生物多样性 ›› 2019, Vol. 27 ›› Issue (3): 266-272.doi: 10.17520/biods.2018178

• 野生动物红外相机数据分析专题 • 上一篇    下一篇

应用红外相机数据研究动物活动节律——以广东车八岭保护区鸡形目鸟类为例

陈立军1, 束祖飞3, 肖治术1, 2, *()   

  1. 1 中国科学院动物研究所农业虫害鼠害综合治理研究国家重点实验室, 北京 100101
    2 中国科学院大学, 北京 100049
    3 广东车八岭国家级自然保护区, 广东韶关 512500
  • 收稿日期:2018-06-26 接受日期:2018-10-26 出版日期:2019-03-20
  • 通讯作者: 肖治术 E-mail:xiaozs@ioz.ac.cn
  • 基金项目:
    国家重点研发项目(2017YFC0503802);国家重点研发项目(2016YFC0500105);中国科学院生物多样性监测与研究网络兽类多样性监测网运行经费;中国博士后科学基金(2017M620905);2017年中央林业改革发展资金;2016年中央财政林业补助资金

Application of camera-trapping data to study daily activity patterns of Galliformes in Guangdong Chebaling National Nature Reserve

Chen Lijun1, Shu Zufei3, Xiao Zhishu1, 2, *()   

  1. 1 State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101
    2 University of Chinese Academy of Sciences, Beijing 100049
    3 Guangdong Chebaling National Nature Reserve, Shaoguan, Guangdong 512500
  • Received:2018-06-26 Accepted:2018-10-26 Online:2019-03-20
  • Contact: Xiao Zhishu E-mail:xiaozs@ioz.ac.cn

动物活动节律和时间生态位分化是动物行为在时间维度的分布, 是对时间资源利用的重要体现。动物活动节律受到环境因素和种间作用的影响, 因此, 了解动物活动节律以及时间生态位有助于揭示群落中同域分布物种时间资源利用的差异及共存机制。近10多年来, 红外相机技术在国内外野生动物监测研究中得到广泛应用, 积累了大量有时间记录的动物行为数据, 极大地促进了动物活动节律和时间生态位分化的深入研究。本文对动物活动节律研究以及应用红外相机数据研究动物活动节律的方法进行梳理, 采用核密度估计方法, 利用广东车八岭国家级自然保护区的红外相机监测数据, 分析了鸡形目鸟类的活动节律, 以阐述单物种和多物种的活动节律以及种间作用对动物日活动节律的影响。研究结果表明车八岭保护区白鹇(Lophura nycthemera)、白眉山鹧鸪(Arborophila gingica)和灰胸竹鸡(Bambusicola thoracica)等3个鸡形目物种之间存在不同程度的竞争, 物种间的日活动节律呈现中等程度的重叠。最后, 针对动物活动节律分析方法应用的建议及影响因素进行讨论, 希望为国内动物活动节律研究提供参考。

关键词: 日活动节律, 红外相机, 鸡形目, 核密度估计, 物种共存, 广东车八岭国家级自然保护区

Animal activity patterns and temporal niches can indicate the distribution of animal behavior and the utilization resources over time. Environmental variables and interspecific interactions have important effects on animal activity and temporal niche partitioning. These two factors in turn can help understand mechanisms of niche partitioning among sympatric species as well as species coexistence and community composition. Due to the extensive use and deployment of infrared cameras for nearly a decade, a large amount of time-recorded behavioral data has been accumulated. These data are conducive to studying activity rhythms and temporal niches in depth. In the present paper, we reviewed research on animal activity using infrared cameras in combination with in situ monitoring data from the Guangdong Chebaling National Nature Reserve to better understand three Galliformes species. A kernel density was used to estimate the activity and interspecific effects of a single species as well as for multispecies activity. Our study reveals a moderate overlap among Galliformes species, Lophura nycthemera, Arborophila gingica and Bambusicola thoracica, which may be caused by interspecific competition. We discuss the limitations of daily activity analyses to give a reference for similar research.

