Assessing the Variability of Phytoplankton Assemblages in Old Woman Creek, Ohio
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Kent State University / OhioLINK
2016
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=kent1469959717 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-kent14699597172021-08-03T06:38:02Z Assessing the Variability of Phytoplankton Assemblages in Old Woman Creek, Ohio Bonini, Nick Aquatic Sciences Biological Oceanography Environmental Geology Environmental Science Geology Limnology Water Resource Management Old Woman Creek Lake Erie algal blooms phytoplankton water quality estuary barrier beach VNIR derivative spectroscopy VPCA principal component analysis remote sensing prediction model net community production streamflow Various techniques for assessing, monitoring, and predicting algal blooms in an estuarine ecosystem are analyzed. In one section, routine water samples are collected at previously established monitoring sites in Old Woman Creek, filtered onto a 47 mm, 0.7 µm glass-fiber filter (GF/F), and then measured using a visible/near-infrared spectrophotometer. Varimax-rotated principal component analysis (VPCA) is applied to reflectance data and then used to quantify and identify pigments, phytoplankton taxa, and sediments by comparing the measured spectral signatures to known standards. Common assemblages that are reported throughout the three-year study include: bacillariophyceae (diatoms), chlorophyta (green algae), cyanobacteria (blue-green algae), and illite. A similar approach is taken in the next section by applying multivariate statistics to Landsat 8 satellite imagery in order to determine the distribution of in-water constituents at a high spatial resolution. Only four bands in the visible range are available for this analysis, but it is possible to identify several of the same groups of algae and sediments, providing a useful complement to the hyperspectral work. Finally, a bloom prediction model based on springtime discharge is created by applying VPCA to in-water sonde data from one of the monitoring sites at Old Woman Creek during a recent 11-year time period. In this model, a proxy for net community production (NCP) is determined using oxygen and pH dynamics and then compared to daily rates of streamflow. Possible monthly sequences between January and June are considered in order to determine which timeframe is the best indicator of the average annual NCP. Time of day (daytime versus nighttime) and mouth bar conditions (barrier beach present versus absent) are important factors in determining production in the estuary. Based on the results, the best predictor for NCP is stream discharge from March through May, which produces correlations that are significant at even the 1% level. A positive relationship is found between NCP and discharge when flow from Old Woman Creek into Lake Erie is permitted. When flow is blocked by the barrier beach, however, the relationship is reversed. 2016-08-08 English text Kent State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=kent1469959717 http://rave.ohiolink.edu/etdc/view?acc_num=kent1469959717 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Aquatic Sciences Biological Oceanography Environmental Geology Environmental Science Geology Limnology Water Resource Management Old Woman Creek Lake Erie algal blooms phytoplankton water quality estuary barrier beach VNIR derivative spectroscopy VPCA principal component analysis remote sensing prediction model net community production streamflow |
| spellingShingle |
Aquatic Sciences Biological Oceanography Environmental Geology Environmental Science Geology Limnology Water Resource Management Old Woman Creek Lake Erie algal blooms phytoplankton water quality estuary barrier beach VNIR derivative spectroscopy VPCA principal component analysis remote sensing prediction model net community production streamflow Bonini, Nick Assessing the Variability of Phytoplankton Assemblages in Old Woman Creek, Ohio |
| author |
Bonini, Nick |
| author_facet |
Bonini, Nick |
| author_sort |
Bonini, Nick |
| title |
Assessing the Variability of Phytoplankton Assemblages in Old Woman Creek, Ohio |
| title_short |
Assessing the Variability of Phytoplankton Assemblages in Old Woman Creek, Ohio |
| title_full |
Assessing the Variability of Phytoplankton Assemblages in Old Woman Creek, Ohio |
| title_fullStr |
Assessing the Variability of Phytoplankton Assemblages in Old Woman Creek, Ohio |
| title_full_unstemmed |
Assessing the Variability of Phytoplankton Assemblages in Old Woman Creek, Ohio |
| title_sort |
assessing the variability of phytoplankton assemblages in old woman creek, ohio |
| publisher |
Kent State University / OhioLINK |
| publishDate |
2016 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=kent1469959717 |
| work_keys_str_mv |
AT bonininick assessingthevariabilityofphytoplanktonassemblagesinoldwomancreekohio |
| _version_ |
1719440409222971392 |