Abstract
AbstractMany approaches to Macaca mulatta population change modelling have been proposed by many researchers globally, and the most prominent of these approaches is the use of linear relationships among population growth factors like birth, immigration, death, and emigration rates. This study was conducted to determine, model and evaluate changes and trends in monkey population components using three years (2007, 2010 and 2013) data from the Ayubia National Park in Pakistan. The summary statistics showed that Koza Gali returned the highest M. mulatta population (40.78), while the smallest monkey population was recorded in Kundla (4.48), and no regular pattern of monkey population components and variability was obtained. Different patterns of classification of the mean were obtained for the monthly primate population component, but a prominent feature was uniformity of months with the highest population (June) and the smallest population (October). An autocorrelation pattern followed by these primate popul...
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.