Disentangling Environmental and Anthropogenic Impacts on the Distribution of Unintentionally Introduced Invasive Alien Insects in Mainland China
Abstract Globalization increases the opportunities for unintentionally introduced invasive alien species, especially for insects, and most of these species could damage ecosystems and cause economic loss in China. In this study, we analyzed drivers of the distribution of unintentionally introduced i...
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| Veröffentlicht in: | Journal of insect science (Tucson, Ariz.) Ariz.), 2017-05, Vol.17 (3) |
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| container_title | Journal of insect science (Tucson, Ariz.) |
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| creator | Zhao, Cai-Yun Li, Jun-Sheng Xu, Jing Liu, Xiao-Yan |
| description | Abstract
Globalization increases the opportunities for unintentionally introduced invasive alien species, especially for insects, and most of these species could damage ecosystems and cause economic loss in China. In this study, we analyzed drivers of the distribution of unintentionally introduced invasive alien insects. Based on the number of unintentionally introduced invasive alien insects and their presence/absence records in each province in mainland China, regression trees were built to elucidate the roles of environmental and anthropogenic factors on the number distribution and similarity of species composition of these insects. Classification and regression trees indicated climatic suitability (the mean temperature in January) and human economic activity (sum of total freight) are primary drivers for the number distribution pattern of unintentionally introduced invasive alien insects at provincial scale, while only environmental factors (the mean January temperature, the annual precipitation and the areas of provinces) significantly affect the similarity of them based on the multivariate regression trees. |
| doi_str_mv | 10.1093/jisesa/iex042 |
| format | Article |
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Globalization increases the opportunities for unintentionally introduced invasive alien species, especially for insects, and most of these species could damage ecosystems and cause economic loss in China. In this study, we analyzed drivers of the distribution of unintentionally introduced invasive alien insects. Based on the number of unintentionally introduced invasive alien insects and their presence/absence records in each province in mainland China, regression trees were built to elucidate the roles of environmental and anthropogenic factors on the number distribution and similarity of species composition of these insects. Classification and regression trees indicated climatic suitability (the mean temperature in January) and human economic activity (sum of total freight) are primary drivers for the number distribution pattern of unintentionally introduced invasive alien insects at provincial scale, while only environmental factors (the mean January temperature, the annual precipitation and the areas of provinces) significantly affect the similarity of them based on the multivariate regression trees.</description><identifier>ISSN: 1536-2442</identifier><identifier>EISSN: 1536-2442</identifier><identifier>DOI: 10.1093/jisesa/iex042</identifier><identifier>PMID: 28973576</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Animals ; China ; Distribution ; Insecta ; Insects ; Introduced Species ; Invasive species</subject><ispartof>Journal of insect science (Tucson, Ariz.), 2017-05, Vol.17 (3)</ispartof><rights>The Authors 2017. Published by Oxford University Press on behalf of Entomological Society of America. 2017</rights><rights>The Authors 2017. Published by Oxford University Press on behalf of Entomological Society of America.</rights><rights>COPYRIGHT 2017 Oxford University Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c493t-d7eaa36a66a884a89c6f79c02fab879c5324687281bfafe3bfeff2f95d125e763</citedby><cites>FETCH-LOGICAL-c493t-d7eaa36a66a884a89c6f79c02fab879c5324687281bfafe3bfeff2f95d125e763</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5538323/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5538323/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,1604,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28973576$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Cai-Yun</creatorcontrib><creatorcontrib>Li, Jun-Sheng</creatorcontrib><creatorcontrib>Xu, Jing</creatorcontrib><creatorcontrib>Liu, Xiao-Yan</creatorcontrib><title>Disentangling Environmental and Anthropogenic Impacts on the Distribution of Unintentionally Introduced Invasive Alien Insects in Mainland China</title><title>Journal of insect science (Tucson, Ariz.)</title><addtitle>J Insect Sci</addtitle><description>Abstract
