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The line transect method for estimating densities of large mammals in a tropical deciduous forest: An evaluation of models and field experiments

机译:估算热带落叶林中大型哺乳动物密度的线样线方法:模型评估和田间试验

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摘要

We have evaluated techniques of estimating animal density through direct counts using line transects during 1988-92 in the tropical deciduous forests of Mudumalai Sanctuary in southern India for four species of large herbivorous mammals, namely, chital (Axis axis), sambar (Cervus unicolor), Asian elephant (Elephas maximus) and gaur (Bos gauras).udDensity estimates derived from the Fourier Series and the Half-Normal models consistently had the lowest coefficient of variation. These two models also generated similar mean density estimates. For the Fourier Series estimator, appropriate cut-off widths for analysing line transect data for the four species are suggested. Grouping data into various distance classes did not produce any appreciable differences in estimates of mean density or their variances, although model fit is generally better when data are placed in fewer groups. The sampling effort needed to achieve a desired precision (coefficient of variation) in the density estimate is derived. A sampling effort of 800 km of transects returned a 10% coefficient of variation on estimate for chital; for the other species a higher effort was needed to achieve this level of precision. There was no statistically significant relationship between detectability of a group and the size of the group for any species. Density estimates along roads were generally significantly different from those in the interior af the forest, indicating that road-side counts may not be appropriate for most species.
机译:我们已经评估了在1988-92年间使用线样样在印度南部的Mudumalai保护区的热带落叶森林中对线下样的动物进行密度估算的技术,该技术对四种大型草食性哺乳动物进行了分类,即手性(轴轴),水鹿(单色鹿) ,亚洲象(Elephas maximus)和gaur(Bos gauras)。 ud从傅里叶级数和Half-Normal模型得出的密度估计始终具有最低的变异系数。这两个模型还生成了相似的平均密度估计值。对于傅里叶级数估计器,建议使用适当的截止宽度来分析这四个物种的线样数据。将数据分组为各种距离类别并不会在平均密度或其方差的估计值上产生任何明显的差异,尽管将数据放在较少的组中通常模型拟合更好。得出在密度估计中实现所需精度(变化系数)所需的采样工作。 800 km样点的采样工作返回了10%的手性估计变异系数;对于其他物种,则需要付出更大的努力才能达到此精确水平。对于任何物种,一个组的可检测性与该组的大小之间没有统计学上的显着关系。沿道路的密度估计值通常与森林内部的估计值显着不同,这表明路边计数可能不适用于大多数物种。

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