Scaling BVOC Emissions from Leaf to Canopy and Landscape: How Different Are Predictions Based on Contrasting Emission Algorithms?

Niinemets, Ülo; Ciccioli, P.; Noe, Steffen M.; Reichstein, Markus

doi:10.1007/978-94-007-6606-8_13

Cited by 5 publications

(6 citation statements)

References 110 publications

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“…To quantitatively compare different simulated temperature response curves, warm vs . cool C 3 plants and temperature response curves currently in use in the modeling community, mean absolute (σ A ) and root mean squared (σ S ) differences between different model estimates ( Willmott and Matsuura, 2005 ; Niinemets et al , 2013 ) were calculated through the modeled temperature range of 5–50 ºC. The mean absolute difference was calculated as:…”

Section: Methodsmentioning

confidence: 99%

A compendium of temperature responses of Rubisco kinetic traits: variability among and within photosynthetic groups and impacts on photosynthesis modeling

Galmés

Hermida-Carrera

Laanisto

et al. 2016

EXBOTJ

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Section: Methodsmentioning

confidence: 99%

A compendium of temperature responses of Rubisco kinetic traits: variability among and within photosynthetic groups and impacts on photosynthesis modeling

Galmés

Hermida-Carrera

Laanisto

et al. 2016

EXBOTJ

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“…Different pathways with contrasting regulatory mechanisms are responsible for the production of different classes of volatiles (for recent reviews on volatile production see Li & Sharkey 2013; Monson 2013; Rajabi Memari, Pazouki & Niinemets 2013). The rate of volatile isoprenoid synthesis in constitutively emitting species is often tightly linked to photosynthetic metabolism, and therefore the emissions primarily respond to light and temperature, similarly to photosynthesis (for reviews see Niinemets et al 2010c; Grote et al 2013; Li & Sharkey 2013; Niinemets et al 2013a). The emissions also respond to CO 2 concentration, although often differently from photosynthesis (Niinemets et al 2010c; Sun et al 2012b; Grote et al 2013; Li & Sharkey 2013).…”

Section: Heterogeneity Of Biochemical Sources and Sinks And Implicatimentioning

confidence: 99%

Bidirectional exchange of biogenic volatiles with vegetation: emission sources, reactions, breakdown and deposition

Niinemets

Fares²,

Harley

et al. 2014

Plant Cell & Environment

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122

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Biogenic volatile organic compound (BVOC) emissions are widely modelled as inputs to atmospheric chemistry simulations. However, BVOC may interact with cellular structures and neighbouring leaves in a complex manner during volatile diffusion from the sites of release to leaf boundary layer and during turbulent transport to the atmospheric boundary layer. Furthermore, recent observations demonstrate that the BVOC emissions are bidirectional, and uptake and deposition of BVOC and their oxidation products are the rule rather than the exception. This review summarizes current knowledge of within-leaf reactions of synthesized volatiles with reactive oxygen species (ROS), uptake, deposition and storage of volatiles, and their oxidation products as driven by adsorption on leaf surface and solubilization and enzymatic detoxification inside leaves. The available evidence indicates that because of the reactions with ROS and enzymatic metabolism, the BVOC gross production rates are much larger than previously thought. The degree to which volatiles react within leaves and can be potentially taken up by vegetation depends upon compound reactivity, physicochemical characteristics, as well as upon their participation in leaf metabolism. We argue that future models should be based upon the concept of bidirectional BVOC exchange and consider modification of BVOC sink/source strengths by withinleaf metabolism and storage.

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“…We further test our hypothesis by examining observed and modelled changes in the fraction of assimilated carbon allocated to isoprene production. The ratio of isoprene emission to gross carbon assimilation ( Iso/A gross ) is a sensitive indicator of the allocation of reducing power to the MEP pathway vs the Calvin–Benson cycle (Niinemets et al ., ). Under a constant leaf temperature and CO 2 concentration, we would expect the fraction of assimilated carbon re‐emitted as isoprene to be constant, if only enzymatic limitations are involved.…”

Section: Introductionmentioning

confidence: 97%

“…Under a constant leaf temperature and CO 2 concentration, we would expect the fraction of assimilated carbon re‐emitted as isoprene to be constant, if only enzymatic limitations are involved. However, if isoprene production depends on the energetic status of the leaves, Iso / A gross would be expected to increase with increasing PPFD (Niinemets et al ., ), as carboxylation becomes progressively Rubisco limited, whilst electron transport continues to increase.…”

Section: Introductionmentioning

confidence: 99%

A model of plant isoprene emission based on available reducing power captures responses to atmospheric CO₂

et al. 2014

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SummaryWe present a unifying model for isoprene emission by photosynthesizing leaves based on the hypothesis that isoprene biosynthesis depends on a balance between the supply of photosynthetic reducing power and the demands of carbon fixation.We compared the predictions from our model, as well as from two other widely used models, with measurements of isoprene emission from leaves of Populus nigra and hybrid aspen (Populus tremula 9 P. tremuloides) in response to changes in leaf internal CO 2 concentration (C i ) and photosynthetic photon flux density (PPFD) under diverse ambient CO 2 concentrations (C a ).Our model reproduces the observed changes in isoprene emissions with C i and PPFD, and also reproduces the tendency for the fraction of fixed carbon allocated to isoprene to increase with increasing PPFD. It also provides a simple mechanism for the previously unexplained decrease in the quantum efficiency of isoprene emission with increasing C a .Experimental and modelled results support our hypothesis. Our model can reproduce the key features of the observations and has the potential to improve process-based modelling of isoprene emissions by land vegetation at the ecosystem and global scales.

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Scaling BVOC Emissions from Leaf to Canopy and Landscape: How Different Are Predictions Based on Contrasting Emission Algorithms?

Cited by 5 publications

References 110 publications

A compendium of temperature responses of Rubisco kinetic traits: variability among and within photosynthetic groups and impacts on photosynthesis modeling

A compendium of temperature responses of Rubisco kinetic traits: variability among and within photosynthetic groups and impacts on photosynthesis modeling

Bidirectional exchange of biogenic volatiles with vegetation: emission sources, reactions, breakdown and deposition

A model of plant isoprene emission based on available reducing power captures responses to atmospheric CO₂

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Scaling BVOC Emissions from Leaf to Canopy and Landscape: How Different Are Predictions Based on Contrasting Emission Algorithms?

Cited by 5 publications

References 110 publications

A compendium of temperature responses of Rubisco kinetic traits: variability among and within photosynthetic groups and impacts on photosynthesis modeling

A compendium of temperature responses of Rubisco kinetic traits: variability among and within photosynthetic groups and impacts on photosynthesis modeling

Bidirectional exchange of biogenic volatiles with vegetation: emission sources, reactions, breakdown and deposition

A model of plant isoprene emission based on available reducing power captures responses to atmospheric CO2

Contact Info

Product

Resources

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A model of plant isoprene emission based on available reducing power captures responses to atmospheric CO₂