入侵害虫菊方翅网蝽在中国的潜在分布预测
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  • 英文篇名:Prediction of potential distribution of the invasive Chrysanthemum Lace Bug,Corythucha marmorata in China based on Maxent
  • 作者:王志华 ; 于静亚 ; 沈锦 ; 梁玉婷 ; 章晓琴 ; 董立坤 ; 余红芳
  • 英文作者:WANG Zhi-Hua;YU Jing-Ya;SHEN Jin;LIANG Yu-Ting;ZHANG Xiao-Qin;DONG Li-Kun;YU Hong-Fang;Wuhan Institute of Landscape Architecture;
  • 关键词:菊方翅网蝽 ; Maxent模型 ; 地理信息系统 ; 潜在分布
  • 英文关键词:Corythucha marmorata;;Maxent model;;geographic information system ArcGIS;;potential distribution
  • 中文刊名:KCTD
  • 英文刊名:Journal of Environmental Entomology
  • 机构:武汉市园林科学研究院;
  • 出版日期:2019-05-25
  • 出版单位:环境昆虫学报
  • 年:2019
  • 期:v.41
  • 基金:武汉市园林和林业局园林科研项目(武园-2016-64号)
  • 语种:中文;
  • 页:KCTD201903025
  • 页数:8
  • CN:03
  • ISSN:44-1640/Q
  • 分类号:195-202
摘要
菊方翅网蝽Corythucha marmorata(Uhler,1878)是我国新近发现的外来入侵害虫,研究明确菊方翅网蝽在我国的潜在分布范围对其监测预警及科学防控具有重要意义。本研究根据菊方翅网蝽的地理分布数据及相关环境变量,运用Maxent生态位模型与ArcGIS预测了菊方翅网蝽在中国的潜在地理分布范围。预测结果表明:菊方翅网蝽在我国的适生区主要分布于100°~125°E,20°~40°N的亚热带、暖温带区域,其中高适生区主要集中在长江中下游地区,包括浙江、江苏、湖南、上海大部分地区、安徽南部、湖北南部、江西西部及南部、贵州东部、福建东部、广西北部、山东中部、河南南部以及重庆、台湾局部;此外,极端气温、平均气温、最干月份降雨量对菊方翅网蝽的潜在分布影响较大。菊方翅网蝽已在我国成功入侵并迅速蔓延成灾,应在疫区边缘地带加强监测,并采取措施防止其进一步扩散。
        Corythucha marmorata is a newly invasive pest in recent years, a profound understanding of the pest's potential distribution will be beneficial for its monitoring and controlling in China. The potential geographic distributions of C.marmorata was analyzed by maximum-entropy(Maxent) model and geographic information system(ArcGIS) using the pest's occurrence records and environmental variables. The results indicated that C.marmorata had a wide potential range in China, which mainly lying at latitude 20°~40°N and longitude 100°~125°E in the subtropical and warm temperate zone. The high suitable distribution mainly included most of Zhejiang, Jiangsu, Hunan, Shanghai, south of Anhui, south of Hubei, west of Jiangxi, east of Guizhou, east of Fuzhou, north of Guangxi, central of Shandong, south of Henan, part of Chongqing, Taiwan, along with the Lower Yangtze Region. Moreover, the potential distribution was greatly influenced by max temperature of warmest month, annual mean temperature, precipitation of driest month and min temperature of coldest month. C.marmorata had successfully invaded China and spreaded rapidly. We should enhance the monitoring in the edge of its epidemic area and take measures to prevent its further expansion.
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