Related Experiment Video
Updated: Dec 30, 2025

Author Spotlight: Advancing Primatology Through Germ Cell Research and Genetic Modification Techniques
Published on: July 5, 2024
Red howler monkey birth data I: Seasonal variation
Carolyn M Crockett1,2, Rasanayagam Rudran1
1Department of Zoological Research, National Zoological Park, Smithsonian Institution, Washington, D.C.
Abstract:
A large set of birth data from a population of red howler monkeys (Alouatta seniculus) in two habitats found a consistent birth "dip," with births occurring less frequently in early wet season (May-July) than during the remaining months. In one of two habitats, births were negatively correlated with rainfall, and viable conceptions were positively correlated with rainfall. The observed degree of within-troop birth synchrony appeared to reflect populational synchrony with environmental factors. Correlations between births and the phenology of plant foods were not striking, but there was weak support for the hypothesis that births are timed to maximize the availability of weaning foods. Reduced births in early wet season also minimize the number of Infants who would experience the transition to independent locomotion and feeding during the peak of the dry season when probable low moisture content of foods and high daytime temperatures might be disadvantageous. However, there was no relationship between season of birth and infant mortality.
Related Concept Videos
Biological Clocks and Seasonal Responses
Migration
Life Histories
Testing a Claim about Mean: Unknown Population SD
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
Wald-Wolfowitz Runs Test II
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and 0s. In...
Testing a Claim about Mean: Known Population SD
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...

