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. 2014 Nov 15;88(1-2):268-74. doi: 10.1016/j.marpolbul.2014.08.032. Epub 2014 Sep 11.
The objective of this study was to measure α-, β- and γ-diversity of microfaunas with different ages in colonization surveys using rarefaction-modeling methods. A dataset was complied based on a microperiphyton survey in coastal waters of the Yellow Sea, near Qingdao. The analyses showed that: (1) there was a strong residual influence of sampling effort on β- and γ-diversity after rarefaction, especially for the young communities; (2) the rarefaction curves were well fitted to the Michaelis-Menten equation, and allow modeling and removing the residual influence of sampling effort on β- and γ-diversity; and (3) the estimated values of α-, β- and γ-diversity of a community based on the rarefaction-modeling method were independent of the influence of sampling effort. The results suggest that this approach may be used as a feasible tool to detect α-, β- and γ-diversity without the influence of sampling effort in microfauna colonization surveys for marine bioassessment.
本研究旨在利用稀疏模型方法测量不同年龄的微生物区系的α-、β-和γ-多样性。该数据集是基于对青岛附近黄海沿海微生境的调查而编制的。分析表明:(1)在稀疏化后,β-和γ-多样性仍然受到采样努力的强烈残余影响,尤其是对于年轻的群落;(2)稀疏化曲线与米氏方程拟合良好,可用于建模和消除采样努力对β-和γ-多样性的残余影响;(3)基于稀疏模型方法估计的群落的α-、β-和γ-多样性值不受采样努力的影响。研究结果表明,该方法可作为一种可行的工具,用于在海洋生物评估的微生物定殖调查中检测不受采样努力影响的α-、β-和γ-多样性。