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A Global Trait-Based Approach to Estimate Leaf Nitrogen Functional Allocations from Observations
Published: April 03, 2017
Posted: May 30, 2017

Observationally constrained photosynthetic traits for land models.

The Science
Nitrogen is one of the most important nutrients for plant growth and a major constituent of proteins that regulate photosynthetic and respiratory processes. This study integrated observations from global databases with photosynthesis and respiration models to determine plant-functional-type-specific allocation patterns of leaf nitrogen for photosynthesis and respiration.

The Impact
The study's observationally constrained nitrogen allocation estimates provide insights on mechanisms that operate at a cellular scale within leaves, and can be integrated with ecosystem models to derive emergent properties of ecosystem productivity at local, regional, and global scales.

Summary
The scientists developed here a comprehensive global analysis of nitrogen allocation in leaves for major processes with respect to different plant functional types. Based on analysis, crops partition the largest fraction of nitrogen to photosynthesis and respiration. Tropical broadleaf evergreen trees partition the least to photosynthesis and respiration. In trees (especially needle-leaved evergreen and tropical broadleaf evergreen trees) a large fraction of nitrogen was not explained by photosynthetic or respiratory functions. Compared to crops and herbaceous plants, this large residual pool is hypothesized to emerge from larger investments in cell wall proteins, lipids, amino acids, nucleic acid, carbon dioxide (CO2) fixation proteins (other than Rubisco), secondary compounds, and other proteins. The resulting pattern of nitrogen allocation provides insights on mechanisms that operate at a cellular scale within leaves and that can be integrated with ecosystem models to derive emergent properties of ecosystem productivity at local, regional, and global scales.

Contacts
BER Program Manager
Daniel Stover
Terrestrial Ecosystem Science, SC-23.1
Daniel.Stover@science.doe.gov (301-903-0289)

PI Contact
William J. Riley
Lawrence Berkeley National Laboratory
Berkeley, CA 94720
wjriley@lbl.gov

Funding
This research was supported by the Office of Biological and Environmental Research, within the U.S. Department of Energy Office of Science under Contract No. DE-AC02-05CH11231, as part of the Next-Generation Ecosystem Experiments (NGEE)–Arctic project. The study has been supported by the TRY initiative on plant traits (http://www.try-db.org), which is/has been supported by DIVERSITAS, IGBP, the Global Land Project, the U.K. Natural Environment Research Council (NERC) through its program QUEST (Quantifying and Understanding the Earth System), the French Foundation for Biodiversity Research (FRB), and GIS 'Climat, Environnement et Société,' France.

Publications
Ghimire, B., Riley, W.J., Koven, C.D., Kattge, J., Rogers, A., Reich, P.B., and Wright, I. "A global trait-based approach to estimate leaf nitrogen functional allocation from observations." Ecological Applications 27(5), 1421–1434 (2017). [DOI:10.1002/eap.1542]

Topic Areas:

  • Research Area: Terrestrial Ecosystem Science

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

 

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