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首页> 外文期刊>Ecological research >A timesaving estimation of per-quadrat species number in grassland communities based on a Poisson-like model
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A timesaving estimation of per-quadrat species number in grassland communities based on a Poisson-like model

机译：基于类泊松模型的草地群落四足动物物种数量的省时估计

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摘要

In estimating the number of species per quadrat with a given area, we usually need much time and labor, because we have no simple ways to easily count it using hardware. We devised here a software method to estimate the mean number of species by counting them only partially in the survey, and estimating it mathematically. We classify quadrats into three classes composed of k, k + 1 and more than k + 1 species; or classify quadrats into four classes composed of k, k + 1, k + 2, and more than k + 2 (referred to as "censored sampling"), where k is the minimum number of species per quadrat. We do not need to count more than k + 2 or k + 3 species, respectively. Using only these 3 or 4 numerals we can estimate the mean of number of species per quadrat, the 95% confidence intervals for the mean and know the spatial pattern value such as aggregated, random or uniform pattern of the number of species per quadrat. Using this method, 10-20% time and labor in counting will be saved compared to the full census. The estimates are obtained through the maximum likelihood calculation. Computer programs to estimate the mean number of species per quadrat are attached as ESMs.
机译：在估计给定面积内每个四足动物的物种数量时，我们通常需要大量时间和劳力，因为我们没有简单的方法可以使用硬件轻松地对其进行计数。我们在这里设计了一种软件方法，可通过在调查中仅对部分物种进行平均计数并进行数学估算来估算物种的平均数量。我们将四边形分为三类，分别由k，k + 1和k + 1个以上的物种组成。或将四方动物分为由k，k + 1，k + 2和大于k + 2组成的四类（称为“审查抽样”），其中k是每方动物的最小物种数。我们不需要分别计数超过k + 2或k + 3种。仅使用这3或4个数字，我们就可以估计每方类物种数的平均值，平均值的95％置信区间，并知道空间模式值，例如每方类物种数的聚集，随机或均匀模式。与完整的普查相比，使用此方法可以节省10-20％的时间和人工。估计是通过最大似然计算获得的。附有用于估计每方类物种平均数量的计算机程序作为ESM。

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