College of Fisheries and Life Science, Dalian Ocean University, Dalian, 116023, China.
Environ Sci Pollut Res Int. 2012 Nov;19(9):3859-67. doi: 10.1007/s11356-012-1017-7. Epub 2012 Jun 21.
It has been increasingly recognized that taxonomic diversity indices have a number of desirable properties as an indicator for assessing ecological quality status, in particular their less sensitivity to natural habitat type and sampling effort but more to environmental stress and anthropogenic impact, and a statistical framework for the assessment of the significance of departure from expectation. Taxonomic patterns of macroinvertebrate fauna for assessing ecological quality status were studied based on six datasets collected from intertidal zones of the Yellow Sea, near Qingdao, northern China, during the period of 1989-1998. The invertebrate communities were sampled yearly at five stations with different bottom types during summer season (June). A total of 141 macroinvertebrate taxa were identified belonging 119 genera, 81 families, 34 orders, 19 classes, and 10 phyla. Multivariate analyses demonstrated that the taxonomic patterns of invertebrate fauna represented a significant variation in long-term temporal scale during the study period. The average taxonomic distinctness indices (Δ(+)) decreased to a significantly low level, while the variation in taxonomic distinctness measures (Λ(+)) increased to a significantly high level compared with the expected values from 1989 to 1998. The pairwise indices of Δ(+) and (Λ(+)) showed a decreasing and increasing trend of departure from the expected taxonomic breadth in response to the environmental stress and anthropogenic impact, respectively. These results imply that the ecological quality status has been significantly deteriorated due to the increasing environmental stress and anthropogenic impact in intertidal zones of the Yellow Sea, northern China, and that the taxonomic distinctness indices of macroinvertebrate fauna are a robust indicator for evaluating ecological quality status.
人们越来越认识到,分类多样性指数作为评估生态质量状况的指标具有许多理想的特性,特别是它们对自然生境类型和采样工作的敏感性较低,而对环境压力和人为影响的敏感性较高,并且具有评估偏离预期的显著性的统计框架。基于 1989 年至 1998 年期间在中国青岛附近的黄海潮间带采集的六个数据集,研究了评估生态质量状况的大型无脊椎动物动物群的分类模式。无脊椎动物群落每年在夏季(6 月)在五个具有不同底质类型的站点进行采样。共鉴定出 141 种大型无脊椎动物类群,属于 119 属、81 科、34 目、19 纲和 10 门。多元分析表明,无脊椎动物动物群的分类模式在研究期间的长期时间尺度上代表了显著的变化。与 1989 年至 1998 年的预期值相比,平均分类独特性指数(Δ(+))降低到显著较低的水平,而分类独特性度量(Λ(+))的变化增加到显著较高的水平。Δ(+)和(Λ(+))的成对指数显示出从预期分类广度出发的背离的减少和增加趋势,分别响应于环境压力和人为影响。这些结果表明,由于黄海潮间带的环境压力和人为影响不断增加,生态质量状况已显著恶化,大型无脊椎动物动物群的分类独特性指数是评估生态质量状况的有力指标。