Small‐Sample Estimation of Species Richness Applied to Forest Communities
Small‐Sample Estimation of Species Richness Applied to Forest Communities
复制标题
应用于森林群落的物种丰富度小样本估计
作者：
W. Hwang;Tsung‐Jen Shen
许多已知的方法可用于估算森林群落的物种数量。然而，大多数现有方法在应用中导致相当大的负偏差，其中实地调查通常只代表抽样社区的一小部分。本文提出了一种基于抽样替换的广义折刀法估算物种丰富度的新方法。所提出的估计器即使在小样本情况下也能产生较小的偏差和相当准确的区间估计。利用巴拿马和马来西亚两个完整的人口普查数据集，通过仿真研究，将所提出的估计器的性能与几种典型估计器进行了比较。
Summary 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.