On the law of variation in climate yield potential and its availability in Henan province of China

Xuefen Zhang; Youfei Zheng; Peng Hu; Zhenhe Ren; Huailiang Chen; Dong Chen; Guoqiang Zhao

doi:10.1117/12.676219

27 September 2006 On the law of variation in climate yield potential and its availability in Henan province of China

Xuefen Zhang, Youfei Zheng, Peng Hu, Zhenhe Ren, Huailiang Chen, Dong Chen, Guoqiang Zhao

Proceedings Volume 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III; 62981P (2006) https://doi.org/10.1117/12.676219
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

Climate yield potential is known to be under great effect of climate factors. Based on multi-yearly climate records and agrometeorological observations and by means of the scheme for calculating yield potential (YP) proposed by Huang Bingwei the authors investigate the distribution of mean climate YP for several representative stations in Henan and averaged availability of climate resources for staple crops in this province, and with Zhengzhou station as the typical station, calculated is made of annual YP of photosynthesis, light-temperature, and light - temperature- water and also YP of wheat and corn related to the above three factors. Wavelet analysis shows that on an annual basis, the photosynthesis YP has quasi-8 yearly periods, light-temperature YP gives quasi-8 and quasi-4 yearly periods, and light- temperature-water YP exhibits quasi-6 and quasi-10-yearly periods. Study is also undertaken of availability of climate resources by wheat and corn in the year and their growth season. Finally, analysis is done of effects of meteorological factors upon yields of the staple crops as well as their availability of the climate resources.

Citation Download Citation

Xuefen Zhang, Youfei Zheng, Peng Hu, Zhenhe Ren, Huailiang Chen, Dong Chen, and Guoqiang Zhao "On the law of variation in climate yield potential and its availability in Henan province of China", Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 62981P (27 September 2006); https://doi.org/10.1117/12.676219

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