Key words: daily activity pattern, infrared camera, Galliformes, kernel density estimation, species coexistence, Guangdong Chebaling National Nature Reserve

图1

车八岭国家级自然保护区白鹇和白眉山鹧鸪(A)、白鹇和灰胸竹鸡(B)、白眉山鹧鸪和灰胸竹鸡(C)的活动节律曲线比较, 灰色为重叠区域。"

1 Aschoff J ( 1966) Circadian activity pattern with two peaks. Ecology, 47, 657-662.
doi: 10.2307/1933949
2 Bridges AS, Noss AJ ( 2011) Behavior and activity patterns. In: Camera Traps in Animal Ecology (eds O’Connell AF, Nichols JD, Karanth KU), pp. 57-69. Springer, Tokyo.
3 Bu H, Wang F, McShea WJ, Lu Z, Wang D, Li S ( 2016) Spatial co-occurrence and activity patterns of mesocarnivores in the temperate forests of Southwest China. PLoS ONE, 11, e0164271.
doi: 10.1371/journal.pone.0164271 pmid: 5056745
4 Chen C, Hu L, Chen ZJ, Jiang XL, Wu LJ, Wang XL, Bao WD ( 2017) Variations in seasonal activity pattern of red deer in southern part of Daxing’an Ling Mountains, northeastern China. Journal of Beijing Forestry University, 39(4), 55-62. (in Chinese with English abstract)
doi: 10.13332/j.1000-1522.20160390
[ 陈琛, 胡磊, 陈照娟, 姜秀丽, 乌力吉, 王晓玲, 鲍伟东 ( 2017) 大兴安岭南段马鹿日活动节律的季节变化研究. 北京林业大学学报, 39(4), 55-62.]
doi: 10.13332/j.1000-1522.20160390
5 Chen MT, Tewes ME, Pei KJ, Grassman LI ( 2009) Activity patterns and habitat use of sympatric small carnivores in southern Taiwan. Mammalia, 73, 20-26.
doi: 10.1515/MAMM.2009.006
6 Di Bitetti MS, De Angelo CD, Di Blanco YE, Paviolo A ( 2010) Niche partitioning and species coexistence in a neotropical felid assemblage. Acta Oecologica, 36, 403-412.
doi: 10.1016/j.actao.2010.04.001
7 Di Bitetti MS, Di Blanco YE, Pereira JA, Paviolo A, Pírez IJ ( 2009) Time partitioning favors the coexistence of sympatric crab-eating foxes (Cerdocyon thous) and pampas foxes (Lycalopex gymnocercus). Journal of Mammalogy, 90, 479-490.
doi: 10.1644/08-MAMM-A-113.1
8 Dominoni DM, Åkesson S, Klaassen R, Spoelstra K, Bulla M ( 2017) Methods in field chronobiology. Philosophical Transactions of the Royal Society B: Biological Sciences, 372, 20160247.
9 Ferreguetti áC, Tomás WM, Bergallo HG ( 2015) Density, occupancy, and activity pattern of two sympatric deer (Mazama) in the Atlantic forest, Brazil. Journal of Mammalogy, 96, 1245-1254.
doi: 10.1093/jmammal/gyv132
10 Frey S, Fisher JT, Burton AC, Volpe JP, Rowcliffe M ( 2017) Investigating animal activity patterns and temporal niche partitioning using camera-trap data: Challenges and opportunities. Remote Sensing in Ecology and Conservation, 3, 123-132.
doi: 10.1002/rse2.60
11 Gerber BD, Karpanty SM, Randrianantenaina J ( 2012) Activity patterns of carnivores in the rain forests of Madagascar: Implications for species coexistence. Journal of Mammalogy, 93, 667-676.
doi: 10.2307/23259962
12 Jia XD, Liu XH, Yang XZ, Wu PF, Songer M, Cai Q, He XB, Zhu Y ( 2014) Seasonal activity patterns of ungulates in Qinling Mountains based on camera-trap data. Biodiversity Science, 22, 737-745. (in Chinese with English abstract)
doi: 10.3724/SP.J.1003.2014.140073
[ 贾晓东, 刘雪华, 杨兴中, 武鹏峰, Songer M, 蔡琼, 何祥博, 朱云 ( 2014) 利用红外相机技术分析秦岭有蹄类动物活动节律的季节性差异. 生物多样性, 22, 737-745.]
doi: 10.3724/SP.J.1003.2014.140073
