A conceptual map of invasion biology: Integrating hypotheses into a consensus network.
Delphi method
biological invasions
concepts
consensus map
invasion science
invasion theory
navigation tools
network analysis
Journal
Global ecology and biogeography : a journal of macroecology
ISSN: 1466-822X
Titre abrégé: Glob Ecol Biogeogr
Pays: England
ID NLM: 100895787
Informations de publication
Date de publication:
Jun 2020
Jun 2020
Historique:
received:
28
10
2019
revised:
24
01
2020
accepted:
31
01
2020
entrez:
23
12
2021
pubmed:
1
6
2020
medline:
1
6
2020
Statut:
ppublish
Résumé
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. The resulting network was analysed with a link-clustering algorithm that revealed five The network visually synthesizes how invasion biology's predominant hypotheses are conceptually related to each other, and thus, reveals an emergent structure - a
Sections du résumé
BACKGROUND AND AIMS
OBJECTIVE
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
RESULTS
The resulting network was analysed with a link-clustering algorithm that revealed five
SIGNIFICANCE
CONCLUSIONS
The network visually synthesizes how invasion biology's predominant hypotheses are conceptually related to each other, and thus, reveals an emergent structure - a
Identifiants
pubmed: 34938151
doi: 10.1111/geb.13082
pii: GEB13082
pmc: PMC8647925
doi:
Types de publication
Journal Article
Langues
eng
Pagination
978-991Informations de copyright
© 2020 The Authors. Global Ecology and Biogeography published by John Wiley & Sons Ltd.
Références
Nature. 2010 Aug 5;466(7307):761-4
pubmed: 20562860
Am Nat. 2010 Jun;175(6):E149-52
pubmed: 20388005
Ecol Lett. 2011 Apr;14(4):407-18
pubmed: 21513009
Sci Adv. 2018 Jan 03;4(1):e1701130
pubmed: 29308433
Nature. 2002 Jun 6;417(6889):608-9
pubmed: 12050652
Ecol Evol. 2017 Aug 17;7(19):7609-7619
pubmed: 29043018
Phytochem Rev. 2011 Mar;10(1):99-106
pubmed: 21475397
Br Foreign Med Chir Rev. 1860 Apr;25(50):367-404
pubmed: 30164232
Ecol Lett. 2006 Aug;9(8):981-93
pubmed: 16913942
Nature. 2004 Feb 19;427(6976):731-3
pubmed: 14973484
Glob Ecol Biogeogr. 2020 Jun;29(6):978-991
pubmed: 34938151
Ecol Lett. 2015 Oct;18(10):1099-107
pubmed: 26293900
Science. 2000 Mar 10;287(5459):1770-4
pubmed: 10710299
Bioscience. 2019 Nov 1;69(11):888-899
pubmed: 31719711
Am Nat. 2001 Sep;158(3):324-30
pubmed: 18707328
Biol Rev Camb Philos Soc. 2000 Feb;75(1):65-93
pubmed: 10740893
Ecol Lett. 2007 Jan;10(1):77-94
pubmed: 17204119
Trends Ecol Evol. 2005 May;20(5):223-8
pubmed: 16701373
Front Zool. 2005 Oct 20;2:16
pubmed: 16242022
Theor Popul Biol. 1970 May;1(1):1-11
pubmed: 5527624
J Stat Softw. 2008;24(1):1548-7660
pubmed: 18618019
Trends Ecol Evol. 2011 Jul;26(7):333-9
pubmed: 21601306
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Jul;80(1 Pt 2):016105
pubmed: 19658772
Ecol Lett. 2006 Jun;9(6):726-40
pubmed: 16706916
Ambio. 2017 May;46(4):428-442
pubmed: 28150137
Nat Commun. 2018 Nov 6;9(1):4631
pubmed: 30401825
Ecol Lett. 2006 Jul;9(7):887-95
pubmed: 16796578
Science. 2017 Nov 10;358(6364):724-725
pubmed: 29123053
Ann Bot. 2012 Jan;109(1):19-45
pubmed: 22040744
Proc Biol Sci. 2001 Nov 22;268(1483):2383-9
pubmed: 11703879
Scientometrics. 2011 Aug;88(2):675-677
pubmed: 21836764
Ecol Lett. 2010 Feb;13(2):235-45
pubmed: 20002494