Cost-effective sampling for estimating species richness of ground beetles (Coleoptera: Carabidae) using pitfall traps: efficiency of non-parametric species richness estimators

Cost-effective sampling for estimating species richness of ground beetles (Coleoptera: Carabidae) using pitfall traps: efficiency of non-parametric species richness estimators
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使用陷阱陷阱估算地面甲虫(鞘翅目:步甲科)物种丰富度的成本效益采样:非参数物种丰富度估算器的效率

DOI:
10.1007/s13355-019-00617-1
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发表时间:
2019
影响因子:
1.3
通讯作者:
Ozaki Kenichi
Ozaki Kenichi
中科院分区:
农林科学3区
文献类型:
--
作者:
Yamanaka Satoshi;Hironaka Yutaka;Ozaki Kenichi

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由于评估昆虫等高度多样化的类群的物种丰富度极其耗时和昂贵,因此需要成本效益高的抽样战略来估计物种丰富度,特别是在进行长期监测的情况下。我们发现了一种抽样方法,在估计日本北部北海道索拉奇六个森林地点的地面甲虫(鞘翅目:步甲科)物种丰富度时,减少了每个地点的诱捕器数量。我们在每个地点设置了40个陷阱,并在2013年6月、7月和8月收集了为期一周的地面甲虫。我们评估了三种非参数物种丰富度估计器[Jackknife2、Chao1和基于丰度的盖度估计器(ACE)]估计物种丰富度的性能。稀疏度曲线表明,ACE是估计所有地点物种丰富度的唯一有效估计器。使用ACE,如果我们允许5%或10%的偏差,我们可以将每个站点的陷阱数量从40个减少到30个或20个。这项研究表明,非参数物种丰富度估计器在减少样本量的情况下估计地面甲虫的物种丰富度是有用的。
Because it is extremely time-consuming and costly to evaluate species richness of highly diverse taxa such as insects, cost-effective sampling strategies to estimate species richness are needed, especially when long-term monitoring is conducted. We found a sampling method that reduced the number of traps per site when estimating species richness of ground beetles (Coleoptera: Carabidae) in six forest sites in Sorachi, Hokkaido, northern Japan. We set 40 pitfall traps per site and collected ground beetles for 1-week periods in June, July, and August 2013. We evaluated the performance of three non-parametric species richness estimators [Jackknife2, Chao1, and the abundance-based coverage estimator (ACE)] to estimate species richness. Rarefaction curves showed that ACE was the only valid estimator to estimate species richness for all sites. Using ACE, we can reduce the number of traps to 30 or 20 from 40 traps per site if we allow a bias of 5 or 10%, respectively. This study suggests that non-parametric species richness estimators are useful in estimating species richness of ground beetles with reduced sample size.
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