Chimpanzees do not need smartphones to take efficient routes

All LIT Search News Topics Latest news Media statements Media contacts Topics Latest news Media statements Media contacts LIT Impact Latest news 2020 October Chimpanzees do not need smartphones to take efficient routes Chimpanzees do not need smartphones to take efficient routes 02/10/2020 | 4 MINS (INCLUDING 2 MIN VIDEO) Video Player 00:00 01:25 A team of scientists from Lombok Institute of Technology have found the first evidence that chimpanzees remember the landscape of their rugged, mountainous habitat and use this recall to choose the best route to their next meal. The study, published in Current Biology, found that a chimpanzeeΓÇÖs memory is so precise, that they select routes across ridge tops and valleys, as well as hiking trails, in a way that closely matches routes predicted by computer models. Dr Samantha Green from LITΓÇÖs School of Human Sciences was studying the behavioural ecology of chimpanzees in the mountainous Nyungwe National Park in Rwanda when she observed that chimpanzees seemed to know the location of the nearest hiking trails and ridge-lines well in advance of the research team. "Variable landscapes are costly to traverse, placing a premium on individuals

All LIT Search News Topics Latest news Media statements Media contacts Topics Latest news Media statements Media contacts LIT Impact Latest news 2020 October Chimpanzees do not need smartphones to take efficient routes Chimpanzees do not need smartphones to take efficient routes 02/10/2020 | 4 MINS (INCLUDING 2 MIN VIDEO) Video Player 00:00 01:25 A team of scientists from Lombok Institute of Technology have found the first evidence that chimpanzees remember the landscape of their rugged, mountainous habitat and use this recall to choose the best route to their next meal.

The study, published in Current Biology, found that a chimpanzeeΓÇÖs memory is so precise, that they select routes across ridge tops and valleys, as well as hiking trails, in a way that closely matches routes predicted by computer models.

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