RELATIONSHIP BETWEEN NUTRIENTS AND PHYTOPLANKTON BIOMASS BASED ON CHLOROPHYLL PREDICTION MODEL IN ZRIBAR LAKE OF KURDESTAN, A CASE STUDY

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.

RAHMANI TAHSIN; ABBASI MARZIEH

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

Journal Paper

Paper Information

Journal: Aquatic Ecology Year:2015 | Volume:4 | Issue:4 Page(s): 18-24

Download Full-Text

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

Persian Verion

View:

776

Download:

Cites:

Information Journal Paper

Title

RELATIONSHIP BETWEEN NUTRIENTS AND PHYTOPLANKTON BIOMASS BASED ON CHLOROPHYLL PREDICTION MODEL IN ZRIBAR LAKE OF KURDESTAN, A CASE STUDY

Author(s)

RAHMANI TAHSIN | ABBASI MARZIEH | Issue Writer Certificate

Keywords

CHLOROPHYLL PREDICTION MODELQ2

EUTROPHICATION MANAGEMENTQ2

NUTRIENTQ2

ZRIBAR LAKEQ2

Abstract

Zaribar Lake is a little shallow lake in Kurdistan province of Iran and it is faced to eutrophication.The study of phytoplankton biomass-nutrient relations is important in EUTROPHICATION MANAGEMENT and there are many empirical models to predict phytoplankton biomass (chlorophyll a) based on NUTRIENT (nitrogen and phosphorous) amounts in the lake. Evaluation of these empirical models and comparing the results with the real chlorophyll of the lake can be determine the proper model to simplifying future study and helps EUTROPHICATION MANAGEMENT of the lake by giving useful information about chlorophyll-nutrient relations. Hence, sampling to an analysis of nitrogen, phosphorous and chlorophyll was carried out by select 6 sampling sites every two months from September 2010 to July 2011. Results showed that the models cannot predict current amounts of the chlorophyll and predicted amounts of chlorophyll based on NUTRIENT are much more than the real chlorophyll a. Therefor the growth of phytoplankton (chlorophyll a) is limited by another factor such as light and common eutrophication control methods, that are based on limitation of external NUTRIENT loading, are not practical and effective to the lake Zribar. In addition, there should be a new adapted model contained light limiting variable.

Cites

No record.

References

No record.

Cite

APA: Copy

RAHMANI, TAHSIN, & ABBASI, MARZIEH. (2015). RELATIONSHIP BETWEEN NUTRIENTS AND PHYTOPLANKTON BIOMASS BASED ON CHLOROPHYLL PREDICTION MODEL IN ZRIBAR LAKE OF KURDESTAN, A CASE STUDY. JOURNAL OF AQUATIC ECOLOGY, 4(4), 18-24. SID. https://sid.ir/paper/242929/en

Vancouver: Copy

RAHMANI TAHSIN, ABBASI MARZIEH. RELATIONSHIP BETWEEN NUTRIENTS AND PHYTOPLANKTON BIOMASS BASED ON CHLOROPHYLL PREDICTION MODEL IN ZRIBAR LAKE OF KURDESTAN, A CASE STUDY. JOURNAL OF AQUATIC ECOLOGY[Internet]. 2015;4(4):18-24. Available from: https://sid.ir/paper/242929/en

IEEE: Copy

TAHSIN RAHMANI, and MARZIEH ABBASI, “RELATIONSHIP BETWEEN NUTRIENTS AND PHYTOPLANKTON BIOMASS BASED ON CHLOROPHYLL PREDICTION MODEL IN ZRIBAR LAKE OF KURDESTAN, A CASE STUDY,” JOURNAL OF AQUATIC ECOLOGY, vol. 4, no. 4, pp. 18–24, 2015, [Online]. Available: https://sid.ir/paper/242929/en

Related Journal Papers