No magic number: determining cost-effective sample size and enumeration effort for diatom-based environmental assessment analyses
No magic number: determining cost-effective sample size and enumeration effort for diatom-based environmental assessment analyses
复制标题
没有神奇的数字：确定基于硅藻的环境评估分析的具有成本效益的样本量和计数工作
DOI：
--
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
J. Smol
中科院分区：
文献类型：
--
作者：
J. Bennett;K. Rühland;J. Smol
水生微生物通常被用作环境评估的指标。这些研究的采样设计的两个关键方面是采样点的数量和样本中生物体的计数工作。然而，并没有严格确定两者之间的成本效益平衡。在这里，我们使用区域硅藻数据集，从207到493个湖泊，以确定样本大小（湖泊数量）和枚举工作（阀计数）的影响，常用的环境评估分析的准确性和成本效益。我们发现，湖数和阀门计数可以大大减少从原始数据集。然而，各种分析之间存在着相当大的差异，因此无法推荐一种最具成本效益的取样配置。对于加权平均组合与环境模型，我们建议使用70-100个湖泊和200个阀门来保持高精度。对于其他分析，我们建议迭代地建立数据集，使用初始值。
Aquatic microorganisms are commonly used as indicators in environmental assessments. Two key aspects of sampling design for these studies are the number of sites sampled and the enumeration effort of organisms within samples. However, there has been no rigorous determination of a cost-effective balance between them. Here, we use regional diatom data sets from 207 to 493 lakes to determine the influence of sample size (lake number) and enumeration effort (valve count) on the accuracy and cost-effectiveness of commonly used environmental assessment analyses. We find that both lake number and valve count can be considerably reduced from the original data sets. However, there is considerable variation among analyses, such that a single most cost-effective sampling configuration cannot be recommended. For weighted-averaging assemblage versus environment models, we recommend 70–100 lakes and 200 valves for retaining high accuracy. For other analyses, we recommend iteratively building up data sets, using initial...
影响因子：
8.8
作者：
Myers, Jonathan A.;Chase, Jonathan M.;Seidel, Renate
通讯作者：
Seidel, Renate