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Mapping Incremental Loss of Biodiversity Through Zoning WANG, CHENYAO
Description
As urbanization escalates, reconciling human development with ecological preservation becomes imperative. This study addresses the challenge by assessing the incremental loss of biodiversity within the District of Sechelt, British Columbia, due to land use zoning. Focusing on a region renowned for its diverse ecosystems, the research evaluates current zoning practices, identifies potential threats to ecosystems and biodiversity, and proposes an integrated framework for sustainable urban development. Employing Geographic Information Systems (GIS) and remote sensing technology, a multi-criteria decision analysis (MCDA) framework is constructed, incorporating criteria like the Normalized Difference Vegetation Index (NDVI), land cover type, and proximity to sensitive ecosystems. Through this, land parcels are assigned ecological values, creating a composite map that visualizes high-priority conservation areas. The results reveal that areas zoned for Commercial, Industrial, Residential, and Residential-Multiple uses harbor lower ecological values and face greater risk of degradation. The research identified these zones as particularly vulnerable due to lenient regulations, resulting in habitat fragmentation and potential loss of biodiversity. High-value ecological lands within these zones were recognized as threatened ecosystems requiring conservation prioritization. The study proposes zoning modifications to enhance ecological conservation, suggesting that integrating ecological concerns into urban planning is not only feasible but also critical for the sustainability of urban centers. It underscores the importance of integrating ecological evaluation into urban planning processes, demonstrating a path forward for developing urban areas that prioritize ecological integrity alongside growth.
Item Metadata
| Title |
Mapping Incremental Loss of Biodiversity Through Zoning
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| Alternate Title |
How does the application of a multi-criteria decision analysis framework reveal the impact of land use zoning on urban ecosystems?
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| Creator | |
| Contributor | |
| Date Issued |
2024-04-24
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| Description |
As urbanization escalates, reconciling human development with ecological preservation becomes imperative. This study addresses the challenge by assessing the incremental loss of biodiversity within the District of Sechelt, British Columbia, due to land use zoning. Focusing on a region renowned for its diverse ecosystems, the research evaluates current zoning practices, identifies potential threats to ecosystems and biodiversity, and proposes an integrated framework for sustainable urban development. Employing Geographic Information Systems (GIS) and remote sensing technology, a multi-criteria decision analysis (MCDA) framework is constructed, incorporating criteria like the Normalized Difference Vegetation Index (NDVI), land cover type, and proximity to sensitive ecosystems. Through this, land parcels are assigned ecological values, creating a composite map that visualizes high-priority conservation areas. The results reveal that areas zoned for Commercial, Industrial, Residential, and Residential-Multiple uses harbor lower ecological values and face greater risk of degradation. The research identified these zones as particularly vulnerable due to lenient regulations, resulting in habitat fragmentation and potential loss of biodiversity. High-value ecological lands within these zones were recognized as threatened ecosystems requiring conservation prioritization. The study proposes zoning modifications to enhance ecological conservation, suggesting that integrating ecological concerns into urban planning is not only feasible but also critical for the sustainability of urban centers. It underscores the importance of integrating ecological evaluation into urban planning processes, demonstrating a path forward for developing urban areas that prioritize ecological integrity alongside growth.
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| Subject | |
| Geographic Location | |
| Type | |
| Language |
English
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| Date Available |
2024-04-11
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| Provider |
University of British Columbia Library
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| License |
CC-BY 4.0
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| DOI |
10.14288/1.0441525
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| URI | |
| Publisher DOI | |
| Rights URI | |
| Country |
Canada
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| Aggregated Source Repository |
Dataverse
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Licence
CC-BY 4.0