dc.contributor.author
Enders, Martin
dc.contributor.author
Ruland, Florian
dc.contributor.author
Bernard-Verdier, Maud
dc.contributor.author
Musseau, Camille
dc.contributor.author
Sagouis, Alban
dc.contributor.author
Jeschke, Jonathan M.
dc.contributor.author
Havemann, Frank
dc.contributor.author
Catford, Jane A.
dc.contributor.author
Gómez-Aparicio, Lorena
dc.contributor.author
Haider, Sylvia
dc.date.accessioned
2020-05-14T12:38:14Z
dc.date.available
2020-05-14T12:38:14Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/27507
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-27263
dc.description.abstract
Background and aims
Since its emergence in the mid‐20th century, invasion biology has matured into a productive research field addressing questions of fundamental and applied importance. Not only has the number of empirical studies increased through time, but also has the number of competing, overlapping and, in some cases, contradictory hypotheses about biological invasions. To make these contradictions and redundancies explicit, and to gain insight into the field’s current theoretical structure, we developed and applied a Delphi approach to create a consensus network of 39 existing invasion hypotheses.
Results
The resulting network was analysed with a link‐clustering algorithm that revealed five concept clusters (resource availability, biotic interaction, propagule, trait and Darwin’s clusters) representing complementary areas in the theory of invasion biology. The network also displays hypotheses that link two or more clusters, called connecting hypotheses, which are important in determining network structure. The network indicates hypotheses that are logically linked either positively (77 connections of support) or negatively (that is, they contradict each other; 6 connections).
Significance
The network visually synthesizes how invasion biology’s predominant hypotheses are conceptually related to each other, and thus, reveals an emergent structure – a conceptual map – that can serve as a navigation tool for scholars, practitioners and students, both inside and outside of the field of invasion biology, and guide the development of a more coherent foundation of theory. Additionally, the outlined approach can be more widely applied to create a conceptual map for the larger fields of ecology and biogeography.
en
dc.format.extent
14 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
biological invasions
en
dc.subject
consensus map
en
dc.subject
Delphi method
en
dc.subject
invasion science
en
dc.subject
invasion theory
en
dc.subject
navigation tools
en
dc.subject
network analysis
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
A conceptual map of invasion biology: Integrating hypotheses into a consensus network
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1111/geb.13082
dcterms.bibliographicCitation.journaltitle
Global ecology and biogeography
dcterms.bibliographicCitation.number
6
dcterms.bibliographicCitation.pagestart
978
dcterms.bibliographicCitation.pageend
991
dcterms.bibliographicCitation.volume
29
dcterms.bibliographicCitation.url
https://doi.org/10.1111/geb.13082
refubium.affiliation
Biologie, Chemie, Pharmazie
refubium.affiliation.other
Institut für Biologie
refubium.funding
DEAL Wiley
refubium.note.author
Die Publikation wurde von der Freien Universität Berlin finanziert.
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1466-8238