被动声学监测技术在西黑冠长臂猿监测中的应用

doi:10.17520/biods.2020215

生物多样性 ›› 2021, Vol. 29 ›› Issue (1): 109-117. DOI: 10.17520/biods.2020215 cstr: 32101.14.biods.2020215

被动声学监测技术在西黑冠长臂猿监测中的应用

钟恩主¹(), 管振华¹^,²(), 周兴策¹, 赵友杰¹, 李函³, 谭绍斌⁴, 胡坤融¹^,^*()()

1.西南林业大学大数据与智能工程学院, 昆明 650224
2.西南林业大学云南生物多样性研究院, 昆明 650224
3.哀牢山国家级自然保护区, 云南楚雄 675000
4.楚雄彝族自治州森林和草原资源监测站, 云南楚雄 675000

收稿日期:2020-05-26 接受日期:2020-07-31 出版日期:2021-01-20 发布日期:2020-09-11
通讯作者: 胡坤融
基金资助:
国家自然科学基金(31960142);云南省教育厅科学研究基金(2017ZZX212);云南省专业学位研究生教学案例库项目;云南省高校优势特色重点学科(生物学)建设项目

Application of passive acoustic monitoring technology in the monitoring of western black crested gibbons

Enzhu Zhong¹(), Zhenhua Guan¹^,²(), Xingce Zhou¹, Youjie Zhao¹, Han Li³, Shaobin Tan⁴, Kunrong Hu¹^,^*()()

1 College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224
2 Yunnan Academy of Biodiversity, Southwest Forestry University, Kunming 650224
3 Ailao Mountain National Nature Reserve, Chuxiong, Yunnan 675000
4 Monitoring Station of Forest and Grassland Resources in Chuxiong Yi Autonomous Prefecture, Chuxiong, Yunnan 675000

Received:2020-05-26 Accepted:2020-07-31 Online:2021-01-20 Published:2020-09-11
Contact: Kunrong Hu

摘要/Abstract

摘要：

近年来, 被动声学监测技术被广泛应用于陆生哺乳动物的监测, 它能以较低的价格和非侵入的方式在特定区域进行野生动物无人值守监测, 面临的主要问题是需要人工收回数据和后期数据分析整理较为困难。本研究设计了一套被动声学监测系统用于西黑冠长臂猿(Nomascus concolor)监测, 监测系统在野外由太阳能供电, 使用自研的指向性拾音器阵列采集鸣声数据, 并通过无线网桥实时传输数据至管护局办公楼的服务器进行存储, 通过后台的鸣声数据管理系统辅助研究人员识别鸣声和辨认鸣声来源方向, 简化数据采集和处理流程。该系统在哀牢山国家级自然保护区枇杷箐科研监听点对两个西黑冠长臂猿群体进行了351天的连续监测, 特点为: 系统运行长期稳定, 数据通过无线方式传输便捷高效且不受季节天气影响。指向性拾音器阵列能有效分辨长臂猿鸣声来源方向, 弥补了传统监测设备难以分辨鸣声方向的缺陷。该系统与现有人工监测方法相比在数据采集的持续性、连续性、完整度以及鸣声数据处理智能化和监测成本方面均具有一定优势, 符合西黑冠长臂猿持续长期监测需求, 未来可作为西黑冠长臂猿自动化监测的解决方案进行推广应用。

