Abstract In Southeast Asia, the Annamite mountains and Central Vietnam lowlands are two of the most prioritized areas for preventing the extinction of large populations of phasianids. Ground-feeding birds in Southeast Asia may be going extinct, both inside and outside the protected areas, due to habitat loss and poaching, especially, snaring. Being endemic to the mainland of Southeast Asia, the crested argus is one of the largest and most threatened species of Phasianidae. Indeed, the crested argus has recently been upgraded to the “endangered” category from the “near-threatened” category in the IUCN RedList. Quantitative data on the occurrence of the crested argus for guiding conservation efforts is poor. Additionally, information on the species’ ecology is limited. In this study, we used autonomous recorders to detect the presence of the crested argus and to estimate its occurrence probability in Song Thanh Nature Reserve, Vietnam. We also examined the effects of environmental variables on the species’ distribution in space. We used four Song Meter SM3 recorders to record the calls of the crested argus at 38 recording posts from February to April 2019. We used RAVEN software to analyze the sound data. We used the Occupancy Estimation in MARK to estimate the detection probability and the occurrence probability. Elevation had a slight negative effect on occurrence probability. The occurrence probability of the crested argus was high (0.88; CI: 0.60−0.97). The high occurrence probability in the Song Thanh Nature Reserve reveals the importance of this protected area in galliform species conservation in general and for the crested argus in particular.

中文翻译：

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使用自主记录器和生物声学监测安南山地貌中的全球濒危野生动物：Song THANH 自然保护区中的凤头阿格斯案例研究

摘要 在东南亚，安南山脉和越南中部低地是防止大量雉科动物灭绝的两个最优先考虑的地区。由于栖息地丧失和偷猎，特别是圈套，东南亚的陆生鸟类可能会在保护区内外灭绝。作为东南亚大陆的特有种，凤头阿格斯是雉科中最大和最受威胁的物种之一。事实上，凤头阿格斯最近已从 IUCN 红色名录中的“近危”类别升级为“濒危”类别。用于指导保护工作的凤头鹦鹉出现的定量数据很少。此外，关于该物种生态的信息是有限的。在这项研究中，我们使用自动记录器来检测凤头阿格斯的存在并估计其在越南松城自然保护区的出现概率。我们还研究了环境变量对物种空间分布的影响。我们使用四台Song Meter SM3录音机记录了2019年2月至2019年4月38个录音站的凤头阿格斯的叫声。我们使用RAVEN软件分析了声音数据。我们使用MARK中的Occupancy Estimation来估计检测概率和发生概率。海拔对发生概率有轻微的负面影响。凤头鱼的出现概率较高（0.88；CI：0.60-0.97）。