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Vocal fingerprinting reveals a substantially smaller global population of the Critically Endangered cao vit gibbon (Nomascus nasutus) than previously thought
被引:0
|作者:
Oliver R. Wearn
Hoang Trinh-Dinh
Chang-Yong Ma
Quyet Khac Le
Phuong Nguyen
Tuan Van Hoang
Chuyen Van Luong
Tru Van Hua
Quan Van Hoang
Peng-Fei Fan
Tho Duc Nguyen
机构:
[1] Fauna & Flora,School of Bioresources and Technology
[2] King Mongkut’s University of Technology Thonburi,College of Life Sciences
[3] Guangxi Normal University,Trung Khanh Ranger Station, Forest Protection Department
[4] Ministry of Agriculture and Rural Development,School of Life Sciences
[5] Sun Yat-sen University,undefined
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摘要:
The cao vit gibbon (Nomascus nasutus) is one of the rarest primates on Earth and now only survives in a single forest patch of less than 5000 ha on the Vietnam–China border. Accurate monitoring of the last remaining population is critical to inform ongoing conservation interventions and track conservation success over time. However, traditional methods for monitoring gibbons, involving triangulation of groups from their songs, are inherently subjective and likely subject to considerable measurement errors. To overcome this, we aimed to use ‘vocal fingerprinting’ to distinguish the different singing males in the population. During the 2021 population survey, we complemented the traditional observations made by survey teams with a concurrent passive acoustic monitoring array. Counts of gibbon group sizes were also assisted with a UAV-mounted thermal camera. After identifying eight family groups in the acoustic data and incorporating long-term data, we estimate that the population was comprised of 74 individuals in 11 family groups, which is 38% smaller than previously thought. We have no evidence that the population has declined—indeed it appears to be growing, with new groups having formed in recent years—and the difference is instead due to double-counting of groups in previous surveys employing the triangulation method. Indeed, using spatially explicit capture-recapture modelling, we uncovered substantial measurement error in the bearings and distances from field teams. We also applied semi- and fully-automatic approaches to clustering the male calls into groups, finding no evidence that we had missed any males with the manual approach. Given the very small size of the population, conservation actions are now even more urgent, in particular habitat restoration to allow the population to expand. Our new population estimate now serves as a more robust basis for informing management actions and tracking conservation success over time.
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