Sunday, May 19, 2024

$1.35m research grant to get the jump on spiders

A University of Canterbury animal behaviour expert is part of a global team launching pioneering research into the predatory behaviour of jumping spiders. 

Associate Head of the School of Biological Sciences at Te Whare Wānanga o Waitaha | University of Canterbury, Professor Ximena Nelson (pictured), has become one of just a handful of New Zealand researchers to be awarded funding from the international Human Frontier Science Program.

Professor Nelson says the new study, which has received $1.35 million over three years from the HFSP, will explore the predatory cat-like behaviour of Portia jumping spiders, which live in tropical forests and feed on other spiders.

She says Portia spiders often take long detours in order to stalk other spiders unseen rather than confronting their prey head-on, which makes them similar to large predators.

“Portia spiders spend long periods observing their prey and scanning the environment, reminiscent of lions on the African savanna peeking over tall grass while slowly approaching an antelope for a surprise attack.” 

This behaviour suggests the spiders are assessing, comparing the rewards and risks of various options, and forming a plan before taking action, said Professor Nelson.

She says the new research is the first investigation of what factors determine this planning behaviour; whether it is good vision or the type of habitat – open and desert-like or densely complex as in a rainforest – the spiders are in. 

“Notably, Portia’s vision is exceptionally good among invertebrates, with visual acuity higher than a cheetah, despite being more than 100 times smaller,” Professor Nelson says. 

A male (L) and a female (R) Portia fimbriata (Portia Spider). (Photo: Matt Walters).

The new research will test whether planning is possible, not only in mammals and birds with large brains, but also in small animals with tiny brains such as Portia, which has a brain with less than 1 million times fewer neurons than a human brain.

“Our findings will be significant because they could lead to the development of algorithms that enable the creation of artificial planning systems in machines with severe power constraints, such as those used on space missions. This may have implications for artificial intelligence,” said Professor Nelson.

She is collaborating with researchers at Johns Hopkins University and Northwestern University in the United States, and Hubei University in China, on the project which will integrate field, lab, robotics-development, and computer-simulation work. 

Latest Articles