Mucha Ana P, Vasconcelos M Teresa S D, Bordalo Adriano A
Laboratory of Hydrobiology, Institute of Biomedical Sciences, University of Porto, Largo Professor Abel Salazar, No. 2, 4099-003 Porto, Portugal.
Mar Environ Res. 2005 Dec;60(5):531-50. doi: 10.1016/j.marenvres.2004.12.004.
The macrobenthic community structure and characteristics of sediments were studied in samples collected seasonally at five stations in the lower mesotidal Douro estuary, Portugal. Sediment characterisation included grain size distribution, total-recoverable metals (Al, Fe, Mn, Zn, Cu, Cr, Pb, Ni and Cd), acid-volatile sulphides (AVS) and simultaneously extracted metals (SEM) and total organic matter contents. Spatial variation surpassed temporal variation both in terms of environmental parameters and community structure. Clear anthropogenic contamination in terms of Zn, Cr, Cu and Pb, and a positive SEM-AVS, indicating the potential bioavailability of these metals, were detected on the north bank of the estuary. Multivariate analysis revealed that in addition to natural sediment characteristics, the anthropogenic metal contamination was influencing the macrobenthic community structure. In fact, greater concentrations of Zn, Cr, Cu and Pb were associated with lower number of species and/or diversity. Finally, the dry weight-normalised metal concentrations appeared as a more useful tool than the SEM-AVS model in predicting disturbance of the macrobenthic community in the studied area.
在葡萄牙中潮间带杜罗河河口下游的五个站点季节性采集的样本中，研究了大型底栖动物群落结构和沉积物特征。沉积物特征包括粒度分布、总可回收金属（铝、铁、锰、锌、铜、铬、铅、镍和镉）、酸挥发性硫化物（AVS）、同时提取的金属（SEM）和总有机质含量。无论是在环境参数还是群落结构方面，空间变化都超过了时间变化。在河口北岸检测到锌、铬、铜和铅方面明显的人为污染，以及正的SEM-AVS，表明这些金属具有潜在的生物有效性。多变量分析表明，除了自然沉积物特征外，人为金属污染也在影响大型底栖动物群落结构。事实上，较高浓度的锌、铬、铜和铅与较低的物种数量和/或多样性相关。最后，在预测研究区域大型底栖动物群落的干扰方面，干重归一化金属浓度似乎比SEM-AVS模型更有用。
