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Assessment of the Spatial Invasion Risk of Intentionally Introduced Alien Plant Species (IIAPS) under Environmental Change in South Korea

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dc.contributor.authorAdhikari, Pradeep-
dc.contributor.authorLee, Yong-Ho-
dc.contributor.authorPark, Yong-Soon-
dc.contributor.authorHong, Sun-Hee-
dc.date.accessioned2022-11-04T07:41:52Z-
dc.date.available2022-11-04T07:41:52Z-
dc.date.created2022-11-04-
dc.date.issued2021-11-
dc.identifier.issn2079-7737-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/144626-
dc.description.abstractSimple Summary The spatial distribution and invasion risk of 10 intentionally introduced alien plant species (IIAPS) in South Korea were predicted from a species distribution model via a maximum entropy modeling approach. According to the model predictions, future environmental changes are likely to enlarge the range of the spatial distribution of all studied IIAPS in South Korea except Medicago sativa. We classified the IIAPS into three categories based on their spatial distribution and potential to spread; this revealed that four species (Coreopsis lanceolate, Eragrostis curvula, Ageratina altissima, and Lolium perenne) have the highest potential for invasion. Moreover, we classified invasion risk into three categories, low, moderate, and high, and estimated the area in each category. We found that, under current conditions, much of the country is at low risk (47.96%) of invasion, but by 2050 >54% of the country's total area will be at high risk of invasion by IIAPS. Serious invasion of IIAPS into cropland, pastures, and forests results in the loss of native biodiversity and damage to the national economy. Therefore, immediate action is required to control and manage IIAPS in South Korea. Predicting the regions at risk of invasion from IIAPS is an integral horizon-scanning activity that plays a crucial role in preventing, controlling, and eradicating invasive species. Here, we quantify the spatial distribution area and invasion risk of IIAPS using a species distribution model under different levels of environmental change in South Korea. From the model predictions, the current average spatial extent of the 10 IIAPS is 33,948 km(2), and the individual spatial extents are estimated to change by -7% to 150% by 2050 and by -9% to 156% by 2070. The spatial invasion risk assessment shows that, currently, moderate-to-high invasion risk is limited to coastal areas and densely populated metropolitan cities (e.g., Seoul, Busan, and Gwangju), but that the area with this level of risk is expected to spread toward the central and northern regions of the country in the future, covering 86.21% of the total area of the country by 2070. These results demonstrate that the risk of invasion by IIAPS is estimated to enlarge across the whole country under future environmental changes. The modeling system provided in this study may contribute to the initial control and strategic management of IIAPS to maintain the dynamic ecosystems of South Korea.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherMDPI-
dc.subjectCLIMATE-CHANGE-
dc.subjectDISTRIBUTION MODELS-
dc.subjectPOTENTIAL IMPACT-
dc.subjectIMPROVE-
dc.subjectNATURALIZATION-
dc.subjectDISTRIBUTIONS-
dc.subjectPERFORMANCE-
dc.subjectECOSYSTEMS-
dc.subjectPREDICTION-
dc.subjectACCURACY-
dc.titleAssessment of the Spatial Invasion Risk of Intentionally Introduced Alien Plant Species (IIAPS) under Environmental Change in South Korea-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Yong-Ho-
dc.identifier.doi10.3390/biology10111169-
dc.identifier.scopusid2-s2.0-85119662977-
dc.identifier.wosid000807197700001-
dc.identifier.bibliographicCitationBIOLOGY-BASEL, v.10, no.11-
dc.relation.isPartOfBIOLOGY-BASEL-
dc.citation.titleBIOLOGY-BASEL-
dc.citation.volume10-
dc.citation.number11-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaLife Sciences & Biomedicine - Other Topics-
dc.relation.journalWebOfScienceCategoryBiology-
dc.subject.keywordPlusCLIMATE-CHANGE-
dc.subject.keywordPlusDISTRIBUTION MODELS-
dc.subject.keywordPlusPOTENTIAL IMPACT-
dc.subject.keywordPlusIMPROVE-
dc.subject.keywordPlusNATURALIZATION-
dc.subject.keywordPlusDISTRIBUTIONS-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusECOSYSTEMS-
dc.subject.keywordPlusPREDICTION-
dc.subject.keywordPlusACCURACY-
dc.subject.keywordAuthorclimate change-
dc.subject.keywordAuthorintentionally introduced alien plants-
dc.subject.keywordAuthorinvasion risk-
dc.subject.keywordAuthorland cover change-
dc.subject.keywordAuthorprovince-
dc.subject.keywordAuthorspatial distribution-
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