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Using historical and experimental data to reveal warming effects on ant assemblages.
Julian Resasco1, Shannon L Pelini2, Katharine L Stuble3
1Department of Biology, University of Florida, Gainesville, Florida, United States of America.
Plos One
|February 8, 2014
Summary
Climate change impacts on ant communities are complex. Combining historical data and experiments reveals warming effects, with some species thriving and others declining, highlighting the need to study functional traits for accurate predictions.
Area of Science:
- Ecology
- Climate Change Biology
- Entomology
Background:
- Assessing climate change impacts on biota is challenging due to confounding factors like land-use change.
- Experimental manipulations are crucial for attributing biotic changes to climate warming.
- Long-term warming effects are difficult to study directly, necessitating combined approaches.
Purpose of the Study:
- To investigate the effects of warming on ant assemblages in the southeastern US.
- To compare responses from historical observational data with experimental warming data.
- To understand species-specific and community-level responses to temperature increases.
Main Methods:
- Utilized a 35-year observational dataset (1976-2011) of ant communities and temperature trends.
- Integrated experimental data from a study manipulating ambient temperatures by 1.5-5.5 °C (2010-2012).
- Analyzed changes in ant species richness, evenness, turnover, and abundance of specific species.
Main Results:
- Ant species richness and evenness decreased with natural warming but not experimental warming.
- Species turnover increased with temperature in both observational and experimental datasets.
- Thermophilic species (Crematogaster lineolata) increased, while heat-intolerant species (Myrmecina americana) decreased with warming.
Conclusions:
- Interpreting community responses to warming requires both historical records and experiments.
- Species-specific responses to warming are influenced by thermal tolerances and functional traits.
- Understanding functional traits is key to predicting species' responses to ongoing climate change.
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