摘要
随着新疆棉花种植比例的增加，棉铃虫危害也逐年增加，建立基于区域化预测成为棉铃虫害虫信息化管理重要基础。利用新疆石河子地区的气象数据和棉铃虫（cotton bollwor m，CBW）数据，确立了棉铃虫物候学预测参数；根据新疆20多个气象站1980—2000年气象数据，将有效积温与GIS技术融合，实现了基于WebGIS的棉铃虫发生日期的预测。结果表明：新疆南部地区大于10℃积温为2000--2400日度，北部地区的棉区有效积温为1800--1900日度；田间一代棉铃虫所需要大于10℃的有效积温为610．13日度；南部地区棉铃虫为完整的3～4代，北部地区棉铃虫为完整的3代。以2001年4月25日全疆气象为例，webGIS可以实时地表达当天的温度数据、日度累积值和棉铃虫发育到特定阶段所需要的日度值。建立基于WebGIS系统，实现了棉铃虫信息的快速发布，有利于棉铃虫区域性科学管理和决策。
The cotton bollworm, Helicoverpa armigera Hi3bner, has become a serious cotton pest since the percentage of cotton increased gradually in Xinjiang region of China. The prediction system for regional scales of cotton bollworm （CBW） was important for est information management. The prediction parameters based on dataset of weather and CBW in Shihezi, Xinjiang was developed . With the support of 20 weather data from 1980 to 2001 in Xinjiang region, the law of thermal constant was linked with GIS, and realized the prediction for occurring date of CBW. When using developmental threshold 10℃, thermal sums was from 2000 to 2400 degree - days in southern of Xinjiang, and from 1.800 to 1900 degree - days in northern respectively. The thermal constants was 610.13 degree- days for the CBW generation with the developmental threshold 10℃, there were 3 - 4 of weather CBW were generations in southern, and 3 generations in northern based on thermal constants. Taking the case in April 25,2001, temperature, sum degree displayed in real time for the spatial scales - days and required degree- days for starting emerge of of Xiniiang. With the development of CBW prediction based on Web - GIS, Spatial information of CBW will be expressed, and be benefited to CBW management and decision scientifically.
出处
《干旱区地理》
CSCD
北大核心
2006年第4期582-587,共6页
Arid Land Geography
基金
中国科学院知识创新项目KZCX1-08-01
国家科技攻关项目助资((2001BA50PB01)
关键词
棉铃虫
发育温度
有效积温
预测
WEBGIS
Helicoverpa arrnigera Hubner, developmental threshold , thermal constants, prediction, Web - GIS
