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2022-03-03Zeitschriftenartikel DOI: 10.18452/24755
Socio-Ecological Effects on the Patterns of Non-native Plant Distributions on Hainan Island
dc.contributor.authorGuo, Lin-Yuan
dc.contributor.authorNizamani, Mir Muhammad
dc.contributor.authorHarris, AJ
dc.contributor.authorLin, Qin-Wen
dc.contributor.authorBalfour, Kelly
dc.contributor.authorDa, Liang-Jun
dc.contributor.authorQureshi, Salman
dc.contributor.authorWang, Hua Feng
dc.date.accessioned2022-06-09T14:34:47Z
dc.date.available2022-06-09T14:34:47Z
dc.date.issued2022-03-03none
dc.date.updated2022-03-25T08:11:03Z
dc.identifier.urihttp://edoc.hu-berlin.de/18452/25430
dc.description.abstractNon-native plants spread to recipient areas via natural or human-mediated modes of dispersal, and, if the non-native species are invasive, introduction potentially causes impacts on native plants and local ecosystems as well as economic losses. Therefore, we studied the diversity and distributional patterns of non-native plant species diversity in the tropical island province of Hainan, China and its relationships with environmental and socioeconomic factors by generating a checklist of species and subsequently performing an analysis of phylogenetic diversity. To generate the checklist, we began with the available, relevant literature representing 19 administrative units of Hainan and determined the casual, naturalized, or invasive status of each species by conducting field surveys within 14 administrative units. We found that non-native plants of Hainan comprise 77 casual species, 42 naturalized species, and 63 invasive species. Moreover, we found that non-native plant species had diverse origins from North and South America, Africa, and Asia and that the most common species across administrative areas belong to the plant families Asteraceae and Fabaceae. Moreover, the numbers of non-native species distributed in the areas of Hainan bording the coast arer greater than those within interior areas of the province. Among the coastal areas, Haikou has the highest species richness and, simultaneously, the highest values for significantly, positively correlated predictor variables, population and GDP (R2 = 0.60, P < 0.01; R2 = 0.64, P < 0.01, respectively). In contrast, the landlocked administrative units of Tunchang and Ding’an have the smallest number of non-native species, while their populations are less than a quarter of that of Haikou and their GDP less than one tenth. Among natural environmental variables, we determined that the number of non-native species had the strongest correlation with the minimum temperature in the coldest month, which predicts a smaller number of non-native species. Additionally, non-native species are primarily distributed in urban and rural built-up areas and agricultural areas; areas that are dominated by human activities. Overall, our study provides a working checklist of the non-native plants of Hainan as well as a theoretical framework and reference for the control of invasive plants of the province.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectbiodiversityeng
dc.subjectinvasive plantseng
dc.subjectspecies richnesseng
dc.subjectbiogeographyeng
dc.subjecturban green spaceeng
dc.subjectphylogenetic diversityeng
dc.subjectflora of Hainaneng
dc.subject.ddc333.7 Landflächen, Naturräume für Freizeit und Erholung, Naturreservate, Energienone
dc.titleSocio-Ecological Effects on the Patterns of Non-native Plant Distributions on Hainan Islandnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/25430-7
dc.identifier.doihttp://dx.doi.org/10.18452/24755
dc.type.versionpublishedVersionnone
local.edoc.pages18none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn2296-701X
dcterms.bibliographicCitation.doi10.3389/fevo.2022.838591none
dcterms.bibliographicCitation.journaltitleFrontiers in Ecology and Evolutionnone
dcterms.bibliographicCitation.volume10none
dcterms.bibliographicCitation.articlenumber838591none
dcterms.bibliographicCitation.originalpublishernameFrontiers Medianone
dcterms.bibliographicCitation.originalpublisherplaceLausannenone
bua.departmentMathematisch-Naturwissenschaftliche Fakultätnone

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