Researchers from the Tandon School of Engineering and University of Western Australia report robotic fish predators can quickly stress invasive fish species to curb reproduction.
Invasive species control is notoriously challenging, especially in lakes and rivers where native fish and other wildlife have limited options for escape. In his laboratory’s latest foray into using biomimetic robots to understand and modify animal behavior, NYU Tandon School of Engineering Professor Maurizio Porfiri led an interdisciplinary team of researchers from NYU Tandon and the University of Western Australia toward demonstrating how robotic fish can be a valuable tool in the fight against one of the world’s most problematic invasive species, the mosquitofish.
Found in freshwater lakes and rivers worldwide, soaring mosquitofish populations have decimated native fish and amphibian populations, and attempts to control the species through toxicants or trapping often fail or cause harm to local wildlife.
Porfiri and a team of collaborators have published the first experiments to gauge the ability of a biologically inspired robotic fish to induce fear-related changes in mosquitofish. Their findings indicate that even brief exposure to a robotic replica of the mosquitofish’s primary predator — the largemouth bass — can provoke meaningful stress responses in mosquitofish, triggering avoidance behaviors and physiological changes associated with the loss of energy reserves, potentially translating into lower rates of reproduction.
The paper, “Behavioural and Life-History Responses of Mosquitofish to Biologically Inspired and Interactive Robotic Predators,” appears in the current issue of the Journal of the Royal Society Interface.
“To the best of our knowledge, this is the first study using robots to evoke fear responses in this invasive species,” Porfiri said. “The results show that a robotic fish that closely replicates the swimming patterns and visual appearance of the largemouth bass has a powerful, lasting impact on mosquitofish in the lab setting.”
The team exposed groups of mosquitofish to a robotic largemouth bass for one 15-minute session per week for six consecutive weeks. The robot’s behavior varied between trials, spanning several degrees of biomimicry. Notably, in some trials, the robot was programmed to incorporate real-time feedback based on interactions with live mosquitofish and to exhibit “attacks” typical of predatory behavior — a rapid increase in swimming speed. Interactions between the live fish and the replica were tracked in real time and analyzed to reveal correlations between the degree of biomimicry in the robot and the level of stress response exhibited by the live fish. Fear-related behaviors in mosquitofish include freezing (not swimming), hesitancy in exploring open spaces that are unfamiliar and potentially dangerous, and erratic swimming patterns.
The researchers also measured physiologic parameters of stress response, anesthetizing the fish weekly to measure their weight and length. Decreases in weight indicate a stronger anti-predator response and result in lower energy reserves. Fish with lower reserves are less likely to survive long and devote energy toward future reproduction — factors with strong implications for population management in the wild.
Fish exposed to robotic predators that most closely mimicked the aggressive, attack-oriented swimming patterns of real-life predators displayed the highest levels of behavioral and physiological stress responses.
“Further studies are needed to determine if these effects translate to wild populations, but this is a concrete demonstration of the potential of robotics to solve the mosquitofish problem,” said Giovanni Polverino, Forrest Fellow in the Department of Biological Sciences at the University of Western Australia and the lead author of the paper. “We have a lot more work going on between our schools to establish new, effective tools to combat the spread of invasive species.”
Video credit: Maurizio Porfiri and Giovanni Polverino
Porfiri’s Dynamical Systems Laboratory is known for previous work using biomimetic robots alongside live fish to tease out the mechanisms of many collective animal behaviors, including leadership, mating preferences, and even the impact of alcohol on social behaviors. In addition to developing robots that offer fully controllable stimuli for studying animal behavior, the biomimetic robots minimize use of experimental animals.
The paper’s co-authors also include NYU Tandon doctoral student Mert Karakaya; Chiara Spinello, a researcher in Porfiri’s lab, and NYU Tandon undergraduate student Vrishin Soman. Porfiri holds faculty appointments in NYU Tandon’s Department of Mechanical and Aerospace Engineering and Department of Biomedical Engineering.
This research was supported by the National Science Foundation and the Forrest Research Foundation.
Note: Images available at https://nyutandon.photoshelter.com