TU Darmstadt / ULB / TUbiblio

A multiple scale, function, and type approach to determine and improve Green Infrastructure of urban watersheds

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, 2022
doi: 10.1016/j.ufug.2022.127459
Artikel, Bibliographie

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: Bibliographie
Titel: A multiple scale, function, and type approach to determine and improve Green Infrastructure of urban watersheds
Sprache: Englisch
Publikationsjahr: 5 Januar 2022
Verlag: Elsevier
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Urban Forestry & Urban Greening
Jahrgang/Volume einer Zeitschrift: 2022
DOI: 10.1016/j.ufug.2022.127459
URL / URN: https://linkinghub.elsevier.com/retrieve/pii/S16188667220000...
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.

Freie Schlagworte: FRAGSTATS, Green Infrastructure, Landscape metrics, Nature-based Solutions, Spatial Analysis, Urban Ecology
Fachbereich(e)/-gebiet(e): 11 Fachbereich Material- und Geowissenschaften
11 Fachbereich Material- und Geowissenschaften > Geowissenschaften
11 Fachbereich Material- und Geowissenschaften > Geowissenschaften > Fachgebiet Ingenieurökologie
TU-Projekte: Bund/BMBF|01UU1704|SEE-URBAN-WATER
Hinterlegungsdatum: 07 Jan 2022 07:22
Letzte Änderung: 07 Jan 2022 07:22
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen