Related Experiment Video
Updated: Jul 5, 2026

10:50
Rearing and Long-Term Maintenance of Eristalis tenax Hoverflies for Research Studies
Published on: May 19, 2018
Hover flies are efficient pollinators of oilseed rape
Frank Jauker1, Volkmar Wolters
1Department of Animal Ecology, Justus Liebig University, Heinrich-Buff-Ring 28-32, 35392, Giessen, Germany. frank.jauker@bio.uni-giessen.de
Oecologia
|April 29, 2008
Summary
Hover flies like Episyrphus balteatus are vital pollinators for crops like oilseed rape, boosting yield and seed set. Their efficiency can decrease at high densities, contrary to bees.
Area of Science:
- Ecology
- Entomology
- Conservation Biology
Background:
- Pollinator decline impacts crops and biodiversity.
- Most research focuses on bees, neglecting other pollinators like hover flies.
- Hover flies (e.g., Episyrphus balteatus) are globally abundant invertebrates.
Purpose of the Study:
- To investigate the pollination efficiency of Episyrphus balteatus on oilseed rape (Brassica napus).
- To assess the impact of hover fly pollination on crop yield and seed set.
- To understand how pollinator density affects hover fly pollination efficiency.
Main Methods:
- Enclosure experiments conducted over two consecutive years at an agricultural site in Germany.
- Focused on the hover fly species Episyrphus balteatus and the crop oilseed rape (Brassica napus).
- Measured seed set and yield as indicators of pollination efficiency.
Main Results:
- Episyrphus balteatus significantly increased both seed set and yield of oilseed rape.
- This positive effect was consistent across two years, despite variations in environmental conditions.
- Pollination efficiency of E. balteatus decreased at higher densities, suggesting density-dependent negative effects.
Conclusions:
- Hover flies play a crucial role as pollinators for arable crops, even under changing environmental conditions.
- Density-dependent factors can negatively impact hover fly pollination efficiency.
- Ecological models should account for biotic interactions and varying pollinator densities for accurate predictions.

