Spatio-temporal Distribution of Suitable Transplanting Period and Picking Period for Pepper in Guizhou Province
The transplanting period and picking period of pepper are crucial links for the growth of pepper.In order to investigate the distribution law of the appropriate transplanting period and picking period for pepper,this paper uses the daily average temperature data from 84 national conventional ground observation stations in Guizhou Province during 1980-2020 and the five-day sliding average method,correlation analysis method and regression fitting method and analyzes the spatio-temporal distribution characteristics of suitable transplanting period and picking period for pepper in Guizhou Province from 1980 to 2020.The results are as follows:(1)The suitable transplanting period of pepper in Guizhou Province varies greatly from February 27 to May 7,and the spatial distribution shows obvious regional differences,gradually decreasing from northwest to southeast,which is mainly caused by the large difference in altitude.In the past 40 years,the transplanting period changed with time.Among the eight sites selected,four have passed the significance test at the level of 0.05,namely,Luodian,Rongjiang,Weining and Bijie stations.(2)The picking period of pepper in Guizhou Province also has great regional differences,varying from July 30-October 19.Its spatial distribution is distinct regionally as well,gradually increasing from northwest to south due to the great difference in altitude.During the past 40 years,the picking period changed with time,too.Among the eight selected sites,only 2 sites(Weining and Bijie stations)have passed the significance test at the level of 0.05.Due to the different altitude of Guizhou province,the suitable transplanting period and picking period of pepper show different rules.From 1980 to 2020,the transplanting period of pepper is mainly concentrated in late March to mid-April,and the picking period is mainly concentrated in early September to early October.
Guizhou Provincepeppertransplanting periodpicking periodspatial and temporal distribution
NETL
NSTL
万方数据
