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Determining the potential distribution of Oryctes monoceros and Oryctes rhinoceros by combining machine-learning with high-dimensional multidisciplinary environmental variables

文献类型：期刊论文

作者Aidoo, Owusu Fordjour5; Ding, Fangyu3,4; Ma, Tian3,4; Jiang, Dong3,4; Wang, Di3,4; Hao, Mengmeng3,4; Tettey, Elizabeth2; Andoh-Mensah, Sebastian2; Ninsin, Kodwo Dadzie5; Borgemeister, Christian1
刊名SCIENTIFIC REPORTS
出版日期2022-10-19
卷号12期号:1页码:13
ISSN号2045-2322
DOI10.1038/s41598-022-21367-1
通讯作者Wang, Di(wangd.19b@igsnrr.ac.cn) ; Hao, Mengmeng(haomm@igsnrr.ac.cn)
英文摘要The African coconut beetle Oryctes monoceros and Asiatic rhinoceros beetle O. rhinoceros have been associated with economic losses to plantations worldwide. Despite the amount of effort put in determining the potential geographic extent of these pests, their environmental suitability maps have not yet been well established. Using MaxEnt model, the potential distribution of the pests has been defined on a global scale. The results show that large areas of the globe, important for production of palms, are suitable for and potentially susceptible to these pests. The main determinants for O. monoceros distribution were; temperature annual range, followed by land cover, and precipitation seasonality. The major determinants for O. rhinoceros were; temperature annual range, followed by precipitation of wettest month, and elevation. The area under the curve values of 0.976 and 0.975, and True skill statistic values of 0.90 and 0.88, were obtained for O. monoceros and O. rhinoceros, respectively. The global simulated areas for O. rhinoceros (1279.00 x 10(4) km(2)) were more than that of O. monoceros (610.72 x 10(4) km(2)). Our findings inform decision-making and the development of quarantine measures against the two most important pests of palms.
WOS关键词TEMPERATURE-DEPENDENT DEVELOPMENT ; BIOLOGICAL-CONTROL ; GEOGRAPHICAL-DISTRIBUTION ; CLIMATE-CHANGE ; RATE MODEL ; MAXENT ; COLEOPTERA ; SCARABAEIDAE
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20010203]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000870427800057
出版者NATURE PORTFOLIO
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/186312]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Di; Hao, Mengmeng
作者单位1.Univ Bonn, Ctr Dev Res ZEF, Genscherallee 3, D-53113 Bonn, Germany
2.CSIR, Oil Palm Res Inst, Coconut Res Programme, POB 245, Sekondi, Ghana
3.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
5.Univ Environm & Sustainable Dev, Sch Nat & Environm Sci, Dept Biol Phys & Math Sci, Somanya, Ghana
推荐引用方式
GB/T 7714		 Aidoo, Owusu Fordjour,Ding, Fangyu,Ma, Tian,et al. Determining the potential distribution of Oryctes monoceros and Oryctes rhinoceros by combining machine-learning with high-dimensional multidisciplinary environmental variables[J]. SCIENTIFIC REPORTS,2022,12(1):13.
APA Aidoo, Owusu Fordjour.,Ding, Fangyu.,Ma, Tian.,Jiang, Dong.,Wang, Di.,...&Borgemeister, Christian.(2022).Determining the potential distribution of Oryctes monoceros and Oryctes rhinoceros by combining machine-learning with high-dimensional multidisciplinary environmental variables.SCIENTIFIC REPORTS,12(1),13.
MLA Aidoo, Owusu Fordjour,et al."Determining the potential distribution of Oryctes monoceros and Oryctes rhinoceros by combining machine-learning with high-dimensional multidisciplinary environmental variables".SCIENTIFIC REPORTS 12.1(2022):13.

入库方式： OAI收割

来源：地理科学与资源研究所

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