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

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

A conceptual map of invasion biology: Integrating hypotheses into a consensus network. / Enders, Martin; Havemann, Frank; Ruland, Florian et al.
In: Global Ecology and Biogeography, Vol. 29, No. 6, 01.06.2020, p. 978-991.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Enders, M, Havemann, F, Ruland, F, Bernard-Verdier, M, Catford, JA, Gómez-Aparicio, L, Haider, S, Heger, T, Kueffer, C, Kühn, I, Meyerson, LA, Musseau, C, Novoa, A, Ricciardi, A, Sagouis, A, Schittko, C, Strayer, DL, Vilà, M, Essl, F, Hulme, PE, van Kleunen, M, Kumschick, S, Lockwood, JL, Mabey, AL, McGeoch, MA, Palma, E, Pyšek, P, Saul, WC, Yannelli, FA & Jeschke, JM 2020, 'A conceptual map of invasion biology: Integrating hypotheses into a consensus network', Global Ecology and Biogeography, vol. 29, no. 6, pp. 978-991. https://doi.org/10.1111/geb.13082

APA

Enders, 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., ... Jeschke, J. M. (2020). A conceptual map of invasion biology: Integrating hypotheses into a consensus network. Global Ecology and Biogeography, 29(6), 978-991. https://doi.org/10.1111/geb.13082

Vancouver

Enders M, Havemann F, Ruland F, Bernard-Verdier M, Catford JA, Gómez-Aparicio L et al. A conceptual map of invasion biology: Integrating hypotheses into a consensus network. Global Ecology and Biogeography. 2020 Jun 1;29(6):978-991. doi: 10.1111/geb.13082

Bibtex

@article{f3af952f942e41f1acaad820f6329148,
title = "A conceptual map of invasion biology: Integrating hypotheses into a consensus network",
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{\textquoteright}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{\textquoteright}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{\textquoteright}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.",
keywords = "Biology, biological invasions, concepts, consensus map, Delphi method, Invasion science, invasion theory, navigation tools, network analysis",
author = "Martin Enders and Frank Havemann and Florian Ruland and Maud Bernard-Verdier and Catford, {Jane A.} and Lorena G{\'o}mez-Aparicio and Sylvia Haider and Tina Heger and Christoph Kueffer and Ingolf K{\"u}hn and Meyerson, {Laura A.} and Camille Musseau and Ana Novoa and Anthony Ricciardi and Alban Sagouis and Conrad Schittko and Strayer, {David L.} and Montserrat Vil{\`a} and Franz Essl and Hulme, {Philip E.} and {van Kleunen}, Mark and Sabrina Kumschick and Lockwood, {Julie L.} and Mabey, {Abigail L.} and McGeoch, {Melodie A.} and Est{\'i}baliz Palma and Petr Py{\v s}ek and Saul, {Wolf Christian} and Yannelli, {Florencia A.} and Jeschke, {Jonathan M.}",
note = "Publisher Copyright: {\textcopyright} 2020 The Authors. Global Ecology and Biogeography published by John Wiley & Sons Ltd",
year = "2020",
month = jun,
day = "1",
doi = "10.1111/geb.13082",
language = "English",
volume = "29",
pages = "978--991",
journal = "Global Ecology and Biogeography",
issn = "1466-822X",
publisher = "Wiley-Blackwell Publishing Ltd.",
number = "6",

}

RIS

TY - JOUR

T1 - A conceptual map of invasion biology: Integrating hypotheses into a consensus network

AU - Enders, Martin

AU - Havemann, Frank

AU - Ruland, Florian

AU - Bernard-Verdier, Maud

AU - Catford, Jane A.

AU - Gómez-Aparicio, Lorena

AU - Haider, Sylvia

AU - Heger, Tina

AU - Kueffer, Christoph

AU - Kühn, Ingolf

AU - Meyerson, Laura A.

AU - Musseau, Camille

AU - Novoa, Ana

AU - Ricciardi, Anthony

AU - Sagouis, Alban

AU - Schittko, Conrad

AU - Strayer, David L.

AU - Vilà, Montserrat

AU - Essl, Franz

AU - Hulme, Philip E.

AU - van Kleunen, Mark

AU - Kumschick, Sabrina

AU - Lockwood, Julie L.

AU - Mabey, Abigail L.

AU - McGeoch, Melodie A.

AU - Palma, Estíbaliz

AU - Pyšek, Petr

AU - Saul, Wolf Christian

AU - Yannelli, Florencia A.

AU - Jeschke, Jonathan M.

N1 - Publisher Copyright: © 2020 The Authors. Global Ecology and Biogeography published by John Wiley & Sons Ltd

PY - 2020/6/1

Y1 - 2020/6/1

N2 - 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.

AB - 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.

KW - Biology

KW - biological invasions

KW - concepts

KW - consensus map

KW - Delphi method

KW - Invasion science

KW - invasion theory

KW - navigation tools

KW - network analysis

UR - http://www.scopus.com/inward/record.url?scp=85082806784&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/2a9fc564-e4f6-31cf-9e6c-36f16ada8ac5/

U2 - 10.1111/geb.13082

DO - 10.1111/geb.13082

M3 - Journal articles

C2 - 34938151

AN - SCOPUS:85082806784

VL - 29

SP - 978

EP - 991

JO - Global Ecology and Biogeography

JF - Global Ecology and Biogeography

SN - 1466-822X

IS - 6

ER -

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