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应用于森林群落的物种丰富度小样本估计。

Small-sample estimation of species richness applied to forest communities.

作者信息

Hwang Wen-Han, Shen Tsung-Jen

机构信息

Department of Applied Mathematics, National Chung Hsing University, Taichung, Taiwan.

出版信息

Biometrics. 2010 Dec;66(4):1052-60. doi: 10.1111/j.1541-0420.2009.01371.x.

Abstract

Many well-known methods are available for estimating the number of species in a forest community. However, most existing methods result in considerable negative bias in applications, where field surveys typically represent only a small fraction of sampled communities. This article develops a new method based on sampling with replacement to estimate species richness via the generalized jackknife procedure. The proposed estimator yields small bias and reasonably accurate interval estimation even with small samples. The performance of the proposed estimator is compared with several typical estimators via simulation study using two complete census datasets from Panama and Malaysia.

摘要

有许多知名方法可用于估计森林群落中的物种数量。然而,大多数现有方法在应用中会产生相当大的负偏差,因为实地调查通常只占抽样群落的一小部分。本文基于有放回抽样开发了一种新方法,通过广义刀切法程序估计物种丰富度。即使样本量较小,所提出的估计器也具有较小的偏差和合理准确的区间估计。通过使用来自巴拿马和马来西亚的两个完整普查数据集进行模拟研究,将所提出估计器的性能与几种典型估计器进行了比较。

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