A conceptual map of invasion biology: Integrating hypotheses into a consensus network
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In: Global Ecology and Biogeography, Vol. 29, No. 6, 01.06.2020, p. 978-991.
Research output: Journal contributions › Journal articles › Research › peer-review
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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 -