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首页> 外文期刊>Environmental toxicology and chemistry >A Hybrid Individual‐Based and Food Web–Ecosystem Modeling Approach for Assessing Ecological Risks to the Topeka Shiner (Notropis topeka): A Case Study with Atrazine
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A Hybrid Individual‐Based and Food Web–Ecosystem Modeling Approach for Assessing Ecological Risks to the Topeka Shiner (Notropis topeka): A Case Study with Atrazine

机译：基于个体和食品网络的混合生态系统建模方法，评估托皮卡霜（Notropis topeka）的生态风险：阿特拉津的案例研究

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A hybrid model was used to characterize potential ecological risks posed by atrazine to the endangered Topeka shiner. The model linked a Topeka shiner individual-based bioenergetics population model (TS-IBM) to a comprehensive aquatic system model (CASM(TS)) to simulate Topeka shiner population and food web dynamics for an Iowa (USA) headwater pool. Risks were estimated for monitored concentrations in Iowa, Missouri, and Nebraska (USA), and for monitored concentrations multiplied by 2, 4, and 5. Constant daily atrazine concentrations of 10, 50, 100, and 250 mu g/L were assessed. Exposure-response functions were developed from published atrazine toxicity data (median effect concentrations [EC50s] and no-observed-effect concentrations). Two toxicity scenarios were developed: the first included sensitive and insensitive species of algae, and the second reduced algal EC50 values to increase atrazine sensitivity. Direct and indirect effects of atrazine on Topeka shiner prey were modeled; direct effects on Topeka shiner were not assessed. Risks were characterized as differences between population biomass values of 365-d baseline and exposure simulations. The results indicated no discernable food web effects for monitored atrazine concentrations or constant exposures of 10 mu g/L on Topeka shiner populations for either toxicity scenario. Magnified monitored concentrations and higher constant concentrations produced greater modeled indirect effects on Topeka shiners. The hybrid model transparently combines species-specific and surrogate species data to estimate food web responses to environmental stressors. The model is readily updated by new data and is adaptable to other species and ecosystems. Environ Toxicol Chem 2019;00:1-16. (c) 2019 SETAC
机译：使用混合模型来表征阿特拉津对濒临灭绝的托皮卡光亮剂造成的潜在生态风险。该模型将基于Topeka光泽的个体生物能源种群模型（TS-IBM）与综合水生系统模型（CASM（TS））链接起来，以模拟爱荷华州（美国）上游水域的Topeka光泽的种群和食物网动态。估计了在爱荷华州，密苏里州和内布拉斯加州（美国）的监测浓度以及监测浓度乘以2、4和5的风险。评估得出阿特拉津的每日稳定浓度分别为10、50、100和250μg / L。暴露-反应功能是根据已发布的阿特拉津毒性数据（中值浓度[EC50]和未观察到的浓度）开发的。开发了两种毒性方案：第一种包括藻类的敏感和不敏感物种，第二种是降低藻类EC50值以增加阿特拉津的敏感性。模拟了阿特拉津对托皮卡发光猎物的直接和间接作用。没有评估对托皮卡光亮剂的直接影响。风险的特征是365天基线的种群生物量值与暴露模拟之间的差异。结果表明，无论哪种毒性情况，对于监测的r去津浓度或托普卡光泽剂种群持续暴露10μg / L，都没有明显的食物网效应。放大的监测浓度和较高的恒定浓度会对Topeka发光剂产生更大的模型间接影响。混合模型透明地组合了特定物种和替代物种数据，以估计食物网对环境压力源的响应。该模型可以通过新数据轻松更新，并适用于其他物种和生态系统。 Environ Toxicol Chem 2019; 00：1-16。 （c）2019年SETAC

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