Latest Cover

Online Office

Contact Us

Issue:ISSN 1000-7083
          CN 51-1193/Q
Director:Sichuan Association for Science and Technology
Sponsored by:Sichuan Society of Zoologists; Chengdu Giant Panda Breeding Research Foundation; Sichuan Association of Wildlife Conservation; Sichuan University
Address:College of Life Sciences, Sichuan University, No.29, Wangjiang Road, Chengdu, Sichuan Province, 610064, China
Tel:+86-28-85410485
Fax:+86-28-85410485
Email:scdwzz@vip.163.com & scdwzz001@163.com
Your Position :Home->Past Journals Catalog->2019 Vol.38 No.1

Infrared Camera Survey on the Diversity of Mammals and Birds in Qianfoshan National Nature Reserve, Sichuan
Author of the article:JIANG Zhongjun1, YE Xinchu2, HU Jiayun1, YANG Biao3*, LI Shengqiang4*
Author's Workplace:1. Qianfoshan National Nature Reserve Administration Bureau, Mianyang, Sichuan Province 622650, China;
2. Chengdu Leique Eco-Environmental Protection Technology Co., LTD., Chengdu 610042, China;
3. Key Laboratory of Southwest China Wildlife Resources Conservation(Ministry of Education), China West Normal University, Nanchong, Sichuan Province 637002, China;
4. Chengdu Changxin Environmental Protection Technology Co., LTD., Chengdu 610047, China
Key Words:Qianfoshan National Nature Reserve; infrared camera; mammal; bird; biodiversity
Abstract:Cataloguing of biodiversity is a basic work of management and scientific research of nature reserves. From July 2016 to June 2017, camera traps were installed to investigate the diversity of mammals and birds in Qianfoshan National Nature Reserve, Sichuan. With an intensive survey effort of 3 333 camera days at 20 locations, 2 355 photographs, 1 867 videos and 436 independent records were collected. A total of 17 wild mammal species belonging to 10 families and 4 orders, 18 wild bird species belonging to 8 families and 2 orders were identified. Among the detected species, 3 species were class Ⅰ national key protected animals and 8 species were class Ⅱ national key protected animals. One species was evaluated as endangered, 5 as vulnerable and 1 as near threatened by IUCN. In the survey, a new record of Turdus boulboul of Minshan Mountain was identified. Based on the relative abundance index (RAI), Rhinopithecus roxellanae (2.37), Elaphodus cephalophus (1.83), Sus scrofa (1.17), Sciurotamias davidianus (1.02), and Muntiacus vaginalis (0.21) were ranked as the top most abundant mammal species. The wild birds with the highest relative abundance were Galliformes, such as Chrysolophus pictus (3.21) and Tragopan temminckii (1.05), followed by Leiothrichidae of Passeriformes. In conclusion, the resource status of mammals and birds in Qianfoshan National Nature Reserve obtained using the infrared camera technology can be used as a useful supplement to the traditional survey methods, and the biodiversity data obtained by continuous monitoring will contribute to the long-term monitoring and conservation management of the reserve.
