Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Taï Chimpanzee Project, CSRS, Abidjan, Côte d'Ivoire.
Am J Primatol. 2018 Sep;80(9):e22904. doi: 10.1002/ajp.22904. Epub 2018 Aug 8.
Demographic factors can strongly influence patterns of behavioral variation in animal societies. Traditionally, these factors are measured using longitudinal observation of habituated social groups, particularly in social animals like primates. Alternatively, noninvasive biomonitoring methods such as camera trapping can allow researchers to assess species occupancy, estimate population abundance, and study rare behaviors. However, measures of fine-scale demographic variation, such as those related to age and sex structure or subgrouping patterns, pose a greater challenge. Here, we compare demographic data collected from a community of habituated chimpanzees (Pan troglodytes verus) in the Taï Forest using two methods: camera trap videos and observational data from long-term records. By matching data on party size, seasonal variation in party size, measures of demographic composition, and changes over the study period from both sources, we compared the accuracy of camera trap records and long-term data to assess whether camera trap data could be used to assess such variables in populations of unhabituated chimpanzees. When compared to observational data, camera trap data tended to underestimate measures of party size, but revealed similar patterns of seasonal variation as well as similar community demographic composition (age/sex proportions) and dynamics (particularly emigration and deaths) during the study period. Our findings highlight the potential and limitations of camera trap surveys for estimating fine-scale demographic composition and variation in primates. Continuing development of field and statistical methods will further improve the usability of camera traps for demographic studies.
人口统计学因素可以强烈影响动物社会行为变化的模式。传统上,这些因素是通过对习惯化社会群体的纵向观察来测量的,特别是在像灵长类动物这样的社会性动物中。或者,非侵入性生物监测方法,如相机陷阱,可以让研究人员评估物种占有率、估计种群数量,并研究稀有行为。然而,精细的人口统计学变化的测量,如与年龄和性别结构或分组模式相关的测量,构成了更大的挑战。在这里,我们比较了使用两种方法在泰森林中习惯化黑猩猩(Pan troglodytes verus)社区中收集的人口统计学数据:相机陷阱视频和长期记录的观测数据。通过匹配两个来源的数据,如群体大小、群体大小的季节性变化、人口统计学组成的测量以及研究期间的变化,我们比较了相机陷阱记录和长期数据的准确性,以评估相机陷阱数据是否可用于评估未习惯化黑猩猩种群中的此类变量。与观测数据相比,相机陷阱数据往往低估了群体大小的测量值,但揭示了类似的季节性变化模式以及相似的社区人口统计学组成(年龄/性别比例)和动态(特别是移民和死亡)在研究期间。我们的研究结果突出了相机陷阱调查在估计灵长类动物精细的人口统计学组成和变化方面的潜力和局限性。不断发展的现场和统计方法将进一步提高相机陷阱在人口统计学研究中的可用性。