摘要
为较准确地预测松突圆蚧在我国潜在的适生分布区域,笔者根据松突圆蚧的生物学、生态学特性以及寄主植物分布状况等,综合分析影响该虫生长发育的主要因子,据此应用地理信息系统分析其潜在的适生分布范围,获得了直观、明晰的松突圆蚧潜在的适生区分布图及风险等级区划图。结果表明,台湾、广东、澳门、香港、广西和福建的大部分及湖南、江西、云南南部地区为松突圆蚧潜在的1级风险区;海南、云南的中部以北地区、湖南与江西的北部、福建东北与西北部、浙江、江苏、安徽、湖北、重庆、贵州、河南、山东和河北中南部、四川东南部、陕西与山西中部以南等地区为松突圆蚧潜在的2级风险区;西藏南部、云南西北部、四川中西南部、甘肃东南部、宁夏、陕西北部、河北西部及辽宁的南部为松突圆蚧的3级风险区。据统计,其潜在分布区域的国土面积占全国国土总面积的41.5%,占我国松树分布面积的90%以上,其中1级风险、2级风险和3级风险区域的国土面积占潜在适生分布区国土总面积的比例分别为18.9%、58.7%和22.4%。
Based on the biology,ecology of Hemiberlesia pitysophila Takagi and the distribution of host pines,the potential distribution regions and their risk degree in China were analyzed and predicted using the geographic information system.It was defined as the potential high risk areas for occurrence of the pine armored scale including Taiwan,Guangdong,Macao,Hong Kong,most of Guangxi and Fujian,the southern of Yunnan and Hunan,Jiangxi.And the potential moderate risk areas covered north central of Hainan and Yunnan,northern of Hunan and Jiangxi,northeast and northwest of Fujian,Zhejiang,Jiangsu,Anhui,Hubei,Chongqing,Guizhou,Henan,Shandong and central and southern of Hebei,southeastern of Sichuan,south central of Shaanxi and Shanxi.And the low risk areas were southern of Tibet,northwest of Yunnan,southwest of Sichuan,southeast of Gansu,north of Ningxia and Shaanxi,west of Hebei and southwest of Liaoning.The potential distribution area for the scale accounted for 41.5% of the total land area and more than 90% of the pine distribution area in China.The percentages to the total potential suitable distribution ares in China of high,medium and low risk areas for the pest occurrence were 18.9%,58.7% and 22.4%,respectively.The results provided the theoretical basis of developing useful quarantine and risk control strategies for H.pitysophila.
出处
《福建林学院学报》
CSCD
北大核心
2013年第2期165-169,共5页
Journal of Fujian College of Forestry
基金
福建省科技计划基金资助项目(2002N086)
福建省科技重大专项子专题基金资助项目(2006NZ001-2)
国家自然科学基金资助项目(30671690
30972379)
福建省自然科学基金资助项目(2009J06007)
关键词
松突圆蚧
地理信息系统
适生分布区
Hemiberlesia pitysophila Takagi
geographical information system
suitable distribution regions