College of Marine Life Science, Ocean University of China, Qingdao 266003, China.
College of Fisheries, Ocean University of China, Qingdao 266003, China.
Mar Pollut Bull. 2015 Feb 15;91(1):238-42. doi: 10.1016/j.marpolbul.2014.11.041. Epub 2014 Dec 12.
Traditional community-based bioassessment is time-consuming because they rely on full species-abundance data of a community. To improve bioassessment efficiency, the feasibility of the diversity measures based on species accumulative curves for bioassessment of water quality status was studied based on a dataset of microperiphyton fauna. The results showed that: (1) the species accumulative curves well fitted the Michaelis-Menten equation; (2) the β- and γ-diversity, as well as the number of samples to 50% of the maximum species number (Michaelis-Menten constant K), can be statistically estimated based on the formulation; (3) the rarefied α-diversity represented a significant negative correlation with the changes in the nutrient NH4-N; and (4) the estimated β-diversity and the K constant were significantly positively related to the concentration of NH4-N. The results suggest that the diversity measures based on species accumulative curves might be used as a potential bioindicator of water quality in marine ecosystems.
传统的基于社区的生物评估耗时耗力，因为它们依赖于群落的完整物种丰度数据。为了提高生物评估的效率，基于微生境动物群数据集，研究了基于物种累积曲线的多样性测度在水质状况生物评估中的可行性。结果表明：（1）物种累积曲线很好地符合米氏方程；（2）β多样性和γ多样性，以及达到最大物种数 50%的样本数（米氏常数 K），可以根据公式进行统计估计；（3）稀疏化的α多样性与营养物 NH4-N 的变化呈显著负相关；（4）估计的β多样性和 K 常数与 NH4-N 的浓度呈显著正相关。研究结果表明，基于物种累积曲线的多样性测度可能被用作海洋生态系统水质的潜在生物指标。
