Award details

Evaluation and prediction of butterfly flight patterns over field scales

Reference	BBS/E/C/00004838
Principal Investigator / Supervisor	Dr Andrew Reynolds
Co-Investigators / Co-Supervisors
Institution	Rothamsted Research
Department	Rothamsted Research Department
Funding type	Research
Value (£)	71,648
Status	Completed
Type	Institute Project
Start date	01/01/2007
End date	01/04/2009
Duration	27 months

Abstract

With the advent of harmonic radar it has become possible to monitor and record the flight patterns of individual insects over landscape scales (up to several hundred metres). These experiments have revolutionised our understanding of the flight patterns honeybees, bumblebees and moths. Honeybees caught at feeders and then displaced have been shown to adopt an optimal searching strategy when seeking the hive location. This optimal searching strategy is also adopted by bumblebees when they first leave the nest in search of forage. Male moths adopt an entirely different searching strategy when locating sexual partners. When they detect the scent from sex pheromone released by a female moth they fly in an upwind direct in search of its source. The results of a preliminary analysis suggest that butterflies fly upwind in response to floral scent from clusters of flowers and then locate individual flowers within a cluster by employing of an optimal searching strategy. The behaviour characteristics of butterflies may therefore provide an intriguing bridge between the behaviour characteristics of bees and moths. The analysis is based on the flight patterns of just ten butterflies and an idealised theory of searching. The proposed research will substantiate the preliminary study by monitoring the flight patterns of many butterflies and by developing new theories of searching that account explicitly for the influence of 'flight guides', such as dense tree-lines that are known to be used by butterflies. This new research will lead to a better understanding of insect flight patterns over field scales and will result in a validated, predictive theory of these flight patterns. This has important ramifications for the understanding and prediction of plant pollination and insect populations.

Summary

unavailable

Committee	Closed Committee - Animal Sciences (AS)
Research Topics	Crop Science, Plant Science, Systems Biology
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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