Thermal acclimation of leaf photosynthetic traits in an evergreen woodland, consistent with the coordination hypothesis

Togashi, Henrique Fürstenau; Prentice, Iain Colin; Atkin, Owen K.; Macfarlane, Craig; Prober, Suzanne M.; Bloomfield, Keith J.; Evans, Bradley J.

doi:10.5194/bg-15-3461-2018

Cited by 31 publications

(16 citation statements)

References 55 publications

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“…There are possibly two reasons, first severe water stress is reflected in LAI and albedo data, which in turn propagate to V cmax,25C because plants reallocate nitrogen resource to match reduced APAR (Xu & Baldocchi, 2003). Second, severe drought is usually associated with a heat wave, which has a substantial negative impact on V cmax,25C estimations via the temperature correction (Fürstenau Togashi et al., 2018). However, it is also observed that our model yields less decline in V cmax,25C during the dry‐down period at these two sites.…”

Section: Discussionmentioning

confidence: 99%

“…In recent years, plant acclimation has been characterized by a legacy effect or ecological memory (i.e., the effect of the past on current and future plant and ecosystem functioning; Anderegg et al., 2015; Hughes et al., 2019; Ogle & Barber, 2016; Ogle et al., 2015). Ecological memory theory implies that antecedent environmental conditions have the potential to affect plant physiology, potentially including V cmax,25C (Fürstenau Togashi et al., 2018). Meanwhile, plants tend to co‐vary canopy structure (particularly leaf area index, LAI, which determines the light absorption by plants) and functioning to acclimate to varying environmental conditions (i.e., canopy structure and functioning converge; Field, 1991).…”

Section: Introductionmentioning

confidence: 99%

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An optimality‐based model explains seasonal variation in C3 plant photosynthetic capacity

Jiang

Ryu

Wang

et al. 2020

Global Change Biology

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The maximum rate of carboxylation (V cmax) is an essential leaf trait determining the photosynthetic capacity of plants. Existing approaches for estimating V cmax at large scale mainly rely on empirical relationships with proxies such as leaf nitrogen/ chlorophyll content or hyperspectral reflectance, or on complicated inverse models from gross primary production or solar-induced fluorescence. A novel mechanistic approach based on the assumption that plants optimize resource investment coordinating with environment and growth has been shown to accurately predict C3 plant V cmax based on mean growing season environmental conditions. However, the ability of optimality theory to explain seasonal variation in V cmax has not been fully investigated. Here, we adapt an optimality-based model to simulate daily V cmax,25C (V cmax at a standardized temperature of 25°C) by incorporating the effects of antecedent environment, which affects current plant functioning, and dynamic light absorption, which coordinates with plant functioning. We then use seasonal V cmax,25C field measurements from 10 sites across diverse ecosystems to evaluate model performance. Overall, the model explains about 83% of the seasonal variation in C3 plant V cmax,25C across the 10 sites, with a medium root mean square error of 12.3 μmol m −2 s −1 , which suggests that seasonal changes in V cmax,25C are consistent with optimal plant function. We show that failing to account for acclimation to antecedent environment or coordination with dynamic light absorption dramatically decreases estimation accuracy. Our results show that optimality-based approach can accurately reproduce seasonal variation in canopy photosynthetic potential, and suggest that incorporating such theory into next-generation trait-based terrestrial biosphere models would improve predictions of global photosynthesis.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An optimality‐based model explains seasonal variation in C3 plant photosynthetic capacity

Jiang

Ryu

Wang

et al. 2020

Global Change Biology

View full text Add to dashboard Cite

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“…We test this hypothesis later, alongside the alternative hypothesis that R d depends on N area . To simplify the theoretical framework and mathematical derivations, we (a) disregard any possible differences in the instantaneous thermal responses of R d and V cmax among species and across sites (Steps 2 and 4 in Figure 1), and (b) assume infinite mesophyll conductance and nonlimiting electron-transport capacity (Keenan et al, 2016;Togashi et al, 2018;Wang, Prentice, & Davis, 2014). Although uncertainties are thereby inevitably introduced, these simplifications allow us to test first-order effects at a global scale, appropriately for the potential improvement of LSMs.…”

