Multi-Objective Spatial Suitability Evaluations for Marine Spatial Planning Optimization in Dalian Coast, China

Lu Yang, Wenhai Lu (), Jie Liu, Zhaoyang Liu, Angel Borja, Yijun Tao, Xiaoli Wang, Rong Zeng, Guocheng Zuo and Tao Wang
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Lu Yang: Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
Wenhai Lu: Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
Jie Liu: Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
Zhaoyang Liu: Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
Angel Borja: AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), 20110 Pasaia, Spain
Yijun Tao: Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
Xiaoli Wang: Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
Rong Zeng: Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
Guocheng Zuo: Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China
Tao Wang: Division of Marine Ecology, National Marine Data and Information Service, Tianjin 300171, China

Sustainability, 2025, vol. 17, issue 21, 1-17

Abstract: 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.

Keywords: spatial suitability evaluation; marine spatial planning; zoning optimization; multi-criteria decision-making analysis; Dalian (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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