黑叶猴个体识别的新方法：基于腹股沟白斑斑纹观测

doi:10.16829/j.slxb.150732

兽类学报 ›› 2024, Vol. 44 ›› Issue (2): 247-251.DOI: 10.16829/j.slxb.150732

黑叶猴个体识别的新方法：基于腹股沟白斑斑纹观测

颜修刚¹, 齐晓光², 郭艳清², 张鹏¹, 吴安康¹, 杨朝辉¹

1 贵州麻阳河国家级自然保护区管理局, 沿河 565300;
2 西北大学生命科学学院, 西安 710000

收稿日期:2022-09-03 修回日期:2023-04-12 出版日期:2024-03-30 发布日期:2024-04-03
通讯作者: 颜修刚，E-mail:yxg5542@163.com
作者简介:颜修刚(1985-)，男，工程师，主要从事野生动植物保护研究.
基金资助:
贵州省林业局林业优秀青年人才培养专项基金项目(黔林科合J字〔2022〕16号)；贵州省林业局林业优秀青年人才培养专项资金项目(黔林科合J字〔2014〕07号)

A new method for identifying individuals of François's langur based on observations of white spots on the groin

YAN Xiugang¹, QI Xiaoguang², GUO Yanqing², ZHANG Peng¹, WU Ankang¹, YANG Zhaohui¹

1 Mayanghe National Nature Reserve, Yanhe 565300, China;
2 College of Life Sciences, Northwest University, Xi'an 710000, China

Received:2022-09-03 Revised:2023-04-12 Online:2024-03-30 Published:2024-04-03

摘要/Abstract

关键词: 黑叶猴, 野生种群, 个体识别, 白斑斑纹

Abstract: The François’s langur (Trachypithecus francoisi) is a nationally protected animal in China. Individual identification of the François’s langurs is essential for monitoring, research, and conservation management. Mayanghe National Nature Reserve in Guizhou Province is the largest habitat for wild populations of the François’s langur. In this study, three groups of wild François’s langurs within the experimental area of Mayanghe Reserve were selected. The instantaneous scan sampling method was used to observe the gibbon groups, and digital cameras were used to photograph the ventral groin patches of 16 adult and sub-adult females. By comparing the results, we found that there were individual differences in the patterns of ventral groin patches among François’s langurs, suggesting that these patterns can be used as a method for identifying individuals. This study provides new insights and research methods for individual identification of François’s langurs and contributes to the fundamental data for studying their behavior in the wild. Furthermore, it offers a scientific basis for the conservation and management of François’s langurs.

Key words: François's langur, Wild population, Individual identification, White spots

中图分类号:

Q958.1

颜修刚, 齐晓光, 郭艳清, 张鹏, 吴安康, 杨朝辉. 黑叶猴个体识别的新方法：基于腹股沟白斑斑纹观测[J]. 兽类学报, 2024, 44(2): 247-251.

YAN Xiugang, QI Xiaoguang, GUO Yanqing, ZHANG Peng, WU Ankang, YANG Zhaohui. A new method for identifying individuals of François's langur based on observations of white spots on the groin[J]. ACTA THERIOLOGICA SINICA, 2024, 44(2): 247-251.

