摘要
【目的】利用旺苍县及其周边24个站点1971-2017年气候资料,以及旺苍地区土壤资料、地形资料,根据红心猻猴桃生长发育对气候、土壤、地形等环境因子要求,建立区划指标体系,旨在填补当地研究空白,为旺苍红心猻猴桃产业发展布局提供参考。【方法】基于国家基础地理信息中心提供的1:250000DEM数据,利用GIS技术,建立小网格推算模型,对红心猻猴桃各区划指标进行网格推算及空间分析,按照不适宜、次适宜、适宜3个等级,对旺苍县红心猻猴桃种植适宜性进行区划。【结果】红心猻猴桃种植最适宜区域面积为208.53 km^2,主要分布在旺苍县东北部檬子乡、英萃镇、正源乡斜线上,东西向槽谷地区的东侧,以及南部农建乡、化龙乡等地区;红心猻猴桃种植次适宜区域面积为597.15 km^2,主要集中在旺苍县南部,适宜区周围。【结论】本文综合考虑了气候、土壤、地形3种生态因素,充分结合旺苍县本地实际,采用指标分级法,得出了详细、直观的结果,能够为当地政府、决策部门和企业规划管理红心猻猴桃产业发展提供有价值的参考。
【Objective】According to the requirement of climate,soil topography and other environmental factors for the growth and development of red-centered kiwifruit,the index system of regionalization by the soil data,terrain data and meteorological data from 1971 to 2017 at 24 stations around Wangcang county was established to provide a reference for the development layout of Wangcang red-centered kiwifruit industry and fill in the gap of local research.【Method】Based on the GIS technology and the 1:250000 DEM data which were from the National Basic Geographic Information Center,a small grid computing model was established to perform grid estimation and spatial analysis on the red-centered kiwifruit regionalization indicators,and the planting suitabilities of red-centered kiwifruit in Wangcang county were divided into three regions:unsuitable area,sub-suitable area and suitable area.【Result】The suitable area for red-centered kiwifruit planting covered 208.53 square kilometers and mainly concentrated in the diagonal line of Mengzi town,Yingcui town and Zhengyuan town in the northeast of Wangcang county,the south Nonjian town,Hualong town in the east side of the east-west trough valley region and other regions;The sub-suitable area for red-centered kiwifruit planting covered 597.15 square kilometers and mainly concentrated in the southern Wangcang county around the most suitable area.【Conclusion】The three ecological factors of climate,soil and topography were synthetically considered in the paper.The local reality of Wangcang county was fully combined,and the obtained detailed and intuitive results could be showed by adopting the index classification method and provide a valuable reference for the local government,decision-making departments and enterprises to plan and manage the development of red kiwifruit industry.
作者
金垚
熊士斌
刘琰琰
张玉芳
上官昌贵
JIN Yao;XIONG Shi-bin;LIU Yan-yan;ZHANG Yu-fang;SHANGGUAN Chang-gui(Sichuan Provincial Emergency and Disaster Reduction Division,Sichuan Chengdu 610072,China;College of Atmospheric Science&Plateau Atmosphere and Environment Key Laboratory of Sichuan Province,Chengdu University of Information Technology,Sichuan Chengdu 610225,China;Sichuan Provincial Agricultural Meteorological Centre,Sichuan Chengdu 610072,China)
出处
《西南农业学报》
CSCD
北大核心
2019年第9期2141-2149,共9页
Southwest China Journal of Agricultural Sciences
基金
四川省科技厅应用基础研究项目(2018JY0341)
高原与盆地暴雨旱涝灾害四川省重点实验室(2018-重点-05-04)