血雉与其捕食者黄喉貂的时空关系初探
作者:
作者单位:

1.西华师范大学生命科学学院;2.北京大学生命科学学院;3.四川栗子坪国家级自然保护区管理局

基金项目:

生物多样性调查评估项目(No. 2019HJ209600106)


A Preliminary Study on Spatial-Temporal Relationship between Blood Pheasant and Its Predator Yellow-throated Marten
Author:
Affiliation:

1.China West Normal University,College of Life Sciences;2.Peking University, School of Life science;3.Sichuan Liziping National Nature Reserve Administration

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [1]
  • |
  • 相似文献
  • |
  • 引证文献
  • | |
  • 文章评论
    摘要:

    猎物与其捕食者间的种间关系对于维持动物群落的结构与功能至关重要。为了解西南地区中高海拔森林生态系统中较常见的血雉(Ithaginis cruentus)及其捕食者黄喉貂(Martes flavigula)之间的相互作用关系,本研究利用2018至2020年在四川栗子坪国家级自然保护区61个红外相机位点的调查数据(累计相机工作日为13 790 d),量化分析了两者之间的时空关系。在时间维度上,采用核密度函数绘制了血雉(独立有效照片数n = 156)与黄喉貂(n = 98)的日活动节律曲线,分析结果表明,血雉和黄喉貂在日活动高峰上存在明显的回避现象。在空间维度上,单物种占域模型分析结果显示,影响血雉对位点使用的重要因子是海拔和距水源最近距离,影响黄喉貂占域的生境因子主要是坡度;单季节双物种占域模型的结果显示,(1)在物种作用和环境变量的影响下,黄喉貂存在时血雉对位点的占域率显著低于黄喉貂不存在时;(2)随着海拔的升高,黄喉貂与血雉的空间关系呈现出由分离(物种间的互作因子SIF值小于1)转为重合(物种间的互作因子SIF值大于1)的趋势。本文使用日活动模式和占域模型分析二者在时间生态位和空间生态位上的关系,初步揭示了血雉与其捕食者黄喉貂在时空上呈现不完全分化的特点,为深入理解该地区山地森林生态系统中猎物与其捕食者时空分布关系的研究提供了范例与基础信息。

    Abstract:

    [Objectives] The varying degrees of interactions between species are central to community structure and dynamics. As a significant interspecific relationship, predation and environmental factors are important elements determining the spatial distribution of predators and prey. It is important to clarify the spatial-temporal relationship between predator and prey for the maintenance of biodiversity as the two most critical dimensions of the niche axis. Galliformes are one of the food components of Yellow-throated Marten (Martes flavigula). Blood Pheasant (Ithaginis cruentus) and Yellow-throated Marten are common sympatric species in southwest montane forest ecosystem, and they overlap in spatial distribution. However, the spatial and temporal coexistence mechanism between them are nevertheless unclear. [Methods] From August 2018 to October 2020, we set up 61 infrared cameras located in Liziping National Nature Reserve, Sichuan Province (Fig. 1), and undertook a study on two relatively common species in southwest China——Blood Pheasant and its predator Yellow-throated Marten through infrared camera photographs. The lowest elevation of the site was 1 850 m and the highest was 4 199 m. The latitude and longitude, altitude, habitat types, distance to the nearest river and other information of each site were recorded. We recovered camera data every three months, then sorted out the data, identified species, and recorded the time information of photos. Based on the Kernel density estimation, we analyzed the temporal relationship of Blood Pheasant and Yellow-throated Marten, and plotted the daily activity rhythm curves. All the analyses were conducted in R, v.4.1.2 (package overlap). Select the infrared camera data from May to August in 2019 and 2020, and repeat the survey every 15 days to establish the detection history matrix of Blood Pheasant and Yellow-throated Marten at each survey site. Four environmental factors were selected as the sample covariates (Table 1). Then, we analyzed the spatial relationship between them by using the occupancy model (program PRESENCE, v.2.13.17). Wilcoxon rank sum test was used to compare the occupancy of Blood Pheasant in the presence and absence of Yellow-throated Marten. [Results] With 13 790 accumulated camera-days, we obtained 2 373 independent valid photos of wild animals, which included 98 Yellow-throated Marten and 156 Blood Pheasant. Daily activity rhythm curves were plotted for Blood Pheasant (n = 156) and Yellow-throated Marten (n = 98). The curves of Blood Pheasant showed an obvious bimodal pattern with two activity peaks in one day: 9:00 and 18:00, while the activity peak of Yellow-throated Marten was at 15:00 (Fig. 2). In addition, the Yellow-throated Marten has a small amount of activity records at night. The curves also showed an overlap in daily activities between the two species (Δ4 = 0.78) (Fig. 2). The result of simple single-season model analysis revealed that the spatial distribution of the two species was affected by environmental factors: altitude and distance to the nearest river were the most important factors to probability of use sites of Blood Pheasant, and the area occupied by Yellow-throated Marten was mainly affected by slope (Table 3). The two-species single season model was used to evaluate the spatial distribution of the two species and the results showed that: (1) Under the mediation of altitude factor, the probability of using site of Blood Pheasant while Yellow-throated Marten presence was significantly lower than that in the absence of Yellow-throated Marten (Wilcoxon rank sum test, P < 0.01), (2) With the increase of altitude, the spatial relationship between Blood Pheasant and Yellow-throated Martens showed a trend from separation (species interaction factor value is less than 1) to coincidence (species interaction factor value is greater than 1) (Fig. 3). [Conclusion] In Liziping National Nature Reserve, the spatial predation relationship of Blood Pheasant and Yellow-throated Marten was different due to the influence of altitude factors, and there were some differentiations in time utilization, which increased the chance of co-existence between predator and prey. Meanwhile, it also showed overlap in the temporal and spatial niches. Our results confirm that Galliformes account for only a small part of the total intake of Yellow-throated Marten. This paper reveals the characteristics of incomplete differentiation in the temporal and spatial niches, providing an example and fundamental information for further understanding the spatial and temporal relationship between predator-prey in montane forest ecosystem.

