Article(id=1242138435553669784, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138422521967171, articleNumber=null, orderNo=13, doi=10.3981/j.issn.1000-7857.2020.13.010, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1582300800000, receivedDateStr=2020-02-22, revisedDate=1587571200000, revisedDateStr=2020-04-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1596614041223, onlineDateStr=2020-08-05, pubDate=1594569600000, pubDateStr=2020-07-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1596614041223, onlineIssueDateStr=2020-08-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078480846, creator=sys-migrate, updateTime=1774078480846, updator=sys-migrate, issue=Issue{id=1242138422521967171, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='13', pageStart='1', pageEnd='148', issueExtLink='null', onlineDate='null', pubDate='1594569600000', pubDateStr='2020-07-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078477741, creator='sys-migrate', updateTime=1774078477741, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=83, endPage=95, ext={EN=ArticleExt(id=1242138438439346337, articleId=1242138435553669784, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Clustering analysis and biogeographical division of the distribution of insects in the world, columnId=1242138431153844870, journalTitle=Science & Technology Review, columnName=Exclusive: Theory and Practice of Chinese Geography, runingTitle=null, highlight=null, articleAbstract=The insect is the largest biota group in the world, but so far without its own geographical regionalization scheme. This paper quantitatively analyzes the distribution pattern of the world insects to work out a geographical regionalization scheme for worldwide insects. According to the topography, the climate and other ecological conditions, the continents of the world are divided into 67 basic geographic units (excluding Antarctica). Using our similarity general formula (SGF) and the multivariate similarity clustering analysis（MSCA）method, the distributional data of the total 31 orders 1208 families 104344 insect genera are analyzed. The clustering results of the MSCA method see distinct hierarchies. The level of similarity is 0.300 and 0.200, respectively, 67 BGUs are gathered into 20 small unit crowds and seven big unit crowds; The composition of each crowd is adjacent, with no "noise" and "enclaves"; the ecological environment conditions of each crowd are relatively independent of each other; and each crowd has its own endemic of the insect group. According to the clustering results of the MSCA, the first global insect geographical regionalization scheme is worked out, including seven kingdoms and 20 subkingdoms. The insect fauna characteristics of every kingdom and subkingdom are analyzed., authors=SHEN Xiaocheng^1,2, LU Jiqi², REN Yingdang¹, SHEN Qi³, LIU Xintao¹, YANG Linlin¹, authorsList=SHEN Xiaocheng, LU Jiqi, REN Yingdang, SHEN Qi, LIU Xintao, YANG Linlin, authorCompany=1. Institute of Plant Protection, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China;
2. The School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China;
3. First Clinical College, Henan University of Traditional Chinese Medicine, Zhengzhou 450000, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=NCx700nICNmbMAsw/+p4HQ==, pdfFileSize=3380816, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242138437185249433, articleId=1242138435553669784, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=世界昆虫分布格局的聚类分析及地理区划, columnId=1242138428251386492, journalTitle=科技导报, columnName=专题：中国地理学理论与实践, runingTitle=null, highlight=null, articleAbstract=为了制定世界昆虫地理区划方案，按地形、气候等生态条件将世界陆地划分为67个基础地理单元，汇总世界31目1208科104344属昆虫在各地理单元的分布，用新提出的相似性通用公式和多元相似性聚类分析法进行定量分析，得到层次分明、结构合理的聚类实验：在相似性水平为0.300时，67个基础地理单元聚成20个小单元群；在0.200时，聚成7个大单元群。实验结果符合统计学、地理学、生态学、生物学的要求。依此结果制定了7界20亚界的世界首个昆虫的地理区划方案，并分析了各界、各亚界的昆虫区系特征，提出了昆虫与动物、植物、微生物分布格局的同质性及建立世界生物地理区划方案的可能性。, authors=申效诚^1,2, 路纪琪², 任应党¹, 申琪³, 刘新涛¹, 杨琳琳¹, authorsList=申效诚, 路纪琪, 任应党, 申琪, 刘新涛, 杨琳琳, authorCompany=1. 河南省农业科学院植物保护研究所, 郑州 450002;
2. 郑州大学生命科学学院, 郑州 450001;
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