A flexible multivariable model for Phytoplankton growth
We introduce a new multivariable model to be used to studythe growth dynamics of phytoplankton as a function of both time and theconcentration of nutrients. This model is applied to a set of experimentaldata which describes the rate of growth as a function of these two variables.The form of the mode...
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| Format: | Article |
| Language: | English |
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AIMS Press
2013-03-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.913 |
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| author | Mohammad A. Tabatabai Wayne M. Eby Sejong Bae Karan P. Singh |
| author_facet | Mohammad A. Tabatabai Wayne M. Eby Sejong Bae Karan P. Singh |
| author_sort | Mohammad A. Tabatabai |
| collection | DOAJ |
| description | We introduce a new multivariable model to be used to studythe growth dynamics of phytoplankton as a function of both time and theconcentration of nutrients. This model is applied to a set of experimentaldata which describes the rate of growth as a function of these two variables.The form of the model allows easy extension to additional variables. Thus, themodel can be used to analyze experimental data regarding the effects ofvarious factors on phytoplankton growth rate. Such a model will also be usefulin analysis of the role of concentration of various nutrients or traceelements, temperature, and light intensity, or other important explanatoryvariables, or combinations of such variables, in analyzing phytoplanktongrowth dynamics. |
| format | Article |
| id | doaj-art-3e64f005581041e18e9c3edc263260b7 |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2013-03-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-3e64f005581041e18e9c3edc263260b72025-01-24T02:26:12ZengAIMS PressMathematical Biosciences and Engineering1551-00182013-03-0110391392310.3934/mbe.2013.10.913A flexible multivariable model for Phytoplankton growthMohammad A. Tabatabai0Wayne M. Eby1Sejong Bae2Karan P. Singh3Department of Mathematical Sciences, Cameron University, Lawton, OK 73505Department of Mathematical Sciences, Cameron University, Lawton, OK 73505Department of Mathematical Sciences, Cameron University, Lawton, OK 73505Department of Mathematical Sciences, Cameron University, Lawton, OK 73505We introduce a new multivariable model to be used to studythe growth dynamics of phytoplankton as a function of both time and theconcentration of nutrients. This model is applied to a set of experimentaldata which describes the rate of growth as a function of these two variables.The form of the model allows easy extension to additional variables. Thus, themodel can be used to analyze experimental data regarding the effects ofvarious factors on phytoplankton growth rate. Such a model will also be usefulin analysis of the role of concentration of various nutrients or traceelements, temperature, and light intensity, or other important explanatoryvariables, or combinations of such variables, in analyzing phytoplanktongrowth dynamics.https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.913multivariablemodelnutrient concentrationgrowth modelsbiovolume.phytoplankton |
| spellingShingle | Mohammad A. Tabatabai Wayne M. Eby Sejong Bae Karan P. Singh A flexible multivariable model for Phytoplankton growth Mathematical Biosciences and Engineering multivariablemodel nutrient concentration growth models biovolume. phytoplankton |
| title | A flexible multivariable model for Phytoplankton growth |
| title_full | A flexible multivariable model for Phytoplankton growth |
| title_fullStr | A flexible multivariable model for Phytoplankton growth |
| title_full_unstemmed | A flexible multivariable model for Phytoplankton growth |
| title_short | A flexible multivariable model for Phytoplankton growth |
| title_sort | flexible multivariable model for phytoplankton growth |
| topic | multivariablemodel nutrient concentration growth models biovolume. phytoplankton |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.913 |
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