Jie Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jie Liu has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Angel Borja
AZTI, Marine Research, Basque Research and Technology Alliance (BRTA)
1 shared publication - Guocheng Zuo
Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
1 shared publication - Lu Yang
Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
1 shared publication - Rong Zeng
Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
1 shared publication - Tao Wang
Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
1 shared publication - Wenhai Lu
Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
1 shared publication
Latest Publications
- Open Access
- 4 November 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (21) , 9851
Multi-Objective Spatial Suitability Evaluations for Marine Spatial Planning Optimization in Dalian Coast, China
Marine spatial planning (MSP) has emerged as a fundamental process for achieving the balanced development of marine ecology, economy, and society. However, increasing conflicts among multiple marine uses, particularly between port development, industrial activities, fisheries, recreation, and ecological protection, highlight the pressing demand for robust and science-based planning tools. In this study, we propose an integrated analytical framework for multi-objective spatial suitability evaluation to optimize MSP. Using the coastal waters of Dalian, China, as a case study, we evaluated the spatial suitability of five key marine activities (ecological protection, mariculture, port construction, wind energy farm development, and coastal tourism) and applied a multi-criteria decision-making approach to inform spatial zoning. The results emphasize the region’s ecological significance as providing critical habitats and migratory corridors for protected and threatened species as well as fishery resources, while also revealing substantial spatial overlaps between conservation priorities and human activities, particularly in nearshore zones. The optimized zoning scheme classifies 22.0% of the coastal waters as Ecological Redline Zones, 32.4% as Ecological Control Zones, and 45.6% as Marine Exploitation Zones. This science-based spatial classification effectively reconciles ecological priorities with development needs, providing a spatially explicit and policy-relevant decision support tool for MSP.
- 4 November 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (21) , 9851
Open AccessMulti-Objective Spatial Suitability Evaluations for Marine Spatial Planning Optimization in Dalian Coast, China
Marine spatial planning (MSP) has emerged as a fundamental process for achieving the balanced development of marine ecology, economy, and society. However, increasing conflicts among multiple marine uses, particularly between port development, industrial activities, fisheries, recreation, and ecological protection, highlight the pressing demand for robust and science-based planning tools. In this study, we propose an integrated analytical framework for multi-objective spatial suitability evaluation to optimize MSP. Using the coastal waters of Dalian, China, as a case study, we evaluated the spatial suitability of five key marine activities (ecological protection, mariculture, port construction, wind energy farm development, and coastal tourism) and applied a multi-criteria decision-making approach to inform spatial zoning. The results emphasize the region’s ecological significance as providing critical habitats and migratory corridors for protected and threatened species as well as fishery resources, while also revealing substantial spatial overlaps between conservation priorities and human activities, particularly in nearshore zones. The optimized zoning scheme classifies 22.0% of the coastal waters as Ecological Redline Zones, 32.4% as Ecological Control Zones, and 45.6% as Marine Exploitation Zones. This science-based spatial classification effectively reconciles ecological priorities with development needs, providing a spatially explicit and policy-relevant decision support tool for MSP.