Small-scale experiments: Using mesocosms and microcosms for testing hypotheses in treatment wetland research

IF 3.9 2区 环境科学与生态学 Q1 ECOLOGY Ecological Engineering Pub Date : 2024-09-02 DOI:10.1016/j.ecoleng.2024.107378
Jacques Brisson , Pedro Carvalho , Otto Stein , Kela Weber , Hans Brix , Yaqian Zhao , Florentina Zurita
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Abstract

Small-scale experiments have been conducted to investigate a wide range of factors suspected to influence treatment wetland (TW) functions and efficiency. One crucial advantage microcosms and mesocosms offer over field-scale systems is that they enable reproduction of experimental treatment units that are as similar as possible, only varying the factor(s) of interest. The goal of this paper is to discuss key methodological issues to consider, as well as the overall potential and limitations of using small-scale experiments as applied specifically to TW research. Planning a successful small-scale experiment to address a scientific question in TW science involves several key decisions to reach the project's goal. Due to financial, space or resources constraints, it is fundamental at the planning stage to carefully determine a suitable compromise between unit size, number of units, number of treatments (both in terms of number of variables and number of levels within each variable) and replication. Producing, properly storing and rigorously distributing the same volume or flow rate of wastewater to each unit is often the most challenging and time-consuming aspect of a small-scale TW experiment. Unavoidable sources of bias inherent in small-scale models must be identified, and when possible, minimized. Small-scale experiments for treatment wetlands can only take on full meaning when the insights obtained through them inform full-scale operations.

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小规模实验:在湿地处理研究中使用中型模式和微型模式检验假设
已经进行了小规模实验,以调查被怀疑会影响处理湿地 (TW) 功能和效率的各种因素。与实地尺度系统相比,微观池塘和中观池塘具有的一个重要优势是,它们可以复制尽可能相似的实验处理单元,只需改变相关因素即可。本文旨在讨论需要考虑的关键方法问题,以及专门用于 TW 研究的小规模实验的总体潜力和局限性。规划一个成功的小规模实验来解决 TW 科学中的科学问题,涉及到实现项目目标的几个关键决策。由于资金、空间或资源的限制,在规划阶段,最根本的是要仔细确定单位大小、单位数、处理数(变量数和每个变量中的水平数)和复制之间的适当折衷。在小规模 TW 实验中,生产、适当储存并严格分配给每个单元相同体积或流量的废水往往是最具挑战性且最耗时的环节。必须找出小规模模型固有的不可避免的偏差来源,并在可能的情况下将其最小化。处理湿地的小规模实验只有在为大规模运行提供启示时,才能具有充分的意义。
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来源期刊
Ecological Engineering
Ecological Engineering 环境科学-工程:环境
CiteScore
8.00
自引率
5.30%
发文量
293
审稿时长
57 days
期刊介绍: Ecological engineering has been defined as the design of ecosystems for the mutual benefit of humans and nature. The journal is meant for ecologists who, because of their research interests or occupation, are involved in designing, monitoring, or restoring ecosystems, and can serve as a bridge between ecologists and engineers. Specific topics covered in the journal include: habitat reconstruction; ecotechnology; synthetic ecology; bioengineering; restoration ecology; ecology conservation; ecosystem rehabilitation; stream and river restoration; reclamation ecology; non-renewable resource conservation. Descriptions of specific applications of ecological engineering are acceptable only when situated within context of adding novelty to current research and emphasizing ecosystem restoration. We do not accept purely descriptive reports on ecosystem structures (such as vegetation surveys), purely physical assessment of materials that can be used for ecological restoration, small-model studies carried out in the laboratory or greenhouse with artificial (waste)water or crop studies, or case studies on conventional wastewater treatment and eutrophication that do not offer an ecosystem restoration approach within the paper.
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