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描述户外水生中观生态系统动态的模式和可变性:探索数据支持水生系统模型的能力和挑战。

Characterization of patterns and variability in the dynamics of outdoor aquatic mesocosms: exploring the capabilities and challenges in data supporting aquatic system models.

机构信息

Mesocosm GmbH, Homberg (Ohm), Hesse, Germany.

Waterborne Environmental, Leesburg, VA, USA.

出版信息

Ecotoxicology. 2023 Aug;32(6):782-801. doi: 10.1007/s10646-023-02685-0. Epub 2023 Jul 25.

Abstract

Aquatic mesocosms are complex test systems used within regulatory risk assessment of plant protection products. These model ecosystems allow researchers to capture interactions of multiple species under realistic environmental conditions. They enable assessment of direct and indirect effects of stressors at all trophic levels (i.e., from primary producers to secondary consumers) and impacts on ecosystem functions. Due to the limited ability to test the multitude of potential exposure scenarios, cross-linking aquatic mesocosm studies with virtual mesocosms, i.e., aquatic system models (ASMs), can serve to meet the demand for more environmental realism and ecological relevance in risk assessment. In this study, full control data sets from seven aquatic mesocosm studies conducted at a single test facility under GLP were analysed graphically and using descriptive statistics. Thereby, not only a comprehensive data base but also an insight into the species present, their dynamics over time, and variability in unchallenged mesocosms was observed. While consistency in dynamics could be discerned for physical and chemical parameters, variability was evident for several biological endpoints. This variability points to amplification of small differences over time as well as to stochastic processes. The outline of existing gaps and uncertainties in data leads to the estimation of what can be expected to be captured and predicted by ASMs.

摘要

水生中观系统是在植物保护产品监管风险评估中使用的复杂测试系统。这些模型生态系统允许研究人员在现实环境条件下捕获多种物种的相互作用。它们能够评估所有营养级(即从初级生产者到次级消费者)的直接和间接胁迫效应以及对生态系统功能的影响。由于测试大量潜在暴露场景的能力有限,将水生中观系统研究与虚拟中观系统(即水生系统模型)相联系,可以满足风险评估中对更多环境现实性和生态相关性的需求。在这项研究中,对在 GLP 下在单个测试设施中进行的七项水生中观系统研究的完整对照数据集进行了图形和描述性统计分析。因此,不仅观察到了综合数据库,还观察到了存在的物种、它们随时间的动态变化以及未受挑战的中观系统中的变异性。虽然物理和化学参数的动态一致性可以被辨别出来,但几个生物学终点的变异性是明显的。这种可变性表明随着时间的推移,小差异会被放大,并且会出现随机过程。现有数据差距和不确定性的概述导致对可以预期被水生系统模型捕获和预测的内容进行估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cda/10449964/1a59ec64e7c6/10646_2023_2685_Fig1_HTML.jpg

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