Liting Wang

Hainan Institute of Biotechnology, Haikou, 570206, Hainan, China
Author    Correspondence author
International Journal of Aquaculture, 2024, Vol. 14, No. 2   
Received: 08 Mar., 2024    Accepted: 12 Apr., 2024    Published: 26 Apr., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The The health of aquatic ecosystems is crucial for ecological balance and human well-being. This study explores recent advances in monitoring and managing aquatic ecosystem health, focusing on technological innovation and policy integration. It evaluates various advanced monitoring technologies, including remote sensing, IoT devices, biological monitoring methods, and big data analysis, applied to different water bodies such as lakes, rivers, and wetlands. These technologies provide comprehensive and detailed water quality data, enabling real-time monitoring and trend prediction. Additionally, the study analyzes the advantages and limitations of these technologies, such as high data acquisition costs, technical maintenance complexity, and data analysis bottlenecks. To address these challenges, it proposes enhancing monitoring and management efficiency through interdisciplinary collaboration and public participation. On the policy front, it discusses how sustainable water resource management can be achieved through legal frameworks, government-community cooperation, and international technological exchange. The study emphasizes the importance of integrating technology and policy and suggests future directions, including the development of cost-effective monitoring technologies, improvement of data analysis capabilities, and strengthening multi-stakeholder cooperation. This research provides a comprehensive reference framework for researchers and policymakers, aiming to promote the continuous development of aquatic ecosystem health monitoring and management.

Aquatic ecosystems; Health monitoring; Management strategies; Remote sensing: IoT; Big data analysis; Policy integration; Sustainable development