Comprehensive Ecological Functional Zoning : A Data-Driven Approach for Sustainable Land Use and Environmental Management—A Case Study in Shenzhen, China
(2024) In Land 13(9).- Abstract
A comprehensive approach to ecological functional zoning in the Shenzhen region of China is presented in this study. Through the integration of advanced geospatial analysis tools, multiple data sources, and sophisticated statistical techniques, different ecological functions have been identified and categorized based on a comprehensive set of indicators and spatial analysis techniques. The three-level zoning framework established in this study offers policymakers, urban planners, and environmental managers a nuanced understanding of the region’s environmental characteristics, and highlights areas of ecological significance that warrant special attention and protection. It has been demonstrated that the data-driven approach to ecological... (More)
A comprehensive approach to ecological functional zoning in the Shenzhen region of China is presented in this study. Through the integration of advanced geospatial analysis tools, multiple data sources, and sophisticated statistical techniques, different ecological functions have been identified and categorized based on a comprehensive set of indicators and spatial analysis techniques. The three-level zoning framework established in this study offers policymakers, urban planners, and environmental managers a nuanced understanding of the region’s environmental characteristics, and highlights areas of ecological significance that warrant special attention and protection. It has been demonstrated that the data-driven approach to ecological functional zoning is effective in delineating distinct ecological zones within the study area. This study’s findings carry significant implications for future land use planning, conservation efforts, and sustainable development practices in the Shenzhen region. In essence, this study contributes to the broader discourse on ecological planning and environmental management by providing a systematic and data-driven approach to delineating ecological functional zones in urbanizing regions.
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- author
- Li, Yu ; Zhang, Fenghao ; Li, Ruifan ; Yu, Hongbing ; Chen, Yao and Yu, Han LU
- organization
- publishing date
- 2024-09
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- data-driven approach, ecological functional zoning, environmental management, sustainable land use
- in
- Land
- volume
- 13
- issue
- 9
- article number
- 1413
- publisher
- MDPI AG
- external identifiers
-
- scopus:85205321402
- ISSN
- 2073-445X
- DOI
- 10.3390/land13091413
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2024 by the authors.
- id
- 5b1b23d0-d686-46f0-a391-a3bf08524b7d
- date added to LUP
- 2024-12-18 13:49:32
- date last changed
- 2025-05-22 02:41:20
@article{5b1b23d0-d686-46f0-a391-a3bf08524b7d,
abstract = {{<p>A comprehensive approach to ecological functional zoning in the Shenzhen region of China is presented in this study. Through the integration of advanced geospatial analysis tools, multiple data sources, and sophisticated statistical techniques, different ecological functions have been identified and categorized based on a comprehensive set of indicators and spatial analysis techniques. The three-level zoning framework established in this study offers policymakers, urban planners, and environmental managers a nuanced understanding of the region’s environmental characteristics, and highlights areas of ecological significance that warrant special attention and protection. It has been demonstrated that the data-driven approach to ecological functional zoning is effective in delineating distinct ecological zones within the study area. This study’s findings carry significant implications for future land use planning, conservation efforts, and sustainable development practices in the Shenzhen region. In essence, this study contributes to the broader discourse on ecological planning and environmental management by providing a systematic and data-driven approach to delineating ecological functional zones in urbanizing regions.</p>}},
author = {{Li, Yu and Zhang, Fenghao and Li, Ruifan and Yu, Hongbing and Chen, Yao and Yu, Han}},
issn = {{2073-445X}},
keywords = {{data-driven approach; ecological functional zoning; environmental management; sustainable land use}},
language = {{eng}},
number = {{9}},
publisher = {{MDPI AG}},
series = {{Land}},
title = {{Comprehensive Ecological Functional Zoning : A Data-Driven Approach for Sustainable Land Use and Environmental Management—A Case Study in Shenzhen, China}},
url = {{http://dx.doi.org/10.3390/land13091413}},
doi = {{10.3390/land13091413}},
volume = {{13}},
year = {{2024}},
}