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Published on: September 28, 2022
Heat-avoidance behavior associates with thermal sensitivity rather than tolerance in aphid assemblages.
Xue Bai1, Xue-Jing Wang2, Chun-Sen Ma2
1Climate Change Biology Research Group, State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Animal heat-avoidance behavior is crucial for climate warming survival. This study finds heat sensitivity, not just heat tolerance, reliably predicts when aphids leave host plants to avoid extreme heat.
Area of Science:
- Ecology
- Animal Behavior
- Climate Change Biology
Background:
- Predicting animal responses to increasing heat events due to climate warming is critical.
- Linking physiological thermal traits to heat-avoidance behavior is challenging due to limited research and data availability.
Purpose of the Study:
- To investigate the relationship between physiological thermal traits and heat-avoidance behavior in cereal aphid assemblages.
- To determine if heat tolerance (CTmax) or heat sensitivity (HS) better predicts the temperature at which aphids initiate heat-avoidance behavior (HAT).
Main Methods:
- Measured critical thermal maximum (CTmax) and heat-avoidance temperature (HAT) in cereal aphids under simulated linear temperature increases.
- Assessed heat sensitivity (HS) by calculating the declining rate of aphid survival time with increasing temperature.
- Examined correlations between CTmax and HAT, and between HS and HAT.
Main Results:
- A strong correlation was found between heat sensitivity (HS) and heat-avoidance temperature (HAT); more heat-sensitive aphids exhibited lower HAT.
- Critical thermal maximum (CTmax) showed a weak correlation with HAT.
- Heat sensitivity proved to be a more reliable indicator of heat-avoidance behavior than thermal tolerance.
Conclusions:
- Heat sensitivity is a key factor in predicting animal heat-avoidance behaviors under climate change.
- Future climate change impact assessments should incorporate thermal sensitivity alongside thermal tolerance for more accurate predictions of animal responses.
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