13 Leuchtenberger C, Zucco CA, Ribas C, Magnusson W, Mourão G ( 2013) Activity patterns of giant otters recorded by telemetry and camera traps. Ethology Ecology & Evolution, 26, 19-28.
doi: 10.1080/03949370.2013.821673
14 Li MF, Li S, Wang DJ, McShea WJ, Guan TP, Chen LM ( 2011) The daily activity patterns of takin Budorcas taxicolor in winter and spring at Tangjiahe Nature Reserve, Sichuan Province. Sichuan Journal of Zoology, 30, 850-855. (in Chinese with English abstract)
doi: 10.3969/j.issn.1000-7083.2011.06.031
[ 李明富, 李晟, 王大军, McShea WJ, 官天培, 谌利民 ( 2011) 四川唐家河自然保护区扭角羚冬春季日活动模式研究. 四川动物, 30, 850-855.]
doi: 10.3969/j.issn.1000-7083.2011.06.031
15 Li S, McShea WJ, Wang DJ, Shao LK, Shi XG ( 2010) The use of infrared-triggered cameras for surveying phasianids in Sichuan Province, China. Ibis, 152, 299-309.
doi: 10.1111/j.1474-919X.2009.00989.x
16 Li S, Wang DJ, Xiao ZS, Li XH, Wang TM, Feng LM, Wang Y ( 2014) Camera-trapping in wildlife research and conservation in China: Review and outlook. Biodiversity Science, 22, 685-695. (in Chinese with English abstract)
doi: 10.3724/SP.J.1003.2014.14203
[ 李晟, 王大军, 肖治术, 李欣海, 王天明, 冯利民, 王云 ( 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. 生物多样性, 22, 685-695.]
doi: 10.3724/SP.J.1003.2014.14203
17 Liu DZ, Huang XW, Chu HJ, Liu YC, Zhang F, Chen G, Qi YJ ( 2015) Activity rhythms of Sino-Mongolia beaver (Caster fiber birulai) measured with infrared camera traps in Xinjiang, China. Arid Zone Research, 32, 205-211. (in Chinese with English abstract)
[ 刘冬志, 黄效文, 初红军, 刘元超, 张帆, 陈刚, 戚英杰 ( 2015) 基于红外相机陷阱技术的蒙新河狸(Caster fiber birulai)活动节律. 干旱区研究, 32, 205-211.]
18 Liu XB, Wei W, Zheng XG, Zhao KH, He SW, Zhou WL ( 2017) Activity rhythms of golden pheasant (Chrysolophus pictus) and satyr tragopan (Tragopan temmminckii) revealed by infrared-triggered cameras. Chinese Journal of Zoology, 52, 194-202. (in Chinese with English abstract)
doi: 10.13859/j.cjz.201702002
[ 刘小斌, 韦伟, 郑筱光, 赵凯辉, 何少文, 周文良 ( 2017) 红腹锦鸡和红腹角雉活动节律——基于红外相机监测数据. 动物学杂志, 52, 194-202.]
doi: 10.13859/j.cjz.201702002
19 Liu XH, Wu PF, Songer M, Cai Q, He XB, Zhu Y, Shao XM ( 2013) Monitoring wildlife abundance and diversity with infrared camera traps in Guanyinshan Nature Reserve of Shaanxi Province, China. Ecological Indicators, 33, 121-128.
doi: 10.1016/j.ecolind.2012.09.022
20 Lund U, Agostinelli C ( 2007) Circstats: Circular statistics. . (accessed on 2019-01-07)
21 Meek PD, Zewe F, Falzon G ( 2012) Temporal activity patterns of the swamp rat (Rattus lutreolus) and other rodents in north-eastern New South Wales, Australia. Australian Mammalogy, 34, 223-233.
doi: 10.1071/AM11032
22 Meredith M, Ridout M ( 2014) Overlap: Estimates of coefficient of overlapping for animal activity patterns. . (accessed on 2019-01-07)
23 Monterroso P, Alves PC, Ferreras P ( 2014) Plasticity in circadian activity patterns of mesocarnivores in Southwestern Europe: Implications for species coexistence. Behavioral Ecology and Sociobiology, 68, 1403-1417.
doi: 10.1007/s00265-014-1748-1
24 Norris D, Michalski F, Peres CA ( 2010) Habitat patch size modulates terrestrial mammal activity patterns in Amazonian forest fragments. Journal of Mammalogy, 91, 551-560.
doi: 10.1644/09-MAMM-A-199.1
