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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, 68
doi: 10.26083/tuprints-00020309
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: A multiple scale, function, and type approach to determine and improve Green Infrastructure of urban watersheds
Language: English
Date: 2022
Place of Publication: Darmstadt
Year of primary publication: 2022
Publisher: Elsevier
Journal or Publication Title: Urban Forestry & Urban Greening
Volume of the journal: 68
Collation: 17 Seiten
DOI: 10.26083/tuprints-00020309
Corresponding Links:
Origin: Secondary publication service
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.

Uncontrolled Keywords: FRAGSTATS, Green Infrastructure, Landscape metrics, Nature-based solutions, Spatial analysis, Urban ecology
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-203096
Classification DDC: 500 Science and mathematics > 550 Earth sciences and geology
600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 11 Department of Materials and Earth Sciences > Earth Science > Ecological Engineering
Date Deposited: 14 Jan 2022 07:55
Last Modified: 21 Mar 2023 10:31
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/20309
PPN: 506155579
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