2022
Scheuer, Sebastian; Jache, Jessica; Kičić, Martina; Wellmann, Thilo; Wolff, Manuel; Haase, Dagmar
A trait-based typification of urban forests as nature-based solutions Journal Article
In: Urban Forestry & Urban Greening, vol. 78, pp. 127780, 2022, ISSN: 1618-8667.
Abstract | Links | BibTeX | Tags: Nature-based solution, Ontology, Semantics, Trait-based modelling, Typology, Urban forest
@article{SCHEUER2022127780,
title = {A trait-based typification of urban forests as nature-based solutions},
author = {Sebastian Scheuer and Jessica Jache and Martina Kičić and Thilo Wellmann and Manuel Wolff and Dagmar Haase},
url = {https://www.sciencedirect.com/science/article/pii/S1618866722003235},
doi = {https://doi.org/10.1016/j.ufug.2022.127780},
issn = {1618-8667},
year = {2022},
date = {2022-01-01},
journal = {Urban Forestry & Urban Greening},
volume = {78},
pages = {127780},
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.},
keywords = {Nature-based solution, Ontology, Semantics, Trait-based modelling, Typology, Urban forest},
pubstate = {published},
tppubtype = {article}
}
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.