Aquatic Eco-Health Group (AEHG), Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Institute of Marine Sciences, University of Chittagong, Chittagong 4331, Bangladesh.
Mar Pollut Bull. 2022 Nov;184:114217. doi: 10.1016/j.marpolbul.2022.114217. Epub 2022 Oct 8.
Many human activities can greatly influence and alter the health of aquatic ecosystems. In this regard, the quantitative analysis of macroinvertebrates and their relationships with ecological variables is an effective method in environmental monitoring programs. Here, we used the benthic macroinvertebrate community as bioindicators for assessing anthropogenic impacts on coastal waters in southeast Bangladesh. Sediment samples were collected seasonally from three different sites influenced either by mangrove forests, aquaculture activity or sewage input. The indicator value index (IndVal) analysis revealed 23 species of benthic macroinvertebrates as potential bioindicators namely Enigmonia aenigmatica, Mactra chinensis and Pharella javanica of the class Bivalvia; Tubifex tubifex of the class Clitellata; Lithopoma brevispina, Bullia vittata, Pomacea maculata and Umbonium vestiarium of the class Gastropoda; Gammarus roeselii of the class Malacostraca; and Amphicteis gunneri, Amphitrite ornata, Aricidea simplex, Cirratulus cirratus, Heterospio catalinensis, Hypereteone foliosa, Lopadorrhynchus henseni, Neanthes chingrighattensis, Micronephthys oligobranchia, Nephtys hombergii, Nereis jacksoni, Nereis zonata, Polyodontes maxillosus and Stygocapitella subterranean of the class Polychaeta. Their composition across three sites varied significantly (P < 0.05) due to influence of environmental conditions as inferred from redundancy analysis. Polychaeta, Gastropoda and Malacostraca were susceptible to sewage input, while Bivalvia and Clitellata were susceptible to aquaculture effluent. The results of this baseline study suggest that the identified benthic macroinvertebrate species can potentially be used to monitor anthropogenic disturbances in the marine environment.
许多人类活动会极大地影响和改变水生生态系统的健康。在这方面，定量分析大型底栖无脊椎动物及其与生态变量的关系是环境监测计划中的一种有效方法。在这里，我们使用底栖大型无脊椎动物群落作为生物指标，评估孟加拉国东南部沿海地区的人为影响。我们按季节从受红树林、水产养殖活动或污水输入影响的三个不同地点采集沉积物样本。指示物种价值指数（IndVal）分析显示，有 23 种底栖大型无脊椎动物可作为潜在的生物指标，它们分别属于双壳纲的 Enigmonia aenigmatica、Mactra chinensis 和 Pharella javanica；环节纲的 Tubifex tubifex；腹足纲的 Lithopoma brevispina、Bullia vittata、Pomacea maculata 和 Umbonium vestiarium；软甲纲的 Gammarus roeselii；以及多毛纲的 Amphicteis gunneri、Amphitrite ornata、Aricidea simplex、Cirratulus cirratus、Heterospio catalinensis、Hypereteone foliosa、Lopadorrhynchus henseni、Neanthes chingrighattensis、Micronephthys oligobranchia、Nephtys hombergii、Nereis jacksoni、Nereis zonata、Polyodontes maxillosus 和 Stygocapitella subterranean。由于环境条件的影响，这三个地点的生物组成存在显著差异（P<0.05），这是通过冗余分析推断出来的。多毛纲、腹足纲和软甲纲对污水输入敏感，而双壳纲和环节纲对水产养殖废水敏感。这项基线研究的结果表明，所确定的底栖大型无脊椎动物物种可能可用于监测海洋环境中的人为干扰。
