Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1016/j.ufug.2022.127780
Licence creative commons licence
Title (Primary) A trait-based typification of urban forests as nature-based solutions
Author Scheuer, S.; Jache, J.; Kičić, M.; Wellmann, T.; Wolff, M.; Haase, D.
Source Titel Urban Forestry & Urban Greening
Year 2022
Department CLE; SUSOZ
Volume 78
Page From art. 127780
Language englisch
Topic T5 Future Landscapes
Keywords Urban forest; Nature-based solution; Typology; Trait-based modelling; Semantics; Ontology
Abstract Urban forests as nature-based solutions (UF-NBS) are important tools for climate change adaptation and sustainable development. However, achieving both effective and sustainable UF-NBS solutions requires diverse knowledge. This includes knowledge on UF-NBS implementation, on the assessment of their environmental impacts in diverse spatial contexts, and on their management for the long-term safeguarding of delivered benefits. A successful integration of such bodies of knowledge demands a systematic understanding of UF-NBS. To achieve such an understanding, this paper presents a conceptual UF-NBS model obtained through a semantic, trait-based modelling approach. This conceptual model is subsequently implemented as an extendible, re-usable and interoperable ontology. In so doing, a formal, trait-based vocabulary on UF-NBS is created, that allows expressing spatial, morphological, physical, functional, and institutional UF-NBS properties for their typification and a subsequent integration of further knowledge and data. Thereby, ways forward are opened for a more systematic UF-NBS impact assessment, management, and decision-making.
Persistent UFZ Identifier
Scheuer, S., Jache, J., Kičić, M., Wellmann, T., Wolff, M., Haase, D. (2022):
A trait-based typification of urban forests as nature-based solutions
Urban For. Urban Green. 78 , art. 127780 10.1016/j.ufug.2022.127780