Globalization increases the opportunities for unintentionally introduced invasive alien species, especially for insects, and most of these species could damage ecosystems and cause economic loss in China. In this study, we analyzed drivers of the distribution of unintentionally introduced invasive alien insects. Based on the number of unintentionally introduced invasive alien insects and their presence/absence records in each province in mainland China, regression trees were built to elucidate the roles of environmental and anthropogenic factors on the number distribution and similarity of species composition of these insects. Classification and regression trees indicated climatic suitability (the mean temperature in January) and human economic activity (sum of total freight) are primary drivers for the number distribution pattern of unintentionally introduced invasive alien insects at provincial scale, while only environmental factors (the mean January temperature, the annual precipitation and the areas of provinces) significantly affect the similarity of them based on the multivariate regression trees.</description><subject>Animals</subject><subject>China</subject><subject>Distribution</subject><subject>Insecta</subject><subject>Insects</subject><subject>Introduced Species</subject><subject>Invasive species</subject><issn>1536-2442</issn><issn>1536-2442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><recordid>eNqFUk1v1DAQjRCIlsKRK_IRDmkTO1--IK22BVYqQgJ6tibOOOvKsRfbWbX_gp-MVymle0I-eGb83vM86WXZ27I4LwvOLm51wAAXGu-Kij7LTsuaNTmtKvr8SX2SvQrhtihoUXX8ZXZCO96yum1Os9-XiW8j2NFoO5Iru9fe2ekwMgTsQFY2br3buRGtlmQz7UDGQJwlcYskkaPX_Rx1GjhFbqy2MXFTC8bck42N3g2zxCGVewh6j2RlNNrUBjwIaUu-grbm8NV6qy28zl4oMAHfPNxn2c2nq5_rL_n1t8-b9eo6lxVnMR9aBGANNA10XQUdl41quSyogr5LRc1o1XQt7cpegULWK1SKKl4PJa2xbdhZ9nHR3c39hINMW3swYuf1BP5eONDi-MXqrRjdXtQ16xhlSeD9g4B3v2YMUUw6SDTJCro5iJJXbcHbktUJer5ARzAotFUuKcp0Bpy0dBaVTvNVXZRpacp5Inw4IiRMxLs4whyC2Pz4fozNF6z0LgSP6tFDWYhDRMQSEbFEJOHfPTX-iP6biX_G3Lz7j9Yf1d7LkA</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Zhao, Cai-Yun</creator><creator>Li, Jun-Sheng</creator><creator>Xu, Jing</creator><creator>Liu, Xiao-Yan</creator><general>Oxford University Press</general><scope>TOX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170501</creationdate><title>Disentangling Environmental and Anthropogenic Impacts on the Distribution of Unintentionally Introduced Invasive Alien Insects in Mainland China</title><author>Zhao, Cai-Yun ; Li, Jun-Sheng ; Xu, Jing ; Liu, Xiao-Yan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c493t-d7eaa36a66a884a89c6f79c02fab879c5324687281bfafe3bfeff2f95d125e763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Animals</topic><topic>China</topic><topic>Distribution</topic><topic>Insecta</topic><topic>Insects</topic><topic>Introduced Species</topic><topic>Invasive species</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Cai-Yun</creatorcontrib><creatorcontrib>Li, Jun-Sheng</creatorcontrib><creatorcontrib>Xu, Jing</creatorcontrib><creatorcontrib>Liu, Xiao-Yan</creatorcontrib><collection>Access via Oxford University Press (Open Access Collection)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of insect science (Tucson, Ariz.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Cai-Yun</au><au>Li, Jun-Sheng</au><au>Xu, Jing</au><au>Liu, Xiao-Yan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Disentangling Environmental and Anthropogenic Impacts on the Distribution of Unintentionally Introduced Invasive Alien Insects in Mainland China</atitle><jtitle>Journal of insect science (Tucson, Ariz.)</jtitle><addtitle>J Insect Sci</addtitle><date>2017-05-01</date><risdate>2017</risdate><volume>17</volume><issue>3</issue><issn>1536-2442</issn><eissn>1536-2442</eissn><abstract>Abstract
Globalization increases the opportunities for unintentionally introduced invasive alien species, especially for insects, and most of these species could damage ecosystems and cause economic loss in China. In this study, we analyzed drivers of the distribution of unintentionally introduced invasive alien insects. Based on the number of unintentionally introduced invasive alien insects and their presence/absence records in each province in mainland China, regression trees were built to elucidate the roles of environmental and anthropogenic factors on the number distribution and similarity of species composition of these insects. Classification and regression trees indicated climatic suitability (the mean temperature in January) and human economic activity (sum of total freight) are primary drivers for the number distribution pattern of unintentionally introduced invasive alien insects at provincial scale, while only environmental factors (the mean January temperature, the annual precipitation and the areas of provinces) significantly affect the similarity of them based on the multivariate regression trees.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>28973576</pmid><doi>10.1093/jisesa/iex042</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Animals China Distribution Insecta Insects Introduced Species Invasive species |
| title | Disentangling Environmental and Anthropogenic Impacts on the Distribution of Unintentionally Introduced Invasive Alien Insects in Mainland China |
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