Mating Communication Signals of the Blue-Green Sharpshooter, Graphocephala atropunctata

Abstract Vibratory communication is widespread across animal taxa, particularly among insects, yet it remains underrepresented in behavioral and communication research. Biotremological analysis is required to identify the mechanisms and factors influencing mating success in insect species that communicate via vibrational signals. This study identified and characterized vibrational signals emitted by male (M) and female (F) blue-green sharpshooters (BGSS), Graphocephala atropunctata , during mating communication under different group treatments (MMF, MF, FFM, F, and M). Using laser vibrometry in a controlled laboratory setting, we recorded and analyzed vibrational signals throughout insect interactions. Results revealed a complex communication system comprised of six distinct male signals, three male rivalry signals, and three female signals. Male–female communication followed a stereotyped duet pattern, with males initiating contact and females responding, triggering male searching behavior. The presence of a male rival caused a shift in male effort away from mating communication signaling. This foundational knowledge of BGSS communication provides crucial insights for developing targeted mating disruption techniques, potentially offering a more effective and environmentally friendly approach to BGSS population management in vineyards.

Authors

Institutions

Publication Details

Journal
Journal of Insect Behavior
Published
2026-09-25
DOI
https://doi.org/10.1007/s10905-026-09926-0
Primary Topic
Animal Behavior and Reproduction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Mating Communication Signals of the Blue-Green Sharpshooter, Graphocephala atropunctata

Crystal Espindola, Rodrigo Krugner, Jessica R. Briggs
Journal of Insect Behavior
Animal Behavior and Reproduction
article

Mating Communication Signals of the Blue-Green Sharpshooter, Graphocephala atropunctata

Crystal Espindola, Rodrigo Krugner, Jessica R. Briggs
article en

Abstract

Abstract Vibratory communication is widespread across animal taxa, particularly among insects, yet it remains underrepresented in behavioral and communication research. Biotremological analysis is required to identify the mechanisms and factors influencing mating success in insect species that communicate via vibrational signals. This study identified and characterized vibrational signals emitted by male (M) and female (F) blue-green sharpshooters (BGSS), Graphocephala atropunctata , during mating communication under different group treatments (MMF, MF, FFM, F, and M). Using laser vibrometry in a controlled laboratory setting, we recorded and analyzed vibrational signals throughout insect interactions. Results revealed a complex communication system comprised of six distinct male signals, three male rivalry signals, and three female signals. Male–female communication followed a stereotyped duet pattern, with males initiating contact and females responding, triggering male searching behavior. The presence of a male rival caused a shift in male effort away from mating communication signaling. This foundational knowledge of BGSS communication provides crucial insights for developing targeted mating disruption techniques, potentially offering a more effective and environmentally friendly approach to BGSS population management in vineyards.

Journal of Insect BehaviorVol. 39(2)
San Joaquin Valley Agricultural Sciences Center (US)
Openalex Percentile: Top 8%
Animal Behavior and Reproduction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.