Long-term cloud forest response to climate warming revealed by insect speciation history
Antonia Salces-Castellano1,2, Sean Stankowski3,4, Paula Arribas1
1Island Ecology and Evolution Research Group, Institute of Natural Products and Agrobiology (IPNA-CSIC), La Laguna, 38206, Spain.
Evolution; International Journal of Organic Evolution
|October 20, 2020
Summary
Montane cloud forests face climate change threats. Genomic data reveal that species ranges are shifting downslope, contrary to the widely accepted upslope migration model, offering new insights into biodiversity dynamics.
Area of Science:
- Ecology
- Evolutionary Biology
- Genomics
Background:
- Montane cloud forests are biodiversity hotspots and highly vulnerable to climate change.
- Understanding their response to climate change is crucial for conservation.
- Existing models predict upslope range shifts, but evidence is limited.
Purpose of the Study:
- To test competing models of montane cloud forest dynamics under climate change.
- To investigate historical range shifts using genomic data.
- To understand biodiversity generation and climate change impacts in these ecosystems.
Main Methods:
- Utilized genomic data and demographic analyses.
- Focused on a beetle species endemic to oceanic island cloud forests.
- Compared predictions from upslope versus downslope range shift models.
Main Results:
- Genomic data unequivocally support a downslope range shift model.
- Populations previously isolated at high elevations are now hybridizing at lower elevations.
- This indicates a contraction of ranges to lower altitudes.
Conclusions:
- Genomic data provide a powerful tool for studying montane cloud forest biodiversity.
- Results challenge the prevailing model of upslope range shifts.
- The findings have significant implications for predicting the impact of climate change on these vulnerable ecosystems.
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