基于GIS的四川省油桃精细化农业气候区划  

Precise Comprehensive Agricultural Climate Regional of Nectarine in Sichuan Province Based on GIS

作　　者：王锐婷[1,2] 李金建[2] 杨涛 张菡[2] 

机构地区：[1]中国气象局成都高原气象研究所,成都610072 [2]四川省农业气象中心,成都610072 [3]四川省大气探测中心,成都610072

出　　处：《中国农学通报》2013年第35期355-361,共7页Chinese Agricultural Science Bulletin

基　　金：中国气象局气象关键技术集成与应用项目"精细化农业气候区划制作与服务系统改进与推广应用"(CAMGJ2011Z03);中国气象局气象关键技术集成与应用项目"农业气象灾害风险评估及区划技术应用"(CAMGJ2012M43)

摘　　要：从影响油桃生长的光、温、水条件出发,分析油桃对气候条件的需求,影响其生长的限制因素,综合前人研究成果,以年平均气温、冬季日平均气温<7.2℃天数、4—5月平均气温、6月平均气温、5月下旬到6月中旬雨日、3—6月日照时数以及4—10月降水量为区划指标,用四川省150个气象站气象资料为基本资料,通过数理统计方法分别建立各指标要素的空间分布模型,利用GIS技术和决策树法,对四川省油桃进行精细化农业气候区划,分为适宜区、较适宜区、不适宜区3个区域,以期对四川油桃的产业化布局和发展起到科学的指导作用。Fundamental requirements, sunshine, temperature and precipitation, were considered to analyze the factors limiting the growth and development of nectarine. Based on the previous research, several indexes were chosen for climatic suitability division, including annual mean temperature, number of days when daily mean temperature was below 6℃ in winter, mean temperature from April to May, mean temperature in June, rain days from late May to middle June, sunshine hours from March to June, and accumulated precipitation from April to October. The spatial distribution models for each index were built by mathematical statistics methods. Meteorological data from 150 stations were used in these models to analyze the spatial distribution of each index in Sichuan province on GIS platform. With decision-tree method, the whole region could be divided into three climatic suitability divisions for nectarine growth, as the most suitable areas, the suitable areas and the unsuitable areas.

关 键 词：四川 油桃 GIS 农业气候区划 

分 类 号：S3[农业科学—农艺学]