Major drivers of invasion risks throughout the world.

Saved in:
Bibliographic Details
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
Header DbId: 8gh
DbLabel: GreenFILE
An: 114683099
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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