打印

作者

Sebastian Scheuer;Jessica Jache;Martina Kičić;Thilo Wellmann;Manuel Wolff;Dagmar Haase

来源

URBAN FORESTRY & URBAN GREENING,Vol.78,Issue1,Article 127780

语言

英文

关键字

Urban forest;Nature-based solution;Typology;Trait-based modelling;Semantics;Ontology

作者单位

Geography Department, Landscape Ecology Lab, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany;Croatian Forest Research Institute, Division for International Scientific Cooperation in Southeast Europe, Cvjetno naselje 41, 10450 Jastrebarsko, Croatia;UFZ – Helmholtz Centre for Environmental Research, Department of Computational Landscape Ecology, Permoserstr. 15, 04318 Leipzig, Germany;UFZ – Helmholtz Centre for Environmental Research, Department of Urban and Environmental Sociology, Permoserstr. 15, 04318 Leipzig, Germany;Geography Department, Landscape Ecology Lab, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany;Croatian Forest Research Institute, Division for International Scientific Cooperation in Southeast Europe, Cvjetno naselje 41, 10450 Jastrebarsko, Croatia;UFZ – Helmholtz Centre for Environmental Research, Department of Computational Landscape Ecology, Permoserstr. 15, 04318 Leipzig, Germany;UFZ – Helmholtz Centre for Environmental Research, Department of Urban and Environmental Sociology, Permoserstr. 15, 04318 Leipzig, Germany

摘要

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.