模拟铜对溪鱼 (Salvelinus fontinalis) 种群的整个生命周期影响
Sharon D Janssen1, Karel P J Viaene2, Patrick Van Sprang2
1Laboratory of Environmental Toxicology and Aquatic Ecology, Environmental Toxicology Unit, Ghent University, Campus Coupure, Ghent, Belgium.
Environmental toxicology and chemistry
|May 28, 2024
概括
溪 (Salvelinus fontinalis) 种群的毒性预测可能被低估,如果仅基于生命早期阶段的数据. 包括整个生命周期的影响对于准确的铜 (Cu) 人口水平风险评估至关重要.
科学领域:
- 环境毒理学环境毒理学
- 人口生态学 人口生态学
- 生态毒理学 生态毒理学
背景情况:
- 种群模型对于预测对野生动物的化学影响至关重要.
- 鱼毒性数据通常集中在生命早期阶段,可能缺少人口层面的关键影响.
- 铜 (Cu) 是一种常见的环境污染物,影响水生生物.
研究的目的:
- 预测铜对溪鱼 (Salvelinus fontinalis) 的种群级影响.
- 为了比较基于整个生命周期和早期生命阶段毒性数据的预测.
- 评估不同建模方法 (个人耐受性与随机死亡,连续与临时增长效应) 对人口预测的影响.
主要方法:
- 利用来自鱼生命周期研究和生命早期阶段研究的个体级毒性数据.
- 采用种群模型来预测鱼密度和无观察效应度 (NOECpop).
- 对死亡和生长效应的不同实施方法进行了比较,以评估不确定性.
主要成果:
- 使用完整生命周期数据的种群模型预测了较低的NOECpop (9.5μg/L),而不是仅基于生命早期阶段 (≥32.5μg/L) 的模型.
- 随机死亡模型显示,年轻鱼的NOECpop值低于老鱼的NOECpop值.
- 仅对生命早期阶段的预测导致NOECpop值显著更高,表明潜在的毒性低估.
结论:
- 当仅依赖生命早期阶段数据时,对鱼种群的毒性预测可能会被严重低估.
- 将整个生命周期的影响纳入人口模型对于准确的生态毒理风险评估至关重要.
- 对死亡和增长的模型实施方法可以影响人口水平的预测,强调需要仔细考虑不确定性.
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