Evaluation of the ecological carrying capacity of Wailingding marine ranching in Zhuhai, China by high-resolution remote sensing
Evaluation of the ecological carrying capacity of marine ranching is a prerequisite and guarantee for ensuring the sustainable development of aquaculture activities, protecting and maintaining the stability and security of marine ecosystems. Based on high-resolution satellite remote sensing data and...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Marine Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2024.1354407/full |
| _version_ | 1827340989140828160 |
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| author | Ziwen Wang Ziwen Wang Ziwen Wang Lijun Yao Jing Yu Jing Yu Pimao Chen Pimao Chen Zhen Li Zhen Li Zhen Li Weiwei Yang Weiwei Yang Weiwei Yang |
| author_facet | Ziwen Wang Ziwen Wang Ziwen Wang Lijun Yao Jing Yu Jing Yu Pimao Chen Pimao Chen Zhen Li Zhen Li Zhen Li Weiwei Yang Weiwei Yang Weiwei Yang |
| author_sort | Ziwen Wang |
| collection | DOAJ |
| description | Evaluation of the ecological carrying capacity of marine ranching is a prerequisite and guarantee for ensuring the sustainable development of aquaculture activities, protecting and maintaining the stability and security of marine ecosystems. Based on high-resolution satellite remote sensing data and survey data of Wailingding marine ranching in Zhuhai from 2006 to 2021, this study constructed a marine ecological carrying capacity (MECC) index system with three levels: resources, environment, and ecology. A combination of the analytic hierarchy process (AHP) method and entropy method was applied to assign values to indexes, and then, the MECC of marine ranching was evaluated based on the state-space model and the weighted Bonferroni mean (WBM) model. Results showed that the MECC of Wailingding marine ranching increased from 0.49 (2006) before the marine ranching construction to 0.79 (2021) after the marine ranching construction. Marine ranching had elevated MECC from a loadable state to a fully loaded state. The intertidal subsystem, with a weight of 52.51%, dominates the MECC of marine ranching, in which resource and environmental factors are the major influencing factors. The increased rate of the state-space model (61.73%) was higher than that of the WBM model (44.34%), indicating that the state-space model is more feasible for the MECC assessment of Wailingding marine ranching. |
| first_indexed | 2024-03-07T21:29:26Z |
| format | Article |
| id | doaj.art-1a75b08bc26448a69d1dee41a6cc0a51 |
| institution | Directory Open Access Journal |
| issn | 2296-7745 |
| language | English |
| last_indexed | 2024-03-07T21:29:26Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj.art-1a75b08bc26448a69d1dee41a6cc0a512024-02-26T17:36:05ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452024-02-011110.3389/fmars.2024.13544071354407Evaluation of the ecological carrying capacity of Wailingding marine ranching in Zhuhai, China by high-resolution remote sensingZiwen Wang0Ziwen Wang1Ziwen Wang2Lijun Yao3Jing Yu4Jing Yu5Pimao Chen6Pimao Chen7Zhen Li8Zhen Li9Zhen Li10Weiwei Yang11Weiwei Yang12Weiwei Yang13College of Marine Science, Shanghai Ocean University, Shanghai, ChinaSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Scientific Observing and Experimental Station of South China Sea Fishery Resources and Environment, Ministry of Agriculture and Rural Affairs, Guangdong Engineering Technology Research Center of Marine Recreational Fishery, Key Laboratory of Marine Ranching Technology, CAFS, Guangzhou, ChinaSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, ChinaDepartment of Optoelectronic Engineering, Jinan University, Guangzhou, ChinaSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Scientific Observing and Experimental Station of South China Sea Fishery Resources and Environment, Ministry of Agriculture and Rural Affairs, Guangdong Engineering Technology Research Center of Marine Recreational Fishery, Key Laboratory of Marine Ranching Technology, CAFS, Guangzhou, ChinaSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, ChinaSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Scientific Observing and Experimental Station of South China Sea Fishery Resources and Environment, Ministry of Agriculture and Rural Affairs, Guangdong Engineering Technology Research Center of Marine