Conservation Genetics and Ecology Group, Mahidol University at Salaya, Salaya, Nakhon Pathom, Thailand.
National Biobank of Thailand, Science Park, Khlong Luang, Pathum Thani, Thailand.
Am J Primatol. 2020 Dec;82(12):e23198. doi: 10.1002/ajp.23198. Epub 2020 Sep 28.
Effective conservation demands more accurate and reliable methods of survey and monitoring of populations. Surveys of gibbon populations have relied mostly on mapping of groups in "listening areas" using acoustical point-count data. Traditional methods of estimating density in have usually used counts of gibbon groups within fixed-radius areas or areas bounded by terrain barriers to sound transmission, and have not accounted for possible decline in detectability with distance. In this study we sampled the eastern hoolock gibbon (Hoolock leucogenys) population in Htamanthi Wildlife Sanctuary (WS), Myanmar, using two methods: the traditional point-count method with fixed-radius listening areas, and a newer method using point-transect Distance analysis from a sample point established in the center of each listening point array. The basic data were obtained by triangulating on singing groups from four LPs for 4 days, in 10 randomly selected sample areas within the sanctuary. The point transect method gave an average density of 3.13 groups km , higher than the estimates of group density within fixed-radius areas without correction for detectability. A new method of analysis of singing probability per day (p[1]) gave an estimate of 0.547. Htamanthi WS is an important conservation area containing an estimated 7000 (95% confidence interval: 5000-10,000) hoolock groups. Surveys at Htamanthi WS and locations in the Hukaung Valley suggest that the extensive evergreen forests in northern Myanmar have the capacity to support 2-4 (average about 3) groups of hoolock gibbons per km , but most forests in its range have yet to be surveyed.
有效的保护需要更准确和可靠的方法来调查和监测种群。对长臂猿种群的调查主要依赖于在“监听区”使用声学点计数数据对群体进行绘图。传统的密度估计方法通常使用在固定半径区域内或受地形屏障限制的区域内的长臂猿群进行计数,并且没有考虑到随着距离的增加而可能降低的可检测性。在这项研究中,我们使用两种方法对缅甸 Htamanthi 野生动物保护区(WS)的东部合趾猿(Hoolock leucogenys)种群进行了采样:传统的具有固定半径监听区的点计数方法,以及一种较新的方法,使用从每个监听点中心建立的采样点进行点-截距距离分析。基本数据是通过对来自四个 LP 的歌唱群体进行三角测量获得的,在保护区内的 10 个随机选择的样本区域进行了四天。点截距方法得出的平均密度为 3.13 个组/km ,高于未经可检测性校正的固定半径区域内的组密度估计值。每天歌唱概率分析的新方法(p[1])给出了 0.547 的估计值。Htamanthi WS 是一个重要的保护区,包含估计有 7000 个(95%置信区间:5000-10000)合趾猿群。在 Htamanthi WS 和 Hukaung 山谷的地点进行的调查表明,缅甸北部的常绿森林具有支持 2-4 个(平均约 3 个)合趾猿群/km 的能力,但它的大部分森林尚未进行调查。