Zhong Xiaoxiao, Xu Guangjian, Xu Henglong
Laboratory of Microbial Ecology, Ocean University of China, Qingdao 266003, China.
Laboratory of Microbial Ecology, Ocean University of China, Qingdao 266003, China.
Mar Pollut Bull. 2017 Jun 30;119(2):33-38. doi: 10.1016/j.marpolbul.2017.03.043. Epub 2017 Mar 27.
Ecological parameters based on multiply functional traits have many advantages for monitoring programs by reducing "signal to noise" ratios of observed species data. To identify potential indicators for bioassessment of marine pollution in function space, the functional patterns of protozoan communities and relationships with environmental changes were studied in coastal waters of the Yellow Sea during a 1-year period. The results showed that: (1) the spatial variability in functional trait distributions of the protozoa was significantly associated with changes in environmental variables, especially chemical oxygen demand (COD) and nutrients on spatial scale; (2) the functional traits, especially food resources and feeding type, were significantly correlated with COD and nutrients; and (3) the functional diversity indices were generally related to nutrients or COD. Based on the results, we suggest that the functional traits and diversity indices of protozoan communities may be used as more effective indicators for bioassessment of marine pollution.
基于多种功能性状的生态参数在监测项目中具有诸多优势,可降低观测物种数据的“信噪比”。为了在功能空间中识别海洋污染生物评估的潜在指标,在黄海近岸水域进行了为期一年的研究,探讨原生动物群落的功能模式及其与环境变化的关系。结果表明:(1)原生动物功能性状分布的空间变异性与环境变量的变化显著相关,尤其是在空间尺度上与化学需氧量(COD)和营养物质相关;(2)功能性状,特别是食物资源和摄食类型,与COD和营养物质显著相关;(3)功能多样性指数总体上与营养物质或COD相关。基于这些结果,我们建议原生动物群落的功能性状和多样性指数可作为海洋污染生物评估更有效的指标。