National Institute of Oceanography and Applied Geophysics - OGS, via A. Piccard 54, I-34151 Trieste, Italy; Department of Life Sciences, University of Trieste, 34127 Trieste, Italy.
National Institute of Oceanography and Applied Geophysics - OGS, via A. Piccard 54, I-34151 Trieste, Italy.
Mar Pollut Bull. 2021 Dec;173(Pt A):113003. doi: 10.1016/j.marpolbul.2021.113003. Epub 2021 Oct 7.
We assessed the effect of sewage-derived materials on the structural and functional attributes of the soft-bottom macrofauna at an increasing distance from the entire diffusion area. Our results showed clear spatial changes of macrofaunal density and biomass along the distance gradient from the main outfall. High values of biodiversity, species composition, and species linked to organic enrichment near the duct suggested that moderate organic stress affected this community. The traits analysis abundance-based, compared to biomass-based one, distinguished most clearly sewage contamination conditions. Functional diversity displayed spatial patterns with higher values in the less impacted sites and was significantly related to species numbers and the biotic indices (like M-AMBI). This approach is ideal for detecting macrofaunal functional changes due to sewage contamination. Thus, we infer that traits analyses could offer great potential for environmental assessment and monitoring of coastal areas influenced by human activities.
我们评估了污水衍生材料对远离整个扩散区的软底底栖大型动物的结构和功能属性的影响。我们的结果表明,随着距离梯度的增加,底栖大型动物的密度和生物量呈现出明显的空间变化。在管道附近,高生物多样性、与有机物富集相关的物种组成和物种表明,适度的有机压力影响了这个群落。与基于生物量的分析相比,基于丰度的特征分析更能清晰地区分污水污染状况。功能多样性呈现出空间模式,在受影响较小的地点具有更高的值,并且与物种数量和生物指数(如 M-AMBI)显著相关。这种方法非常适合检测由于污水污染导致的底栖大型动物功能变化。因此,我们推断,特征分析可以为受人类活动影响的沿海地区的环境评估和监测提供巨大的潜力。