4.7 Article

Estimation of canopy average mesophyll conductance using δ13C of phloem contents

期刊

PLANT CELL AND ENVIRONMENT
卷 34, 期 9, 页码 1521-1535

出版社

WILEY
DOI: 10.1111/j.1365-3040.2011.02350.x

关键词

carbon dioxide; carbon isotopes; conifers; discrimination; internal conductance; photosynthesis; soluble sugars; transfer conductance

资金

  1. National Science Foundation EPSCoR [EPS - 0447689]
  2. University of Idaho

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Conductance to CO2 inside leaves, known as mesophyll conductance (g(m)), imposes large limitations on photosynthesis. Because g(m) is difficult to quantify, it is often neglected in calculations of C-13 photosynthetic discrimination. The 'soluble sugar method' estimates g(m) via differences between observed photosynthetic discrimination, calculated from the delta C-13 of soluble sugars, and discrimination when g(m) is infinite. We expand upon this approach and calculate a photosynthesis-weighted average for canopy mesophyll conductance ((c)g(m)) using delta C-13 of stem phloem contents. We measured gas exchange at three canopy positions and collected stem phloem contents in mature trees of three conifer species (Pseudotsuga menziesii, Thuja plicata and Larix occidentalis). We generated species-specific and seasonally variable estimates of (c)g(m). We found that (c)g(m) was significantly different among species (0.41, 0.22 and 0.09 mol m(-2) s(-1) for Larix, Pseudotsuga and Thuja, respectively), but was similar throughout the season. Ignoring respiratory and photorespiratory fractionations ((c)Delta(ef)) resulted in approximate to 30% underestimation of (c)g(m) in Larix and Pseudotsuga, but was innocuous in Thuja. Substantial errors (similar to 1-4 parts per thousand) in photosynthetic discrimination calculations were introduced by neglecting (c)g(m) and (c)Delta(ef). Our method is easy to apply and cost-effective, captures species variation and would have captured seasonal variation had it existed. The method provides an average canopy value, which makes it suitable for parameterization of canopy-scale models of photosynthesis, even in tall trees.

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