Section: Introductionmentioning

confidence: 99%

Acclimation of leaf respiration consistent with optimal photosynthetic capacity

Wang

Atkin

Keenan

et al. 2020

Global Change Biology

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132

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Plant respiration is an important contributor to the proposed positive global carbon‐cycle feedback to climate change. However, as a major component, leaf mitochondrial (‘dark’) respiration (Rd) differs among species adapted to contrasting environments and is known to acclimate to sustained changes in temperature. No accepted theory explains these phenomena or predicts its magnitude. Here we propose that the acclimation of Rd follows an optimal behaviour related to the need to maintain long‐term average photosynthetic capacity (Vcmax) so that available environmental resources can be most efficiently used for photosynthesis. To test this hypothesis, we extend photosynthetic co‐ordination theory to predict the acclimation of Rd to growth temperature via a link to Vcmax, and compare predictions to a global set of measurements from 112 sites spanning all terrestrial biomes. This extended co‐ordination theory predicts that field‐measured Rd and Vcmax accessed at growth temperature (Rd,tg and Vcmax,tg) should increase by 3.7% and 5.5% per degree increase in growth temperature. These acclimated responses to growth temperature are less steep than the corresponding instantaneous responses, which increase 8.1% and 9.9% per degree of measurement temperature for Rd and Vcmax respectively. Data‐fitted responses proof indistinguishable from the values predicted by our theory, and smaller than the instantaneous responses. Theory and data are also shown to agree that the basal rates of both Rd and Vcmax assessed at 25°C (Rd,25 and Vcmax,25) decline by ~4.4% per degree increase in growth temperature. These results provide a parsimonious general theory for Rd acclimation to temperature that is simpler—and potentially more reliable—than the plant functional type‐based leaf respiration schemes currently employed in most ecosystem and land‐surface models.

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“… 23 ). The ‘strong form’ 24 of this hypothesis states that carboxylation and electron transport are co-limiting under typical daytime growth conditions, so that neither is in excess. V cmax25 is observed to increase with PPFD, D and z (refs.…”

Section: Introductionmentioning

confidence: 99%

“… 10 , 11 , 21 ), and to decline with T g (refs. 24 , 25 ). The coordination hypothesis predicts all these observations.…”

Section: Introductionmentioning

confidence: 99%

Global climate and nutrient controls of photosynthetic capacity

et al. 2021

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There is huge uncertainty about how global exchanges of carbon between the atmosphere and land will respond to continuing environmental change. A better representation of photosynthetic capacity is required for Earth System models to simulate carbon assimilation reliably. Here we use a global leaf-trait dataset to test whether photosynthetic capacity is quantitatively predictable from climate, based on optimality principles; and to explore how this prediction is modified by soil properties, including indices of nitrogen and phosphorus availability, measured in situ. The maximum rate of carboxylation standardized to 25 °C (Vcmax25) was found to be proportional to growing-season irradiance, and to increase—as predicted—towards both colder and drier climates. Individual species’ departures from predicted Vcmax25 covaried with area-based leaf nitrogen (Narea) but community-mean Vcmax25 was unrelated to Narea, which in turn was unrelated to the soil C:N ratio. In contrast, leaves with low area-based phosphorus (Parea) had low Vcmax25 (both between and within communities), and Parea increased with total soil P. These findings do not support the assumption, adopted in some ecosystem and Earth System models, that leaf-level photosynthetic capacity depends on soil N supply. They do, however, support a previously-noted relationship between photosynthesis and soil P supply.

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Thermal acclimation of leaf photosynthetic traits in an evergreen woodland, consistent with the coordination hypothesis

Cited by 31 publications

References 55 publications

An optimality‐based model explains seasonal variation in C3 plant photosynthetic capacity

An optimality‐based model explains seasonal variation in C3 plant photosynthetic capacity

Acclimation of leaf respiration consistent with optimal photosynthetic capacity

Global climate and nutrient controls of photosynthetic capacity

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