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《Journal of Henan Agricultural Sciences》 2018-07
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Comprehensive Evaluation of Maximum Light Use Efficiency of Crops in Henan Province and Its Temporal and Spatial Characteristics

MENG Qi;WANG Laigang;QIN Fen;ZHANG Xiwang;LIU Sha;Key Laboratory of Digital Geography and Technology of the Middle Yellow River,Ministry of Education;Institute of Agricultural Economics and Information,Henan Academy of Agricultural Sciences;Urban Big Data Research Institute,Henan University;Henan Meteorological Bureau;  
In order to optimize the value of light energy utilization ε_(max)of important parameters in remote sensing estimation mode,this paper studied the spatiotemporal evolution of ε_(max)of farmland ecosystem in Henan province from 2001 to 2015 and its influencing factors based on vegetation photosynthetic model( VPM),the statistical data of crop yield per unit area,MOD09 A1 remote sensing data and meteorological station data. The results showed that the average ε_(max)of each county in the period from 2001 to 2015 was1. 44—2. 92 g/MJ,and the region with higher ε_(max)was located in the Huang-Huai-Hai plain in the east.The overall spatial distribution characteristics were high in the middle and north,and low in the west and south. There were large interannual fluctuations on the time scale. The correlation coefficient between theaverage ε_(max),chemical fertilizer application amount and CO_2 content were 0. 585 and 0. 335,respectively.ε_(max)and vegetation index were well fitted. The climate types in the study area were bounded by the Huaihe River in the Qinling Mountains. The subtropical climatic regions in the south had higher winter temperatures and less snowfall,and the slope factors had little effect on the crop light energy utilization efficiency.The higher light temperature level had a more pronounced effect on ε_(max),and agricultural irrigation could effectively overcome the negative impact of less precipitation on crops. Therefore,it was necessary to fully consider the spatial and temporal distribution differences of ε_(max)in the estimation process of the tele estimation model.
【Fund】: 河南省科技厅科技攻关项目(152102110047);; 黄河中下游数字地理技术教育部重点实验室与国际华人地理信息科学协会(CPGIS)合作基地开放基金项目(JOF201602);; 国家自然科学基金青年科学基金项目(41401457)
【CateGory Index】: S127;S311
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