参考文献

Crouse D, Jacobs R L, Richardson Z, Klum S, Jain A, Baden A L, Tecot S R. 2017. LemurFaceID:A face recognition system to facilitate individual identification of lemurs. BMC Zoology, 2(1):2.
Cronin K A. 2012. Prosocial behaviour in animals:the influence of social relationships, communication and rewards. Animal Behaviour, 84 (5):1085-1093.
Fang N. 2017. Research and Implement of gold monkey recognition based on convolutional neural network. Master thesis. Xi'an:Xid ian University. (in Chinese)
Gu J Y, Liu H, Jiang G S. 2013. A review potential techniaues for in dentifying individual Amur tigers (Panthera tigris altaica), Heilongjiang. Chinese Journal of Wildlife, 34 (4):229-237. (in Chinese)
Pan R L, Peng Y Z, Ye Z Z. 1989. Body proportion of François'leaf monkey. Acta Theriologica Sinica, 9 (4):247-253. (in Chinese)
Hu G, Dong X, Luo H Z, Su X W, Li D Y, Zhou C Q. 2011. The distribution and population dynamics of François'langur over the past two decades in Guizhou, China and threats to its survival, Acta Theriologica Sinica, 31 (3):306-311. (in Chinese)
Huang S L, Hu D F, Chen L. 2016. Study on application of passive integrated transponder (PIT) in wildlife individual identification.Chinese Journal of Wildlife, 37 (2):172-177. (in Chinese)
Niu K F, Xiao Z, Wang B, Yang D, Chia L T, Zhang P, Yan X G, Wang H, Yu B, Yang T Y, Fan J D, Cui D Y, Zou Q X, Wu A K, Wei L M, Zou H, Marco G, Cristina G, Yang Y Q. 2016. Population estimates and distribution of François'langurs (Trachypithecus francoisi) in Mayanghe National Nature Reserve, China. Chinese Journal of Zoology, 51 (6):925-938. (in Chinese)
Wang G W. 2018. The research on face recognition of Sichuan golden monkey. Master thesis. Xi'an:Northwest University. (in Chinese)
Qi X G, Grueter C C, Fang G, Huang P Z, Zhang J, Duan Y M, Huang Z P, Garber P A, Li B G. 2020. Multilevel societies facilitate in fanticide avoidance through increased extrapair matings. Animal Behaviour, 161:127-137.
Zhang B W. 2005. Genetic diversity, population genetic structre and population history of giant pandas (Ailuropoda melanoleuca).Ph. D thesis. Beijing:Chinese Academy of Sciences. (in Chinese)
Zhang O P, Ding Z G, Peng J C. 2011. Integrated method for eye recognition and its application. Computer Engineering, 37 (9):223-225. (in Chinese)
王革伟. 2018. 川金丝猴面部识别方法研究. 西安:西北大学硕士学位论文.
牛克峰, 肖志, 王彬, 杨德, Chia L Tan, 张鹏, 颜修刚, 王华, 余波, 杨天友, 樊均德, 崔多英, 邹启先, 吴安康, 魏鲁明, 邹浩, Marco Gamba, Cristina Giacoma, 杨业勤. 2016. 中国麻阳河国家级自然保护区黑叶猴种群数量估计与分布. 动物学杂志, 51 (6):925-938.
方楠. 2017. 基于 CNN 的金丝猴面部识别研究与实现. 西安:西安电子科技大学硕士学位论文.
吴安康. 2004. 贵州麻阳河自然保护区黑叶猴野外人工投食驯化.野生动物, 6:37.
张欧平, 丁志刚, 彭娟春. 2011. 组合型人眼识别方法及其应用. 计算机工程, 37 (9):223-225.
张保卫. 2005. 大熊猫 (Ailuropoda melanoleuca) 遗传多样性、种群遗传结构和种群历史研究. 北京:中国科学院动物研究所博士学位论文.
苟光前, 魏鲁明, 谢双喜. 2017. 贵州麻阳河国家级自然保护区生物多样性研究. 第 1 版. 贵州:贵州科技出版社, 507-511.
胡刚, 董鑫, 罗洪章, 苏欣慰, 黎大勇, 周材权. 2011. 过去二十年贵州黑叶猴分布与种群动态及致危因子分析. 兽类学报, 31 (3):306-311.
顾佳音, 刘辉, 姜广顺. 2013. 东北虎 (Panthera tigris altaica) 个体识别技术研究进展. 野生动物, 34 (4):229-237.
黄松林, 胡德夫, 陈力. 2016. PIT 标记在野生动物个体识别中的应用研究. 野生动物学报, 37 (2):172-177.
黄乘明, 周岐海, 李友邦. 2018. 黑叶猴的行为生态与保护生物学.上海:上海科学技术出版社.
潘汝亮, 彭燕章, 叶智彰. 1989. 黑叶猴外形整体结构的研究. 兽类学报, 9 (4):247-253.

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黑叶猴个体识别的新方法：基于腹股沟白斑斑纹观测

A new method for identifying individuals of François's langur based on observations of white spots on the groin

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