DocumentCode :
2475107
Title :
Spatial pattern of light use efficiency of subtropical evergreen coniferous in China
Author :
Zhang, Xiujuan ; Han, Hairong ; Wu, Chu ; Wang, Junbang
Author_Institution :
Coll. of Horticulture & Garden, Yangtze Univ., Jingzhou, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
7101
Lastpage :
7104
Abstract :
Light-use efficiency (LUE) is used commonly with remotely sensed and meteorological data to monitor terrestrial ecosystem primary production (NPP). Studying the variation in space of LUE is helpful to obtain a deep understanding of the carbon cycles. Spatial pattern of LUE in subtropics evergreen coniferous based on NPP were studied at local level. The results showed that the average of LUE was 0.71 g-MJ-1. LUE tracked closely with NPP and NPP gradually decreased from southeast to northwest in subtropics evergreen coniferous. In a linear regression, longitude, latitude, and precipitation accounted for approximately 50.5 % of the variability in LUE. LUE showed single-peaked curve followed with the increase of precipitation. The highest LUE was reached when the precipitation is about 1200 ~ 1400 mm. Spatial patterns of the LUE were discussed based on the observation data, which provides very crucial data for further correction, improvement and evaluation of LUE model.
Keywords :
atmospheric precipitation; atmospheric techniques; data analysis; ecology; regression analysis; remote sensing; China; LUE spatial pattern; light use efficiency; linear regression analysis; meteorological data; northwest region; precipitation analysis; remote sensing; southeast region; subtropical evergreen coniferous forest; terrestrial ecosystem primary production; Atmospheric modeling; Biological system modeling; Carbon; Forestry; Productivity; Vegetation; evergreen coniferous; light use efficiency; local level;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5966001
Filename :
5966001
Link To Document :
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