ABSTRACT
Many insects are able to precisely control their jumping movements. Once in the air, the properties of the actual landing site, however, are almost impossible to predict. Falling insects thus have to cope with the situation at impact. In particular, for insects jumping to escape predators, a controlled landing movement appears to be a major evolutionary advantage. A quick recovery into an upright and stable body posture minimizes the time to prepare for the next escape jump. In this study, we used high-speed recordings to investigate the falling and in particular the impact behavior of Schistocerca gregaria locusts, a common model organism for studies on the biomechanics of jumping. Detailed impact analyses of free-falling locusts show that most insects typically crashed onto the substrate. Although free-falling locusts tended to spread their legs, they mostly fell onto the head and thorax first. The presence of wings did not significantly reduce impact speed; however, it did affect the orientation of the body at impact and significantly reduced the time to recover. Our results also show that alive warm locusts fell significantly faster than inactive or dead locusts. This indicates a possible tradeoff between active control versus reduced speed. Interestingly, alive insects also tended to perform a characteristic bending movement of the body at impact. This biomechanical adaptation might reduce the rebound and shorten the time to recover. The adhesive pads also play an important role in reducing the time to recover by allowing the insect to anchor itself to the substrate.
FOOTNOTES
Competing interests
The authors declare no competing or financial interests.
Author contributions
Conceptualization: S.V.R., S.L., J.-H.D.; Methodology: S.V.R., S.L., J.-H.D.; Formal analysis: S.V.R., S.L., J.-H.D.; Investigation: S.V.R.; Resources: J.-H.D.; Writing - original draft: S.V.R., S.L., J.-H.D.; Writing - review & editing: S.V.R., S.L., J.-H.D.; Visualization: S.V.R.; Supervision: S.L., J.-H.D.; Project administration: J.-H.D.; Funding acquisition: J.-H.D.; Software: S.V.R.
Funding
Parts of this study were financially supported by the Deutschlandstipendium (S.V.R.) and the Grassroots Initiative of the Max-Planck-Gesellschaft (J.-H.D.).
Data availability
The source code of the Blender export algorithms can be downloaded at https://github.com/Amudtogal/blenderMotionExport. Detailed video and tracking data of this study are available from the corresponding author on request.
Supplementary information
Supplementary information available online at http://jeb.biologists.org/lookup/doi/10.1242/jeb.202986.supplemental
- Received March 6, 2019.
- Accepted June 25, 2019.
- © 2019. Published by The Company of Biologists Ltd