2019,38(1): 99-106 收稿日期:2018-05-30
分类号:Q958.1;S759.9
作者简介:蒋忠军,工程师,研究方向:主要从事保护区野生动植物保护与管理研究,E-mail:50806876@qq.com
*通信作者:杨彪,博士,E-mail:yangb315@163.com;李生强,硕士,主要从事野生动物生态与保护研究,E-mail:shengqiang322@qq.com
参考文献:
包欣欣. 2017. 基于红外相机与传统样带法兽类多样性研究[D]. 哈尔滨: 东北林业大学.
陈圣宾, 蒋高明, 高吉喜, 等. 2008. 生物多样性监测指标体系构建研究进展[J]. 生态学报, 28(10): 5123-5132.
符建荣, 冉江洪, 蔡国, 等. 2005. 四川千佛山自然保护区的鸟类资源[J]. 四川动物, 4(4): 596-601.
蒋志刚, 马勇, 吴毅, 等. 2015. 中国哺乳动物多样性及地理分布[M]. 北京: 科学出版社.
李晟, 王大军, 肖治术, 等. 2014. 红外相机技术在我国野生动物研究与保护中的应用与前景[J]. 生物多样性, 22(6): 685-695.
刘芳, 李迪强, 吴记贵. 2012. 利用红外相机调查北京松山国家级自然保护区的野生动物物种[J]. 生态学报, 32(3): 730-739.
刘应雄, 张惠, 刘洋. 2014. 四川千佛山自然保护区兽类资源调查[J]. 四川林业科技, 35(3): 65-69.
吕一河, 陈利顶, 傅伯杰. 2001. 生物多样性资源: 利用、保护与管理[J]. 生物多样性, 9(4): 422-429.
斯幸峰, 丁平. 2014. 古田山森林动态监测样地内鸟兽种群动态的红外相机监测[J]. 生物多样性, 22(6): 819-822.
武鹏峰, 刘雪华, 蔡琼, 等. 2012. 红外相机技术在陕西观音山自然保护区兽类监测研究中的应用[J]. 兽类学报, 32(1): 67-71.
肖治术, 李欣海, 姜广顺. 2014a. 红外相机技术在我国野生动物监测研究中的应用[J]. 生物多样性, 22(6): 683-684.
肖治术, 李欣海, 王学志, 等. 2014b. 探讨我国森林野生动物红外相机监测规范[J]. 生物多样性, 22(6): 704-711.
杨子诚, 陈颖, 李俊松, 等. 2018. 基于红外相机技术对亚洲象个体识别和种群数量的评估[J]. 兽类学报, (1): 18-27.
余梁哥, 陈敏杰, 杨士剑, 等. 2013. 利用红外相机调查屏边县大围山倭蜂猴、蜂猴及同域兽类[J]. 四川动物, 32(6): 814-818.
张履冰, 崔绍朋, 黄元骏, 等. 2014. 红外相机技术在我国野生动物监测中的应用: 问题与限制[J]. 生物多样性, 22(6): 696-703.
张鹏, 姜广顺, 肖治术. 2014. 运用红外相机和样线法调查黑龙江双河自然保护区兽类资源[J]. 生物多样性, 22(6): 773-775.
张倩雯, 龚粤宁, 宋相金, 等. 2018. 红外相机技术与其他几种森林鸟类多样性调查方法的比较[J]. 生物多样性, 26(3): 229-237.
章书声, 鲍毅新, 王艳妮, 等. 2012. 基于红外相机技术的黑麂活动节律[J]. 兽类学报, 32(4): 368-372.
赵玉泽, 曹婉露, 余进, 等. 2016. 基于红外相机技术的白冠长尾雉集群行为研究[J]. 生态学报, 36(9): 2513-2520.
郑光美. 2017. 中国鸟类分类与分布名录(第三版)[M]. 北京: 科学出版社.
Karanth KU, Nichols JD. 1998. Estimation of tiger densities in India using photographic captures and recaptures[J]. Ecology, 79(8): 2852-2862.
Kelt DA, Van Vuren DH. 2001. The ecology and macroecology of mammalian home range area[J]. The American Naturalist, 157(6): 637-645.
Mysterud A, Pérezbarberaí FJ, Gordon IJ. 2001. The effect of season, sex and feeding style on home range area versus body mass scaling in temperate ruminants[J]. Oecologia, 127(1): 30-39.
O'Brien TG, Kinnaird MF, Wibisono HT. 2003. Crouching tigers, hidden prey: sumatran tiger and prey populations in a tropical forest landscape[J]. Animal Conservation, 6(2): 131-139.
O'Connell AF, Nichols JD, Karanth KU. 2010. Camera traps in animal ecology: methods and analyses[M]. Switzerland:Springer.
Solberg KH, Bellemain E, Drageset OM, et al. 2006. An evaluation of field and non-invasive genetic methods to estimate brown bear (Ursus arctos) population size[J]. Biological Conservation, 128(2): 158-168.
CopyRight©2019 Editorial Office of Sichuan Journal of Zoology