Dataset for: The unexpected absence of nickel effects on a <i>Daphnia</i> population at three temperatures is correctly predicted by a dynamic energy budget individual-based model (DEB-IBM)

Recent studies have shown that temperature affects chronic Ni toxicity to <i>Daphnia magna</i> at the individual (apical) level. However, the effect of temperature on Ni toxicity to <i>D. magna</i> at population-level is unknown. The present study investigated whether the effect of temperature on chronic Ni toxicity to <i>D. magna</i> assessed on apical endpoints can be extrapolated to the population-level. The results of the performed population experiment showed no consistent Ni effects on total <i>D. magna</i> population abundance at 15, 20 and 25ºC although the Ni concentrations tested were previously reported to significantly reduce reproduction in <i>D. magna</i> individuals. This result supports the idea that ecological risk assessment should not extrapolate as such from apical endpoints to the population-level. A Dynamic Energy Budget Individual-Based Model (DEB-IBM) was calibrated using apical Ni toxicity data at 15, 20 and 25°C. The goal was to investigate whether the calibrated DEB-IBM would be able to predict the unexpected absence of effects at population-level and to further investigate the effect of temperature on Ni toxicity to a <i>D. magna</i> population. At the population level, the calibrated DEB-IBM correctly predicted the unexpected absence of Ni effect to a <i>D. magna</i> population. Extrapolated EC50 values for population density predicted that the effect of temperature on Ni toxicity to <i>D. magna</i> populations was smaller (1.9-fold higher at 25°C than at 15°C) than on Ni toxicity to <i>D. magna</i> apical reproduction (the EC50 is 6.5-fold higher at 25°C than at 15°C, previous study). These results show that the DEB-IBM can help to replace population experiments by <i>in silico</i> simulations and to optimize the experimental design of population studies.

已有研究表明，温度可在个体（顶端）水平上影响镍（Nickel, Ni）对大型溞（*Daphnia magna*）的慢性毒性。然而，目前尚不清楚温度对种群水平下镍毒性影响大型溞的效应。本研究旨在探究：以顶端效应终点（apical endpoints）评估的温度对大型溞镍慢性毒性的影响，是否可外推至种群水平。种群实验结果显示，在15、20与25℃条件下，镍对大型溞总种群丰度未表现出一致效应；尽管此前已有研究表明，所用试验浓度的镍可显著抑制大型溞个体的繁殖能力。该结果佐证了一个观点：生态风险评估不应直接将顶端效应终点的结果外推至种群水平。本研究基于15、20与25℃下的镍毒性个体顶端效应数据，对动态能量收支个体模型（Dynamic Energy Budget Individual-Based Model, DEB-IBM）进行了校准。本研究的目标为：验证校准后的DEB-IBM能否预测种群水平下未出现预期毒性效应的现象，并进一步探究温度对镍毒性影响大型溞种群的效应。在种群水平上，校准后的DEB-IBM准确预测了镍未对大型溞种群产生预期毒性效应的现象。针对种群密度外推得到的半最大效应浓度（EC50）预测结果显示：温度对镍毒性影响大型溞种群的效应较弱（25℃下的EC50较15℃仅高1.9倍），而温度对镍毒性影响大型溞个体顶端繁殖的效应则更强（此前研究显示25℃下的EC50较15℃高6.5倍）。上述结果表明，DEB-IBM可通过虚拟模拟（in silico simulations）替代种群实验，并优化种群研究的实验设计。

搜集汇总

背景与挑战

背景概述

该数据集支持一项研究，探讨温度对镍在大型溞（Daphnia magna）种群水平毒性效应的影响。研究发现，在15、20和25°C下，镍未对种群丰度产生一致影响，尽管个体繁殖受抑制；动态能量预算个体模型（DEB-IBM）成功预测了这一无效应现象，并揭示温度对种群毒性的影响小于个体水平。数据集包含模型文件和原始数据，用于模拟和验证。