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Hypotheses in urban ecology: building a common knowledge base
Sophie Lokatis1,2,3,4, Jonathan M Jeschke1,2,3, Maud Bernard-Verdier1,2,3
1Institute of Biology, Freie Universität Berlin, Königin-Luise-Str. 1-3, Berlin, 14195, Germany.
Biological Reviews of the Cambridge Philosophical Society
|April 19, 2023
Summary
Urban ecology research is synthesized into a hypothesis network, organizing 62 hypotheses into four themes. This network aims to improve knowledge transfer for researchers and practitioners addressing urban sustainability.
Area of Science:
- Urban Ecology
- Sustainability Science
- Environmental Science
Background:
- Urban ecology is a rapidly expanding field crucial for addressing the sustainability crisis.
- Effective knowledge transfer between multi-disciplinary researchers, practitioners, and administrators is vital.
- Knowledge maps, such as hypothesis networks, can facilitate this transfer and provide orientation.
Purpose of the Study:
- To create a structured knowledge map of urban ecology research.
- To identify and network existing research hypotheses in urban ecology.
- To foster collaboration and knowledge sharing among diverse stakeholders.
Main Methods:
- Combined expert knowledge with literature review to identify hypotheses.
- Developed a hypothesis network to cluster and link 62 identified hypotheses.
- Organized hypotheses into four distinct themes: species traits & evolution, biotic communities, habitats, and ecosystems.
Main Results:
- Identified and networked 62 research hypotheses in urban ecology.
- Clustered hypotheses into four key themes: Urban species traits & evolution, Urban biotic communities, Urban habitats, and Urban ecosystems.
- Established an openly accessible Wikidata project for ongoing contributions.
Conclusions:
- Hypothesis networks offer a promising approach for knowledge synthesis in urban ecology.
- The developed network and Wikidata project serve as a foundational knowledge base.
- Encourages continued community input to expand and refine the urban ecology knowledge base.
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