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.
2021
Scheuer, Sebastian; Jache, Jessica; Wellmann, Thilo; Wolff, Manuel; Haase, Dagmar
Outlining a semantics-based Sino- European UF-NBS typology Technical Report
2021.
Abstract | Links | BibTeX | Tags: Nature-based solutions, Semantics, Typology, Urban forest, Urban green infrastructure, Web application, Web Ontology Language
@techreport{Thilo_Wellmann_107218460,
title = {Outlining a semantics-based Sino- European UF-NBS typology},
author = {Sebastian Scheuer and Jessica Jache and Thilo Wellmann and Manuel Wolff and Dagmar Haase},
url = {https://clearinghouseproject.eu/wp-content/uploads/2021/11/D1_1_Report_on_a_novel_standardised_Sino__European_UFBS_typology_V1.pdf},
year = {2021},
date = {2021-03-31},
urldate = {2021-01-01},
journal = {H2020 project CLEARING HOUSE},
abstract = {This deliverable outlines the CLEARING HOUSE typology of urban forests as nature-based solutions (UF-NBS). The typology thus conceptualizes entities relevant to UF-NBS. To do so, elements of greenblue infrastructure (GBI) are defined in the typology. Contrary to purely textual representations of knowledge, CLEARING HOUSE proposes a definition of GBI elements through traits, i.e., characteristic and defining morphological, physical, functional, and institutional attributes, including for example the composition, spatial grouping, and topology of UF-NBS elements, and the ecosystem services and benefits provided them. CLEARING HOUSE proposes a semantic approach to express this knowledge, i.e., a formalization of knowledge as an ontology using the Web Ontology Language. Such ontologies are machineinterpretable series of statements
of facts to define a taxonomy (a vocabulary). The definitions of GBI elements are embedded within a formalization of overarching concepts, particularly, of urban forest, nature-based solutions (NBS), and of UF-NBS. Here, urban forest is conceptually understood as the entirety of trees within an urban-ecological system. NBS are perceived in CLEARING HOUSE as an overarching concept that embraces natural and semi-natural elements of the GBI such as forests, engineered solutions such as permeable pavements, as well as actions inspired by nature. UF-NBS are then conceptualized as the intersection of the two previous entities, i.e., as the intersection of urban forest and NBS, and thus include any tree-related NBS. The proposed typology will provide the grounding knowledge of the comparative case study analysis to be conducted by CLEARING HOUSE, and will serve as a basis for the development of the CLEARING HOUSE benchmarking tool.},
howpublished = {Clearing House Research and Innovation Action (RIA) This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 821242},
keywords = {Nature-based solutions, Semantics, Typology, Urban forest, Urban green infrastructure, Web application, Web Ontology Language},
pubstate = {published},
tppubtype = {techreport}
}
This deliverable outlines the CLEARING HOUSE typology of urban forests as nature-based solutions (UF-NBS). The typology thus conceptualizes entities relevant to UF-NBS. To do so, elements of greenblue infrastructure (GBI) are defined in the typology. Contrary to purely textual representations of knowledge, CLEARING HOUSE proposes a definition of GBI elements through traits, i.e., characteristic and defining morphological, physical, functional, and institutional attributes, including for example the composition, spatial grouping, and topology of UF-NBS elements, and the ecosystem services and benefits provided them. CLEARING HOUSE proposes a semantic approach to express this knowledge, i.e., a formalization of knowledge as an ontology using the Web Ontology Language. Such ontologies are machineinterpretable series of statements
of facts to define a taxonomy (a vocabulary). The definitions of GBI elements are embedded within a formalization of overarching concepts, particularly, of urban forest, nature-based solutions (NBS), and of UF-NBS. Here, urban forest is conceptually understood as the entirety of trees within an urban-ecological system. NBS are perceived in CLEARING HOUSE as an overarching concept that embraces natural and semi-natural elements of the GBI such as forests, engineered solutions such as permeable pavements, as well as actions inspired by nature. UF-NBS are then conceptualized as the intersection of the two previous entities, i.e., as the intersection of urban forest and NBS, and thus include any tree-related NBS. The proposed typology will provide the grounding knowledge of the comparative case study analysis to be conducted by CLEARING HOUSE, and will serve as a basis for the development of the CLEARING HOUSE benchmarking tool.
of facts to define a taxonomy (a vocabulary). The definitions of GBI elements are embedded within a formalization of overarching concepts, particularly, of urban forest, nature-based solutions (NBS), and of UF-NBS. Here, urban forest is conceptually understood as the entirety of trees within an urban-ecological system. NBS are perceived in CLEARING HOUSE as an overarching concept that embraces natural and semi-natural elements of the GBI such as forests, engineered solutions such as permeable pavements, as well as actions inspired by nature. UF-NBS are then conceptualized as the intersection of the two previous entities, i.e., as the intersection of urban forest and NBS, and thus include any tree-related NBS. The proposed typology will provide the grounding knowledge of the comparative case study analysis to be conducted by CLEARING HOUSE, and will serve as a basis for the development of the CLEARING HOUSE benchmarking tool.