    参考文献
    Basnet H, Rai A. 2020. An update on the distribution of Yellow-throated Martens Martes flavigula in Nepal. Nepalese Journal of Zoology, 4(2): 147–151. Case T J, Bolger D T. 1991. The role of introduced species in shaping the distribution and abundance of island reptiles. Evolutionary Ecology, 5(3): 272–290. Connell J H. 1983. On the prevalence and relative importance of interspecific competition: evidence from field experiments. The American Naturalist, 122(5): 661–696. Creel S, Dr?ge E, M’soka J, et al. 2017. The relationship between direct predation and antipredator responses: a test with multiple predators and multiple prey. Ecology, 98(8): 2081–2092. Fan F, Bu H, McShea W J, et al. 2020. Seasonal habitat use and activity patterns of Blood Pheasant Ithaginis cruentusbe in the presence of free-ranging livestock. Global Ecology & Conservation, 23(11): e01155. Grassman L I, Tewes M E, Silvy N J. 2005. Ranging, habitat use and activity patterns of Binturong Arctictis binturong and Yellow-throated Martens Martes flavigula in north-central Thailand. Wildlife Biology, 11(1): 49–57. Grinnell J. 1924. Geography and evolution. Ecology, 5(3): 225–229. Harrington L A, Harrington A L, Yamaguchi N, et al. 2009. The impact of native competitors on an alien invasive: temporal niche shifts to avoid interspecific aggression? Ecology, 90(5): 1207–1216. Hines J E. 2006. Software to estimate patch occupancy and related parameters. Version 11. USGS-PWRC. [DB/OL]. [2021-12-25]. http://www.mbr-pwrc.usgs.gov/software/presence.html. Jornburom P, Duangchantrasiri S, Jinamoy S, et al. 2020. Habitat use by tiger prey in Thailand's western forest complex: what will it take to fill a half-full tiger landscape? Journal for Nature Conservation, 58(1): 125896. Karanth K U, Nichols J D, Kumar N S, et al. 2004. Tigers and their prey: predicting carnivore densities from prey abundance. Proceedings of the National Academy of Sciences of the United States of America, 101(14): 4854–4858. Kruuk H. 1966. Clan-system and feeding habits of Spotted Hyaenas (Crocuta crocuta Erxleben). Nature, 209(5029): 1257–1258. Li S, McShea W J, Wang D, et al. 2010. The use of infrared-triggered cameras for surveying phasianids in Sichuan Province, China. Ibis, 152(2): 299–309. MacKenzie D I, Lombardi J V, Tewes M E. 2021. A note on investigating co-occurrence patterns and dynamics for many species, with imperfect detection and a log-linear modeling parameterization. Ecology and Evolution, 11(13): 8507–8515. MacKenzie D I, Nichols J D, Lachman G B, et al. 2002. Estimating site occupancy rates when detection probabilities are less than one. Ecology, 83(8): 2248–2255. Marcos M, Sánchez-Zapata J A, Gil-Sánchez J M, et al. 2012. Predator–prey relationships in a Mediterranean vertebrate system: Bonelli's eagles, Rabbits and Partridges, Oecologia, 168(3): 679–689. Matsuura T, Suzuki W. 2013. Analysis of topography and vegetation distribution using a digital elevation model: case study of a snowy mountain basin in northeastern Japan. Landscape and Ecological Engineering, 9(1): 143–155. Messier F. 1985. Social organization, spatial distribution, and population density of wolves in relation to moose density. Canadian Journal of Zoology, 63(5): 1068–1077. Mittermeier R A, Gil P R, Hoffman M, et al. 2005. Hotspots Revisited: Earth’S Biologically Richest And Most Endangered Terrestrial Ecoregions. 