Federal Institute of Hydrology (BfG), Mainzer Tor 1, Koblenz, Germany.
Environ Int. 2011 Jul;37(5):940-9. doi: 10.1016/j.envint.2011.03.013. Epub 2011 Apr 12.
Soft sediments are often highly polluted as many of the toxic chemicals introduced into surface waters bind to settling particles. The resulting accumulation of pollutants in the sediments poses a risk for benthic communities. However, pollution induced changes in benthic communities have been difficult to determine when using macro-invertebrates as bioindicators, as these organisms are often absent in soft sediment. The present study therefore examined the ability of meiofaunal organisms, specifically, nematodes, to assess the ecological status of soft sediments. Over a 9-year period, nematode communities present in sediments collected from large rivers and lake Constance in Germany were studied. These sediments showed a large range of physico-chemical properties and anthropogenic contamination. After the degree of metal and organic contamination was translated into ecotoxicologically more relevant toxic units (TUs), multivariate methods were used to classify nematode taxa in species at risk (NemaSPEAR) or not at risk (NemaSPE(not)AR). This approach clearly distinguished the influence of sediment texture from that of the toxic potential of the samples and thus allowed classification of the nematode species according to their sensitivity to or tolerance of toxic stress. Two indices, expressing the proportion of species at risk within a sample (NemaSPEAR%, NemaSPEAR%), were calculated from independent data sets obtained in field and experimental studies and showed good correlations with the toxic potential (field data) or chemical concentrations (microcosm data). NemaSPEAR[%] indices for metal and organic pollution were therefore judged to be suitable for assessing the impact of chemical contamination of freshwater soft sediments.
软泥沉积物通常受到高度污染,因为许多进入地表水中的有毒化学物质会与沉降颗粒结合。污染物在沉积物中的积累对底栖生物群落构成了风险。然而,当使用大型无脊椎动物作为生物指标时,底栖生物群落的污染诱导变化一直难以确定,因为这些生物通常在软泥沉积物中不存在。因此,本研究检查了后生动物生物体(特别是线虫)评估软泥沉积物生态状况的能力。在 9 年的时间里,研究了从德国的大河和康斯坦茨湖采集的沉积物中存在的线虫群落。这些沉积物表现出广泛的物理化学性质和人为污染。在将金属和有机污染物的程度转化为更相关的生态毒理学毒性单位(TU)后,使用多变量方法对线虫分类群进行了分类,即处于风险中的线虫分类群(NemaSPEAR)或未处于风险中的线虫分类群(NemaSPE(not)AR)。这种方法清楚地区分了沉积物质地和样品毒性潜力的影响,从而可以根据线虫对有毒压力的敏感性或耐受性对其进行分类。从现场和实验研究中获得的两个独立数据集计算了表示样本中处于风险中的物种比例的两个指数(NemaSPEAR[%](金属),NemaSPEAR[%](有机)),并与毒性潜力(现场数据)或化学浓度(微宇宙数据)表现出良好的相关性。因此,认为金属和有机污染的 NemaSPEAR[%]指数适用于评估淡水软泥沉积物中化学污染的影响。