Download
Enders_2018_j_Ecosph.pdf 2,10MB
WeightNameValue
1000 Titel
  • Drawing a map of invasion biology based on a network of hypotheses
1000 Autor/in
  1. Enders, Martin |
  2. Hütt, Marc-Thorsten |
  3. Jeschke, Jonathan |
1000 Erscheinungsjahr 2018
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-03-25
1000 Erschienen in
1000 Quellenangabe
  • 9(3):e02146
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1002/ecs2.2146 |
1000 Ergänzendes Material
  • https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecs2.2146#support-information-section |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Invasion biology is a thriving ecological research field, and confusingly many hypotheses, concepts, and ideas about biological invasions populate today's literature. Moreover, some of these hypotheses are very similar, whereas others contradict each other. It is not clear whether in such a situation a plausible global relational structure—or map—of these hypotheses emerges in the minds of the involved researchers and, if so, how this map can be reliably reconstructed from the expertise of individuals. Here, we report results of an online survey with 357 experts on invasion biology and several reconstructions of such a map. Using the distance information between hypotheses provided in the survey, the resulting network is essentially random. This finding implies that invasion biologists currently do not have a joint vision how invasion hypotheses are related to each other. However, the pattern of pairwise familiarities between the hypotheses in the survey yields joint‐mentions networks with highly non‐random features. These networks allow us to assign conceptual roles to many of the hypotheses in the field on purely topological grounds. Such hypothesis networks can help everyone interested in research fields to understand their conceptual structure. They can serve as maps of research fields.
1000 Sacherschließung
lokal invasive alien species
lokal concepts
lokal hypothesis network
lokal defining invasion hypotheses
lokal biological invasions
1000 Fachgruppe
  1. Biologie |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. http://orcid.org/0000-0002-0681-852X|http://d-nb.info/gnd/123070023|http://orcid.org/0000-0003-3328-4217
1000 Label
1000 Förderer
  1. Foundation of German Business (sdw)
  2. Deutsche Forschungsgemeinschaft (DFG)
1000 Fördernummer
  1. -
  2. JE 288/9‐1; JE 288/9‐2
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
  1. Enders_2018_j_Ecosph.pdf
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6407730.rdf
1000 Erstellt am 2018-04-18T12:16:51.325+0200
1000 Erstellt von 251
1000 beschreibt frl:6407730
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet 2020-01-31T00:06:40.051+0100
1000 Objekt bearb. Wed Feb 27 12:32:41 CET 2019
1000 Vgl. frl:6407730
1000 Oai Id
  1. oai:frl.publisso.de:frl:6407730 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source