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Related Experiment Video

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Field-Based Thermal Physiology Assay: Cold Shock Recovery under Ambient Conditions

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Published on: March 9, 2021

Physiology Evolves Convergently but Lags Behind Warming in Cities.

Sarah E Diamond¹, Logan R Kolaske¹, Ryan A Martin¹

¹Department of Biology, Case Western Reserve University, Cleveland, Ohio 44106, USA.

Integrative and Comparative Biology

|May 6, 2024

Summary

Urban heat islands drive evolutionary changes in species, increasing heat tolerance but lagging behind warming. This research highlights cities as crucial for studying evolution and predicting climate change impacts.

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Area of Science:

Evolutionary Biology
Urban Ecology
Climate Change Biology

Background:

Urban heat islands (UHIs) create unique environments for studying contemporary evolution.
Understanding species' adaptive responses to rapid climate change is critical.

Purpose of the Study:

To quantify the repeatability of evolutionary shifts in thermal tolerance and body size in response to UHIs.
To assess the role of temperature in driving trait divergence and identify potential adaptational lags.

Main Methods:

Comparative analysis of urban and non-urban populations across diverse species lineages.
Quantification of trait divergence (heat tolerance, cold tolerance, body size) in relation to UHI intensity.
Assessment of adaptational lags by comparing trait shifts to environmental warming.

Main Results:

Urban populations showed significant increases in heat tolerance and decreases in cold tolerance.
Trait divergence was positively correlated with UHI intensity, indicating temperature's strong influence.
Adaptive responses lagged behind warming, with heat tolerance showing a deficit of 0.84°C per 1°C warming.
Aquatic species exhibited a trend toward smaller body size in urban habitats.

Conclusions:

Cities serve as valuable experimental systems for investigating the repeatability of evolution.
Adaptational lags exist, suggesting limits to evolutionary rates in the face of rapid climate change.
Urban ecosystems can be utilized as forecasting tools to predict species' responses to future warming.