Improving Urban Habitat Connectivity for Native Birds: Using Least-Cost Path Analyses to Design Urban Green Infrastructure Networks
aut.relation.endpage | 1456 | |
aut.relation.issue | 7 | |
aut.relation.journal | Land | |
aut.relation.startpage | 1456 | |
aut.relation.volume | 12 | |
dc.contributor.author | MacKinnon, M | |
dc.contributor.author | Pedersen Zari, M | |
dc.contributor.author | Brown, DK | |
dc.date.accessioned | 2023-08-17T04:37:45Z | |
dc.date.available | 2023-08-17T04:37:45Z | |
dc.date.issued | 2023-07-21 | |
dc.description.abstract | Habitat loss and fragmentation are primary threats to biodiversity in urban areas. Least-cost path analyses are commonly used in ecology to identify and protect wildlife corridors and stepping-stone habitats that minimise the difficulty and risk for species dispersing across human-modified landscapes. However, they are rarely considered or used in the design of urban green infrastructure networks, particularly those that include building-integrated vegetation, such as green walls and green roofs. This study uses Linkage Mapper, an ArcGIS toolbox, to identify the least-cost paths for four native keystone birds (kererū, tūī, korimako, and hihi) in Wellington, New Zealand, to design a network of green roof corridors that ease native bird dispersal. The results identified 27 least-cost paths across the central city that connect existing native forest habitats. Creating 0.7 km2 of green roof corridors along these least-cost paths reduced cost-weighted distances by 8.5–9.3% for the kererū, tūī, and korimako, but there was only a 4.3% reduction for the hihi (a small forest bird). In urban areas with little ground-level space for green infrastructure, this study demonstrates how least-cost path analyses can inform the design of building-integrated vegetation networks and quantify their impacts on corridor quality for target species in cities. | |
dc.identifier.citation | Land, ISSN: 2073-445X (Print); 2073-445X (Online), MDPI AG, 12(7), 1456-1456. doi: 10.3390/land12071456 | |
dc.identifier.doi | 10.3390/land12071456 | |
dc.identifier.issn | 2073-445X | |
dc.identifier.issn | 2073-445X | |
dc.identifier.uri | http://hdl.handle.net/10292/16558 | |
dc.language | en | |
dc.publisher | MDPI AG | |
dc.relation.uri | https://www.mdpi.com/2073-445X/12/7/1456 | |
dc.rights | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | |
dc.rights.accessrights | OpenAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | 4101 Climate Change Impacts and Adaptation | |
dc.subject | 4102 Ecological Applications | |
dc.subject | 33 Built Environment and Design | |
dc.subject | 41 Environmental Sciences | |
dc.subject | 3301 Architecture | |
dc.subject | 15 Life on Land | |
dc.subject | 11 Sustainable Cities and Communities | |
dc.subject | 0502 Environmental Science and Management | |
dc.subject | 3301 Architecture | |
dc.subject | 3304 Urban and regional planning | |
dc.subject | 4104 Environmental management | |
dc.title | Improving Urban Habitat Connectivity for Native Birds: Using Least-Cost Path Analyses to Design Urban Green Infrastructure Networks | |
dc.type | Journal Article | |
pubs.elements-id | 519466 |
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