期刊文献+

基于MaxEnt的非洲橘硬蓟马在全球及中国的潜在分布区预测 被引量:21

Potential Distribution of Scirtothrips aurantii in China and the World Predicted by MaxEnt
下载PDF
导出
摘要 非洲橘硬蓟马是柑橘等多种植物的重要检疫性害虫,明确其在全球及中国的潜在分布区域,对于有效控制此虫害在全球的扩散蔓延具有重要的意义。基于最大熵算法的生态位模型MaxEnt和地理信息系统软件Arc-Gis对非洲橘硬蓟马进行适生区分析及预测,用受试者工作特征曲线对预测模型和结果进行评估,用Jackknife法分析影响非洲橘硬蓟马的重要因子。结果表明,非洲橘硬蓟马在全球的适生区为非洲南部、南美洲中东部、墨西哥中部、澳大利亚东海岸、印度南部、东南亚中部和西亚的也门;该虫在中国的高风险区为海南大部和云南中部,中风险区为贵州大部、广西大部、广东大部、福建东南沿海和四川西南部。对非洲橘硬蓟马发生具有重要影响的是温度季节性变化标准差、等温性和年均温变化范围。 Scirtothrips aurantii is an important pest of citrus and object of cosmopolitan plants quarantine.Determination of the potential geographical distribution of Scirtothrips aurantii is an important factor for effectively controlling the spreading of this pest. In this study, niche model MaxEnt and Arc-Gis were applied to analyze and predict the suitable distribution area of Scirtothrips aurantii, ROC was used to evaluate the prediction model and the prediction results, and Jackknife analysis was made to analyze the most important environmental factors affecting the occurrence of Scirtothrips aurantii. The results showed that, south of Africa,mid-east of southern America, mid of Mexico, east coast of Australia, south of India, mid of southeastern Asia and Yemen were the main suitable areas for Scirtothrips aurantii in the world. In China, the high risk areas were in Hainan and the mid of Yunnan, the secondary risk areas were in Guizhou, Guangxi, Guangdong,southeast of Fujian and south of Sichuan. The important environmental factors affecting the occurrence of Scirtothrips aurantii were temperature seasonality, isothermally and temperature annual range.
出处 《中国农学通报》 CSCD 2014年第28期315-320,共6页 Chinese Agricultural Science Bulletin
基金 中国气象局"2012年业务专项经费" 四川省气象局科学技术研究开发课题"基于OpenCMS的内容管理系统应用开发研究"(川气课题2013-开发-10) 四川省农村经济综合信息中心业务技术攻关课题"两种水稻害虫适生区分析和相关气象指标研究"(农信课题201403)
关键词 非洲橘硬蓟马 MAXENT 适生性分析 影响因子 Scirtothrips aurantii MaxEnt suitability analysis environmental factors
  • 相关文献

参考文献35

  • 1Rafter M A, Walter G H. Mate Recognition in the South African Citrus Thrips Scirtothrips aurantii (Faure) and Cross-Mating Tests with Populations from Australia and South Afidea[J]. Journal of Insect Behavior,2013,26(6):780-795.
  • 2Brian W Garms, Laurence A Mound, Nancy A Schellhorn. Polyphagy in the Australian population of South African citrus thrips (Scirtothrips aurantii Faure) [J].Australian Journal of Entomology,2013,52(3):282-289.
  • 3Grout T G, Richards G I. Value of pheromone traps for predicting infestations of red scale, Aonidiella aurantii (Maskell) (Horn., Diaspididae), limited by natural enemy activity and insecticides used to control citrus thrips, Scirtothrips aurantii Faure (Thys., Thripidae)[J]. Journal of Applied Entomology, 1991,11 ( 1/5):20-27.
  • 4Samways M J. Spatial distribution of Scirtothrips aurantii Faure (Thysanoptera: Thripidae) and threshold level for one pet cent damage on citrus fruit based on trapping with fluorescent yellow sticky traps[J]. Bulletin of Entomological Research,1986,76(4):649- 659.
  • 5黄丽莉,薛芳森,黄河,曾辉.非洲橘硬蓟马的检疫特征与风险分析[J].植物检疫,2011,25(5):62-65. 被引量:2
  • 6邢丁亮,郝占庆.最大熵原理及其在生态学研究中的应用[J].生物多样性,2011,19(3):295-302. 被引量:124
  • 7Berger A L, Della Pietra S A, Della Pietra V J.A maximum entropy approach to natural language processing[J].Computational Linguistics, 1996,22(1):39-71.
  • 8Phillips Steven J, Dudik Miroslav, Schapire Robert E. A maximum entropy approach to species distribution modeling[A].Proceedings of the Twenty-First International Conference on Machine Learning [C].2004.
  • 9段居琦,周广胜.中国水稻潜在分布及其气候特征[J].生态学报,2011,31(22):6659-6668. 被引量:63
  • 10孙敬松,周广胜.利用最大熵法(MaxEnt)模拟中国冬小麦分布区的年代际动态变化[J].中国农业气象,2012,33(4):481-487. 被引量:33

二级参考文献423

共引文献985

同被引文献233

引证文献21

二级引证文献216

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部