2018
DOI: 10.1007/978-3-319-93594-2_7
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CO2 Diffusion Inside Photosynthetic Organs

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Cited by 27 publications
(23 citation statements)
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“…The complex relationship of leaf anatomy and g m is likely, in part, to be driven by the theoretical trade‐off between the leaf's photosynthetic capacity, stress tolerance, and longevity as defined by the leaf economic spectrum (Gago et al , ). A leaf with a high LMA due to strengthening and thickening of mesophyll cell walls could lead to a decrease in g m (Flexas et al , ; Nadal et al , ). For example, an increase in T CW correlates negatively with g m (Onoda et al , ; Veromann‐Jürgenson et al , ; Ellsworth et al , ).…”
Section: Gm In C3 Plantsmentioning
confidence: 99%
See 1 more Smart Citation
“…The complex relationship of leaf anatomy and g m is likely, in part, to be driven by the theoretical trade‐off between the leaf's photosynthetic capacity, stress tolerance, and longevity as defined by the leaf economic spectrum (Gago et al , ). A leaf with a high LMA due to strengthening and thickening of mesophyll cell walls could lead to a decrease in g m (Flexas et al , ; Nadal et al , ). For example, an increase in T CW correlates negatively with g m (Onoda et al , ; Veromann‐Jürgenson et al , ; Ellsworth et al , ).…”
Section: Gm In C3 Plantsmentioning
confidence: 99%
“…The importance of g m for accurately modelling net rates of CO 2 assimilation and understanding how photosynthesis responds to changing environmental factors has been summarized in several recent reviews (Parkhurst, 1994;Flexas et al, 2008Flexas et al, , 2016Flexas et al, , 2018Pons et al, 2009). Additionally, there have been several recent reviews on: (i) how leaf biochemical and anatomical factors influence g m , (ii) the limitation for estimating g m , which cannot be directly measured, and (iii) how factors impact our understanding and interpretation of how g m responds to changing environmental conditions Flexas et al, 2009;Tholen et al, 2012).…”
Section: General Introductionmentioning
confidence: 99%
“…The functions in Equation (6) represent responses of g m to environmental factors on instantaneous (minutes) to intermediate (days to months) time scales that were often reported throughout the literature [Figure ; see Flexas et al () and Flexas et al () for a literature review and Sun et al () and Knauer et al () for a model‐oriented review on these responses]. f L reflects changes of leaf structure and associated decreases of maximum g m within the canopy.…”
Section: Implementation Of Mesophyll Conductance Into Lsmsmentioning
confidence: 99%
“…The inverse value of g m , the mesophyll resistance ( r m = 1/ g m ) can be expressed as the sum of several resistances in series in both the gaseous and liquid phase within the leaf: the intercellular airspaces, the cell wall, the plasma membrane, the cytosol, the chloroplast envelope, and the chloroplast stroma (Evans et al , ; Terashima et al , ). These individual resistances are, to different extents, controlled by both leaf anatomical and biochemical determinants (Flexas et al , ). The thickness of the cell wall and the chloroplast area attached to the intercellular airspaces ( S c ) have been identified as important anatomical predictors of g m (Evans et al , ; Tomás et al , ).…”
Section: Introductionmentioning
confidence: 99%
“…Stomata evolved to regulate gas exchange in and out of the leaf (Hetherington and Woodward, 2003;Berry et al, 2010;Chater et al, 2017), but many foliar pathogens take advantage of these chinks in the leaf cuticular armor to infect prospective hosts (Zeng et al, 2010;McLachlan et al, 2014;Melotto et al, 2017). The stomatal and mesophyll conductance to CO 2 are two major limits to photosynthesis (Flexas et al, 2018;Lawson et al, 2018) that are partially determined by stomatal anatomy. Since CO 2 conductance limits photosynthesis (Farquhar and Sharkey, 1982;Jones, 1985) and pathogen infection can reduce fitness (Gilbert, 2002), this sets up a potential tradeoff between increased photosynthesis and defense against pathogens mediated by stomatal anatomy (McKown et al, 2014;Dutton et al, 2019;Fetter et al, 2019;Tateda et al, 2019).…”
Section: Introductionmentioning
confidence: 99%