4.5 Article

Combining the [ABA] and net photosynthesis-based model equations of stomatal conductance

Journal

ECOLOGICAL MODELLING
Volume 300, Issue -, Pages 81-88

Publisher

ELSEVIER
DOI: 10.1016/j.ecolmodel.2015.01.005

Keywords

Stomatal conductance; ABA; Soil moisture; Terrestrial carbon cycle; General circulation models; Climate change

Categories

Funding

  1. NERC CEH Integrating Fund
  2. NERC CEH National Capability Fund
  3. NERC [ceh020001] Funding Source: UKRI
  4. Natural Environment Research Council [ceh020001] Funding Source: researchfish

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Stomatal conductance g(s) is variously depicted as being dependent on environmental conditions (Jarvis, 976), transpiration (Monteith, 1995), net photosynthesis (Leuning, 1995) or chemical signalling arriving in the xylem (Tardieu and Davies, 1993). Accurate descriptions of g(s) are being increasingly demanded in the large-scale land surface model components of General Circulation Models (GCMs) to predict future land-atmospheric fluxes of water vapour, heat and carbon dioxide. The JULES model, for instance, uses the net photosynthesis description combined with a relatively simple semi-linear dependence on soil moisture content that modulates the photosynthesis dependence (Cox et al., 1998). Dewar (2002) combines the Leuning (1995) and Tardieu and Davies (1993) models. We revisit that combination, and discuss whether the Vapour Pressure Deficit (VPD) implicit in both components is different or in common. Further, we show a potential re-arrangement of the combined equations reveals that this model for g(s) can be considered as being dependent on only four variables: evaporative flux J(w), net photosynthesis a(n), soil moisture content theta and ambient CO2 concentration C-a. Expressed this way, g(s) is influenced by two relatively slowly varying stores of the hydrological and carbon cycles (soil water content and atmospheric CO2) and two more rapidly fluctuating fluxes from both cycles (evaporation and net photosynthesis). We consider how the modelling structure and its response to both canopy-level and soil environmental controls may make it suitable for inclusion in GCMs, and what this entails in terms of parameterisation. (C) 2015 The Authors. Published by Elsevier B.V.

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