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温带湖泊中 Arcellinida(有壳变形目)组合的亚米级空间变异性评估:对湖沼学研究的启示。

An Assessment of Sub-Meter Scale Spatial Variability of Arcellinida (Testate Lobose Amoebae) Assemblages in a Temperate Lake: Implications for Limnological Studies.

机构信息

Ottawa-Carleton Geoscience Centre and Department of Earth Sciences, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada.

School of Natural and Built Environment, Queen's University, Belfast, BT7 1NN, UK.

出版信息

Microb Ecol. 2018 Oct;76(3):680-694. doi: 10.1007/s00248-018-1157-5. Epub 2018 Mar 4.

Abstract

Arcellinida (testate lobose amoebae), a group of benthic protists, were examined from 46 sediment-water interface samples collected from oligotrophic Oromocto Lake, New Brunswick, Canada. To assess (1) assemblage homogeneity at a sub-meter spatial scale and (2) the necessity for collecting samples from multiple stations during intra-lake surveys; multiple samples were collected from three stations (quadrats 1, 2, and 3) across the north basin of Oromocto Lake, with quadrat 1 (n = 16) being the furthest to the west, quadrat 2 (n = 15) situated closer to the center of the basin, and quadrat 3 (n = 15) positioned 300 m south of the mouth of Dead Brook, an inlet stream. Results from cluster analysis and non-metric multidimensional scaling (NMDS) analysis identified two major Arcellinida assemblages, A1 and A2, the latter containing two sub-assemblages (A2a and A2b). Redundancy analysis and variance partitioning results indicated that seven statistically significant environmental variables (K, S, Sb, Ti, Zn, Fe, and Mn) explained 41.5% of the total variation in the Arcellinida distribution. Iron, Ti and K, indicators of detrital runoff, had the greatest influence on assemblage variance. The results of this study reveal that closely spaced samples (~ 10 cm) in an open-water setting are comprised of homogenous arcellinidan assemblages, indicating that replicate sampling is not required. The results, however, must be tempered with respect to the various water properties and physical characteristics that comprise individual lakes as collection of several samples may likely be necessary when sampling multiple sites of a lake basin characterized by varying water depths (e.g., littoral zone vs. open water), or lakes impacted by geogenic or anthropogenic stressors (e.g., eutrophication, or industrial contamination).

摘要

从加拿大新不伦瑞克省贫营养奥罗莫克托湖采集的 46 个沉积-水界面样本中检查了 Arcellinida(有壳有孔虫状变形虫),这是一组底栖原生生物。为了评估(1)亚米级空间尺度上的组合同质性,以及(2)在湖泊内调查期间从多个站位采集样本的必要性;从奥罗莫克托湖北部的三个站位(方格 1、2 和 3)采集了多个样本,方格 1(n=16)位于最西部,方格 2(n=15)位于湖中心附近,方格 3(n=15)位于死溪(一条入湖溪流)口以南 300 米处。聚类分析和非度量多维标度(NMDS)分析的结果确定了两个主要的 Arcellinida 组合,A1 和 A2,后者包含两个亚组合(A2a 和 A2b)。冗余分析和方差分解结果表明,七个具有统计学意义的环境变量(K、S、Sb、Ti、Zn、Fe 和 Mn)解释了 Arcellinida 分布总变异的 41.5%。铁、Ti 和 K,是碎屑径流的指标,对组合方差的影响最大。本研究的结果表明,在开阔水域中,紧密间隔的样本(~10cm)组成同质的有孔虫组合,表明不需要重复采样。然而,必须根据构成单个湖泊的各种水特性和物理特性来调整结果,因为在采样具有不同水深(例如,滨岸带与开阔水域)的湖泊多个站位或受地球化学或人为胁迫影响的湖泊(例如,富营养化或工业污染)时,可能需要采集多个样本。

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