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基于稀疏曲线的海洋生物评估定殖调查中微动物区系物种多样性检测方法。

An approach to detecting species diversity of microfaunas in colonization surveys for marine bioassessment based on rarefaction curves.

机构信息

College of Marine Life Science, Ocean University of China, Qingdao 266003, China.

College of Fisheries, Ocean University of China, Qingdao 266003, China.

出版信息

Mar Pollut Bull. 2014 Nov 15;88(1-2):268-74. doi: 10.1016/j.marpolbul.2014.08.032. Epub 2014 Sep 11.

Abstract

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.

摘要

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。

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