25 Nouvellet P, Rasmussen GSA, Macdonald DW, Courchamp F, Braae A ( 2012) Noisy clocks and silent sunrises: Measurement methods of daily activity pattern. Journal of Zoology, 286, 179-184.
doi: 10.1111/j.1469-7998.2011.00864.x
26 O’Brien TG, Kinnaird MF, Wibisono HT ( 2003) Crouching tigers, hidden prey: Sumatran tiger and prey populations in a tropical forest landscape. Animal Conservation, 6, 131-139.
doi: 10.1017/S1367943003003172
27 O’Connell AF, Nichols JD, Karanth KU ( 2011) Camera Traps in Animal Ecology: Methods and Analyses. Springer, New York.
28 Oliveira-Santos LGR, Zucco CA, Agostinelli C ( 2013) Using conditional circular kernel density functions to test hypotheses on animal circadian activity. Animal Behaviour, 85, 269-280.
doi: 10.1016/j.anbehav.2012.09.033
29 Pei KJ ( 1995) Activity rhythm of the spinous country rat (Niviventer coxingi) in Taiwan. Zoological Studies, 34, 55-58.
30 Pei KJ ( 1998) An evaluation of using auto-trigger cameras to record activity patterns of wild animals. Taiwan Journal of Forestry Science, 13, 317-324. (in Chinese with English abstract)
[ 裴家骐 ( 1998) 利用自动照相设备记录野生动物活动模式之评估. 台湾林业科学, 13, 317-324.]
31 Ramesh T, Kalle R, Sankar K, Qureshi Q, Bennett N ( 2012) Spatio-temporal partitioning among large carnivores in relation to major prey species in Western Ghats. Journal of Zoology, 287, 269-275.
doi: 10.1111/j.1469-7998.2012.00908.x
32 Ridout MS, Linkie M ( 2009) Estimating overlap of daily activity patterns from camera trap data. Journal of Agricultural, Biological and Environmental Statistics, 14, 322-337.
doi: 10.1198/jabes.2009.08038
33 Rowcliffe JM, Kays R, Kranstauber B, Carbone C, Jansen PA, Fisher D ( 2014) Quantifying levels of animal activity using camera trap data. Methods in Ecology and Evolution, 5, 1170-1179.
doi: 10.1111/2041-210X.12278
34 Rowcliffe M ( 2016) Activity: Animal Activity Statistics. . (accessed on 2019-01-07)
35 Schmid F, Schmidt R ( 2006) Multivariate extensions of Spearman’s rho and related statistics. Statistics and Probability Letters, 77, 407-416.
doi: 10.1016/j.spl.2006.08.007
36 Steenweg R, Hebblewhite M, Kays R, Ahumada RJ, Fisher JT, Burton C, Townsend SE, Carbone C, Rowcliffe JM, Whittington J, Brodie J, Royle JA, Switalski A, Clevenger AP, Heim N, Rich LN ( 2017) Scaling-up camera traps: Monitoring the planet’s biodiversity with networks of remote sensors. Frontiers in Ecology and the Environment, 15, 26-34.
doi: 10.1002/fee.1448
37 Sunarto S, Kelly MJ, Parakkasi K, Hutajulu MB ( 2015) Cat coexistence in central Sumatra: Ecological characteristics, spatial and temporal overlap, and implications for management. Journal of Zoology, 296, 104-115.
doi: 10.1111/jzo.12218
38 Suselbeek L, Emsens WJ, Hirsch BT, Kays R, Rowcliffe JM, Zamora-Gutierrez V, Jansen PA ( 2014) Food acquisition and predator avoidance in a Neotropical rodent. Animal Behaviour, 88, 41-48.
doi: 10.1016/j.anbehav.2013.11.012
39 Wang CP, Liu XH, Wu PF, Cai Q, Shao XM, Zhu Y, Songer M ( 2015) Research on behavior and abundance of wild boar (Sus scrofa) via infrared camera in Guanyinshan Nature Reserve in Qinling Mountains, China. Acta Theriologica Sinica, 35, 147-156. (in Chinese with English abstract)
