Phytoplankton in Mt. St. Helens Lakes, Washington

Phytoplankton communities in fifteen lakes in the Mt. St. Helens area were surveyed to assess the abundance and species present. Eleven of the lakes were inside the blast zone of the 1980 eruption and four were located outside the blast zone as a comparison. The hypothesis is that lakes will cluster...

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Main Author: Baker, Cynthia Fay
Format: Others
Published: PDXScholar 1995
Subjects:
Online Access:https://pdxscholar.library.pdx.edu/open_access_etds/5017
https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=6089&context=open_access_etds
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spelling ndltd-pdx.edu-oai-pdxscholar.library.pdx.edu-open_access_etds-60892019-10-20T05:22:50Z Phytoplankton in Mt. St. Helens Lakes, Washington Baker, Cynthia Fay Phytoplankton communities in fifteen lakes in the Mt. St. Helens area were surveyed to assess the abundance and species present. Eleven of the lakes were inside the blast zone of the 1980 eruption and four were located outside the blast zone as a comparison. The hypothesis is that lakes will cluster together based on the algal species present and that some algae will be correlated with certain environmental conditions. A cluster analysis was performed to determine if the lakes would group together based on algal abundance. There did not appear to be any distinct clustering among the study lakes, but this analysis did help to sort out some similarities of algal species present between lakes. It demonstrated that the lakes outside the blast zone were not functional as control lakes because they were very different from the blast-zone lakes. They had different assemblages of algae and their origin was so different from the blast-zone lakes that there was little overlap between them. The factor analysis was applied to determine the relationships between environmental variables and phytoplankton. The hypothesis is that certain algae are associated with each other and with identifiable environmental factors. Factor analysis should detect these patterns. The factors represent some condition in the environment but the analysis would be virtually meaningless unless these conditions can be recognized and the factors named. From the factor analysis alone, I could not name the factors but returned to the task after the canonical correlation analysis was performed. The canonical correlation analysis gave some clues to identify the environmental conditions that exert control on these algae. The most useful statistical technique used in this study was the canonical correlation analysis. This analysis is a useful tool in community ecology studies where species-environment relationships can be inferred from community composition and environmental data. The environmental data used was nutrient and light attenuation present at the time the phytoplankton samples were taken. From this analysis I summarized a list of algae and with what environmental conditions that they are associated. Trophic state categories were assigned to the lakes from a trophic state index based on phytoplankton biovolume. 1995-04-25T07:00:00Z text application/pdf https://pdxscholar.library.pdx.edu/open_access_etds/5017 https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=6089&context=open_access_etds Dissertations and Theses PDXScholar Freshwater phytoplankton -- Washington (State) -- Mount Saint Helens Region Lake ecology -- Washington (State) -- Mount Saint Helens Region Biology
collection NDLTD
format Others
sources NDLTD
topic Freshwater phytoplankton -- Washington (State) -- Mount Saint Helens Region
Lake ecology -- Washington (State) -- Mount Saint Helens Region
Biology
spellingShingle Freshwater phytoplankton -- Washington (State) -- Mount Saint Helens Region
Lake ecology -- Washington (State) -- Mount Saint Helens Region
Biology
Baker, Cynthia Fay
Phytoplankton in Mt. St. Helens Lakes, Washington
description Phytoplankton communities in fifteen lakes in the Mt. St. Helens area were surveyed to assess the abundance and species present. Eleven of the lakes were inside the blast zone of the 1980 eruption and four were located outside the blast zone as a comparison. The hypothesis is that lakes will cluster together based on the algal species present and that some algae will be correlated with certain environmental conditions. A cluster analysis was performed to determine if the lakes would group together based on algal abundance. There did not appear to be any distinct clustering among the study lakes, but this analysis did help to sort out some similarities of algal species present between lakes. It demonstrated that the lakes outside the blast zone were not functional as control lakes because they were very different from the blast-zone lakes. They had different assemblages of algae and their origin was so different from the blast-zone lakes that there was little overlap between them. The factor analysis was applied to determine the relationships between environmental variables and phytoplankton. The hypothesis is that certain algae are associated with each other and with identifiable environmental factors. Factor analysis should detect these patterns. The factors represent some condition in the environment but the analysis would be virtually meaningless unless these conditions can be recognized and the factors named. From the factor analysis alone, I could not name the factors but returned to the task after the canonical correlation analysis was performed. The canonical correlation analysis gave some clues to identify the environmental conditions that exert control on these algae. The most useful statistical technique used in this study was the canonical correlation analysis. This analysis is a useful tool in community ecology studies where species-environment relationships can be inferred from community composition and environmental data. The environmental data used was nutrient and light attenuation present at the time the phytoplankton samples were taken. From this analysis I summarized a list of algae and with what environmental conditions that they are associated. Trophic state categories were assigned to the lakes from a trophic state index based on phytoplankton biovolume.
author Baker, Cynthia Fay
author_facet Baker, Cynthia Fay
author_sort Baker, Cynthia Fay
title Phytoplankton in Mt. St. Helens Lakes, Washington
title_short Phytoplankton in Mt. St. Helens Lakes, Washington
title_full Phytoplankton in Mt. St. Helens Lakes, Washington
title_fullStr Phytoplankton in Mt. St. Helens Lakes, Washington
title_full_unstemmed Phytoplankton in Mt. St. Helens Lakes, Washington
title_sort phytoplankton in mt. st. helens lakes, washington
publisher PDXScholar
publishDate 1995
url https://pdxscholar.library.pdx.edu/open_access_etds/5017
https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=6089&context=open_access_etds
work_keys_str_mv AT bakercynthiafay phytoplanktoninmtsthelenslakeswashington
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