Multivariate Analyses of Phytoplankton Pigment Fluorescence from a Freshwater River Network

Environmental Science & Technology
Ruchi Bhattacharya, Christopher L Osburn

Abstract

Monitoring phytoplankton classes in river networks is critical to understanding phytoplankton dynamics and to predicting the ecosystem response to changing land-use and seasons. Applicability of phytoplankton fluorescence as a quick and effective ecological monitoring approach is relatively unexplored in freshwater ecosystems. We used multivariate analyses of fluorescence from pigment extracted in 90% acetone to assess the variability in phytoplankton classes, herbivory, and organic matter quality in a freshwater river network. A total of four models developed by the parallel factor analysis (PARAFAC) of fluorescence excitation and emission matrices identified six components: Model 1 (pheophytin-A and chlorophyll-A), Model 2 (chlorophyll-B and chlorophyll-C), Model 3 (pheophytin-B), and Model 4 (pheophytin-C). Redundancy analyses revealed that in the summer, urban and agricultural streams were abundant in chlorophylls, fresh organic matter, and organic nitrogen, whereas in winter, streams were high in phaeopigments. A slow-moving, light-limited wetland stream was an exception as high phaeopigment abundance was observed in both seasons. The PARAFAC components were used to develop a partial least-squares regression-based model (r...Continue Reading

References

May 23, 2006·Southern Medical Journal·Stephen Bent
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Oct 1, 1987·The New Phytologist·George A F HendryStanley B Brown

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Citations

Nov 10, 2018·Environmental Monitoring and Assessment·Wenqiang ZhangBaoqing Shan
Nov 25, 2020·The Science of the Total Environment·Ruchi Bhattacharya, Christopher L Osburn
Mar 25, 2021·Environmental Science & Technology·Cizhang HuiHuanjun Zhang
Oct 31, 2017·Environmental Science & Technology·Alexandria G HounshellHans W Paerl
Sep 8, 2021·Environmental Science. Processes & Impacts·Davide VioneLuca Carena

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