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Do species' traits predict recent shifts at expanding range edges?
Amy L Angert1, Lisa G Crozier, Leslie J Rissler
1Department of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA. amy.angert@colostate.edu
Species traits influence their ability to shift ranges with climate change, but current models lack predictive power for conservation efforts. Further research is needed to improve forecasting accuracy.
Area of Science:
- Ecology
- Climate Change Biology
- Conservation Biology
Background:
- Organisms are shifting ranges in response to climate change, but species' capacities to track rapid changes remain unclear.
- Understanding range shift abilities is crucial for assessing extinction risks and predicting future ecological communities.
- Colonization at expanding range fronts depends on reproduction, dispersal, and establishment in novel habitats.
Purpose of the Study:
- To assess the relationship between species' traits and their leading-edge range shifts.
- To determine if species traits can predict range expansion under climate change.
- To identify challenges in developing trait-based forecasts for species' range shifts.
Main Methods:
- Reviewed existing evidence linking species' traits to range shifts.
- Analyzed datasets, including diet breadth in North American Passeriformes and egg-laying habitat in British Odonata.
- Evaluated the explanatory power of trait-based models for range shifts.
Main Results:
- Some expected relationships between species' traits (e.g., diet breadth, habitat generalization) and range shifts were observed.
- However, the overall explanatory power of these models was low.
- Statistically and biologically significant relationships had limited predictive utility.
Conclusions:
- While certain species traits correlate with range shifts, current models are insufficient for accurate conservation and management predictions.
- Challenges include quantifying species' natural history variation and integrating extrinsic factors like habitat fragmentation.
- Improved forecasting requires addressing data limitations and complex interactions between species traits and environmental changes.
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