Models for estimating phytoplankton population densities under different environmental conditions with emphasis on climatic factors

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

AGHASHARIATMADARY ZAHRA; SHARIATMADARI ZEINAB; NEJADSATTARI TAHER

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Rostaniha Year:2018 | Volume:18 | Issue:2 (54) Page(s): 166-180

Download Full-Text

Persian Verion

View:

445

Download:

Cites:

Information Journal Paper

Title

Models for estimating phytoplankton population densities under different environmental conditions with emphasis on climatic factors

Author(s)

AGHASHARIATMADARY ZAHRA | SHARIATMADARI ZEINAB | NEJADSATTARI TAHER | Issue Writer Certificate

Keywords

Algal floraQ1

freshwater ecosystemQ1

light intensityQ1

meteorologyQ1

population densityQ1

Abstract

The aim of this study is to determine the effect of environmental conditions with emphasis on the main meteorological factors (air temperature variables, sunshine hour, and humidity), on phytoplankton communities. As important primary producers in aquatic ecosystems, phytoplankton communities could be affected by several factors. Environmental factors play the major role in occurrence and diversity of these photosynthetic microorganisms. In the present study, the relationship between phytoplankton occurrence and meteorological variables was assessed in several artificial ponds and lakes in the National Botanical Garden of Iran. For this purpose, surface water samples of the selected sites were monthly studied over a year. A total of 122 taxa of phytoplanktons were identified in the mentioned sites out of which, five taxa were new records for Iran. Among several taxa, six dominant genera, including Chroococcus (Cyanophyta), Nitzschia (Bacillariophyta), Glenodinium (Pyrrhophyta), Scenedesmus, Cosmarium, and Tetraedron (Chlorophyta), were selected for further investigation. The meteorological factors were considered with emphasis on air temperature variables (maximum and minimum temperatures, average air temperature, wet and dry temperatures, and dew point temperature), sunshine hour, and humidity. Results showed that, climatic conditions can be considered as effective factors on phytoplankton communities. The results of regression analysis between algal density and meteorological variables showed that, phytoplankton’ s density has a significant correlation with the sunshine hour and air temperature variables. It seems that, the regression equation and environmental sensitivity vary from one taxon to another.

Cites

No record.

References

No record.

Cite

APA: Copy

AGHASHARIATMADARY, ZAHRA, SHARIATMADARI, ZEINAB, & NEJADSATTARI, TAHER. (2018). Models for estimating phytoplankton population densities under different environmental conditions with emphasis on climatic factors. ROSTANIHA, 18(2 (54) ), 166-180. SID. https://sid.ir/paper/1145/en

Vancouver: Copy

AGHASHARIATMADARY ZAHRA, SHARIATMADARI ZEINAB, NEJADSATTARI TAHER. Models for estimating phytoplankton population densities under different environmental conditions with emphasis on climatic factors. ROSTANIHA[Internet]. 2018;18(2 (54) ):166-180. Available from: https://sid.ir/paper/1145/en

IEEE: Copy

ZAHRA AGHASHARIATMADARY, ZEINAB SHARIATMADARI, and TAHER NEJADSATTARI, “Models for estimating phytoplankton population densities under different environmental conditions with emphasis on climatic factors,” ROSTANIHA, vol. 18, no. 2 (54) , pp. 166–180, 2018, [Online]. Available: https://sid.ir/paper/1145/en

Related Journal Papers