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Effect of Weather-Related Episodic Events over Chlorophyll-a In a Shallow Lake: an Analysis Based on High-Frequency Data
Water Resources ( IF 0.9 ) Pub Date : 2021-07-27 , DOI: 10.1134/s0097807821040060
Josefina Zunino 1 , María Belén Alfonso 1 , Alejandro José Vitale 1, 2 , María Cintia Piccolo 1, 2, 3
Affiliation  

Abstract

With conventional monitoring at low-frequency, biological responses to weather-related events are missed. In this paper, we examine the chlorophyll-a concentrations in a shallow lake using high-frequency data from an in situ buoy. Also, we used monthly data of phytoplankton to relation high and low-frequency data. This is the first study about chlorophyll-a in high-frequency from a buoy in situ in South America. Significant minimums of chlorophyll-a concentration were detected, associated with episodic weather events in La Salada shallow lake. We present the data obtained from October 2012 to April 2015, and as an example analyzed some occasions in which these events of a significant minimum of Chlorophyll-a were detected. Extreme minimum values prevailed during winter months. We can conclude, the predominance of western winds registered, which (given the small size of the predominant species) could generate a spatial displacement (patches) of phytoplankton. Also, the high transparency conditions could affect phytoplankton by photo-inhibition. Chlorophyll-a concentrations returned to previous conditions after two days. This study suggests that the duration of western wind events and photo-inhibition with high water transparency could explain the spatial changes of phytoplankton communities. These results emphasize the importance of the analysis of high-frequency measurements in conjunction with meteorological variables to understand phytoplankton dynamics and sampling planning.



中文翻译:

天气相关偶发事件对浅湖叶绿素a的影响:基于高频数据的分析

摘要

通过常规的低频监测,会遗漏对天气相关事件的生物反应。在本文中,我们使用来自原位浮标的高频数据检查浅湖中的叶绿素a浓度。此外,我们使用浮游植物的月度数据来关联高频和低频数据。这是对南美洲原位浮标高频叶绿素a的首次研究。检测到叶绿素a浓度的显着最小值,与 La Salada 浅湖中的偶发天气事件有关。我们展示了从 2012 年 10 月到 2015 年 4 月获得的数据,并作为一个例子分析了这些事件中叶绿素a显着最小值的一些情况。被检测到。极端最小值在冬季盛行。我们可以得出结论,西风占主导地位,这(考虑到主要物种的体积小)可能会产生浮游植物的空间位移(补丁)。此外,高透明度条件可能会通过光抑制影响浮游植物。叶绿素两天后恢复到以前的条件浓度。这项研究表明,西风事件的持续时间和高水透明度的光抑制可以解释浮游植物群落的空间变化。这些结果强调了高频测量分析与气象变量相结合的重要性,以了解浮游植物动态和采样计划。

更新日期:2021-07-27
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