Full TGIF Record # 304728
Item 1 of 1
DOI:10.1016/j.ufug.2018.10.014
Web URL(s):https://www.sciencedirect.com/science/article/pii/S1618866717307343
    Last checked: 04/22/2019
    Access conditions: Item is within a limited-access website
https://www.sciencedirect.com/science/article/pii/S1618866717307343/pdfft
    Last checked: 04/22/2019
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Publication Type:
i
Refereed
Author(s):Zhang, Zhenzhen; Merrow, Sara; Newell, Joshua P.; Lindquist, Mark
Author Affiliation:Zhang: Department of Forestry & Environmental Resources, North Carolina State University; Merrow: Arizona State University, School of Geographical Sciences & Urban Planning; Newell and Lindquist: University of Michigan, School for Environment & Sustainability (SEAS)
Title:Enhancing landscape connectivity through multifunctional green infrastructure corridor modeling and design
Source:Urban Forestry & Urban Greening. Vol. 38, February 2019, p. 305-317.
# of Pages:13
Publishing Information:Jena, Germany: Urban & Fischer
Related Web URL:https://www.sciencedirect.com/science/article/pii/S1618866717307343#abs0010
    Last checked: 04/22/2019
    Notes: Abstract only
Keywords:TIC Keywords: Greenspace; Landscape design; Models; Park management; Urban landscaping; Wildlife corridors
Trade Names:FRAGSTATS
Abstract/Contents:"Landscape connectivity is critical for ecosystem health and biodiversity conservation, yet urbanization is increasing habitat fragmentation. Green corridors that connect isolated remnant habitat patches (e.g. parks) can increase connectivity and provide ecosystem services in cities. Vacant land, especially prevalent in shrinking cities, presents a unique opportunity to reconnect these landscapes. This paper provides a practical and replicable approach for assessing landscape connectivity patterns and identifying priority locations for green corridors. The methodology integrates social and ecological factors coupled with site-scale multifunctional greenway designs and is applied to the city of Detroit as a proof of concept. First, we use FRAGSTATS to evaluate structural landscape connectivity patterns at a census tract scale. A functional connectivity assessment based on graph theory and Conefor software is used to validate the results, which indicate that habitat is highly fragmented in Detroit. To identify opportunities to reduce this fragmentation, we use a least-cost path approach to map potential green corridors linking city parks through vacant parcels, alleys, and smaller green spaces, and prioritize these corridors using a gravity model and network analysis. To make the model more concrete and useful for decision-makers, we develop site-level multifunctional corridor design typologies. This study presents a novel approach to assessing urban connectivity and a multi-scalar, systematic methodology for planning urban green infrastructure networks that connects landscape ecology with practical planning and design considerations to maximize social and ecological functions."
Language:English
References:79
Note:Figures
Tables
Graphs
Geographic Terms:Detroit, Michigan
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Zhang, Z., S. Merrow, J. P. Newell, and M. Lindquist. 2019. Enhancing landscape connectivity through multifunctional green infrastructure corridor modeling and design. Urban Forestry & Urban Greening. 38:p. 305-317.
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DOI: 10.1016/j.ufug.2018.10.014
Web URL(s):
https://www.sciencedirect.com/science/article/pii/S1618866717307343
    Last checked: 04/22/2019
    Access conditions: Item is within a limited-access website
https://www.sciencedirect.com/science/article/pii/S1618866717307343/pdfft
    Last checked: 04/22/2019
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
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MSU catalog number: b5268048~S1a
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