Research on Maximum Light Use Efficiency Based on CASA-VPM Model

LIU Jianfeng, CHEN Lin, MENG Qi, WANG Xuan, WANG Yuanzheng, WANG Laigang, ZHANG Xiwang

doi:10.15933/j.cnki.1004-3268.2019.12.024

Journal of Henan Agricultural Sciences >

2019 , Vol. 48 >Issue 12: 157 - 163

DOI: https://doi.org/10.15933/j.cnki.1004-3268.2019.12.024

Agricultural Information and Engineering and Agricultural Product Processing

Research on Maximum Light Use Efficiency Based on CASA-VPM Model

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(1.Yellow River Conservancy Technical Institute,Kaifeng 475001,China;2. No. 3 Geological Exploration Institute,Henan Bureau of Geo-Exploration & Mineral Development,Zhengzhou 451464,China;3. Key Laboratory of Geospatial Technology for Middle and Lower Reaches of the Yellow River Regions,Ministry of Education,Kaifeng 475004,China;4.Institute of Agricultural Economics and Information,Henan Academy of Agricultural Sciences,Zhengzhou 450002,China;5.College of Environment & Planning,Henan University,Kaifeng 475004,China)

Received date: 2019-05-23

Online published: 2019-12-15

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Abstract

By comprehensively utilizing CASA and the VPM models,the estimation method of ε_max value was studied on the pixel scale,to improve the spatial precision of ε_max value,and provide technical support for guiding agricultural production and developing precision agriculture.Taking Henan Province as research area,NPP value was calculated by combining with CASA model and relational model using MODIS data.Further combined VPM model,ε_maxvalue was obtained.Finally,the land use data was used to carry out the temporal and spatial analysis of the ε_max values for the four vegetation cover types,i.e.forest,grass,paddy field and dry land. And the influence of related environmental factors on ε_max value was also explored.The results showed that,the value of εmax was between 0.000 and 4.796 g/MJ during 2001 and 2015.And it was spatially higher in the northwest and southwest,and in other regions was low.On the monthly scale change,all types of vegetation cover reached the peak value between June and August.The ε_max value of dry land showed obvious bimodal distribution,which was consistent with the cropping system of yield two crops a year in Henan Province.Among the four vegetation cover types,the leaves of forest for photosynthesis were denser and larger,so ε_max value was significantly higher.Among environmental impact factors,fertilizer application amount(convert into purification),carbon dioxide content,vegetation water content index and effective irrigation area showed a significant positive correlation with εmax value,and the correlation coefficients were 0.66,0.61,0.56 and 0.53,respectively.It can be seen that the change of ε_max value was the result of the combined effects of natural and human factors.The results indicate that an appropriate increase in human influence can increase the utilization of light energy at the critical stage of crop growth,thereby increasing crop production potential and yield.

Key words： Carnegie-ames-stanford approach model; Vegetation photosynthesis model; Maximum light use efficiency; Net primary productivity; Gross primary productivity; Photosynthesis; Temporal and spatial distribution; Vegetation cover type

Cite this article

LIU Jianfeng, CHEN Lin, MENG Qi, WANG Xuan, WANG Yuanzheng, WANG Laigang, ZHANG Xiwang . Research on Maximum Light Use Efficiency Based on CASA-VPM Model[J]. Journal of Henan Agricultural Sciences, 2019 , 48(12) : 157 -163 . DOI: 10.15933/j.cnki.1004-3268.2019.12.024

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