[ 王长平, 刘雪华, 武鹏峰, 蔡琼, 邵小明, 朱云, Songer M ( 2015) 应用红外相机技术研究秦岭观音山自然保护区内野猪的行为和丰富度. 兽类学报, 35, 147-156.]
40 Wen LJ, Guo YM, Huang J, Song Y ( 2016) The activity rhythm of the Asiatic brush-tailed porcupine Atherurus macrourus and its correlation with the phases of the moon. Chinese Journal of Zoology, 51, 347-352. (in Chinese with English abstract)
doi: 10.13859/j.cjz.201603002
[ 温立嘉, 郭玉民, 黄建, 宋阳 ( 2016) 帚尾豪猪活动节律及其与月光周期的相关性. 动物学杂志, 51, 347-352.]
doi: 10.13859/j.cjz.201603002
41 Wu B, Chu WW, Wu HP, Ren SB, He L, Ge Y, Bu L, Chu HJ ( 2017) Activity rhythms of reintroducing Przewalski’s horse (Equus przewalskii) at watering holes by camera traps. Chinese Journal of Zoology, 52, 545-554. (in Chinese with English abstract)
doi: 10.13859/j.cjz.201704001
[ 吴兵, 初雯雯, 吴洪潘, 任松柏, 贺雷, 葛炎, 布兰, 初红军 ( 2017) 卡拉麦里山有蹄类自然保护区水源地野放普氏野马的活动节律: 基于红外相机监测数据. 动物学杂志, 52, 545-554.]
doi: 10.13859/j.cjz.201704001
42 Xiao ZS, Li XH, Jiang GS ( 2014) Applications of camera trapping to wildlife surveys in China. Biodiversity Science, 22, 683-684. (in Chinese)
doi: 10.3724/SP.J.1003.2014.14244
[ 肖治术, 李欣海, 姜广顺 ( 2014) 红外相机技术在我国野生动物监测研究中的应用. 生物多样性, 22, 683-684.]
doi: 10.3724/SP.J.1003.2014.14244
43 Xiao ZS, Li XY, Xiang ZF, Li M, Jiang XL, Zhang LB ( 2017) Overview of the mammal diversity observation network of Sino BON. Biodiversity Science, 25, 237-245. (in Chinese with English abstract)
doi: 10.17520/biods.2016159
[ 肖治术, 李学友, 向左甫, 李明, 蒋学龙, 张礼标 ( 2017) 中国兽类多样性监测网的建设规划与进展. 生物多样性, 25, 237-245.]
doi: 10.17520/biods.2016159
44 Xu YQ ( 1993) A comprehensive report on investigation in Chebaling National Nature Reserve. In: Collected Papers for Investigation in Chebaling National Nature Reserve (ed. Editorial Committee of Collected Papers for Investigation in Chebaling National Nature Reserve), pp. 1-7. Guangdong Science and Technology Press, Guangzhou. (in Chinese with English abstract)
[ 徐燕千 ( 1993) 车八岭国家级自然保护区调查研究综合报告. 见: 车八岭国家级自然保护区调查研究论文集 (车八岭国家级自然保护区调查研究论文集编委会编), 1-7页. 广东科技出版社, 广州.]
45 Yu JP, Qian HY, Chen XN, Li S, Shen XL ( 2017) Daily activity pattern of silver pheasant (Lophura nycthemera) using camera-traps. Chinese Journal of Zoology, 52, 937-944. (in Chinese with English abstract)
doi: 10.13859/j.cjz.201706002
[ 余建平, 钱海源, 陈小南, 李晟, 申小莉 ( 2017) 基于红外相机技术的白鹇日活动节律研究. 动物学杂志, 52, 937-944.]
doi: 10.13859/j.cjz.201706002
46 Zhang YS, Jiang J, Jiang WJ, Wang D, Fan YQ, Tang XM, Bao WD ( 2017) Activity patterns of mammals in Beijing Songshan National Nature Reserve. Sichuan Journal of Zoology, 36, 460-467. (in Chinese with English abstract)
doi: 10.11984/j.issn.1000-7083.20170108
[ 张源笙, 蒋健, 蒋万杰, 王丹, 范雅倩, 汤小明, 鲍伟东 ( 2017) 北京松山国家级自然保护区兽类活动节律初步研究. 四川动物, 36, 460-467.]
doi: 10.11984/j.issn.1000-7083.20170108
47 Zhao YZ, Wang ZC, Xu JL, Luo X, An LD ( 2013) Activity rhythm and behavioral time budgets of wild Reeves’s pheasant (Syrmaticus reevesii) using infrared camera. Acta Ecologica Sinica, 33, 6021-6027. (in Chinese with English abstract)
doi: 10.5846/stxb201306041335
[ 赵玉泽, 王志臣, 徐基良, 罗旭, 安丽丹 ( 2013) 利用红外照相技术分析野生白冠长尾雉活动节律及时间分配. 生态学报, 33, 6021-6027.]
doi: 10.5846/stxb201306041335
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