极端气温事件对贵州茶叶种植面积及产量的影响分析  

Analysis of the influence of extreme temperature events on the planting area and yield of tea in Guizhou Province

作　　者：张克新 吴光明 彭娇婷[1] 张洪昌 ZHANG Kexin;WU Guangming;PENG Jiaoting;ZHANG Hongchang(School of Management Science and Engineering,Guizhou University of Finance and Economics,Guiyang,Guizhou 550025,China;Green Development Strategy Research Institute/Guizhou Green Development Strategy High-End Think Tank,Guizhou University of Finance and Economics,Guiyang,Guizhou 550025,China)

机构地区：[1]贵州财经大学管理科学与工程学院,贵州贵阳550025 [2]贵州财经大学绿色发展战略研究院/贵州绿色发展战略高端智库,贵州贵阳550025

出　　处：《贵州师范大学学报（自然科学版）》2023年第3期56-61,共6页Journal of Guizhou Normal University：Natural Sciences

基　　金：国家自然科学基金项目(42163001);贵州省科技计划项目(黔科合基础-zk[2021]一般189);贵州省普通高等学校青年科技人才成长项目(黔教合KY字[2021]139);2022年度贵州财经大学校级项目(2022KYJC002)。

摘　　要：选取贵州省19个气象站点1980—2019年间逐日最高、最低气温数据,运用Sen斜率、Mann-Kendall(M-K)法和Pearson相关分析等方法,对贵州省1980—2019年极端气温事件变化特征及其对贵州茶叶的种植面积及产量的影响进行分析。结果表明:1980—2019年间贵州省极端气温指数中的夜指数的增加幅度大于昼指数的增加幅度;近40年来,贵州省茶叶种植面积和产量在2000年前变化趋势不明显,而在2000年之后呈现出快速增加的趋势;贵州省茶叶种植面积与产量主要是受冷昼日数(TX10p)、冷夜日数(TN10p)、气温日较差(DTR)、热夜日数(TR)、夏日日数(SU)、暖夜日数(TN90p)、暖昼日数(TX90p)和日最低气温最大值(TNx)这8个极端气温指数的影响,其他几个指数对茶叶种植面积与产量影响较小。The Sen's slope,non-parametric Mann-Kendall method and Pearson correlation analysis were applied in this study to investigate and analyze the influence of extreme temperature events on the planting area and yield of tea based on daily maximum and minimum temperature data collected from 19 meteorological stations in Guizhou province during 1980 to 2019.Results showed that all indices had trends consistent with warming in Guizhou from 1980 to 2019,but the warming was more pronounced for indices derived from daily minimum temperature compared to those from daily maximum temperature.During 40 years,the planting area and annual output of tea was not obvious in Guizhou during 1980-2000 but showed significant increasing trends from 2001 to 2019.In this study,eight extreme temperature indices of cold days(TX10p),cold nights(TN10p),diurnal temperature range(DTR),warm nights(TR),summer days(SU),warm night(TN90p),warm days(TX90p)and maximum value of daily minimum temperature(TNx)correlated with the planting area and yield of tea in Guizhou.The other indices have little effect on the planting area and yield of tea.

关 键 词：极端气温事件 茶叶种植面积与产量 影响分析 贵州省 

分 类 号：S571.1[农业科学—茶叶生产加工]