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        <dc:title>Consistent responses of vegetation gas exchange to elevated atmospheric CO2 emerge from heuristic and optimization models</dc:title>
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                <foaf:givenname></foaf:givenname>
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        <bibo:abstract>Elevated atmospheric CO2 concentration is expected
to increase leaf CO2 assimilation rates, thus promoting plant growth
and increasing leaf area. It also decreases stomatal conductance, allowing
water savings, which have been hypothesized to drive large-scale greening,
in particular in arid and semiarid climates. However, the increase in leaf
area could reduce the benefits of elevated CO2 concentration through soil
water depletion. The net effect of elevated CO2 on leaf- and
canopy-level gas exchange remains uncertain. To address this question, we
compare the outcomes of a heuristic model based on the Partitioning of
Equilibrium Transpiration and Assimilation (PETA) hypothesis and three model
variants based on stomatal optimization theory. Predicted relative changes in leaf-
and canopy-level gas exchange rates are used as a metric of plant responses
to changes in atmospheric CO2 concentration. Both model approaches predict
reductions in leaf-level transpiration rate due to decreased stomatal
conductance under elevated CO2, but negligible (PETA) or no
(optimization) changes in canopy-level transpiration due to the compensatory
effect of increased leaf area. Leaf- and canopy-level CO2 assimilation
is predicted to increase, with an amplification of the CO2
fertilization effect at the canopy level due to the enhanced leaf area. The
expected increase in vapour pressure deficit (VPD) under warmer conditions is
generally predicted to decrease the sensitivity of gas exchange to
atmospheric CO2 concentration in both models. The consistent
predictions by different models that canopy-level transpiration varies
little under elevated CO2 due to combined stomatal conductance
reduction and leaf area increase highlight the coordination of
physiological and morphological characteristics in vegetation to maximize
resource use (here water) under altered climatic conditions.</bibo:abstract>
        <bibo:volume>19</bibo:volume>
        <bibo:issue>17</bibo:issue>
        <bibo:startPage>4387-4414</bibo:startPage>
        <bibo:endPage>4387-4414</bibo:endPage>
        <dc:publisher>Copernicus Publications</dc:publisher>
        <bibo:doi rdf:resource="10.5194/bg-19-4387-2022" />
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