关键词: 被动声学监测, 指向性拾音器阵列, 西黑冠长臂猿, 声源定位

Abstract

Aims: Passive acoustic monitoring technology has begun to be widely used for monitoring terrestrial mammals. Such technology enables the unattended monitoring of wildlife in specific areas at a low-cost and in a non-invasive manner. The main problem, however, is the need to manually retrieve the data. Moreover, the subsequent data analysis and sorting can be complicated.
Innovation: In this study, a passive acoustic monitoring system was designed for monitoring the western black crested gibbon (Nomascus concolor). The monitoring system is powered by solar energy in the field. Sound data are collected by a directional pick-up array. The data are transmitted through a wireless network to a server in the management office building. Researchers are assisted in identifying the sound and the direction of the sound by using the sound-data management system, which simplifies data collection and processing.
Significance: This system has been continuously monitoring two groups of western black crested gibbons for at least 351 days at the monitoring site (of Pipaqing in the Ailao Mountain Nature Reserve). Monitoring results up until now demonstrate that the system has had a long continuous run-time and is not affected by the weather conditions; data transmission is convenient and efficient; the directions of sound source can be determined by the directional pick-up array well, overcoming the shortcomings of traditional monitoring equipment. This system has advantages over manual monitoring methods in terms of data continuity and integrity, intelligence in data processing, and monitoring costs. This system meets the continuous long-term monitoring needs of western black crested gibbons, and can be improved and applied in the future as an automated solution for the monitoring of this primate species.

Key words: passive acoustic monitoring, directional pick-up array, western black crested gibbon, sound source localization

钟恩主, 管振华, 周兴策, 赵友杰, 李函, 谭绍斌, 胡坤融 (2021) 被动声学监测技术在西黑冠长臂猿监测中的应用. 生物多样性, 29, 109-117. DOI: 10.17520/biods.2020215.

Enzhu Zhong, Zhenhua Guan, Xingce Zhou, Youjie Zhao, Han Li, Shaobin Tan, Kunrong Hu (2021) Application of passive acoustic monitoring technology in the monitoring of western black crested gibbons. Biodiversity Science, 29, 109-117. DOI: 10.17520/biods.2020215.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.biodiversity-science.net/CN/10.17520/biods.2020215

https://www.biodiversity-science.net/CN/Y2021/V29/I1/109

图/表 10

图1 被动声学监测系统架构

Fig. 1 Passive acoustic monitoring system architecture

图2 指向性拾音器阵列。(a)示意图; (b)实物图。

Fig. 2 The directional pick-up array. (a) Schematic diagram; (b) Picture of real products.

图3 无线传输线路及实物图。(a)传输线路示意; (b)监测点; (c)中继点; (d)防火瞭望塔; (e)管护局办公室。

Fig. 3 Wireless transmission line and physical figure. (a) Transmission lines diagram; (b) Monitoring point; (c) Relaying transmission point; (d) Fire watch tower; (e) Office of the administration.

图4 鸣叫方向辨认过程

Fig. 4 Call direction recognition process

图5 2018年9月15日至2019年8月31日西黑冠长臂猿鸣声监测结果统计

Fig. 5 Statistics of monitoring results of western black crested gibbon song from September 15, 2018 to August 31, 2019

图6 监测点附近成年雄性西黑冠长臂猿不同鸣叫类型的声谱图。a, b: 重复音节; c, d: 弱调节音节; e, f: 强调节音节。

Fig. 6 The sonogram of adult western black crested gibbon male’s call types in monitoring station. a, b: Aa notes; c, d: Weakly modulated figures; e, f: Modulated figures.

图7 监测点附近雌性西黑冠长臂猿不同类型激动鸣叫的声谱图

Fig. 7 The sonogram of adult western black crested gibbon female’s great call types in monitoring station

表1 鸣声样本声强检测结果及对应西黑冠长臂猿群体

Table 1 Sound intensity detection results of the call samples and corresponding population of the western black crested gibbon

日期 Date	鸣声声强 Intensity of calls (dB)						群体 Group
日期 Date	No.1	No.2	No.3	No.4	No.5	No.6	群体 Group
2018/9/17	9.438	64.29	42.22	40.84	13.17	39.2	G1
2018/9/20	-	53.22	57.47	63.77	11.96	56.21	G2
2018/10/22	-	57.87	24.36	-	-	-	G1
2019/5/7	-	43.41	39.02	31.91	10.38	-	G1
2019/5/8	-	25.44	56.75	34.49	-	-	G2
2019/5/23	8.7	65.88	43.07	41.66	-	-	G1
2019/6/25	-	58.54	-	38.68	30.9	-	G1
2019/6/29	-	-	38.62	56.87	-	-	G2

