Integrating Environmental Drivers and Trophic Interactions to Predict Spatial Distribution of High-Risk Marine Organisms at Nuclear Power Plant Cooling Water Intake
values and 10-30% lower RMSE, while offering enhanced ecological interpretability. The models revealed strong positive associations between target species and both lower-trophic prey and higher-trophic predators, suggesting that top-down and bottom-up processes jointly regulate aggregation dynamics. This study demonstrates that integrating trophic interactions into species distribution modeling substantially improves predictions of high-risk marine species near coastal infrastructure and provides an ecological basis for proactive management of cooling water intake systems.
Authors
- Linquan Cao
- Guize Liu
- Zhuo Song
- Yuan Jin
- Yunlei Zhang
- Xinyue Hu
Institutions
- Dalian University of Technology (CN)
- Dalian University (CN)
- China National Environmental Monitoring Center (CN)
- National Marine Environmental Monitoring Center
Publication Details
- Journal
- Animals
- Published
- 2026-04-21
- DOI
- https://doi.org/10.3390/ani16081275
- Primary Topic
- Cephalopods and Marine Biology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Liaoning Province