MARBEC, Univ Montpellier, Ifremer, CNRS, IRD, Sète, France.
MARBEC, Univ Montpellier, Ifremer, CNRS, IRD, Sète, France.
Mar Pollut Bull. 2023 Sep;194(Pt B):115318. doi: 10.1016/j.marpolbul.2023.115318. Epub 2023 Aug 3.
Multifactorial studies assessing the cumulative effects of natural and anthropogenic stressors on individual stress response are crucial to understand how organisms and populations cope with environmental change. We tested direct and indirect causal pathways through which environmental stressors affect the stress response of wild gilthead seabream in Mediterranean costal lagoons using an integrative PLS-PM approach. We integrated information on 10 environmental variables and 36 physiological variables into seven latent variables reflecting lagoons features and fish health. These variables concerned fish lipid reserves, somatic structure, inorganic contaminant loads, and individual trophic and stress response levels. This modelling approach allowed explaining 30 % of the variance within these 46 variables considered. More importantly, 54 % of fish stress response was explained by the dependent lagoon features, fish age, fish diet, fish reserve, fish structure and fish contaminant load latent variables included in our model. This integrative study sheds light on how individuals deal with contrasting environments and multiple ecological pressures.
多因素研究评估自然和人为压力源对个体应激反应的累积影响对于了解生物和种群如何应对环境变化至关重要。我们使用集成的 PLS-PM 方法测试了环境压力源通过哪些直接和间接的因果途径影响地中海沿海泻湖中野生金头鲷的应激反应。我们将 10 个环境变量和 36 个生理变量的信息整合到反映泻湖特征和鱼类健康的七个潜在变量中。这些变量涉及鱼类的脂质储备、体结构、无机污染物负荷以及个体营养和应激反应水平。这种建模方法可以解释我们模型中考虑的这 46 个变量的 30%的方差。更重要的是,54%的鱼类应激反应可以通过依赖的泻湖特征、鱼类年龄、鱼类饮食、鱼类储备、鱼类结构和鱼类污染物负荷潜变量来解释,这些潜变量包含在我们的模型中。这项综合性研究揭示了个体如何应对不同的环境和多种生态压力。