U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights


Homeostasis of Tropical Forest Carbohydrates
Published: December 18, 2018
Posted: April 23, 2019

The Science
Through the most exhaustive tropical forest carbohydrate sampling and analysis done to date, researchers found that canopy tree carbohydrate concentrations are insensitive to both seasonal drought and long-term climate. They also identified easily measured traits that may be predictive of carbohydrate concentrations.

The Impact
These findings help to unify our understanding of forest carbohydrate dynamics across the few existing tropical datasets. Since carbohydrates play an important role in forest survival, this may improve our ability to simulate vegetation dynamics in Earth System Models, and trait relationships should simplify model benchmarking.

Summary
Non-structural carbohydrates (NSCs), the organic compounds that drive plant metabolism, have rarely been studied in moist tropical forests, so their regulation in these systems is poorly understood. These compounds may modulate tree drought response and can become depleted if demand (i.e., growth, defense, respiration) exceeds supply (i.e., photosynthesis). As a result, Earth System Models (ESMs) rely on carbohydrates as a metric for vegetation survival. Researchers from the NGEE-Tropics project measured foliar and branch NSCs of 23 canopy tree species across a large precipitation gradient in Panama during the 2015-2016 El Nino drought to examine how short- and long-term climatic variation impacts carbohydrate dynamics. There was large variation in NSCs across species, however there was no change in total NSCs as the drought progressed nor across the rainfall gradient. Some NSC variation could be explained by easily and ubiquitously measured traits, providing potential for improved model benchmarking. These findings suggest that NSCs are an allocation priority in moist tropical forests and should improve our ability to capture vegetation dynamics in ESMs. 

Contacts (BER PM)
Daniel Stover
Terrestrial Ecosystem Science
SC-23.1
Daniel.Stover@science.doe.gov

Dorothy Koch
SC-23.1
Dorothy.Koch@science.doe.gov

(PI Contact)
Chonggang Xu, LANL, cxu@lanl.gov and Nate McDowell, PNNL, nate.mcdowell@pnnl.gov

Funding
This work was supported by the Next-Generation Ecosystem Experiments (NGEE) Tropics project, funded by the US Department of Energy, Office of Biological and Environmental Research.

Publications
Dickman, L.T., N.G. McDowell, C. Grossiord, A.D. Collins, B.T. Wolfe, M. Detto, S.J. Wright, J.A. Medina-Vega, D. Goodsman, A. Rogers, S.P. Serbin, J. Wu, K.S. Ely, S.T. Michaletz, C. Xu, L. Kueppers, and  J.Q. Chambers. “Homeostatic maintenance of non-structural carbohydrates during the 2015-2016 El Nino drought across a tropical forest precipitation gradient.” Plant, Cell & Environment 42(5),1705-1714 (2018). [DOI: 10.1111/pce.13501]

Related Links
https://ngt-data.lbl.gov/dois/

Topic Areas:

  • Research Area: Earth and Environmental Systems Modeling
  • Research Area: Terrestrial Ecosystem Science
  • Research Area: Next-Generation Ecosystem Experiments (NGEE)

Division: SC-23.1 Climate and Environmental Sciences Division, BER

 

BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]

May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]

May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]

May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]

Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]

List all highlights (possible long download time)