图8 监测点附近西黑冠长臂猿鸣叫方向示意

Fig. 8 Call directions of the western black crested gibbon in monitoring station

图9 监测点附近西黑冠长臂猿鸣叫方向

Fig. 9 Call directions of the western black crested gibbon in monitoring station

参考文献 20

[1]	Aide TM, Corrada-Bravo C, Campos-Cerqueira M (2013) Real-time bioacoustics monitoring and automated species identification. PeerJ, 1, e103. URL PMID
[2]	Blumstein DT, Mennill DJ, Clemins P, Girod L, Yao K, Patricelli G, Deppe JL, Krakauer AH, Clark C, Cortopassi KA, Hanser SF, McCowan B, Ali AM, Kirschel ANG (2011) Acoustic monitoring in terrestrial environments using microphone arrays: Applications, technological considerations and prospectus. Journal of Applied Ecology, 48, 758-767.
[3]	Brockelman WY, Srikosamatara S (1993) Estimation of density of gibbon groups by use of loud songs. American Journal of Primatology, 29, 93-108. URL PMID
[4]	Chesmore ED, Ohya E (2004) Automated identification of field-recorded songs of four British grasshoppers using bioacoustic signal recognition. Bulletin of Entomological Research, 94, 319-330. URL PMID
[5]	Enari H, Enari H, Okuda K, Yoshita M, Kuno T, Okuda K (2017) Feasibility assessment of active and passive acoustic monitoring of sika deer populations. Ecological Indicators, 79, 155-162.
[6]	Fan PF, Jiang XL, Liu CM, Luo WS (2010) Sonogram structure and timing of duets of western black crested gibbon in Wuliang Mountain. Zoological Research, 31, 293-302. (in Chinese with English abstract)
	[ 范朋飞, 蒋学龙, 刘长铭, 罗文寿 (2010) 无量山西黑冠长臂猿二重唱的声谱结构和时间特征. 动物学研究, 31, 293-302.]
[7]	Fan PF, Xiao W, Huo S, Jiang XL (2009) Singing behavior and singing functions of black-crested gibbons (Nomascus concolor jingdongensis) at Mt. Wuliang, central Yunnan, China. American Journal of Primatology, 71, 539-547. URL PMID
[8]	Guan ZH, Yan L, Huang B (2017) Population monitoring of gibbons in China. Sichuan Journal of Zoology, 36, 232-238. (in Chinese with English abstract)
	[ 管振华, 阎璐, 黄蓓 (2017) 中国长臂猿科动物种群监测现状分析. 四川动物, 36, 232-238.]
[9]	IUCN (2020) The IUCN Red List of Threatened Species. Version 2020-1. https://www.iucnredlist.org. (accessed on 2020-03-19)
[10]	Kalan AK, Mundry R, Wagner OJ, Heinicke S, Boesch C, Kühl HS (2015) Towards the automated detection and occupancy estimation of primates using passive acoustic monitoring. Ecological Indicators, 54, 217-226.
[11]	Kalan AK, Piel AK, Mundry R, Wittig RM, Boesch C, Kühl HS (2016) Passive acoustic monitoring reveals group ranging and territory use: A case study of wild chimpanzees (Pan troglodytes). Frontiers in Zoology, 13, 1-11.
[12]	MacSwiney GMC, Clarke FM, Racey PA (2008) What you see is not what you get: The role of ultrasonic detectors in increasing inventory completeness in Neotropical bat assemblages. Journal of Applied Ecology, 45, 1364-1371.
[13]	McCowan I (2001) Robust Speech Recognition Using Microphone Arrays. PhD dissertation, Queensland University of Technology, Brisbane.
[14]	Swiston KA, Mennill DJ (2009) Comparison of manual and automated methods for identifying target sounds in audio recordings of pileated, pale-billed, and putative ivory-billed woodpeckers. Journal of Field Ornithology, 80, 42-50.
[15]	Sun GZ, Bei H, Geissmann T, Jiang XL (2011) Individuality in male songs of wild black crested gibbons (Nomascus concolor). American Journal of Primatology, 73, 431-438. URL PMID
[16]	Sun GZ, Ni QY, Huang B, Guan ZH, Li XP, Jiang XL (2012) The population number, distribution and current situation of the western black crowned gibbon. Forestry Construction, (1), 38-44. (in Chinese)
	[ 孙国政, 倪庆永, 黄蓓, 管振华, 李小平, 蒋学龙 (2012) 西黑冠长臂猿的种群数量、分布与现状. 林业建设, (1), 38-44.]
[17]	Spillmann B, Maria VN, Willems EP, Setia TM, Wipfli U, Schaik CPV (2015) Validation of an acoustic location system to monitor Bornean orangutan (Pongo pygmaeus wurmbii) long calls. American Journal of Primatology, 77, 767-776. URL PMID
[18]	Thompson ME, Schwager SJ, Payne KB (2010) Heard but not seen: An acoustic survey of the African forest elephant population at Kakum Conservation Area, Ghana. African Journal of Ecology, 48, 224-231.
[19]	Watkins WA, Schevill WE (1972) Sound source location by arrival-times on a non-rigid three-dimensional hydrophone array. In: Deep Sea Research and Oceanographic Abstracts, pp. 691-706. Elsevier, Woods Hole.
[20]	Zhou XC, Guan ZH, Zhong EZ, Dong YY, Li H, Hu KR (2019) Automated monitoring of western black crested gibbon population based on voice characteristics. In: 2019 IEEE 5th International Conference on Computer and Communications, pp. 1383-1387. IEEE, Chengdu.