2nd ed. Arlington, Virginia: Conservation International. Rabelo R M, Aragón S, Bicca-Marques J C. 2019. Prey abundance drives habitat occupancy by jaguars in Amazonian floodplain river islands. Acta Oecologica, 97(1): 28–33. Richmond O M W, Hines J E, Beissinger S R. 2010. Two-species occupancy models: A new parameterization applied to co-occurrence of secretive rails. Ecological Applications, 20(7): 2036–2046. Ridout M S, Linkie M. 2009. Estimating overlap of daily activity patterns from camera trap data. Journal of Agricultural, Biological, and Environmental Statistics, 14(3): 322–337. Rovero F, Zimmermann F. 2016. Camera Trapping for Wildlife Research. UK: Pelagic Publishing, 238–246. Smith J A, Donadio E, Pauli J N, et al. 2019. Habitat complexity mediates the predator–prey space race. Ecology, 100(7): e02724. Steinmetz R, Seuaturien N, Chutipong W. 2013. Tigers, Leopards, and Dholes in a half-empty forest: assessing species interactions in a guild of threatened carnivores. Biological Conservation, 163(8): 68–78. Suselbeek L, Emsens W J, Hirsch B T, et al. 2014. Food acquisition and predator avoidance in a neotropical rodent. Animal Behaviour, 88(1): 41–48. Tablado Z, Fauchald P, Mabille G, et al. 2014. Environmental variation as a driver of predator-prey interactions. Ecosphere, 5(12): 164. Wang B, Xu Y, Price M, et al. 2021. Niche partitioning among three montane ground-dwelling pheasant species along multiple ecological dimensions. Ibis, 163(1): 171–182. Zhou Y B, Newman C, Buesching C D, et al. 2011. Diet of an opportunistically frugivorous carnivore, Martes flavigula, in subtropical forest. Journal of Mammalogy, 92(3): 611–619. 崔鹏, 康明江, 邓文洪. 2008. 繁殖季节同域分布的红腹角雉和血雉的觅食生境选择. 生物多样性, 16(2): 143–149. 董红娟, 吴新卫, 王洪娇, 等. 2017. 空间结构对捕食关系影响研究进展. 应用生态学报, 28(2): 712–720. 段利娟, 张玉波, 康东伟, 等. 2014. 血雉繁殖初期和育雏期的日活动模式及集群行为研究. 生物学杂志, 31(6): 42–45. 胡强, 林红强, 戴强, 等. 2020. 卧龙保护区三种中型食肉动物的生态位差异. 动物学杂志, 55(6): 685–691. 贾陈喜, 郑光美, 周小平, 等. 1999. 卧龙自然保护区血雉的社群组织. 动物学报, 45(2): 135–142. 李艳红, 吴攀文, 胡杰. 2007. 四川栗子坪自然保护区的兽类区系与资源. 四川动物, 26(4): 841–845. 楼瑛强, 洪阳, 田俊, 等. 2014. 甘肃莲花山血雉春夏季栖息地选择. 四川动物, 33(2): 229–233. 史密斯, 解焱. 2009. 中国兽类野外手册. 长沙: 湖南教育出版社. 孙儒泳. 2001. 动物生态学原理. 3版. 北京: 北京师范大学出版社, 71. 王丞, 冉伟, 杨朝辉, 等. 2020. 梵净山保护区主要雉类的繁殖期栖息地选择与空间分布. 林业科学, 56(11): 134–142. 王铎, 郎建民, 潘海峰, 等. 2019. 吉林珲春保护区哺乳动物种间冷暖季空间共存关系的研究. 野生动物学报, 40(3): 529– 536. 肖文宏, 束祖飞, 陈立军, 等. 2019. 占域模型的原理及在野生动物红外相机研究中的应用案例. 生物多样性, 27(3): 249–256. 约翰?马敬能, 卡伦?菲利普斯, 何芬奇. 2000. 中国鸟类野外手册. 长沙: 湖南教育出版社. 张勘, 徐雨, 李晓清, 等. 2018. 四川栗子坪国家级自然保护区鸟类资源与多样性分析. 四川动物, 37(2): 224–233. 赵联军, 刘鸣章, 罗春平, 等. 2020. 四川王朗国家级自然保护区血雉的日活动节律. 四川动物, 39(2): 121–128. 郑光美. 2015. 中国雉类. 北京: 高等教育出版社, 232–235. 朱博伟, 王彬, 冉江洪, 等. 2019. 黄喉貂日活动节律及食性的季节变化. 兽类学报, 39(1): 52–61. 邹博研, 罗概, 朱博伟, 等. 2021. 川西高原三种雉类与其捕食者赤狐的空间关系. 生物多样性, 29(7): 918–926.
    相似文献
    引证文献
引用本文

王芃,李晟,陈红,黄豪,李艳红,胡杰.2022.血雉与其捕食者黄喉貂的时空关系初探.动物学杂志,57(6):855-865.

复制
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2022-03-23
  • 最后修改日期:2022-09-06
  • 录用日期:2022-09-05
  • 在线发布日期: 2022-12-15
  • 出版日期: 2022-12-15