A nonparametric method for separating photosynthesis and respiration components in CO2 flux measurements

Chuixiang Yi, Runze Li, Peter S. Bakwin, Ankur Desai, Daniel M. Ricciuto, Sean P. Burns, Andrew A. Turnipseed, Steven C. Wofsy, J. William Munger, Kell Wilson, Russell K. Monson

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Future climate change is expected to affect ecosystem-atmosphere CO 2 exchange, particularly through the influence of temperature. To date, however, few studies have shown that differences in the response of net ecosystem CO2 exchange (NEE) to temperature among ecosystems can be explained by differences in the photosynthetic and respiratory processes that compose NEE. Using a new nonparametric statistical model, we analyzed data from four forest ecosystems. We observed that differences among forests in their ability to assimilate CO2 as a fianction of temperature were attributable to consistent differences in the temperature dependence of photosynthesis and respiration. This observation provides empirical validation of efforts to develop models of NEE from the first-principle relationships between photosynthetic and respiratory processes and climate. Our results also showed that models of seasonal dynamics in NEE that lack specific consideration of the temperature dependence of respiration and photosynthesis are likely to carry significant uncertainties.

Original languageEnglish (US)
Pages (from-to)L17107 1-5
JournalGeophysical Research Letters
Volume31
Issue number17
DOIs
StatePublished - Sep 16 2004
Externally publishedYes

Keywords

  • 0315 Atmospheric composition and structure: Biosphere/atmosphere interactions
  • 1615 Global change: Biogeochemical processes (4805)
  • 3307 Meteorology and atmospheric dynamics: Boundary layer processes
  • 3322 Meteorology and atmospheric dynamics: Land/atmosphere interactions
  • 4806 Oceanography: Biological and chemical: Carbon cycling

ASJC Scopus subject areas

  • Geophysics
  • General Earth and Planetary Sciences

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