被动声学监测技术在西黑冠长臂猿监测中的应用

Application of passive acoustic monitoring technology in the monitoring of western black crested gibbons

RichHTML

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 20

相关文章 11

编辑推荐

Metrics

本文评价

[1]	白皓天, 余上, 潘新园, 凌嘉乐, 吴娟, 谢恺琪, 刘阳, 陈学业. AI辅助识别的鸟类被动声学监测在城市湿地公园中的应用[J]. 生物多样性, 2024, 32(8): 24188-.
[2]	谢将剑, 沈忱, 张飞宇, 肖治术. 融合音频及生态位信息的跨地域鸟类物种识别方法[J]. 生物多样性, 2024, 32(10): 24259-.
[3]	郭倩茸, 段淑斐, 谢捷, 董雪燕, 肖治术. 鸟声标注技术及其在被动声学监测中的应用[J]. 生物多样性, 2024, 32(10): 24313-.
[4]	陈蕾, 许志勇, 苏菩坤, 赖小甜, 赵兆. 依频声学多样性指数用于人类活动区域的适用能力[J]. 生物多样性, 2024, 32(10): 24286-.
[5]	刘莹莹, 龚立新, 曾皓, 冯江, 董永军, 王磊, 江廷磊. 被动声学监测在蝙蝠研究中的应用[J]. 生物多样性, 2024, 32(10): 24233-.
[6]	黄万涛, 郝泽周, 张梓欣, 肖治术, 张承云. 被动声学监测设备性能比较及对鸟声识别的影响[J]. 生物多样性, 2024, 32(10): 24273-.
[7]	李乐, 张承云, 裴男才, 高丙涛, 王娜, 李嘉睿, 武瑞琛, 郝泽周. 基于被动声学监测技术的城市绿地景观格局与鸟类多样性关联分析[J]. 生物多样性, 2024, 32(10): 24296-.
[8]	郝泽周, 张承云, 李乐, 高丙涛, 曾伟, 王淳, 王梓炫, 黄万涛, 张悦, 裴男才, 肖治术. 城市鸟类多样性被动声学监测与评价技术应用[J]. 生物多样性, 2024, 32(10): 24123-.
[9]	肖治术, 崔建国, 王代平, 王志陶, 罗金红, 谢捷. 现代生物声学的学科发展趋势及中国机遇[J]. 生物多样性, 2023, 31(1): 22423-.
[10]	马海港, 范鹏来. 被动声学监测技术在陆生哺乳动物研究中的应用、进展和展望[J]. 生物多样性, 2023, 31(1): 22374-.
[11]	吴科毅, 阮文达, 周棣锋, 陈庆春, 张承云, 潘新园, 余上, 刘阳, 肖荣波. 基于音节聚类分析的被动声学监测技术及其在鸟类监测中的应用[J]. 生物多样性, 2023, 31(1): 22370-.