Trophic triage: a tiered eutrophication vulnerability screening tool for lakes in sparsely monitored regions

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
L. Johnston, A. Hiscock, B. Holmes, T. Bermarija, R Scott, A. Sinclair, R. Jamieson
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引用次数: 2

Abstract

Abstract Johnston L, Hiscock A, Holmes B, Bermarija T, Scott R, Sinclair A, Jamieson R. 2020. Trophic triage: a tiered eutrophication vulnerability screening tool for lakes in sparsely monitored regions. Lake Reserv Manage. 37:214–226. Eutrophication and the occurrence of harmful algal blooms (HABs) have been observed in lakes throughout North America. Here, we developed a high-level lake screening tool for characterizing eutrophication vulnerability in sparsely monitored regions. The screening tool involves a desktop study (Tier 1) to classify the vulnerability of lakes to eutrophication as either low, moderate, or high vulnerability. A subset of lakes is then identified from this initial assessment for a preliminary water quality sampling program to confirm the desktop evaluation (Tier 2). From this evaluation, lakes in a final subset undergo a comprehensive sampling program to establish final vulnerability levels (Tier 3). The screening tool was initially developed and demonstrated for lakes within the Municipality of Cumberland County, Nova Scotia, Canada. Five lakes, spanning a range of land uses, morphologies, and watershed settings, were subjected to a detailed water quality monitoring program to help refine factors and thresholds in the screening tool. Tier 2 and Tier 3 were then applied to the 5 study lakes to demonstrate the complete screening process. Tier 1 of the screening tool was further validated on an additional 29 lakes in Nova Scotia, and performed as intended for the majority of lakes, predicting the same or higher trophic state than the one currently measured for 25 of the 29 lakes. For the 4 lakes with trophic states that were underpredicted, the vulnerability level was still correctly predicted. The screening tool proved to be a robust approach for identifying lakes that are vulnerable to eutrophication, and for prioritizing monitoring activities.
营养分类:监测稀少地区湖泊富营养化脆弱性分级筛查工具
摘要Johnston L,Hiscock A,Holmes B,Bermarija T,Scott R,Sinclair A,Jamieson R.2020。营养分类:一种针对监测稀少地区湖泊的分层富营养化脆弱性筛查工具。湖泊保护区管理。37:214–226。在整个北美的湖泊中都观察到了富营养化和有害藻华的发生。在这里,我们开发了一个高水平的湖泊筛查工具,用于表征监测稀少地区的富营养化脆弱性。筛选工具包括一项桌面研究(第1层),将湖泊对富营养化的脆弱性分为低、中或高脆弱性。然后从初步水质采样计划的初始评估中确定湖泊的子集,以确认桌面评估(第2层)。根据该评估,最终子集中的湖泊将接受全面的采样计划,以确定最终的脆弱性水平(第3级)。该筛查工具最初是为加拿大新斯科舍省坎伯兰县的湖泊开发和演示的。五个湖泊涵盖了一系列土地用途、形态和流域设置,它们都接受了详细的水质监测计划,以帮助完善筛选工具中的因素和阈值。然后将第2层和第3层应用于5个研究湖泊,以证明完整的筛选过程。在新斯科舍省的另外29个湖泊上进一步验证了筛选工具的一级,并按预期对大多数湖泊进行了筛选,预测了与目前29个湖泊中25个湖泊的营养状态相同或更高的营养状态。对于4个营养状态预测不足的湖泊,脆弱性水平仍然得到了正确预测。事实证明,筛选工具是一种强有力的方法,可以识别易受富营养化影响的湖泊,并确定监测活动的优先次序。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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