2020
DOI: 10.1093/jmammal/gyaa120
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Activity overlap of carnivores, their potential wild prey, and temporal segregation, with livestock in a Biosphere Reserve in the Chihuahuan Desert

Abstract: Daily activity is an important aspect of animal behavior and depends both on nutritional and reproductive demands. It also can be modified by—among other factors—interspecific competition, the need to minimize the risk of predation, and human disturbance, such as the presence of cattle. We studied the activity patterns and degree of overlap among carnivores, their potential wild prey, and livestock, in a Biosphere Reserve in the Chihuahuan Desert. There was no temporal segregation among the carnivores. Carnivo… Show more

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Cited by 6 publications
(2 citation statements)
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“…Since this coefficient is a descriptive measurement [34], we also calculated Watson's non-parametric two sample U 2 statistics to test for significant differences in species temporal activity patterns. This test is often used to determine whether two or more circular distribution datasets are homogenous [35][36][37].…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Since this coefficient is a descriptive measurement [34], we also calculated Watson's non-parametric two sample U 2 statistics to test for significant differences in species temporal activity patterns. This test is often used to determine whether two or more circular distribution datasets are homogenous [35][36][37].…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Camera traps are widely used to assess the diversity and efficiently estimate the absolute densities of mammals that have coat patterns. The time data extracted from these camera trap records are useful in assessing the activity pattern and understanding the interaction between these mammalian guilds (Santos et al 2019;Durán-Antonio et al 2020;Shankar et al 2020;Shameer et al 2021). This further helps us to understand the ecology of several elusive species and assist managers in maximizing conservation in biodiversity rich areas.…”
Section: Introductionmentioning
confidence: 99%