Author
Listed:
- Yilong Luo
(Operational Oceanography Institute (OOI), Dalian Ocean University, Dalian 116023, China
College of Marine Science Technology and Environment, Dalian Ocean University, Dalian 116023, China
Liaoning Key Laboratory of Marine Real-Time Warning, Dalian 116023, China
Dalian Technology Innovation Center for Operational Oceanography, Dalian 116023, China)
- Haoze Wang
(Operational Oceanography Institute (OOI), Dalian Ocean University, Dalian 116023, China
College of Marine Science Technology and Environment, Dalian Ocean University, Dalian 116023, China
Liaoning Key Laboratory of Marine Real-Time Warning, Dalian 116023, China
Dalian Technology Innovation Center for Operational Oceanography, Dalian 116023, China)
- Baokang Xing
(Operational Oceanography Institute (OOI), Dalian Ocean University, Dalian 116023, China
College of Marine Science Technology and Environment, Dalian Ocean University, Dalian 116023, China
Liaoning Key Laboratory of Marine Real-Time Warning, Dalian 116023, China
Dalian Technology Innovation Center for Operational Oceanography, Dalian 116023, China)
- Quan Liu
(Operational Oceanography Institute (OOI), Dalian Ocean University, Dalian 116023, China
College of Marine Science Technology and Environment, Dalian Ocean University, Dalian 116023, China
Liaoning Key Laboratory of Marine Real-Time Warning, Dalian 116023, China
Dalian Technology Innovation Center for Operational Oceanography, Dalian 116023, China)
- Xigang Liu
(Dalian Marine Center of the Ministry of Natural Resources, Dalian 116023, China)
- Rui Yan
(Operational Oceanography Institute (OOI), Dalian Ocean University, Dalian 116023, China
College of Marine Science Technology and Environment, Dalian Ocean University, Dalian 116023, China
Liaoning Key Laboratory of Marine Real-Time Warning, Dalian 116023, China
Dalian Technology Innovation Center for Operational Oceanography, Dalian 116023, China)
- Ming Liu
(Operational Oceanography Institute (OOI), Dalian Ocean University, Dalian 116023, China
College of Marine Science Technology and Environment, Dalian Ocean University, Dalian 116023, China
Liaoning Key Laboratory of Marine Real-Time Warning, Dalian 116023, China
Dalian Technology Innovation Center for Operational Oceanography, Dalian 116023, China)
Abstract
During urbanization, human activities have induced significant transformations in land use, leading to a huge imbalance in economic growth and nature development, posing severe threats to ecosystems. How to construct a stable and continuous ecological security pattern (ESP) in vulnerable areas like the Liaohe River Basin in Liaoning section has become a crucial challenge for regional management while facing the constraints of habitat fragmentation and the loss of landscape connectivity on sustainable development. Most research on ESP mainly relies on current situation or single scenario predictions, this study developed a “current assessment-future prediction-pattern optimization” framework. By simulating and comparing four distinct policy-oriented scenarios for 2030—Natural Development (ND), Cropland Protection (CP), Ecological Protection (EP), and Ecosystem-Service-Importance-Based Sustainable Development (ESIS)—this study aims to: (1) reveal the differentiated impacts of various policy orientations on future land use patterns; (2) compare the spatial evolution of ecological sources, resistance surfaces, ecological corridors, and key nodes between 2020 and under each 2030 scenario; and (3) synthesize an optimized ESP. This ESP is designed to balance economic and ecological needs, ultimately providing a scientific basis for watershed management. Furthermore, based on the simulation results, we propose a spatially explicit and adaptive management strategy termed the “one ribbon, two zones” pattern to guide the implementation of the optimized ESP within the basin.
Suggested Citation
Yilong Luo & Haoze Wang & Baokang Xing & Quan Liu & Xigang Liu & Rui Yan & Ming Liu, 2026.
"Advancing Watershed Sustainability: A Multi-Scenario Approach to Ecological Security Pattern Optimization in the Liaohe River Basin, China,"
Sustainability, MDPI, vol. 18(4), pages 1-32, February.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:4:p:2092-:d:1868059
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