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普查灵长类群体的新方法:通过点计数法估算日本猕猴的群体密度。

New method to census primate groups: estimating group density of Japanese macaques by point census.

作者信息

Hanya Goro, Yoshihiro Shinichi, Zamma Koichiro, Kubo Ritsuko, Takahata Yukio

机构信息

Department of Zoology, Graduate School of Science, Kyoto University, Kyoto, Japan.

出版信息

Am J Primatol. 2003 Jun;60(2):43-56. doi: 10.1002/ajp.10079.

Abstract

We devised a new method to estimate the density of primate groups in habitats that preclude the use of a line-transect census because the ground is too steep. We combined point census and group follows. From the number of groups counted at a fixed point for an hour, n, group density D was calculated: D = lambda n / pi. Lambda, the detectability constant, was a constant when distance-dependent detectability g(y) was regressed on a half-normal model: g(y) = e (-lambda y(2)) and can be estimated by combining the information of group follow and point census. Using this method, we estimated the group density of Japanese macaques in Yakushima. A census area of 7 km(2) was divided into 28 grid squares (500 m x 500 m). One observer was positioned at a point in each grid square, and those points were censused simultaneously for 4-6 days from 0600-0700 to 1500-1600 hr. Four troops were followed for 144 hr during the point census. Distance-dependent detectability closely correlated with the half-normal model. The detectability constant varied with the time of day, but it was not influenced by troop identity or topography. Group density was calculated to be 1.48 +/- 0.61 and 0.701 +/- 0.432 groups/km(2) in the disturbed and undisturbed areas, respectively (95% confidence limit). "True" group density estimated by home range data was within the confidence limit calculated by a point census in the home range of the troops for two troops, suggesting that this method was valid. This method is applicable to other species as long as at least one group can be followed, because it satisfies the fundamental assumptions of point census, and the detectability does not seem to be biased by troop or topography.

摘要

我们设计了一种新方法来估算灵长类动物群体在某些栖息地中的密度,这些栖息地因地面过于陡峭而无法采用线 transect 普查法。我们将定点普查和群体跟踪相结合。根据在一个固定点一小时内统计到的群体数量(n),计算群体密度(D):(D = \lambda n / \pi)。当距离依赖性可探测性(g(y))根据半正态模型进行回归时,可探测性常数(\lambda)是一个常数:(g(y) = e^{(-\lambda y^2)}),并且可以通过结合群体跟踪和定点普查的信息来估算。使用这种方法,我们估算了屋久岛日本猕猴的群体密度。一个(7)平方公里的普查区域被划分为(28)个网格方块((500)米×(500)米)。一名观察者被安置在每个网格方块中的一个点上,这些点在(0600 - 0700)至(1500 - 1600)小时期间同时进行了(4 - 6)天的普查。在定点普查期间,对四个猴群进行了(144)小时的跟踪。距离依赖性可探测性与半正态模型密切相关。可探测性常数随一天中的时间而变化,但不受猴群身份或地形的影响。在受干扰和未受干扰区域,群体密度分别计算为(1.48 \pm 0.61)和(0.701 \pm 0.432)个群体/平方公里((95%)置信区间)。通过家域数据估算的“真实”群体密度在两个猴群家域内通过定点普查计算出的置信区间内,这表明该方法是有效的。这种方法适用于其他物种,只要至少能跟踪一个群体,因为它满足定点普查的基本假设,并且可探测性似乎不会因猴群或地形而产生偏差。

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