Volume 8, Issue 3 (2019)
JFST 2019, 8(3): 165-173 |
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Mahmoudi N, babanezhad M, seyfabadi J, ahmadi M, darzi heydari J, papizadeh N, et al . Identifying the environmental factors influencing the spatial pattern of water quality of Mazandaran coasts during winter. JFST 2019; 8 (3) :165-173
URL: http://jfst.modares.ac.ir/article-6-31414-en.html
URL: http://jfst.modares.ac.ir/article-6-31414-en.html
Nemat Mahmoudi * 
1, Manoochehr Babanezhad2 , Jafar Seyfabadi3 , Mohammadreza Ahmadi4 , Jamshid Darzi heydari5 , Nahid Papizadeh6 , Aboulghasem Roohi7 , Mostafa Armandeh8
1, Manoochehr Babanezhad2 , Jafar Seyfabadi3 , Mohammadreza Ahmadi4 , Jamshid Darzi heydari5 , Nahid Papizadeh6 , Aboulghasem Roohi7 , Mostafa Armandeh8
1- َassistant professor of aquaculture department, Tarbiat Modares University , n.mahmoudi@modares.ac.ir
2- Department of Statistics, Faculty of Science, Golestan University
3- Department of Marine Biology, Faculty of Marine Sciences, Tarbiat Modares University, Iran
4- Department of Health and Aquatic Diseases, Faculty of Veterinary Medicine, University of Tehran
5- Department of Fisheries, Gonbad Kavous University, Gonbad Kavous
6- Department of Fisheries, Khorramshahr University of Marine Science and Technology
7- Caspian Sea Research Institute of Ecology, Sari, Iran.
8- Department of aquaculture, faculty of marine science, Tarbiat Modares university
2- Department of Statistics, Faculty of Science, Golestan University
3- Department of Marine Biology, Faculty of Marine Sciences, Tarbiat Modares University, Iran
4- Department of Health and Aquatic Diseases, Faculty of Veterinary Medicine, University of Tehran
5- Department of Fisheries, Gonbad Kavous University, Gonbad Kavous
6- Department of Fisheries, Khorramshahr University of Marine Science and Technology
7- Caspian Sea Research Institute of Ecology, Sari, Iran.
8- Department of aquaculture, faculty of marine science, Tarbiat Modares university
Abstract: (2559 Views)
Aims: This research aimed to evaluate the spatial patterns of water quality and its controlling factors in the Mazandaran coastal ecosystem during winter using the multivariate analysis methods.
Materials and methods: Water quality parameters such as nutrients, temperature, conductivity, salinity, DO, pH, chlorophyll-a and turbidity were measured monthly in 16 stations (44 layers) along 4 transects (Amirabad, Babolsar, Noushahr and Ramsar). To evaluate the data, several multivariate statistical methods were used including discriminant function analysis, cluster and factor analysis as well as correlation test.
Findings: Results of cluster analysis showed that the sampling sites (44 layers) were classified into 4 groups. Based on discriminant analysis, 93.20% of the sampling sites correctly classified. Factor analysis extracted 4 principal components that explained 74.05% of the total variance. Based on these analyses, organic phosphorus, organic nitrogen, turbidity, chlorophyll-a and temperature were the most effective parameters on the spatial variation of water quality.
Conclusion: This study suggested that the number of sampling locations could be reduced to 3 transects including Amirabad, Babolsar and west coasts (Noushahr and Ramsar) and 2 stations (one surface layer and one deep layer). Transport of nutrients from land, sea floor and fish cage culture were the most effective factors on spatial patterns of water quality in Mazandaran coasts. Based on the results, multivariate statistical methods are also introduced as one of the useful methods for identifying the spatial pattern of water quality.
Materials and methods: Water quality parameters such as nutrients, temperature, conductivity, salinity, DO, pH, chlorophyll-a and turbidity were measured monthly in 16 stations (44 layers) along 4 transects (Amirabad, Babolsar, Noushahr and Ramsar). To evaluate the data, several multivariate statistical methods were used including discriminant function analysis, cluster and factor analysis as well as correlation test.
Findings: Results of cluster analysis showed that the sampling sites (44 layers) were classified into 4 groups. Based on discriminant analysis, 93.20% of the sampling sites correctly classified. Factor analysis extracted 4 principal components that explained 74.05% of the total variance. Based on these analyses, organic phosphorus, organic nitrogen, turbidity, chlorophyll-a and temperature were the most effective parameters on the spatial variation of water quality.
Conclusion: This study suggested that the number of sampling locations could be reduced to 3 transects including Amirabad, Babolsar and west coasts (Noushahr and Ramsar) and 2 stations (one surface layer and one deep layer). Transport of nutrients from land, sea floor and fish cage culture were the most effective factors on spatial patterns of water quality in Mazandaran coasts. Based on the results, multivariate statistical methods are also introduced as one of the useful methods for identifying the spatial pattern of water quality.
Keywords: Caspian Sea, Coastal ecosystem, Mazandaran, Spatial pattern, Water quality, Multivariate analysis
Article Type: Original Research |
Subject:
Fisheries Resource Management
Received: 2019/03/17 | Published: 2020/05/13
Received: 2019/03/17 | Published: 2020/05/13
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