Global Change Biology · 2020 · 113 citations · 86 references
Life SciencesPlant BiologyPlant SciencesPhotosynthesisPhysiological EcologyPlant PhysiologyEnvironmental Responses Of PhotosynthesisPhotosynthesis ModelingPhotosynthetic AcclimationPhotosynthetic EfficiencyPhotosynthetic Energy ConversionPhotosynthetic MetabolismCarbon DioxideElectron Transport AcclimationLeaf Photosynthesis ModelingNull Model AnalysisPhotosynthetic Capacity AdjustmentPhotosynthetic TraitsRubisco AcclimationRubisco Carboxylation
Abstract The mechanisms responsible for photosynthetic acclimation are not well understood, effectively limiting predictability under future conditions. Least‐cost optimality theory can be used to predict the acclimation of photosynthetic capacity based on the assumption that plants maximize carbon uptake while minimizing the associated costs. Here, we use this theory as a null model in combination with multiple datasets of C 3 plant photosynthetic traits to elucidate the mechanisms underlying photosynthetic acclimation to elevated temperature and carbon dioxide (CO 2 ). The model‐data comparison showed that leaves decrease the ratio of the maximum rate of electron transport to the maximum rate of Rubisco carboxylation ( J max / V cmax ) under higher temperatures. The comparison also indicated that resources used for Rubisco and electron transport are reduced under both elevated temperature and CO 2 . Finally, our analysis suggested that plants underinvest in electron transport relative to carboxylation under elevated CO 2 , limiting potential leaf‐level photosynthesis under future CO 2 concentrations. Altogether, our results show that acclimation to temperature and CO 2 is primarily related to resource conservation at the leaf level. Under future, warmer, high CO 2 conditions, plants are therefore likely to use less nutrients for leaf‐level photosynthesis, which may impact whole‐plant to ecosystem functioning.
86
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
TRY – a global database of plant traits
Jens Kattge, Sandra Lavorel, I. Colin Prentice et al. · Global Change Biology · 2011 · 2.7K citations · Full text
TRY plant trait database – enhanced coverage and open access
Jens Kattge, Gerhard Bönisch, Sandra Lavorel et al. · Global Change Biology · 2019 · 2.1K citations · Full text