Assessment of changes in Landscape Structure of Anzali international wetland based on Trophic index and GA-GMDH model
Subject Areas :
Robab Ahmadzadeh
1
,
محمد دهدار درگاهی
2
*
,
Nematollah Khorasani
3
,
forough farsad
4
,
M. R. Rahimibashar
5
,
علیرضا میرزاجانی
6
1 - Ph.D. Student of Environment, Department of Environmental Science, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 - Assistant Professor of Environment, La.C, Islamic Azad University, Lahijan, Iran. *Corresponding Author Email Address: dehdardargahi@iau.ac.ir
3 - Professor of Environment, Department of Environment, Faculty of Natural Resources, University of Tehran, Tehran, Iran
4 - Assistant Professor, Department of Environmental Sciences, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.
5 - Assistant Professor, Department of Marine Biology, La.C, Islamic Azad University, Lahijan, Iran.
6 - Associate Professor, Department of Ecology, Inland Water Aquaculture Research Center of Iran, Inzali, Iran
Keywords: Caspian Sea, International Wetland Anzali, Landscape, Trophy,
Abstract :
Wetlands support several plant and animal species as an irreplaceable habitat, and these valuable ecosystems are suffering from a decline in habitat quality due to human activities. Eutrophication due to enrichment with organic matter is one of the most important in changes of landscape structure. This study aims to investigate the eutrophication process on the landscape of Anzali Wetland. In this study, physical and chemical factors of water including temperature, electrical conductivity (EC), pH, dissolved oxygen (DO), total nitrogen (TN), total phosphorus (TP), and chlorophyll a were measured at 5 stations seasonally and annually, and then the trophic level (TSI) was determined using the variables total phosphate TP, total nitrogen TN, depth of view SD, and chlorophyll a. Satellite data was used to examine land cover changes in the periods of 1994, 2002, 2014 and 2018, and then landscape metrics were calculated, Next, the GMDH neural network method was used for modeling to predict the trend of TSI changes and its relationship with landscape changes. The research results show that the total TSI is in the eutrophic level in all four periods of the wetland. The results of the landscape metrics show that the lowest area of the water area was 4183.92 hectares and the highest area of vegetation cover was 11696.31 hectares in 2018. The mean patch shape index shows that the highest numerical value of this index in the water area it was 1.49 in 1994 and the highest value for vegetation cover was 1.35 in 1994 and 2014. The output of the indicators from modeling with the help of the GA-GMDH algorithm shows a decrease in the area of the water area, Also the area of the vegetation cover does not show a significant difference.
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