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Hypotheses in urban ecology: building a common knowledge base.

Authors :
Lokatis S
Jeschke JM
Bernard-Verdier M
Buchholz S
Grossart HP
Havemann F
Hölker F
Itescu Y
Kowarik I
Kramer-Schadt S
Mietchen D
Musseau CL
Planillo A
Schittko C
Straka TM
Heger T
Source :
Biological reviews of the Cambridge Philosophical Society [Biol Rev Camb Philos Soc] 2023 Oct; Vol. 98 (5), pp. 1530-1547. Date of Electronic Publication: 2023 Apr 18.
Publication Year :
2023

Abstract

Urban ecology is a rapidly growing research field that has to keep pace with the pressing need to tackle the sustainability crisis. As an inherently multi-disciplinary field with close ties to practitioners and administrators, research synthesis and knowledge transfer between those different stakeholders is crucial. Knowledge maps can enhance knowledge transfer and provide orientation to researchers as well as practitioners. A promising option for developing such knowledge maps is to create hypothesis networks, which structure existing hypotheses and aggregate them according to topics and research aims. Combining expert knowledge with information from the literature, we here identify 62 research hypotheses used in urban ecology and link them in such a network. Our network clusters hypotheses into four distinct themes: (i) Urban species traits & evolution, (ii) Urban biotic communities, (iii) Urban habitats and (iv) Urban ecosystems. We discuss the potentials and limitations of this approach. All information is openly provided as part of an extendable Wikidata project, and we invite researchers, practitioners and others interested in urban ecology to contribute additional hypotheses, as well as comment and add to the existing ones. The hypothesis network and Wikidata project form a first step towards a knowledge base for urban ecology, which can be expanded and curated to benefit both practitioners and researchers.<br /> (© 2023 The Authors. Biological Reviews published by John Wiley & Sons Ltd on behalf of Cambridge Philosophical Society.)

Subjects

Subjects :
Biota
Phenotype
Ecosystem
Ecology

Details

Language :
English
ISSN :
1469-185X
Volume :
98
Issue :
5
Database :
MEDLINE
Journal :
Biological reviews of the Cambridge Philosophical Society
Publication Type :
Academic Journal
Accession number :
37072921
Full Text :
https://doi.org/10.1111/brv.12964