NDLI: Remote sensing approach to estimating net primary productivity of temperate deciduous forest in northeast China

Content Provider	IEEE Xplore Digital Library
Author	Chaozong Xia Liya Xiong
Copyright Year	2004
Description	Author affiliation: Inst. of Geogr. Sci. & Natural Resources Res., Chinese Acad. of Sci., Beijing (Chaozong Xia)
Abstract	The application of remote sensing in the study of terrestrial ecosystem opens up an effective way for simulating terrestrial productivity. In this paper, a RUE model is established by parameterized plant photosynthesis and respiration. Photosynthetically active radiation absorbed by all surface materials $(APAR_{SFC}),$ obtained by correcting photosynthetically active radiation observed by MODIS for the effects of surface albedo, atmospheric total transmittance, and periodical change of solar incident angle and solar hour angle during daytime, together with the ratio of PAR absorbed by the canopy to $APAR_{SFC}$ (RPAR) and radiation use efficiency (RUE) based on a relationship between RUE and maximum rate of leaf photosynthesis $(A_{max})$ governed by its dependence on seasonal dynamics of foliage nitrogen content, are used to estimate gross photosynthesis. Plant respiration is divided into growing respiration as constant fraction of GPP, and maintenance respiration from leaf, stem, and root. The model is adapted to calculate the net primary productivity (NPP) of temperate deciduous forest in northeast China, supported by auxiliary data composed of daily MODIS data, atmosphere profile, ice-snow cover and landform of the study area in June 2003. In June 2003, daily mean $APAR_{SFC}$ of temperate deciduous forest in the study area reaches 8.1 MJ $m^{-2}day^{-1},$ RUE varies from 0.45 to 1.09 gC $MJ^{-1},$ and monthly NPP is 0.53 MgC $ha^{-1},$ 0.56 MgC $ha^{-1}$ for temperate deciduous coniferous forest, 0.51 MgC $ha^{-1}$ for temperate deciduous broadleaved forest. Compared with the process-based model, both of them are in agreement with simulated NPP
Starting Page	4601
Ending Page	4604
File Size	709468
Page Count	4
File Format	PDF
ISBN	0780387422
DOI	10.1109/IGARSS.2004.1370180
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remote sensing Productivity MODIS Atmospheric modeling Atmosphere Content addressable storage Ecosystems Clouds Chaos Nitrogen
Content Type	Text
Resource Type	Article

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