An evaluation of a spectral fluorometer for monitoring chlorophyll a in New York State lakes

IF 1.1 4区环境科学与生态学 Q4 LIMNOLOGY Lake and Reservoir Management Pub Date : 2022-10-02 DOI:10.1080/10402381.2022.2129525

A. Prestigiacomo, S. June, R. Gorney, A. J. Smith, A. Clinkhammer

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Abstract

Abstract Prestigiacomo AR, June SG, Gorney RM, Smith AJ, Clinkhammer AC. 2022. An evaluation of a spectral fluorometer for monitoring chlorophyll a in New York State lakes. Lake Reserv Manage. 38:318–333. The quantification of chlorophyll a in surface waters through sampling and laboratory extraction methods has limitations, including the lack of phytoplankton composition analysis and delayed analysis time. Recently, automated instruments have been developed to quickly provide estimation of total chlorophyll a and characterize phytoplankton composition into functional groups. Here, we analyzed a dataset of paired, laboratory-extracted chlorophyll a samples (Chl-a) and chlorophyll a estimated from a spectrofluorometer (FluoroProbe, bbe Moldaenke; FPChl-a) for comparability at several time scales. We found that FPChl-a was highly correlated to Chl-a (r > 0.8) but overestimated Chl-a by 1.5–2 times on average. Summer average FPChl-a was higher than summer average Chl-a, resulting in incorrect lake evaluations against selected thresholds. Linear least squares regression of Chl-a/FPChl-a was highly significant (P < 0.01) and demonstrated a good fit (r2 > 0.75) but had high variability, consistent with FPChl-a performance values reported in the scientific literature. Factors such as FPChl-a magnitude and algal dominance were statistically important factors affecting the Chl-a/FPChl-a relationship. We developed a multiple linear regression method for postcalibrating FPChl-a to equivalent Chl-a values (adjusted FPChl-a) and applied it to the FPChl-a dataset. Adjusted FPChl-a values were unbiased and compared well with Chl-a (mean residual equal to 0 µg/L). Adjusted FPChl-a summer averages resulted in correct waterbody evaluation in more than 90% of lakes. We propose that the FluoroProbe, properly postcalibrated to adjusted FPChl-a, can be used as a surrogate of Chl-a in open water monitoring applications, reducing the need for traditional laboratory Chl-a samples for lake monitoring and management.

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用于监测纽约州湖泊叶绿素a的光谱荧光计的评估

摘要Prestigiacomo AR，June SG，Gorney RM，Smith AJ，Clinkhammer AC。2022。用于监测纽约州湖泊叶绿素a的光谱荧光计的评估。湖泊保护区管理。38:318–333.通过采样和实验室提取方法对地表水中叶绿素a的定量存在局限性，包括缺乏浮游植物成分分析和分析时间延迟。最近，已经开发出自动化仪器来快速提供总叶绿素a的估计，并将浮游植物的组成表征为官能团。在这里，我们分析了一个由实验室提取的叶绿素a样本（Chl-a）和叶绿素a组成的配对数据集，这两个样本是用荧光光谱仪（FluoroProbe，bbe Moldaenke；FPChl-a。我们发现FPChl-a与Chl-a高度相关（r > 0.8），但平均高估Chl-a 1.5–2倍。夏季平均FPChl-a高于夏季平均Chl-a，导致对所选阈值的湖泊评估不正确。Chl-a/FPChl-a的线性最小二乘回归具有高度显著性（P 0.75），但具有高变异性，与科学文献中报道的FPChl-a性能值一致。FPChl-a大小和藻类优势度等因素是影响Chl-a/FPChl-a关系的重要统计因素。我们开发了一种多元线性回归方法，用于将FPChl-a后校准为等效的Chl-a值（调整后的FPChl-a），并将其应用于FPChl-a数据集。调整后的FPChl-a值是无偏的，并与Chl-a进行了很好的比较（平均残差等于0 µg/L）。调整后的FPChl-a夏季平均值在90%以上的湖泊中得到了正确的水体评估。我们建议，FluoroProbe经过适当的后校准以调整FPChl-a，可以在开放水域监测应用中用作Chl-a的替代品，从而减少对湖泊监测和管理所需的传统实验室Chl-a样本的需求。

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来源期刊

Lake and Reservoir Management 环境科学-海洋与淡水生物学

自引率

6.70%

发文量

期刊介绍： Lake and Reservoir Management (LRM) publishes original, previously unpublished studies relevant to lake and reservoir management. Papers address the management of lakes and reservoirs, their watersheds and tributaries, along with the limnology and ecology needed for sound management of these systems. Case studies that advance the science of lake management or confirm important management concepts are appropriate as long as there is clearly described management significance. Papers on economic, social, regulatory and policy aspects of lake management are also welcome with appropriate supporting data and management implications. Literature syntheses and papers developing a conceptual foundation of lake and watershed ecology will be considered for publication, but there needs to be clear emphasis on management implications. Modeling papers will be considered where the model is properly verified but it is also highly preferable that management based on the model has been taken and results have been documented. Application of known models to yet another system without a clear advance in resultant management are unlikely to be accepted. Shorter notes that convey important early results of long-term studies or provide data relating to causative agents or management approaches that warrant further study are acceptable even if the story is not yet complete. All submissions are subject to peer review to assure relevance and reliability for management application.