Having a home base is important for many animals. These
places offer both shelter and predictability in the otherwise chaotic
day-to-day happenings of an animal’s life. For many primate species, home is a
stand of several trees centrally located within their home range. Although most
primate species live exclusively in trees, baboons spend nearly their entire
day foraging on the ground and only return to the trees in the evening to rest.
As part of the Mpala Field Computational Ecology course, we are trying to understand
how individual baboons make decisions about where to go and where to rest when
they ascend their sleeping trees in the evening. This project includes computer
scientists and biologists from several institutions:
Team:
Ph.D. Students
Ivan Brugere (Computer Scientist, University of Illinois-
Chicago)
Vena Li (Computer Scientist, University of Illinois-
Chicago)
Ari Strandburg-Peshkin (Biologist, Princeton University)
Post-Docs
Damien Farine (Biologist, UC-Davis, Oxford, and Smithsonian
Institute)
David Pappano (Biologist, Princeton University)
We are focusing on a troop of olive baboons that rest near
River Camp here at Mpala. Olive baboons (Papio
anubis) are among the most common of these semi-terrestrial Old World
monkeys living in east Africa. Their face and muzzle resemble the jackal-headed
deity, Anubis, hence their scientific namesake. Olive baboons are female
philopatric, meaning females remain in the same troop their entire life while
males disperse at adulthood to join neighboring groups. A troop of olive
baboons can range in size from 20-100, but tend to average around 50
individuals. Baboons are among the most successful groups of primates and can
be found in a range of habitats throughout eastern and southern Africa from dry
brush land to dense rainforest.
Every evening we head to River Camp within the Mpala
Research Station and set up cameras to monitor a the baboon troop as their
ascend their sleeping trees. To determine how individual baboons make decisions
about where to go within their sleeping trees, we are modeling both the
physical tree and the ascension paths the baboons take as networks. We are then
using flow prediction over the network to understand how the state of the tree
determines the baboon’s decision. Through this method we hope to uncover
patterns that would not be directly observable to scientists on foot using more
traditional focal-animal based sampling methods.
photo credit D. Pappano, network by I. Brugere
Wow... natural beauty... :)
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