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Using Generative Art to Convey Past and Future Climate Transitions
Published on: March 31, 2023
Avian distributions under climate change: towards improved projections.
1Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520-8106, USA. frank.lasorte@yale.edu
The Journal of Experimental Biology
|March 2, 2010
Summary
Birds are adapting to climate change by shifting ranges. Developing mechanistic models for birds can improve predictions of future impacts on avian populations and biodiversity.
Area of Science:
- Avian ecology
- Climate change biology
- Biodiversity research
Background:
- Birds exhibit range shifts in response to climate change, moving to cooler latitudes and higher altitudes.
- These shifts impact migration, community structure, and raise concerns about future range contractions.
- Current correlative models have limitations in providing reliable projections for avian responses to climate change.
Purpose of the Study:
- To advocate for the development of mechanistic species distribution models for birds.
- To highlight how integrating flight performance and thermal data can enhance predictive accuracy.
- To emphasize the need for broader taxonomic and geographic scope, including tropical species, for generalizable inferences.
Main Methods:
- Review of existing empirical data on bird distribution, migration, and physiology.
- Discussion of the limitations of correlative species distribution models.
- Proposal for integrating mechanistic components into predictive models for avian responses.
Main Results:
- Correlative models predict significant range contractions and shifts for many bird species under climate change.
- Mechanistic models, while data-intensive, offer richer inferences but are currently limited in scope.
- Existing avian data on flight and thermal tolerance provide a strong foundation for developing improved models.
Conclusions:
- Further development of mechanistic models for birds is crucial to complement empirical data and theoretical projections.
- A balance between model detail and broad taxonomic/geographic scale is essential for global change biodiversity research.
- Birds represent an ideal group for advancing and integrating predictive modeling approaches in ecology.
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