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A Precise and Autonomous System for the Detection of Insect Emergence Patterns
Published on: January 9, 2019
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Bee phenology is predicted by climatic variation and functional traits
Michael Stemkovski1,2, William D Pearse1,3, Sean R Griffin2,4
1Department of Biology & Ecology Center, Utah State University, 5305 Old Main Hill, Logan, UT, 84322, USA.
Ecology Letters
|August 20, 2020
Summary
Climate change impacts bee emergence timing, making it sensitive to snowmelt. Bee phenology is less affected by warming than flowering plants, risking a mismatch between pollinators and their food sources.
Area of Science:
- Ecology
- Climate Change Biology
- Entomology
Background:
- Phenological synchrony between interacting species, like plants and pollinators, is crucial for ecosystem function.
- Climate change alters environmental cues, potentially disrupting these interactions and leading to temporal mismatches.
- While plant phenology is well-studied, the drivers of bee phenology remain less understood.
Discussion:
- Bee emergence timing is primarily driven by climatic factors, particularly earlier snowmelt.
- Later bee phenological stages are influenced by species-specific functional traits, such as overwintering strategy and nesting habits.
- Comparing bee and flower phenological responses reveals that bee phenology is less sensitive to climatic variation.
Key Insights:
- Community-wide analysis of 67 bee species in the Colorado Rocky Mountains quantifies drivers of bee phenology.
- Bee emergence advances with earlier snowmelt, while later stages depend on traits like overwintering and nest location.
- Bee phenology shows lower sensitivity to climate variation compared to flowering plant phenology.
Outlook:
- Reduced synchrony between bees and flowering plants is a potential consequence of differential phenological responses to climate change.
- This phenological mismatch could negatively impact plant reproduction and bee populations.
- Further research is needed to understand adaptive strategies and conservation implications for plant-pollinator networks under warming conditions.
Keywords:
Climate changeGAM (generalised additive models)Hymenopteraemergenceenvironmental cuesmismatchpeakphenophasessenescenceMore Related Videos
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