Literature DB >> 31368370

Spatiotemporal variability in activity patterns of urban street cattle as function of environmental factors.

Bhupendra Kumar Sahu1, Arti Parganiha1,2, Atanu Kumar Pati1,2,3.   

Abstract

In the current study, we studied behavioral patterns, such as foraging, activity, standing, and laying in a population of cattle wandering on streets of Raipur city. We also determined the effects of four environmental factors (temperature, humidity, light, and noise intensities) on these behaviors. We recorded all four behavioral variables at four time points each day over a period of three consecutive days at 10 randomly selected locations using on-site human observation method, digital video, and still camera. We used Cosinor rhythmometry to analyze the time series data on all four behavioral variables. One-way ANOVA was performed to determine the impact of the factor "time of the day" on all observed behavioral variables. Pearson correlation was also employed to evaluate the relationship between the environmental and behavioral variables. Cosinor analyses revealed statistically significant 24-h rhythms in all observed behavioral variables, at the group level, with peaks of foraging, activity, standing, and laying located at 11.54 h, 14.54 h, 18.66 h, and 23.88 h, respectively. Factor "time of the day" had statistically significant effect on all observed behavioral variables. Foraging and activity were found to be positively correlated with temperature, light, and noise intensities; and negatively correlated with humidity. The laying behavior was found to be negatively associated with temperature, light, and noise intensities; and positively correlated with humidity. The findings of this study might be helpful in the management of cattle menace that has become an annoying phenomenon on the streets and highways of almost all Indian cities.

Entities:  

Keywords:  Street cattle; activity; cattle menace; foraging; laying; rhythmic pattern; standing

Year:  2019        PMID: 31368370     DOI: 10.1080/07420528.2019.1644345

Source DB:  PubMed          Journal:  Chronobiol Int        ISSN: 0742-0528            Impact factor:   2.877


  1 in total

1.  A population estimation study reveals a staggeringly high number of cattle on the streets of urban Raipur in India.

Authors:  Bhupendra Kumar Sahu; Arti Parganiha; Atanu Kumar Pati
Journal:  PLoS One       Date:  2021-01-20       Impact factor: 3.240

  1 in total

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