Temporal niche overlap can be effectively studied using null models, which are statistical tools that randomise ecological data to reveal underlying patterns. The Rosario R package enables robust analysis of cyclical phenomena in ecology through the implementation of the Rosario algorithm. The Rosario package preserves temporal autocorrelation (the tendency for events close in time to be similar) and generates biologically realistic time-use scenarios. To ensure continued usability and standardisation, we are transitioning the Rosario algorithm from Windows-based software to the R programming environment. This transition enhances accessibility and compatibility with R packages, such as activity and overlap. Unlike these packages, rosario supports concurrent overlap analysis amongst multiple biological identities (e.g. individuals, species, populations, communities) at the same time, offering a more comprehensive approach to studying cyclical data. Now, users can access rosario in R and work with a full suite of packages in one language, facilitating complementary insights into natural temporal patterns.
Velásquez-Roa et al. (Fri,) studied this question.
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