Fentaw Getachew, Beneberu Getachew, Wondie Ayalew, Getnet Belachew
Department of Fisheries and Aquatic Science, College of Agriculture and Environmental Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Department of Biology, College of Science, Bahir Dar University, Bahir Dar, Ethiopia.
PLoS One. 2024 Dec 9;19(12):e0314969. doi: 10.1371/journal.pone.0314969. eCollection 2024.
Assessing the macroinvertebrate assemblage in relation to physicochemical parameters can provide insight into the ecological state of aquatic environments. Therefore, this study aimed to assess macroinvertebrate assemblage of hydrogeologically connected wetlands in relation to physicochemical water quality parameters. Data were collected between June 2022 and April 2023 from twelve purposively selected sampling sites following established procedures. A total of 1,211 macroinvertebrates were collected from 18 orders and 44 families. The majority (72.83%) are generally pollution-tolerant families of the order Hemiptera, Odonata, Coleoptera and Diptera. There was significant spatio-temporal variation (P < 0.05, One-way ANOVA) in total macroinvertebrate abundance and bioindices. There were more individual macroinvertebrates collected during the dry season. The CCA and correlation analysis indicated that the physicochemical parameters had an effect on the distribution and abundance of macroinvertebrates. The size of the wetlands andthe intensity of anthropogenic interventionmight also result difference in macroinvertebrate abundance across the wetlands. The higher nutrient concentrations, the low DO level, the higher abundance of tolerant taxa and the medium Shannon_Hvalue (range: 2.13 to 2.68) all indicate the wetlands' poor ecological status. Therefore, regular water quality monitoring, identification of the macroinvertebrate at the lower taxonomic level and the development of macroinvertebratebased multimetric indices are recommended for their sustainable management.
评估大型无脊椎动物群落与理化参数的关系,可以深入了解水生环境的生态状况。因此,本研究旨在评估与理化水质参数相关的水文地质连通湿地的大型无脊椎动物群落。2022年6月至2023年4月期间,按照既定程序从12个有目的选择的采样点收集了数据。共采集到18目44科的1211只大型无脊椎动物。大多数(72.83%)是半翅目、蜻蜓目、鞘翅目和双翅目等一般耐污染的科。大型无脊椎动物的总丰度和生物指数存在显著的时空变化(P < 0.05,单因素方差分析)。旱季采集到的大型无脊椎动物个体更多。典范对应分析(CCA)和相关性分析表明,理化参数对大型无脊椎动物的分布和丰度有影响。湿地面积和人为干预强度也可能导致不同湿地大型无脊椎动物丰度的差异。较高的营养物浓度、较低的溶解氧水平、较高的耐污类群丰度和中等的香农多样性指数(范围:2.13至2.68)都表明湿地的生态状况不佳。因此,建议进行定期水质监测、在较低分类水平上鉴定大型无脊椎动物,并开发基于大型无脊椎动物的多指标指数,以实现其可持续管理。