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The Phenology of Leaf Quality and Its Variation Are Essential for Accurate Modeling of Photosynthesis in Tropical Evergreen Forests
Published: April 18, 2017
Posted: May 10, 2017

Developing a path for the representation of tropical photosynthetic seasonality in terrestrial biosphere models.

The Science
The annual variation in tropical photosynthetic carbon dioxide (CO2) assimilation is about half the size of the terrestrial carbon sink and is therefore an important phenomenon to represent in terrestrial biosphere models (TBMs). Three components of leaf phenology (i.e., quantity, quality, and within-canopy variation) all regulate tropical forest photosynthesis but are absent or poorly represented in most TBMs. This project demonstrates how these three biological components can be integrated in a mechanistic representation of tropical evergreen forest photosynthetic seasonality. Team scientists show that the photosynthetic seasonality was not sensitive to leaf quantity but was highly sensitive to leaf quality and its within-canopy variation, with markedly more sensitivity to upper canopy leaf quality. This work thus highlights the importance of incorporating more realistic phenological mechanisms in TBMs that seek to improve the projection of future carbon dynamics in tropical evergreen forests.

The Impact
This study has three important implications for the broader ecology, plant physiology, and modeling communities. (1) This work demonstrates that an improved and prognostic understanding and model representation of tropical leaf phenology will be a key component in new models that seek to improve projections of carbon dynamics and potential climate feedbacks in the tropics. (2) By isolating biological drivers of photosynthesis from weather, this work highlights the need to improve understanding and model representation of the fundamental physiological response to environmental variability in the tropics. (3) This work also highlights the data paucity in the tropics that currently limits the ability to test and evaluate the proposed model framework at broader scales.

The average annual cycle of canopy photosynthesis (i.e., gross primary productivity, GPP) under a reference environment, GPPref (i.e., an indicator of canopy integrated photosynthetic capacity), of a central Amazonian evergreen forest in Brazil was derived from eddy covariance (EC) measurements (years 2002–2005 and 2009–2011). Here the scientists used a two-fraction leaf (sun versus shade), two-layer (upper versus lower) canopy model to examine the effects of three phenological components (i.e., quantity, quality, and within-canopy variation) on modeled GPPref. The model incorporating only the effect of “leaf quantity” does not follow EC-derived GPPref seasonality. The model incorporating the joint effects of “leaf quantity and leaf quality” tracks the pattern of EC-derived GPPref seasonality, but it only captures about half the relative annual change. The model incorporating the effects from all three phenological components (i.e., quantity, quality, and within-canopy variation, approximated by ftop) tracks EC-derived GPPref seasonality in both phase and the relative annual change. Project results thus suggest that the phenology of leaf quality and its within-canopy variation are essential for accurate photosynthetic modeling in tropical evergreen forests.

BER Program Manager
Daniel Stover
Terrestrial Ecosystem Science, SC-23.1 (301-903-0289)

Principal Investigator
Lead author contact
Jin Wu 
Brookhaven National Laboratory
Berkeley, CA 94720

Institutional contact
Alistair Rogers
Brookhaven National Laboratory
Berkeley, CA 94720

J. Wu, S.P. Serbin, and A. Rogers were supported by the Next-Generation Ecosystem Experiments (NGEE)–Tropics project. The NGEE-Tropics project is supported by the Office of Biological and Environmental Research within the U.S. Department of Energy Office of Science.

Wu J., Serbin S.P., Xu X., Albert L.P., Chen M., Meng R., Saleska S.R., Rogers A.. "The phenology of leaf quality and its within-canopy variation are essential for accurate modeling of photosynthesis in tropical evergreen forests." Global Change Biology 23(11), 4814–4827 (2017). [DOI:10.1111/gcb.13725]

Related Links

Topic Areas:

  • Research Area: Terrestrial Ecosystem Science

Division: SC-33.1 Earth and Environmental Sciences Division, BER


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