Arthur, Nils ; Hack, Jochen (2022)
A multiple scale, function, and type approach to determine and improve Green Infrastructure of urban watersheds.
In: Urban Forestry & Urban Greening, 68
doi: 10.26083/tuprints-00020309
Artikel, Zweitveröffentlichung, Verlagsversion
Kurzbeschreibung (Abstract)
Green Infrastructure (GI) connects different types of green features via various scales, thereby supporting urban biodiversity and service provision. This study presents a methodology capable of identifying multiple functions to assess GI in less-developed countries, where such methodologies are lacking. GI was assessed based on a high-resolution land use classification using both landscape metrics and spatial data within an urbanized region of San José, Costa Rica, at different scales (watershed, neighbourhood, object). Results showed highly fragmented green spaces (often <10 ha), typically unable to support high levels of biodiversity, along with a low amount of green space per inhabitant (<7.4 m²) within the watershed. Substantially higher tree cover (x6) and tree density (x5) were found in the greenest neighbourhood in comparison to the least green neighbourhood. Potential areas for new GI in the form of green roofs (4.03 ha), permeable pavement (27.3), and potential retention areas (85.3) were determined. Several green spaces (n = 11) were identified as promising GI sites with the potential to increase provision (18.6 m²/inhabitant). The adopted methodology demonstrates the potential of GI for increasing recreational green space access, runoff reduction, and flood retentions while supporting biodiversity, validating its utility in guiding decision-making and policy generation.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Arthur, Nils ; Hack, Jochen |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | A multiple scale, function, and type approach to determine and improve Green Infrastructure of urban watersheds |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Verlag: | Elsevier |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Urban Forestry & Urban Greening |
| Jahrgang/Volume einer Zeitschrift: | 68 |
| Kollation: | 17 Seiten |
| DOI: | 10.26083/tuprints-00020309 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/20309 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| Kurzbeschreibung (Abstract): | Green Infrastructure (GI) connects different types of green features via various scales, thereby supporting urban biodiversity and service provision. This study presents a methodology capable of identifying multiple functions to assess GI in less-developed countries, where such methodologies are lacking. GI was assessed based on a high-resolution land use classification using both landscape metrics and spatial data within an urbanized region of San José, Costa Rica, at different scales (watershed, neighbourhood, object). Results showed highly fragmented green spaces (often <10 ha), typically unable to support high levels of biodiversity, along with a low amount of green space per inhabitant (<7.4 m²) within the watershed. Substantially higher tree cover (x6) and tree density (x5) were found in the greenest neighbourhood in comparison to the least green neighbourhood. Potential areas for new GI in the form of green roofs (4.03 ha), permeable pavement (27.3), and potential retention areas (85.3) were determined. Several green spaces (n = 11) were identified as promising GI sites with the potential to increase provision (18.6 m²/inhabitant). The adopted methodology demonstrates the potential of GI for increasing recreational green space access, runoff reduction, and flood retentions while supporting biodiversity, validating its utility in guiding decision-making and policy generation. |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-203096 |
| Zusätzliche Informationen: | Keywords: FRAGSTATS, Green Infrastructure, Landscape metrics, Nature-based solutions, Spatial analysis, Urban ecology |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 11 Fachbereich Material- und Geowissenschaften 11 Fachbereich Material- und Geowissenschaften > Geowissenschaften 11 Fachbereich Material- und Geowissenschaften > Geowissenschaften > Fachgebiet Ingenieurökologie |
| Hinterlegungsdatum: | 14 Jan 2022 07:55 |
| Letzte Änderung: | 17 Jan 2022 06:29 |
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