Dynamics of freshwater algae in forested watershed environment in Bull Run, Oregon.

Long-term freshwater algae data from a number of reservoir locations and watershed outlets in Bull Run, Oregon are classified at taxonomic levels and analyzed for spatial-temporal dynamics of the concentration and diversity. The analysis is further extended to: (1) study associated relationships bet...

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Main Author: Rahman, Md. Azizur.
Other Authors: Hawkins, Richard H.
Language:en
Published: The University of Arizona. 1995
Online Access:http://hdl.handle.net/10150/187374
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spelling ndltd-arizona.edu-oai-arizona.openrepository.com-10150-1873742015-10-23T04:34:19Z Dynamics of freshwater algae in forested watershed environment in Bull Run, Oregon. Rahman, Md. Azizur. Hawkins, Richard H. Matter, William J. Guertin, Phillip D. Taylor, Brooks B. O'Leary, James W. Long-term freshwater algae data from a number of reservoir locations and watershed outlets in Bull Run, Oregon are classified at taxonomic levels and analyzed for spatial-temporal dynamics of the concentration and diversity. The analysis is further extended to: (1) study associated relationships between and among algal, water chemistry, and hydrologic variables, and (2) multiple regression models predicting current and next month's algal concentration and diversity. Over fifty-thousand records covering more than twenty fields and contiguous eleven years for algae and eight years for environmental conditions are reduced and standardized to monthly average values. Of the 111 types of algae identified and characterized from the reservoir systems, Chlamydomonas taxa is most dominant which covered more than fifty-percent of the total algae concentration. The diatom Achnanthes is the second most dominant. Algal concentration and species diversity showed high temporal variability consistently across all locations. Algal species diversity slightly varied with locations without showing much change in the concentrations. Rainfall produced a number of direct and indirect associations with water chemistry variables, but few with algal characteristics. High correlation is observed between silica and specific conductivity, and their levels were higher mostly during the drier periods. Eight multiple regression models are presented to predict algal concentration and diversity for the current and next month. Recommendations are proposed to strengthen the existing water quality monitoring in the Bull Run watershed. 1995 text Dissertation-Reproduction (electronic) http://hdl.handle.net/10150/187374 9620430 en Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. The University of Arizona.
collection NDLTD
language en
sources NDLTD
description Long-term freshwater algae data from a number of reservoir locations and watershed outlets in Bull Run, Oregon are classified at taxonomic levels and analyzed for spatial-temporal dynamics of the concentration and diversity. The analysis is further extended to: (1) study associated relationships between and among algal, water chemistry, and hydrologic variables, and (2) multiple regression models predicting current and next month's algal concentration and diversity. Over fifty-thousand records covering more than twenty fields and contiguous eleven years for algae and eight years for environmental conditions are reduced and standardized to monthly average values. Of the 111 types of algae identified and characterized from the reservoir systems, Chlamydomonas taxa is most dominant which covered more than fifty-percent of the total algae concentration. The diatom Achnanthes is the second most dominant. Algal concentration and species diversity showed high temporal variability consistently across all locations. Algal species diversity slightly varied with locations without showing much change in the concentrations. Rainfall produced a number of direct and indirect associations with water chemistry variables, but few with algal characteristics. High correlation is observed between silica and specific conductivity, and their levels were higher mostly during the drier periods. Eight multiple regression models are presented to predict algal concentration and diversity for the current and next month. Recommendations are proposed to strengthen the existing water quality monitoring in the Bull Run watershed.
author2 Hawkins, Richard H.
author_facet Hawkins, Richard H.
Rahman, Md. Azizur.
author Rahman, Md. Azizur.
spellingShingle Rahman, Md. Azizur.
Dynamics of freshwater algae in forested watershed environment in Bull Run, Oregon.
author_sort Rahman, Md. Azizur.
title Dynamics of freshwater algae in forested watershed environment in Bull Run, Oregon.
title_short Dynamics of freshwater algae in forested watershed environment in Bull Run, Oregon.
title_full Dynamics of freshwater algae in forested watershed environment in Bull Run, Oregon.
title_fullStr Dynamics of freshwater algae in forested watershed environment in Bull Run, Oregon.
title_full_unstemmed Dynamics of freshwater algae in forested watershed environment in Bull Run, Oregon.
title_sort dynamics of freshwater algae in forested watershed environment in bull run, oregon.
publisher The University of Arizona.
publishDate 1995
url http://hdl.handle.net/10150/187374
work_keys_str_mv AT rahmanmdazizur dynamicsoffreshwateralgaeinforestedwatershedenvironmentinbullrunoregon
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