Acclimation of photosynthetic capacity in Scots pine to the annual cycle of temperature

Mäkelä, Annikki; Hari, Pertti; Berninger, Frank; Hänninen, Heikki; Nikinmaa, Eero

doi:10.1093/treephys/24.4.369

Cited by 164 publications

(76 citation statements)

References 18 publications

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“…Some studies focused on the drivers of photosynthetic capacity. For example, Mäkelä et al (2004) proposed a model to study the influence of temperature on the seasonal variation in photosynthetic production of Scots pine through a delayed dynamic response. Other studies focused on the drivers of carbon allocation.…”

Section: F Gennaretti Et Al: Ecophysiological Modeling Of Photosyntmentioning

confidence: 99%

“…However, despite recent progress, few models have been able to simultaneously simulate the meteorological control on daily photosynthetic production and the meteorological and phenological controls on daily carbon allocation for temperature-limited boreal forest ecosystems. Such models should be able to simulate the following observed phenomena: (i) the delayed response of photosynthesis to temperature (Gea-Izquierdo et al, 2010;Mäkelä et al, 2004), (ii) the influence of preceding season conditions on current-year canopy development (Salminen and Jalkanen, 2005) and (iii) a strong positive relationship between wood biomass production and temperature (Cuny et al, 2015).…”

Section: F Gennaretti Et Al: Ecophysiological Modeling Of Photosyntmentioning

confidence: 99%

“…The partition of leaf area index (LAI) in its shaded and sunlit fractions and the transmission and absorption of photosynthetically active radiation (PAR) are computed as explained by Misson (2004), following De Pury andFarquhar (1997). After a sensitivity analysis, and as stated in the literature for boreal forests (Gea-Izquierdo et al, 2010;Mäkelä et al, 2004Mäkelä et al, , 1996, we found that the modeling of assimilation/photosynthesis for black spruce is very sensitive to the parameters controlling the temperature dependence of the maximum carboxylation rate (Vcmax; µmol C m −2 of leaves s −1 ), the water stress level (θg) influencing the stomatal conductance and consequently the intercellular CO 2 concentration. The computations of Vcmax and θg used here are identical to those of the prior formulation of MAIDEN (Gea-Izquierdo et al, 2015).…”

Section: Modeling the Gpp Of Boreal Forestsmentioning

confidence: 99%

“…This overestimation is due to the fact that the model has been developed for temperate and Mediterranean trees where no time delay between the recovery of photosynthesis and temperature increase in spring (i.e., no temperature acclimation) can be assumed. However, such a delay is common in boreal trees (Gea-Izquierdo et al, 2010;Mäkelä et al, 2004). For this reason, we modified MAIDEN by including an extra function and an extra parameter (τ ) to take into account the acclimation of photosynthesis to temperature.…”

Section: Modeling the Gpp Of Boreal Forestsmentioning

confidence: 99%

“…(1) by a temperature transformation (S), which responds smoothly with a determined time lag to temperature variations. S of day i was computed from the following differential equation (Mäkelä et al, 2004), which was solved with Euler's method:…”

Section: Modeling the Gpp Of Boreal Forestsmentioning

confidence: 99%

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Ecophysiological modeling of photosynthesis and carbon allocation to the tree stem in the boreal forest

Gennaretti

Gea‐Izquierdo²,

Boucher³

et al. 2017

Biogeosciences

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Abstract. A better understanding of the coupling between photosynthesis and carbon allocation in the boreal forest, together with its associated environmental factors and mechanistic rules, is crucial to accurately predict boreal forest carbon stocks and fluxes, which are significant components of the global carbon budget. Here, we adapted the MAIDEN ecophysiological forest model to consider important processes for boreal tree species, such as nonlinear acclimation of photosynthesis to temperature changes, canopy development as a function of previous-year climate variables influencing bud formation and the temperature dependence of carbon partition in summer. We tested these modifications in the eastern Canadian taiga using black spruce (Picea mariana (Mill.) B.S.P.) gross primary production and ring width data. MAIDEN explains 90 % of the observed daily gross primary production variability, 73 % of the annual ring width variability and 20-30 % of its high-frequency component (i.e., when decadal trends are removed). The positive effect on stem growth due to climate warming over the last several decades is well captured by the model. In addition, we illustrate how we improve the model with each introduced model adaptation and compare the model results with those of linear response functions. Our results demonstrate that MAIDEN simulates robust relationships with the most important climate variables (those detected by classical response-function analysis) and is a powerful tool for understanding how environmental factors interact with black spruce ecophysiology to influence present-day and future boreal forest carbon fluxes.

