Promoting landscape connectivity of highly urbanized area: An ecological network approach
Ecological infrastructure is a popular framework for conservation planning. In this paper, one of the most urbanized regions of China-Shenzhen was chosen as the study area. Ecological infrastructure with different configurations and functions were identified and combined to form the urban ecological...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2021-06-01
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Series: | Ecological Indicators |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X21001527 |
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author | Shuang Wang Maoquan Wu Mengmeng Hu Chen Fan Tao Wang Beicheng Xia |
author_facet | Shuang Wang Maoquan Wu Mengmeng Hu Chen Fan Tao Wang Beicheng Xia |
author_sort | Shuang Wang |
collection | DOAJ |
description | Ecological infrastructure is a popular framework for conservation planning. In this paper, one of the most urbanized regions of China-Shenzhen was chosen as the study area. Ecological infrastructure with different configurations and functions were identified and combined to form the urban ecological network. The ecological sources were identified using morphological spatial pattern analysis (MSPA) and landscape connectivity analysis. The ecological resistance surface developed from ecosystem service value was modified basing on ecological sensitivity and landscape connectivity. The ecological network was constructed by minimum cumulative resistance (MCR) model and then optimized and accessed. The results show that: (1) the ecological network consists of 25 ecological sources distributed mainly in the southeast and west. Twenty-nine ecological corridors were extracted and 36 ecological nodes identified. (2) In the optimized ecological network, 10 new ecological sources were added, and 46 ecological corridors and 59 ecological nodes were identified. It would promote the connectivity of the ecological sources and the stability of ecological functioning process. (3) The ecological network took ecosystem service value and ecological sensitivity into consideration and lays emphasis on improving landscape connectivity, providing an approach to optimizing urban ecological network and contributing to urban planning. |
first_indexed | 2024-12-14T14:32:11Z |
format | Article |
id | doaj.art-d12e23e127b54cbaa5189b80c161a6c8 |
institution | Directory Open Access Journal |
issn | 1470-160X |
language | English |
last_indexed | 2024-12-14T14:32:11Z |
publishDate | 2021-06-01 |
publisher | Elsevier |
record_format | Article |
series | Ecological Indicators |
spelling | doaj.art-d12e23e127b54cbaa5189b80c161a6c82022-12-21T22:57:46ZengElsevierEcological Indicators1470-160X2021-06-01125107487Promoting landscape connectivity of highly urbanized area: An ecological network approachShuang Wang0Maoquan Wu1Mengmeng Hu2Chen Fan3Tao Wang4Beicheng Xia5School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, ChinaSchool of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, ChinaSchool of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, ChinaShenzhen Degree of Freedom Sci-Tech Co. Ltd., Shenzhen 518116, ChinaShenzhen Degree of Freedom Sci-Tech Co. Ltd., Shenzhen 518116, ChinaSchool of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China; Corresponding author.Ecological infrastructure is a popular framework for conservation planning. In this paper, one of the most urbanized regions of China-Shenzhen was chosen as the study area. Ecological infrastructure with different configurations and functions were identified and combined to form the urban ecological network. The ecological sources were identified using morphological spatial pattern analysis (MSPA) and landscape connectivity analysis. The ecological resistance surface developed from ecosystem service value was modified basing on ecological sensitivity and landscape connectivity. The ecological network was constructed by minimum cumulative resistance (MCR) model and then optimized and accessed. The results show that: (1) the ecological network consists of 25 ecological sources distributed mainly in the southeast and west. Twenty-nine ecological corridors were extracted and 36 ecological nodes identified. (2) In the optimized ecological network, 10 new ecological sources were added, and 46 ecological corridors and 59 ecological nodes were identified. It would promote the connectivity of the ecological sources and the stability of ecological functioning process. (3) The ecological network took ecosystem service value and ecological sensitivity into consideration and lays emphasis on improving landscape connectivity, providing an approach to optimizing urban ecological network and contributing to urban planning.http://www.sciencedirect.com/science/article/pii/S1470160X21001527Ecosystem serviceEcological sourcesEcological corridorsEcological resistanceMorphological spatial pattern analysis |
spellingShingle | Shuang Wang Maoquan Wu Mengmeng Hu Chen Fan Tao Wang Beicheng Xia Promoting landscape connectivity of highly urbanized area: An ecological network approach Ecological Indicators Ecosystem service Ecological sources Ecological corridors Ecological resistance Morphological spatial pattern analysis |
title | Promoting landscape connectivity of highly urbanized area: An ecological network approach |
title_full | Promoting landscape connectivity of highly urbanized area: An ecological network approach |
title_fullStr | Promoting landscape connectivity of highly urbanized area: An ecological network approach |
title_full_unstemmed | Promoting landscape connectivity of highly urbanized area: An ecological network approach |
title_short | Promoting landscape connectivity of highly urbanized area: An ecological network approach |
title_sort | promoting landscape connectivity of highly urbanized area an ecological network approach |
topic | Ecosystem service Ecological sources Ecological corridors Ecological resistance Morphological spatial pattern analysis |
url | http://www.sciencedirect.com/science/article/pii/S1470160X21001527 |
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