Journal of Wetland Ecobiology
Volume 15, Issue 1 (Spring 2023)
2023, 15(1): 55-63 |
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Biological monitoring of Shadegan Wetland using BMWP index and macrobenthic community structure. Wetland Ecobiology 2023; 15 (1) : 4
URL: http://jweb.ahvaz.iau.ir/article-1-1128-en.html
URL: http://jweb.ahvaz.iau.ir/article-1-1128-en.html
Abstract: (233 Views)
This study was conducted in 2012 at 6 designated stations in Shadegan Wetland. Sampling was conducted in two seasons, spring and summer, with four repetitions using a Peterson grab with a cross-sectional area of 225 square centimeters. Three sediment samples were collected from each station to separate and identify macrobenthic invertebrates, and one sample was collected to analyze sediment grain size and measure the amount of organic matter in the sediments. The electric furnace combustion method was used to determine the percentage of organic matter in the sediments, and the sieve series method was used to analyze the sediment grain size. Physical and chemical parameters of water such as temperature, dissolved oxygen, salinity, pH, and electrical conductivity were repeated three times in each sampling stage. During the two sampling seasons, a total of 16 species from 5 macrobenthos orders were identified and counted. Among the identified orders, the highest percentage of abundance was related to the gastropod order, followed by the bivalve's order in the two seasons. In order to find out the ecological status of the region in terms of pollution, the BMWP index was used. Based on the results of the BMWP index, the water quality of the stations in question was in the poor-quality category in the spring and summer seasons. Comparing the mean BMWP index in the two seasons of spring and summer shows a significant difference (P<0.05). The results of this study show the role of wastewater in increasing the load of organic pollutants to the wetland and increasing the trend of wetland pollution, which requires the need to consider environmental considerations and coordinated management to reduce organic pollutants.
Article number: 4
Type of Study: Research |
Subject:
Special
Received: 2026/01/2 | Accepted: 2026/01/12 | Published: 2026/01/12
Received: 2026/01/2 | Accepted: 2026/01/12 | Published: 2026/01/12
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