首页> 外文会议>IFIP TC 5/SIG 5.1 conference on computer and computing technologies in agriculture;CCTA 2011 >Maximum Entropy Niche-Based Modeling (Maxent) of Potential Geographical Distributions of Lobesia Botrana (Lepidoptera: Tortricidae) in China
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Maximum Entropy Niche-Based Modeling (Maxent) of Potential Geographical Distributions of Lobesia Botrana (Lepidoptera: Tortricidae) in China

机译:基于最大熵基于生态位的中国山形莲(鳞翅目:Tor科)的潜在地理分布建模(Maxent)

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Lobesia botrana (Denis & Schiffermiiller, 1775) (Lepidoptera: Tortricidae) is one of the most destructive pests of grape in the Palearctic region. The potential geographical distribution of this pest is important to agriculture security. In this study, Maxent and ArcGIS were used to project the potential geographical distribution of L. botrana in China under the current climate. The result indicated that L. botrana was suitable in most parts of middle and southern China and the Maxent model was highly accurate for the AUC value of 0.970. Jackknife analysis revealed that low temperature influence the potential distribution of L. botrana. This study would be a decision-support of surveillance and quarantine measures.
机译:勃氏茶(Denis&Schiffermiiller,1775年)(鳞翅目:Tortricidae)是古太平洋地区最具破坏力的葡萄害虫之一。这种有害生物的潜在地理分布对农业安全很重要。在本研究中,使用Maxent和ArcGIS来预测当前气候下中国紫花苜蓿的潜在地理分布。结果表明,L。botrana适用于中国中部和南部的大部分地区,Maxent模型的AUC值为0.970,具有很高的准确性。折刀分析表明低温会影响Botrana的潜在分布。这项研究将为监视和隔离措施提供决策支持。

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