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Bacterial Abundance – Chlorophyll a Concentration Relationships in Cross River Basin, Southeastern Nigeria: An Evaluation of Empirical Bacterial Abundance – Chlorophyll a Models Using a Multivariate Analysis

Received: 30 September 2015    Accepted: 15 October 2015    Published: 3 November 2015
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Abstract

The relationship between bacteria and chlorophyll a was investigated for three months from July to September, 2008 during flood and ebb tide periods at two sites in the Cross River basin, southeastern Nigeria, to ascertain the reliance of bacteria on autochthonous organic matter. There was no significant difference between flood water and ebb water samples at both stations for the entire variable measured. Bacterial cell abundance showed a weak positive correlation with chlorophyll a concentration at Station 1 (r* = 0.132, P > 0.05) and a strong positive correlation at Station 2 (r* = 0.599, P > 0.5). The micronutrients at both stations showed a weak negative correlation with chlorophyll a concentration. Linear regression analysis together with standardized coefficient value revealed a high bacteria/chlorophyll a relationship at Station 2 and a weak bacteria/chlorophyll a relationship at Station 1. Principal Component Analysis was applied to the measured variable, and a high correlation was observed between bacterial cell abundance and chlorophyll a concentration at Station 2. A strong reliance of bacteria on chlorophyll a was established at Station 2 whereas Station 1 showed a weak correlation indicating the strong dependence of bacteria on allochthonous organic matter. This bacterial abundance could serve as a good source food for protozoans in transferring energy to classic food chain.

Published in Journal of Water Resources and Ocean Science (Volume 4, Issue 6)
DOI 10.11648/j.wros.20150406.11
Page(s) 72-85
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Bacteria, Chlorophyll a, PCA, Protozoan

References
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    Inyang, Aniefiok I, Antai, Ekpo E, Dan, et al. (2015). Bacterial Abundance – Chlorophyll a Concentration Relationships in Cross River Basin, Southeastern Nigeria: An Evaluation of Empirical Bacterial Abundance – Chlorophyll a Models Using a Multivariate Analysis. Journal of Water Resources and Ocean Science, 4(6), 72-85. https://doi.org/10.11648/j.wros.20150406.11

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    Inyang; Aniefiok I; Antai; Ekpo E; Dan, et al. Bacterial Abundance – Chlorophyll a Concentration Relationships in Cross River Basin, Southeastern Nigeria: An Evaluation of Empirical Bacterial Abundance – Chlorophyll a Models Using a Multivariate Analysis. J. Water Resour. Ocean Sci. 2015, 4(6), 72-85. doi: 10.11648/j.wros.20150406.11

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    AMA Style

    Inyang, Aniefiok I, Antai, Ekpo E, Dan, et al. Bacterial Abundance – Chlorophyll a Concentration Relationships in Cross River Basin, Southeastern Nigeria: An Evaluation of Empirical Bacterial Abundance – Chlorophyll a Models Using a Multivariate Analysis. J Water Resour Ocean Sci. 2015;4(6):72-85. doi: 10.11648/j.wros.20150406.11

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  • @article{10.11648/j.wros.20150406.11,
      author = {Inyang and Aniefiok I and Antai and Ekpo E and Dan and Monica U},
      title = {Bacterial Abundance – Chlorophyll a Concentration Relationships in Cross River Basin, Southeastern Nigeria: An Evaluation of Empirical Bacterial Abundance – Chlorophyll a Models Using a Multivariate Analysis},
      journal = {Journal of Water Resources and Ocean Science},
      volume = {4},
      number = {6},
      pages = {72-85},
      doi = {10.11648/j.wros.20150406.11},
      url = {https://doi.org/10.11648/j.wros.20150406.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20150406.11},
      abstract = {The relationship between bacteria and chlorophyll a was investigated for three months from July to September, 2008 during flood and ebb tide periods at two sites in the Cross River basin, southeastern Nigeria, to ascertain the reliance of bacteria on autochthonous organic matter. There was no significant difference between flood water and ebb water samples at both stations for the entire variable measured. Bacterial cell abundance showed a weak positive correlation with chlorophyll a concentration at Station 1 (r* = 0.132, P > 0.05) and a strong positive correlation at Station 2 (r* = 0.599, P > 0.5). The micronutrients at both stations showed a weak negative correlation with chlorophyll a concentration. Linear regression analysis together with standardized coefficient value revealed a high bacteria/chlorophyll a relationship at Station 2 and a weak bacteria/chlorophyll a relationship at Station 1. Principal Component Analysis was applied to the measured variable, and a high correlation was observed between bacterial cell abundance and chlorophyll a concentration at Station 2. A strong reliance of bacteria on chlorophyll a was established at Station 2 whereas Station 1 showed a weak correlation indicating the strong dependence of bacteria on allochthonous organic matter. This bacterial abundance could serve as a good source food for protozoans in transferring energy to classic food chain.},
     year = {2015}
    }
    

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    AB  - The relationship between bacteria and chlorophyll a was investigated for three months from July to September, 2008 during flood and ebb tide periods at two sites in the Cross River basin, southeastern Nigeria, to ascertain the reliance of bacteria on autochthonous organic matter. There was no significant difference between flood water and ebb water samples at both stations for the entire variable measured. Bacterial cell abundance showed a weak positive correlation with chlorophyll a concentration at Station 1 (r* = 0.132, P > 0.05) and a strong positive correlation at Station 2 (r* = 0.599, P > 0.5). The micronutrients at both stations showed a weak negative correlation with chlorophyll a concentration. Linear regression analysis together with standardized coefficient value revealed a high bacteria/chlorophyll a relationship at Station 2 and a weak bacteria/chlorophyll a relationship at Station 1. Principal Component Analysis was applied to the measured variable, and a high correlation was observed between bacterial cell abundance and chlorophyll a concentration at Station 2. A strong reliance of bacteria on chlorophyll a was established at Station 2 whereas Station 1 showed a weak correlation indicating the strong dependence of bacteria on allochthonous organic matter. This bacterial abundance could serve as a good source food for protozoans in transferring energy to classic food chain.
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