XTBG OpenIR  > Integrative Conservation
Can Distance Sampling be Used to Estimate the Abundance of Mountain Ungulates? A Comparison of Distance Sampling and Double-Observer Survey Methods?
Xiao, Lingyun1; Liu, Yanlin2,3; Weckworth, Byron4,5; Corlatti, Luca6; Lu, Zhi1
2025
Source PublicationINTEGRATIVE CONSERVATION
ISSN2770-9329
Volume4Issue:3Pages:302-309
Abstract

Robust population surveys and monitoring of ungulates in mountainous areas are hindered by complex terrain and limited access to remote regions. Distance sampling, a widely used method for surveying ungulates in non-mountainous habitats, faces challenges in such environments due to violations of key assumptions. In this study, we examine the assumptions underlying distance sampling and explore how they can be addressed in mountainous terrain. We then applied distance sampling to estimate the abundance of bharal (Pseudois nayaur) on the Tibetan Plateau and compared the results with estimates from the double-observer survey method, which is commonly used for mountain ungulates. Both methods produced highly comparable estimates-2189 from distance sampling and 2038 from the double-observer survey-approximately twice as high as the total count (963). Distance sampling yielded a wider confidence interval (95% CI: 1207-3972) than the double-observer survey (95% CI: 1405-2670). We recommend using distance sampling when human resources are limited or when the closed population assumption is difficult to meet. Otherwise, the double-observer method is preferable due to its narrower confidence intervals and greater ability to detect population changes. 

Keywordbharal (Pseudois nayaur) distance sampling double-observer survey mountain ungulates Pseudois nayaur
Subject AreaBiodiversity & Conservation
DOI10.1002/inc3.70038
Language英语
WOS IDWOS:001568001000001
Citation statistics
Document Type期刊论文
Identifierhttps://ir.xtbg.ac.cn/handle/353005/15774
CollectionIntegrative Conservation
Affiliation1.Xian Jiaotong Liverpool Univ, Dept Hlth & Environm Sci, Suzhou, Jiangsu, Peoples R China
2.Peking Univ, Sch Life Sci, Beijing, Peoples R China
3.Qinghai Normal Univ, Sch Life Sci, Xining, Qinghai, Peoples R China
4.Shanshui Conservat Ctr, Beijing, Peoples R China
5.Panthera, New York, NY USA
6.Univ Montana, Sch Publ & Community Hlth Sci, Missoula, MT USA
7.Univ Freiburg, Chair Wildlife Ecol & Management, Freiburg, Baden Wurttembe, Germany
Recommended Citation
GB/T 7714
Xiao, Lingyun,Liu, Yanlin,Weckworth, Byron,et al. Can Distance Sampling be Used to Estimate the Abundance of Mountain Ungulates? A Comparison of Distance Sampling and Double-Observer Survey Methods?[J]. INTEGRATIVE CONSERVATION,2025,4(3):302-309.
APA Xiao, Lingyun,Liu, Yanlin,Weckworth, Byron,Corlatti, Luca,&Lu, Zhi.(2025).Can Distance Sampling be Used to Estimate the Abundance of Mountain Ungulates? A Comparison of Distance Sampling and Double-Observer Survey Methods?.INTEGRATIVE CONSERVATION,4(3),302-309.
MLA Xiao, Lingyun,et al."Can Distance Sampling be Used to Estimate the Abundance of Mountain Ungulates? A Comparison of Distance Sampling and Double-Observer Survey Methods?".INTEGRATIVE CONSERVATION 4.3(2025):302-309.
Files in This Item: Download All
File Name/Size DocType Version Access License
Can Distance Samplin(1012KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xiao, Lingyun]'s Articles
[Liu, Yanlin]'s Articles
[Weckworth, Byron]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xiao, Lingyun]'s Articles
[Liu, Yanlin]'s Articles
[Weckworth, Byron]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xiao, Lingyun]'s Articles
[Liu, Yanlin]'s Articles
[Weckworth, Byron]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Can Distance Sampling be Used to Estimate the Abundance of Mountain Ungulates A Comparison of Distance Sampling and Double-Observer Survey Methods.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.