regimes characterized by sensitivities of the stomatal conductance and the transpiration rate with respect to vapor pressure deficit; secondly, for every hydraulic perturbation, the initial transient ‘wrong-way’ responses always appear; thirdly, on condition that water is supplied insufficiently, stomatal oscillations are often observed; finally, stomatal responses following leaf excision exhibit, after the initial transient wrong-way responses, slow relaxation to stomatal closing. In particular, comparison of areoles having different numbers of stomata demonstrates that areoles with small numbers of stomata tend to provoke lack of water in the soil as well as in the plant. In addition, our model also describes well dependence of the stomatal conductance on temperature. It may be extended further to describe stomatal responses to other environmental factors such as carbon dioxide, light, and temperature.
Journal: Journal of Theoretical Biology - Volume 340, 7 January 2014, Pages 119–130