Integrating Environmental Drivers and Trophic Interactions to Predict Spatial Distribution of High-Risk Marine Organisms at Nuclear Power Plant Cooling Water Intake.

IF 2.7 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Animals Pub Date : 2026-04-21 DOI:10.3390/ani16081275
Yunlei Zhang, Xinyue Hu, Linquan Cao, Guize Liu, Changchun Song, Yuan Jin
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引用次数: 0

Abstract

Marine organisms that episodically aggregate near coastal nuclear power plant water intakes pose a substantial risk to cooling water security. Predicting the spatial distribution of such high-risk species remains challenging because their occurrence is shaped not only by environmental conditions but also by complex trophic interactions. In this study, we model the habitat distribution of three high-risk nektonic species, Dotted gizzard shad (Konosirus punctatus), Japanese swimming crab (Charybdis japonica) and squid (Loligo sp.), in the cooling water intake area of a coastal nuclear power plant in eastern Liaodong Bay using generalized linear models (GLMs) and joint species distribution models (JSDMs). Based on summer surveys conducted in 2024-2025, we explicitly incorporated trophic linkages among target species, their prey, and predators within JSDMs. Model performance was evaluated using cross-validation based on AUC, RMSE, and coefficient of determination (R2). Our results indicate that water depth was the dominant environmental driver for all three species, while chlorophyll-a concentration and distance to the intake exerted species-specific effects. By incorporating interspecific trophic associations and environmental responses, JSDMs showed consistently improved predictive performance relative to GLMs, with approximately 1.5-fold higher R2 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.

综合环境驱动因素和营养相互作用预测核电站冷却水入口高风险海洋生物的空间分布。
海洋生物偶尔聚集在沿海核电站取水口附近,对冷却水安全构成重大威胁。预测这些高风险物种的空间分布仍然具有挑战性,因为它们的发生不仅受到环境条件的影响,还受到复杂的营养相互作用的影响。本研究采用广义线性模型(GLMs)和联合物种分布模型(JSDMs)对辽东湾东部沿海核电站冷却水取水区3种高风险水生物种——点棘鱼(Konosirus punctatus)、日本梭子蟹(Charybdis japonica)和鱿鱼(Loligo sp.)的栖息地分布进行了建模。基于2024-2025年的夏季调查,我们明确地将目标物种、猎物和捕食者之间的营养联系纳入了JSDMs中。采用基于AUC、RMSE和决定系数(R2)的交叉验证来评估模型的性能。结果表明,水体深度是三种植物的主要环境驱动因素,而叶绿素-a浓度和离取水点的距离则是物种特异性的影响因素。通过纳入种间营养关联和环境响应,JSDMs相对于GLMs表现出持续提高的预测性能,R2值提高约1.5倍,RMSE降低10-30%,同时具有增强的生态可解释性。这些模型揭示了目标物种与低营养猎物和高营养捕食者之间强烈的正相关关系,表明自上而下和自下而上的过程共同调节了聚集动力学。该研究表明,将营养相互作用整合到物种分布模型中,大大提高了对沿海基础设施附近高风险海洋物种的预测,并为冷却水取水系统的主动管理提供了生态基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Animals
Animals Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
4.90
自引率
16.70%
发文量
3015
审稿时长
20.52 days
期刊介绍: Animals (ISSN 2076-2615) is an international and interdisciplinary scholarly open access journal. It publishes original research articles, reviews, communications, and short notes that are relevant to any field of study that involves animals, including zoology, ethnozoology, animal science, animal ethics and animal welfare. However, preference will be given to those articles that provide an understanding of animals within a larger context (i.e., the animals'' interactions with the outside world, including humans). There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental details and/or method of study, must be provided for research articles. Articles submitted that involve subjecting animals to unnecessary pain or suffering will not be accepted, and all articles must be submitted with the necessary ethical approval (please refer to the Ethical Guidelines for more information).
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