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Article

Spatial Distribution and Differentiation Analysis of Coastal Aquaculture in China Based on Remote Sensing Monitoring

1
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(9), 1585; https://doi.org/10.3390/rs16091585
Submission received: 5 March 2024 / Revised: 22 April 2024 / Accepted: 26 April 2024 / Published: 29 April 2024
(This article belongs to the Section Ocean Remote Sensing)

Abstract

Multiple datasets related to pond and marine aquaculture have been published using diverse remote sensing technologies, yet a comprehensive dataset detailing spatial distribution on both land and sea sides is lacking. Firstly, a meticulous comparison of datasets which we selected related to aquaculture ponds and marine, ensuring consistency in trends. Subsequently, the datasets published by our team were edited and integrated to illustrate aquaculture activities on both sides of China’s coastal zone. Finally, a spatial differentiation of coastal aquaculture in major provinces was analyzed. This analysis also utilizes the types of coastline and statistical data, guiding coordinated resource management efforts. The results unveil a distinctive spatial distribution pattern, concentrating aquaculture in the northern regions—Bohai Sea, Jiangsu, Fujian, and Pearl River coasts in Guangdong. The provinces rich in aquaculture resources, such as Shandong, Guangdong, and Liaoning, exhibit extensive coastlines. However, remote sensing monitoring suggests an underestimation of Liaoning’s marine aquaculture compared to statistical yearbook data. Furthermore, southern provinces like Guangdong and Fujian exhibit significantly higher aquaculture output than Liaoning. Zhejiang leads in fishing output. The paper outlines the future development direction of coastal aquaculture, emphasizing a strategic, integrated land–sea approach for sustainable development.
Keywords: aquaculture; remote sensing; coastal zone in China; integrated land–sea planning aquaculture; remote sensing; coastal zone in China; integrated land–sea planning

Share and Cite

MDPI and ACS Style

Meng, D.; Yang, X.; Wang, Z.; Liu, Y.; Zhang, J.; Liu, X.; Liu, B. Spatial Distribution and Differentiation Analysis of Coastal Aquaculture in China Based on Remote Sensing Monitoring. Remote Sens. 2024, 16, 1585. https://doi.org/10.3390/rs16091585

AMA Style

Meng D, Yang X, Wang Z, Liu Y, Zhang J, Liu X, Liu B. Spatial Distribution and Differentiation Analysis of Coastal Aquaculture in China Based on Remote Sensing Monitoring. Remote Sensing. 2024; 16(9):1585. https://doi.org/10.3390/rs16091585

Chicago/Turabian Style

Meng, Dan, Xiaomei Yang, Zhihua Wang, Yueming Liu, Junyao Zhang, Xiaoliang Liu, and Bin Liu. 2024. "Spatial Distribution and Differentiation Analysis of Coastal Aquaculture in China Based on Remote Sensing Monitoring" Remote Sensing 16, no. 9: 1585. https://doi.org/10.3390/rs16091585

APA Style

Meng, D., Yang, X., Wang, Z., Liu, Y., Zhang, J., Liu, X., & Liu, B. (2024). Spatial Distribution and Differentiation Analysis of Coastal Aquaculture in China Based on Remote Sensing Monitoring. Remote Sensing, 16(9), 1585. https://doi.org/10.3390/rs16091585

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