Share Email Print

Proceedings Paper

Estimating the seasonal maximum light use efficiency
Author(s): Kanako Muramatsu; Shinobu Furumi; Noriko Soyama; Motomasa Daigo
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Light use efficiency (LUE) is a key parameter in estimating gross primary production (GPP) based on global Earth-observation satellite data and model calculations. In current LUE-based GPP estimation models, the maximum LUE is treated as a constant for each biome type. However, the maximum LUE varies seasonally. In this study, seasonal maximum LUE values were estimated from the maximum incident LUE versus the incident photosynthetically active radiation (PAR) and the fraction of absorbed PAR. First, an algorithm to estimate maximum incident LUE was developed to estimate GPP capacity using a light response curve. One of the parameters required for the light response curve was estimated from the linear relationship of the chlorophyll index and the GPP capacity at a high PAR level of 2000 (µmolm-2s-1), and was referred to as“ the maximum GPP capacity at 2000". The relationship was determined for six plant functional types: needleleaf deciduous trees, broadleaf deciduous trees, needleleaf evergreen trees, broadleaf evergreen trees, C3 grass, and crops. The maximum LUE values estimated in this study displayed seasonal variation, especially those for deciduous broadleaf forest, but also those for evergreen needleleaf forest.

Paper Details

Date Published: 8 November 2014
PDF: 9 pages
Proc. SPIE 9260, Land Surface Remote Sensing II, 92603R (8 November 2014); doi: 10.1117/12.2069142
Show Author Affiliations
Kanako Muramatsu, Nara Women's Univ. (Japan)
Shinobu Furumi, Nara Saho College (Japan)
Noriko Soyama, Tenri Univ. (Japan)
Motomasa Daigo, Doshisha Univ. (Japan)

Published in SPIE Proceedings Vol. 9260:
Land Surface Remote Sensing II
Thomas J. Jackson; Jing Ming Chen; Peng Gong; Shunlin Liang, Editor(s)

© SPIE. Terms of Use
Back to Top