Recreational Fishery, Key Laboratory of Marine Ranching Technology, CAFS, Guangzhou, ChinaSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, ChinaCollege of Marine Science, Shanghai Ocean University, Shanghai, ChinaSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Scientific Observing and Experimental Station of South China Sea Fishery Resources and Environment, Ministry of Agriculture and Rural Affairs, Guangdong Engineering Technology Research Center of Marine Recreational Fishery, Key Laboratory of Marine Ranching Technology, CAFS, Guangzhou, ChinaSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, ChinaSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Scientific Observing and Experimental Station of South China Sea Fishery Resources and Environment, Ministry of Agriculture and Rural Affairs, Guangdong Engineering Technology Research Center of Marine Recreational Fishery, Key Laboratory of Marine Ranching Technology, CAFS, Guangzhou, ChinaSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, ChinaCollege of Fisheries and Life Science, Dalian Ocean University, Dalian, ChinaEvaluation of the ecological carrying capacity of marine ranching is a prerequisite and guarantee for ensuring the sustainable development of aquaculture activities, protecting and maintaining the stability and security of marine ecosystems. Based on high-resolution satellite remote sensing data and survey data of Wailingding marine ranching in Zhuhai from 2006 to 2021, this study constructed a marine ecological carrying capacity (MECC) index system with three levels: resources, environment, and ecology. A combination of the analytic hierarchy process (AHP) method and entropy method was applied to assign values to indexes, and then, the MECC of marine ranching was evaluated based on the state-space model and the weighted Bonferroni mean (WBM) model. Results showed that the MECC of Wailingding marine ranching increased from 0.49 (2006) before the marine ranching construction to 0.79 (2021) after the marine ranching construction. Marine ranching had elevated MECC from a loadable state to a fully loaded state. The intertidal subsystem, with a weight of 52.51%, dominates the MECC of marine ranching, in which resource and environmental factors are the major influencing factors. The increased rate of the state-space model (61.73%) was higher than that of the WBM model (44.34%), indicating that the state-space model is more feasible for the MECC assessment of Wailingding marine ranching.https://www.frontiersin.org/articles/10.3389/fmars.2024.1354407/fullmarine ecological carrying capacitymarine ranchinghigh-resolution remote sensingWailingdingthree-dimensional state-space modelweighted Bonferroni mean |
| spellingShingle | Ziwen Wang Ziwen Wang Ziwen Wang Lijun Yao Jing Yu Jing Yu Pimao Chen Pimao Chen Zhen Li Zhen Li Zhen Li Weiwei Yang Weiwei Yang Weiwei Yang Evaluation of the ecological carrying capacity of Wailingding marine ranching in Zhuhai, China by high-resolution remote sensing Frontiers in Marine Science marine ecological carrying capacity marine ranching high-resolution remote sensing Wailingding three-dimensional state-space model weighted Bonferroni mean |
| title | Evaluation of the ecological carrying capacity of Wailingding marine ranching in Zhuhai, China by high-resolution remote sensing |
| title_full | Evaluation of the ecological carrying capacity of Wailingding marine ranching in Zhuhai, China by high-resolution remote sensing |
| title_fullStr | Evaluation of the ecological carrying capacity of Wailingding marine ranching in Zhuhai, China by high-resolution remote sensing |
| title_full_unstemmed | Evaluation of the ecological carrying capacity of Wailingding marine ranching in Zhuhai, China by high-resolution remote sensing |
| title_short | Evaluation of the ecological carrying capacity of Wailingding marine ranching in Zhuhai, China by high-resolution remote sensing |
| title_sort | evaluation of the ecological carrying capacity of wailingding marine ranching in zhuhai china by high resolution remote sensing |
| topic | marine ecological carrying capacity marine ranching high-resolution remote sensing Wailingding three-dimensional state-space model weighted Bonferroni mean |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2024.1354407/full |
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