Riverine species have adapted to their environment, particularly to the hydrological regime. Hydrological models and the knowledge of species preferences are used to predict the impact of hydrological changes on species. Inevitably, hydrological model performance impacts how species are simulated. From the example of macroinvertebrates in a lowland and a mountainous catchment, we investigate the impact of hydrological model performance and the choice of the objective function based on a set of 36 performance metrics for predicting species occurrences. Besides species abundance, we use the simulated community structure for an ecological assessment as applied for the Water Framework Directive. We investigate when a hydrological model is sufficiently calibrated to depict species abundance. For this, we postulate that performance is not sufficient when ecological assessments based on the simulated hydrology are significantly different (analysis of variance, p < .05) from the ecological assessments based on observations. The investigated range of hydrological model performance leads to considerable variability in species abundance in the two catchments. In the mountainous catchment, links between objective functions and the ecological assessment reveal a stronger dependency of the species on the discharge regime. In the lowland catchment, multiple stressors seem to mask the dependence of the species on discharge. The most suitable objective functions to calibrate the model for species assessments are the ones that incorporate hydrological indicators used for the species prediction.

中文翻译：

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什么时候可以充分校准水文模型来描述河流物种的流量偏好？

河流物种已适应其环境，特别是适应水文状况。水文模型和物种偏好知识可用于预测水文变化对物种的影响。水文模型的性能不可避免地会影响物种的模拟方式。以低地和山区流域的大型无脊椎动物为例，我们基于一组36种预测物种发生的性能指标，研究了水文模型性能的影响和目标函数的选择。除物种丰富度外，我们还将模拟的群落结构用于水框架指令中的生态评估。我们调查何时对水文模型进行了充分校准以描述物种丰富度。为了这，p <.05）来自基于观测的生态评估。水文模型性能的研究范围导致两个流域物种丰富度的显着变化。在山区流域，目标功能与生态评估之间的联系揭示了物种对排放制度的依赖性更大。在低地流域，多重胁迫似乎掩盖了物种对排放的依赖性。校准用于物种评估的模型的最合适的目标函数是那些用于物种预测的水文指标。