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Leveraging the Multidisciplinary Insights to Solve Watershed Management Problems

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: 26 February 2026 | Viewed by 748

Special Issue Editors


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Guest Editor
School of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, China
Interests: river health assessment; watershed ecological restoration

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Guest Editor
Faculty Of Chemistry And Environment Science, Guangdong Ocean University, Zhanjiang 524088, China
Interests: water environment modeling; aquatic ecological restoration

Special Issue Information

Dear Colleagues,

Watershed management has emerged as a critical priority in addressing global environmental challenges, including water scarcity, ecological degradation,  and climate change. Effective management of watersheds—as complex natural–social systems—is essential for ensuring water security, maintaining ecological balance, and supporting sustainable socio-economic development. Key objectives include changes in watershed ecosystem services, optimal water resource allocation, ecological protection and restoration, and policy recommendations for enhancing the health of wetlands and ecosystems. However, watershed management faces the dual challenges of complexity and uncertainty, necessitating integrating multidisciplinary insights and innovative technological tools to develop science-based, adaptive, and precision-driven management strategies.

For this Special Issue, we request original research articles that contribute to advancing watershed health management through innovative approaches, including but not limited to the following:

  • Coupled hydrological–ecological modeling to quantify the impacts of human activities and climate change on the watershed ecosystem;
  • Integration of remote sensing, GIS, and multi-objective optimization algorithms to explore equitable and sustainable allocation mechanisms for social and ecological water use;
  • The spatiotemporal evolution patterns and driving mechanisms of wetland biodiversity under combined natural and anthropogenic influences;
  • Novel policy frameworks or management models that foster eco-social synergies, informed by multidisciplinary perspectives;
  • Assessing how or why new watershed management technologies may or may not impact how individuals and communities live within the watershed.

We particularly encourage submissions that leverage cutting-edge technologies, such as artificial intelligence, big data analytics, and machine learning , to enhance data processing, decision-making, and predictive modeling in watershed management. By fostering innovative and scalable solutions, this Special Issue will support the global goal of achieving harmonious coexistence between humans and water systems.

Dr. Yang Zhou
Dr. Kai Tian
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • model simulation
  • watershed ecosystem services
  • wetland biodiversity
  • policy frameworks
  • multidisciplinary insights
  • watershed management

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Published Papers (2 papers)

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Research

22 pages, 18022 KB  
Article
Identification of Ecological Restoration Zones Based on Ecological Security Pattern and Ecological Risk Assessment—A Case Study of Liaoning Province
by Shengjun Yan, Xiaoping Zhang, Rui Yan, Yilong Luo, Haoze Wang, Baokang Xing, Changan Liu, Daoyan Xu and Guoxiang Liao
Sustainability 2026, 18(1), 204; https://doi.org/10.3390/su18010204 - 24 Dec 2025
Abstract
Rapid urbanization has intensified ecological problems such as landscape fragmentation and biodiversity decline, underscoring the need to maintain regional ecological integrity. The construction of ecological security patterns and the optimization of ecological restoration areas are crucial for addressing these ecological issues. However, research [...] Read more.
Rapid urbanization has intensified ecological problems such as landscape fragmentation and biodiversity decline, underscoring the need to maintain regional ecological integrity. The construction of ecological security patterns and the optimization of ecological restoration areas are crucial for addressing these ecological issues. However, research on how to couple ecological security patterns with ecological risk assessment to scientifically identify priority areas for ecological restoration and guide spatially targeted restoration remains insufficient. To address this gap, we investigated Liaoning Province by integrating morphological spatial pattern analysis, landscape connectivity assessment, and ecosystem service hotspot analysis to identify ecological sources. We then applied the minimum cumulative resistance model and circuit theory to extract ecological corridors, constructing a comprehensive ecological security pattern. Integrating landscape ecological risk assessment with ecological security patterns established a conservation and restoration-oriented ecological security framework. The results show that the ecological security pattern comprises 40 ecological source patches and 89 potential ecological corridors. Ecological sources encompass a total of 17,628 km2 (approximately 12% of the province), primarily comprising water bodies, grasslands, shrublands, and forests. The ecological corridors span a total of 3533.9 km, with an average length of 39.7 km. We also identified 139 ecological pinch points and 109 ecological barrier points. Integrating these findings with landscape ecological risk zoning delineates ecological restoration zones, revealing a spatial pattern characterized by east–west differentiation and north–south continuity. This ecological conservation and restoration network provides a clear spatial guide and a robust scientific foundation for territorial spatial planning, ecological conservation, and restoration efforts. Full article
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18 pages, 2022 KB  
Article
Research on the Spatiotemporal Effects of Water Temperature in the Construction of Cascade Dams on the Yangtze River Main Stream Based on Optimized CNN-LSTM Attention Model
by Shanghong Zhang, Hao Wang, Ruicheng Zhang, Hua Zhang and Yang Zhou
Sustainability 2025, 17(20), 9046; https://doi.org/10.3390/su17209046 - 13 Oct 2025
Viewed by 496
Abstract
Hydrothermal conditions are a key indicator influencing the evolution of aquatic ecosystems, closely affecting the physical, chemical, and biological properties of water bodies. The construction of cascaded dams on the main stem of the Yangtze River has altered the natural water temperature regime, [...] Read more.
Hydrothermal conditions are a key indicator influencing the evolution of aquatic ecosystems, closely affecting the physical, chemical, and biological properties of water bodies. The construction of cascaded dams on the main stem of the Yangtze River has altered the natural water temperature regime, impacting the hydrothermal status of the water. Utilizing multi-source remote sensing data from Google Earth Engine to invert river surface water temperatures, a parameter-optimized CNN-LSTM-Attention hybrid interpretable water temperature prediction model was constructed. The model demonstrated credible accuracy. Based on the inversion results, the study revealed the spatiotemporal evolution characteristics of water temperature in the main stem of the Yangtze River before and after cascaded dam construction in the lower Jinsha River region and the Three Gorges Reservoir area. The results found that after the construction of the Three Gorges Dam, the annual average water temperature increased significantly by 0.813 °C. The “cold water stagnation effect” induced by cascaded development caused the water temperature amplitude to increase from 8.96 °C to 10.6 °C. Furthermore, the regulating effect of tributary confluence exhibited significant differences. For instance, colder tributaries like the Yalong River reduced the main stem water temperature, while warmer tributaries like the Jialing River, conversely, increased the main stem temperature. The construction of cascaded dams led to distinct variation characteristics in the areas downstream of the dams within the reservoir regions, where tributary inflows caused corresponding changes in the main stem water temperature. This study elucidates the long-term spatiotemporal variation characteristics of water temperature in the main stem of the Yangtze River. The model prediction results can assist in constructing an early warning indicator system for water temperature changes, providing reliable data support for promoting water environment sustainability and ecological civilization construction in the river basin. Full article
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