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气候变化下江西省茶叶气候生产潜力的时空变化特征 被引量:4

Spatio-temporal Variation Characteristics of Tea Climatic Potential Productivity in Jiangxi Province under Background of Climate Change
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摘要 基于江西省91个国家气象站1961~2019年的气象数据和茶叶产量资料,分析了江西省茶叶光合生产潜力、光温生产潜力和气候生产潜力的时空分布特征及其气象影响因子和气候资源利用率。结果表明:江西茶叶的光合生产潜力呈西低东高的分布特征,光温生产潜力和气候生产潜力基本上都呈南高北低的分布特征,三者的多年平均值分别为56.23、36.78和16.98 t/hm^(2);近59年来光合生产潜力、光温生产潜力和气候生产潜力分别以-1.11、-0.38、-1.04 t/(hm^(2)·10a)的速率下降;影响江西省茶叶生产的主要气象因子为降水,其次是太阳辐射和气温;江西省茶叶生产的资源利用率逐年提升,但仍然偏低,全省多年平均资源利用率仅为4.78%。 Based on the meteorological data of 91 basic weather stations in 1961~2019 and actual tea yield data,the spatio-temporal characteristics of the photosynthesis potential productivity,photo-thermal potential productivity,climatic potential productivity and climate resource utilization of tea in Jiangxi Province were analyzed.The result showed that,the photosynthesis potential productivity of tea in Jiangxi was high value in east region and low value in the west region,with an annual average of 56.23 t/hm^(2).The photo-thermal potential productivity and climatic potential productivity of tea were high value in south region and low value in the south region,with annual averages of 36.78 and 16.98 t/hm^(2).In the past 59 years,the trend of the photosynthesis potential productivity,photo-thermal potential productivity and climatic potential productivity all decreased by-1.11,-0.38,-1.04 t/(hm^(2)·10a).The precipitation was the dominant factor for the change of climatic potential productivity,followed by the solar radiation and temperature.The climate resource utilization of tea in Jiangxi Province is increasing year by year,but the value is still low,with an annual average of 4.78%.
作者 林志坚 杨爱萍 章毅之 汪建军 张坤 LIN Zhi-jian;YANG Ai-ping;ZHANG Yi-zhi;WANG Jian-jun;ZHANG Kun(Jiangxi Agricultural Meteorological Center,Nanchang 330096,China)
出处 《江西农业学报》 CAS 2021年第9期92-99,共8页 Acta Agriculturae Jiangxi
基金 2021年中国气象局创新发展专项“气候变化对江西春茶气候品质及最佳采摘期的影响研究”(CXFZ2021J49)。
关键词 江西 茶叶 气候生产潜力 气象因子 资源利用率 时空变化 Jiangxi Tea Climatic potential productivity Meteorological factor Resource utilization Spatio-temporal variation
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