利用室外生态系统数据进行生态风险评估的水生系统模型比较,第一部分:方法学。

IF 8.4 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Chiara Accolla, Amelie Schmolke, Nika Galic, Steve Bartell, Daniel Dawson, Klaus Peter Ebke, Jana Gerhard, Analise Lindborg, Ann-Kathrin Loerracher, Isabel O'Connor, Robert Pastorok, Damian Preziosi, Brandon Sackmann, Jürgen Schmidt, Conner Schultz, Nele Schuwirth, Tido Strauss, Roman Ashauer
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引用次数: 0

摘要

中生态系统研究是在更高层次的生态风险评估(ERAs)的背景下进行的,以整合环境条件并研究农业景观水体中的物种相互作用。水生系统模型(asm)可以提供工具,将中生态系统研究中观察到的化学物质的动力学和效应外推到更广泛的环境条件和暴露情景。在本文中,我们介绍了将四种asm (Aquatox, CASM, StoLaM+, Streambugs)应用于中生态研究数据的环研究方法,而环研究的结果在与本手稿一起发表的配套论文中提出。本研究旨在测试asm表征中观数据的可行性和能力,并评估这些模型是否可以作为ERAs中观实验的扩展。环研究方法允许模型比较,并确定模型在控制和处理中游研究中代表生态系统动力学的优势和局限性。在此基础上,对模型所代表的中生态系统分类群进行了物种分类,并建立了一致的营养网,以确保模型之间的一致性。我们制定了控制和效果校准标准,以评估和比较每个物种组的模型性能,明确考虑了中观数据的可变性。我们提出的方法和挑战在使用中观数据通知建模方法进行了讨论。最后,我们对未来的研究提出了建议,以促进中观模型的发展,以支持ERAs。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of aquatic system models using outdoor mesocosm data for ecological risk assessment, part I: methodology.

Mesocosm studies are conducted in the context of higher-tier ecological risk assessments (ERAs) to integrate environmental conditions and study species interactions within waterbodies in agricultural landscapes. Aquatic system models (ASMs) could provide tools to extrapolate the dynamics and effects of chemicals observed in mesocosm studies to a wider range of environmental conditions and exposure scenarios. In this paper, we present the methodology of a ring study with four ASMs (Aquatox, CASM, StoLaM+, Streambugs) applied to data from mesocosm studies, while the results of the ring study are presented in a companion paper published alongside this manuscript. The ring study aimed to test the feasibility and capability of ASMs to represent mesocosm data and to evaluate if such models can be used as an extension of mesocosm experiments in ERAs. The ring study methodology allowed for model comparison and identified models' strengths and limitations in representing the ecosystem dynamics in control and treated mesocosm studies. Groups of species were defined to map the diversity of the mesocosm ecosystem in the taxa represented by the models, and a consensus trophic web was agreed upon to ensure harmonization among the models. Control and effect calibration criteria were developed to evaluate and compare model performances for each species group, explicitly considering the variability in mesocosm data. Our proposed methodologies and the challenges in using mesocosm data to inform modeling approaches are discussed. Finally, we derived recommendations for future research to facilitate the development of models representing mesocosms to support ERAs.

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来源期刊
Integrated Environmental Assessment and Management
Integrated Environmental Assessment and Management ENVIRONMENTAL SCIENCESTOXICOLOGY&nbs-TOXICOLOGY
CiteScore
5.90
自引率
6.50%
发文量
156
期刊介绍: Integrated Environmental Assessment and Management (IEAM) publishes the science underpinning environmental decision making and problem solving. Papers submitted to IEAM must link science and technical innovations to vexing regional or global environmental issues in one or more of the following core areas: Science-informed regulation, policy, and decision making Health and ecological risk and impact assessment Restoration and management of damaged ecosystems Sustaining ecosystems Managing large-scale environmental change Papers published in these broad fields of study are connected by an array of interdisciplinary engineering, management, and scientific themes, which collectively reflect the interconnectedness of the scientific, social, and environmental challenges facing our modern global society: Methods for environmental quality assessment; forecasting across a number of ecosystem uses and challenges (systems-based, cost-benefit, ecosystem services, etc.); measuring or predicting ecosystem change and adaptation Approaches that connect policy and management tools; harmonize national and international environmental regulation; merge human well-being with ecological management; develop and sustain the function of ecosystems; conceptualize, model and apply concepts of spatial and regional sustainability Assessment and management frameworks that incorporate conservation, life cycle, restoration, and sustainability; considerations for climate-induced adaptation, change and consequences, and vulnerability Environmental management applications using risk-based approaches; considerations for protecting and fostering biodiversity, as well as enhancement or protection of ecosystem services and resiliency.
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