Behaviors that predict personality components in adult free-ranging Tibetan macaques Macaca thibetana
Behaviors that predict personality components in adult free-ranging Tibetan macaques Macaca thibetana作者机构:Department of Anthropology Rutgers University New Brunswick NJ 08901 USA Department of Anthropology Central Washington University Ellensburg WA 98926 USA Department of Psychology Central Washington University Ellensburg WA 98926 USA School of Resource and Environmental Engineering Anhui University Hefei 230601 China School of Life Science Anhui Normal University Hefei 230601 China Department of Biology Central Washington University Ellensburg WA 98926 USA
出 版 物:《Current Zoology》 (动物学报(英文版))
年 卷 期:2014年第60卷第3期
页 面:362-372页
核心收录:
学科分类:02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 0905[农学-畜牧学] 09[农学] 0714[理学-统计学(可授理学、经济学学位)] 070103[理学-概率论与数理统计] 0701[理学-数学]
基 金:grants to JHL from the National Natural Science Foundation of China LKS from the National Science Foundation Research was approved by CWU's Institutional Animal Care and Use Committee
主 题:Tourism Provisioning Temperament Surveys Personality Primate
摘 要:To further the potential for applied personality studies, we present a methodology for assessing personality in nonhu man animals without a priori assumptions, using behavioral measures to discriminate personality survey results. Our study group consisted of 12 freeranging, provisioned, adult Tibetan macaques Macaca thibetana at the Valley of the Wild Monkeys, China. We asked familiar Chinese park guards and scientists to rate each of the 12 macaques using 27item personality surveys. We also recorded behavioral observations (〉 100 hrs) from AugustSeptember, 2012. The personality surveys showed reliability in 22 of the items that were then utilized in a principal component analysis that revealed five components: Insecurity, Reactivity, Boldness, Sociability, and Leadership. Prior personality research on Macaca show comparable components. In order to determine which behaviors would best predict those five personality components, we conducted discriminant analyses using behavioral measures as predictors. We found that behavioral measures of avoidance, lunging, feargrinning, selfdirected behaviors, touching, proximity and chasing could significantly predict personality component scores in certain situations. Finally, we analyzed the effects of situation (provisioning and tourists) and found situation influenced proximity and rates of avoidance and selfdirected behaviors. Wider implementation of this methodology may permit longterm analysis of personality using behavioral proxies for established personality traits, in particular on research investigating the effects of tourism and provisioning on personality .