A conceptual map of invasion biology: integrating hypotheses into a consensus network

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dc.contributor.authorEnders, M.
dc.contributor.authorHavemann, F.
dc.contributor.authorRuland, F.
dc.contributor.authorBernard-Verdier, M.
dc.contributor.authorCatford, J.A.
dc.contributor.authorGómez-Aparicio, L.
dc.contributor.authorHaider, S.
dc.contributor.authorHeger, T.
dc.contributor.authorKueffer, C.
dc.contributor.authorKühn, I.
dc.contributor.authorMeyerson, L.A.
dc.contributor.authorMusseau, C.
dc.contributor.authorNovoa, A.
dc.contributor.authorRicciardi, A.
dc.contributor.authorSagouis, A.
dc.contributor.authorSchittko, C.
dc.contributor.authorStrayer, D.L.
dc.contributor.authorVilà, M.
dc.contributor.authorEssl, F.
dc.contributor.authorHulme, P.E.
dc.contributor.authorvan Kleunen, M.
dc.contributor.authorKumschick, S.
dc.contributor.authorLockwood, J.L.
dc.contributor.authorMabey, A.L.
dc.contributor.authorMcGeoch, M.A.
dc.contributor.authorPalma, E.
dc.contributor.authorPyšek, P.
dc.contributor.authorSaul, W.-C.
dc.contributor.authorYannelli, F.A.
dc.contributor.authorJeschke, J.M.
dc.date.accessioned2021-02-04T09:49:48Z
dc.date.accessioned2021-08-26T20:13:23Z
dc.date.available2021-02-04T09:49:48Z
dc.date.available2021-08-26T20:13:23Z
dc.date.issued2020
dc.description.abstractBackground and aims: Since its emergence in the mid-20th century, invasion biol-ogy has matured into a productive research field addressing questions of fundamen-tal 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 struc-ture, 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 re-vealed 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 connec-tions 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, prac-titioners 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_ZA
dc.identifier.citationEnders, M., Havemann, F., Ruland, F., Bernard-Verdier, M., Catford, J.A., Gómez-Aparicio, L., Haider, S., Heger, T., Kueffer, C., Kühn, I., Meyerson, L.A., Musseau, C., Novoa, A., Ricciardi, A., Sagouis, A., Schittko, C., Strayer, D.L., Vilà, M., Essl, F., Hulme, P.E., van Kleunen, M., Kumschick, K., Lockwood, J.L., Mabey, A.L., McGeoch, M.A., Palma, E., Pyšek, P., Saul, W.-C., Yannelli, F.A. and Jeschke, J.M. (2020). A conceptual map of invasion biology: integrating hypotheses into a consensus network. Global Ecology and Biogeography 29, 978-991. DOI: 10.1111/geb.13082.en_ZA
dc.identifier.urihttp://hdl.handle.net/10019.1/117599
dc.language.isoenen_ZA
dc.subjectbiological invasionsen_ZA
dc.subjectconceptsen_ZA
dc.subjectconsensus mapen_ZA
dc.subjectDelphi methoden_ZA
dc.subjectinvasion scienceen_ZA
dc.subjectinvasion theoryen_ZA
dc.subjectnavigation toolsen_ZA
dc.subjectnetwork analysisen_ZA
dc.titleA conceptual map of invasion biology: integrating hypotheses into a consensus networken_ZA
dc.typeArticleen_ZA
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