Major drivers of invasion risks throughout the world.
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| Title: | Major drivers of invasion risks throughout the world. |
|---|---|
| Authors: | Bellard, C.1, Leroy, B.1,2,3, Thuiller, W.4,5, Rysman, J.‐F.6,7, Courchamp, F.1, Collins, Scott |
| Source: | Ecosphere. Mar2016, Vol. 7 Issue 3, pn/a-N.PAG. 14p. |
| Subject Terms: | *Introduced species, *Biological invasions, *Population biology, *Habitats, Natural selection |
| Abstract: | In this paper, we investigate how climate, land use, habitat characteristics, and socioeconomic activities contribute to predict the current potential distributions of the “100 among the world's worst invasive alien species”. We calculated the predictive power of each of the 41 variables for the 95 species including a large number of plants, vertebrates and invertebrates. We then calibrated the species distribution models with a set of appropriate variables for each invasive alien species to predict the potential distribution of these species and identify the major regions of origin of the invasive alien species. We found that climate variables were primarily predictors of the distribution of the global invaders studied. In addition, the habitat characteristics were also important predictors following by the socioeconomic variables such as the nearest distance to airports, seaports and human population density. We show that the potential areas at the highest risk of invasions from these species are located in Western Europe, Eastern United States, Central America, the eastern coast of Australia, and some Indonesian islands. We argue that these potential hotspots of invasions should be monitored in priority to prevent new invasions from these species. This study provides evidence of the importance of considering both habitat characteristics, socioeconomic and climate change factors for the current and future predictions of biological invasions. [ABSTRACT FROM AUTHOR] |
| Copyright of Ecosphere is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 114683099 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Major drivers of invasion risks throughout the world. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bellard%2C+C%2E%22">Bellard, C.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Leroy%2C+B%2E%22">Leroy, B.</searchLink><relatesTo>1,2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Thuiller%2C+W%2E%22">Thuiller, W.</searchLink><relatesTo>4,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Rysman%2C+J%2E‐F%2E%22">Rysman, J.‐F.</searchLink><relatesTo>6,7</relatesTo><br /><searchLink fieldCode="AR" term="%22Courchamp%2C+F%2E%22">Courchamp, F.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Collins%2C+Scott%22">Collins, Scott</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Ecosphere%22">Ecosphere</searchLink>. Mar2016, Vol. 7 Issue 3, pn/a-N.PAG. 14p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Introduced+species%22">Introduced species</searchLink><br />*<searchLink fieldCode="DE" term="%22Biological+invasions%22">Biological invasions</searchLink><br />*<searchLink fieldCode="DE" term="%22Population+biology%22">Population biology</searchLink><br />*<searchLink fieldCode="DE" term="%22Habitats%22">Habitats</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+selection%22">Natural selection</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper, we investigate how climate, land use, habitat characteristics, and socioeconomic activities contribute to predict the current potential distributions of the “100 among the world's worst invasive alien species”. We calculated the predictive power of each of the 41 variables for the 95 species including a large number of plants, vertebrates and invertebrates. We then calibrated the species distribution models with a set of appropriate variables for each invasive alien species to predict the potential distribution of these species and identify the major regions of origin of the invasive alien species. We found that climate variables were primarily predictors of the distribution of the global invaders studied. In addition, the habitat characteristics were also important predictors following by the socioeconomic variables such as the nearest distance to airports, seaports and human population density. We show that the potential areas at the highest risk of invasions from these species are located in Western Europe, Eastern United States, Central America, the eastern coast of Australia, and some Indonesian islands. We argue that these potential hotspots of invasions should be monitored in priority to prevent new invasions from these species. This study provides evidence of the importance of considering both habitat characteristics, socioeconomic and climate change factors for the current and future predictions of biological invasions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Ecosphere is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=114683099 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/ecs2.1241 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: n/a Subjects: – SubjectFull: Introduced species Type: general – SubjectFull: Biological invasions Type: general – SubjectFull: Population biology Type: general – SubjectFull: Habitats Type: general – SubjectFull: Natural selection Type: general Titles: – TitleFull: Major drivers of invasion risks throughout the world. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bellard, C. – PersonEntity: Name: NameFull: Leroy, B. – PersonEntity: Name: NameFull: Thuiller, W. – PersonEntity: Name: NameFull: Rysman, J.‐F. – PersonEntity: Name: NameFull: Courchamp, F. – PersonEntity: Name: NameFull: Collins, Scott IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 21508925 Numbering: – Type: volume Value: 7 – Type: issue Value: 3 Titles: – TitleFull: Ecosphere Type: main |
| ResultId | 1 |