Productivity, absorbed photosynthetically active radiation, and light use efficiency in crops: Implications for remote sensing of crop primary production

Anatoly A. Gitelson, Yi Peng, Timothy J. Arkebauer, Andrew E. Suyker

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

Vegetation productivity metrics such as gross primary production (GPP) at the canopy scale are greatly affected by the efficiency of using absorbed radiation for photosynthesis, or light use efficiency (LUE). Thus, close investigation of the relationships between canopy GPP and photosynthetically active radiation absorbed by vegetation is the basis for quantification of LUE. We used multiyear observations over irrigated and rainfed contrasting C3 (soybean) and C4 (maize) crops having different physiology, leaf structure, and canopy architecture to establish the relationships between canopy GPP and radiation absorbed by vegetation and quantify LUE. Although multiple LUE definitions are reported in the literature, we used a definition of efficiency of light use by photosynthetically active "green" vegetation (LUEgreen) based on radiation absorbed by "green" photosynthetically active vegetation on a daily basis. We quantified, irreversible slowly changing seasonal (constitutive) and rapidly day-to-day changing (facultative) LUEgreen, as well as sensitivity of LUEgreen to the magnitude of incident radiation and drought events. Large (2-3-fold) variation of daily LUEgreen over the course of a growing season that is governed by crop physiological and phenological status was observed. The day-to-day variations of LUEgreen oscillated with magnitude 10-15% around the seasonal LUEgreen trend and appeared to be closely related to day-to-day variations of magnitude and composition of incident radiation. Our results show the high variability of LUEgreen between C3 and C4 crop species (1.43gC/MJ vs. 2.24gC/MJ, respectively), as well as within single crop species (i.e., maize or soybean). This implies that assuming LUEgreen as a constant value in GPP models is not warranted for the crops studied, and brings unpredictable uncertainties of remote GPP estimation, which should be accounted for in LUE models. The uncertainty of GPP estimation due to facultative and constitutive changes in LUEgreen can be considered as a critical component of the total error budget in the context of remotely sensed based estimations of GPP. The quantitative framework of LUEgreen estimation presented here offers a way of characterizing LUEgreen in plants that can be used to assess their phenological and physiological status and vulnerability to drought under current and future climatic conditions and is essential for calibration and validation of globally applied LUE algorithms.

Original languageEnglish (US)
Pages (from-to)100-109
Number of pages10
JournalJournal of Plant Physiology
Volume177
DOIs
StatePublished - Apr 1 2015

Fingerprint

photosynthetically active radiation
remote sensing
primary productivity
Radiation
Light
crops
vegetation
canopy
Droughts
Soybeans
Zea mays
Uncertainty
uncertainty
drought
soybeans
corn
Photosynthesis
Budgets
physiological state
Crop Production

Keywords

  • Absorbed radiation
  • Gross primary production
  • Light use efficiency
  • Photosynthesis
  • Remote sensing

ASJC Scopus subject areas

  • Physiology
  • Agronomy and Crop Science
  • Plant Science

Cite this

Productivity, absorbed photosynthetically active radiation, and light use efficiency in crops : Implications for remote sensing of crop primary production. / Gitelson, Anatoly A.; Peng, Yi; Arkebauer, Timothy J.; Suyker, Andrew E.

In: Journal of Plant Physiology, Vol. 177, 01.04.2015, p. 100-109.

Research output: Contribution to journalArticle

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