利用底栖生物多样性作为工具评估印度西南海岸沿海沉积物的生态系统健康状况

D.B. Arya , Prince S. Godson , Salom Gnana Thanga Vincent , P. Selvaraj , S. Krishnakumar , N.S. Magesh
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引用次数: 0

摘要

印度西南海岸人口密集,承受着广泛的自然和人为压力。为了评估泰米尔纳德邦西南海岸受人为影响的沿海生态系统的健康状况,首次记录了大型和小型底栖生物的多样性。采用网格采样法,从14个采样站采集了近海沉积物和水样(n = 63)。分析了水和沉积物样品的环境变量,如pH、温度、电导率(EC)、总溶解固体(TDS)、盐度、硫酸盐、溶解氧(DO)、碳水化合物(CHO)、蛋白质、脂质、不稳定有机质(LOM)、总有机碳(Corg)、总有机质(TOM)和沉积物质地。采用标准鉴定键对大型底栖动物和小型底栖动物进行分离鉴定。研究区共鉴定出大型底栖动物5门29种,小型底栖动物5门60种。相对丰度分析表明,大底栖动物以多毛目和小底栖动物以有孔虫目最多。冗余分析表明,沉积物碳水化合物含量是解释底栖生物多样性变化的最高决定因子。表示两边,M - AMBI结果显示,在14个站点中,2个被归类为“差”,9个被归类为“差”。海岸带环境中多种人为活动导致有机质输入增加,导致生态系统健康程度下降,需要因地制宜地进行有机污染控制。
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Assessment of ecosystem health status using benthic diversity as tools in coastal sediments off the South West Coast, India

The southwest coast of India is densely populated and experiences a wide range of natural and anthropogenic pressures. The diversity of macro and meiobenthos was documented in order to assess the ecosystem health of an anthropogenically impacted coastal ecosystem for the first time along the southwest coast of Tamil Nadu. Offshore sediment and water samples (n = 63) were collected from 14 sampling stations using the grid sampling method. Water and sediment samples were analysed for environmental variables such as pH, temperature, electrical conductivity (EC), total dissolved solids (TDS), salinity, sulphate, dissolved oxygen (DO), carbohydrate (CHO), protein, lipid, labile organic matter (LOM), total organic carbon (Corg), total organic matter (TOM) and sediment texture. Benthic macro and meiobenthos were isolated and identified using standard identification keys. A total of 5 phyla of macrobenthos with 29 species and 5 phyla of meiobenthos with 60 species were identified in the study area. Relative abundance analysis showed that the largest numbers of species belonged to Polychaeta for macrobenthos and foraminifera for meiobenthos. Redundancy analysis indicated that sediment carbohydrate content was the highest determining factor for explaining variation in the diversity of benthos. AMBI & M−AMBI results revealed that among the 14 stations, 2 were categorized as “poor” and 9 as “bad”. Multiple anthropogenic activities in the coastal environment leading to increased organic matter input have resulted in a decline in the ecosystem health of this region, which warrants site-specific management to control organic pollution.

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