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Section: F Gennaretti Et Al: Ecophysiological Modeling Of Photosyntmentioning

confidence: 99%

Section: F Gennaretti Et Al: Ecophysiological Modeling Of Photosyntmentioning

confidence: 99%

Section: Modeling the Gpp Of Boreal Forestsmentioning

confidence: 99%

Section: Modeling the Gpp Of Boreal Forestsmentioning

confidence: 99%

Section: Modeling the Gpp Of Boreal Forestsmentioning

confidence: 99%

See 3 more Smart Citations

Ecophysiological modeling of photosynthesis and carbon allocation to the tree stem in the boreal forest

Gennaretti

Gea‐Izquierdo²,

Boucher³

et al. 2017

Biogeosciences

View full text Add to dashboard Cite

show abstract

Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive

Schmidt

Kelley

Nazarenko

et al. 2014

J Adv Model Earth Syst

624

469

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We present a description of the ModelE2 version of the Goddard Institute for Space Studies (GISS) General Circulation Model (GCM) and the configurations used in the simulations performed for the Coupled Model Intercomparison Project Phase 5 (CMIP5). We use six variations related to the treatment of the atmospheric composition, the calculation of aerosol indirect effects, and ocean model component. Specifically, we test the difference between atmospheric models that have noninteractive composition, where radiatively important aerosols and ozone are prescribed from precomputed decadal averages, and interactive versions where atmospheric chemistry and aerosols are calculated given decadally varying emissions. The impact of the first aerosol indirect effect on clouds is either specified using a simple tuning, or parameterized using a cloud microphysics scheme. We also use two dynamic ocean components: the Russell and HYbrid Coordinate Ocean Model (HYCOM) which differ significantly in their basic formulations and grid. Results are presented for the climatological means over the satellite era taken from transient simulations starting from the preindustrial (1850) driven by estimates of appropriate forcings over the 20th Century. Differences in base climate and variability related to the choice of ocean model are large, indicating an important structural uncertainty. The impact of interactive atmospheric composition on the climatology is relatively small except in regions such as the lower stratosphere, where ozone plays an important role, and the tropics, where aerosol changes affect the hydrological cycle and cloud cover. While key improvements over previous versions of the model are evident, these are not uniform across all metrics.

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Assessing model performance via the most limiting environmental driver in two differently stressed pine stands

Nadal‐Sala

Grote

Birami

et al. 2021

Ecological Applications

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Climate change will impact forest productivity worldwide. Forecasting the magnitude of such impact, with multiple environmental stressors changing simultaneously, is only possible with the help of process-based models. In order to assess their performance, such models require careful evaluation against measurements. However, direct comparison of model outputs against observational data is often not reliable, as models may provide the right answers due to the wrong reasons. This would severely hinder forecasting abilities under unprecedented climate conditions. Here, we present a methodology for model assessment, which supplements the traditional output-to-observation model validation. It evaluates model performance through its ability to reproduce observed seasonal changes of the most limiting environmental driver (MLED) for a given process, here daily gross primary productivity (GPP). We analyzed seasonal changes of the MLED for GPP in two contrasting pine forests, the Mediterranean Pinus halepensis Mill. Yatir (Israel) and the boreal Pinus sylvestris L. Hyytiälä (Finland) from three years of eddy-covariance flux data. Then, we simulated the same period with a state-of-the-art process-based simulation model (LandscapeDNDC). Finally, we assessed if the model was able to reproduce both GPP observations and MLED seasonality. We found that the model reproduced the seasonality of GPP in both stands, but it was slightly overestimated without sitespecific fine-tuning. Interestingly, although LandscapeDNDC properly captured the main MLED in Hyytiälä (temperature) and in Yatir (soil water availability), it failed to reproduce high-temperature and high-vapor pressure limitations of GPP in Yatir during spring and summer. We deduced that the most likely reason for this divergence is an incomplete description of stomatal behavior. In summary, this study validates the MLED approach as a model evaluation tool, and opens up new possibilities for model improvement.

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Acclimation of photosynthetic capacity in Scots pine to the annual cycle of temperature

Cited by 164 publications

References 18 publications

Ecophysiological modeling of photosynthesis and carbon allocation to the tree stem in the boreal forest

Ecophysiological modeling of photosynthesis and carbon allocation to the tree stem in the boreal forest

Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive

Assessing model performance via the most limiting environmental driver in two differently stressed pine stands

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