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The reshaping of trade-offs under climate warming
Adam M Siepielski1, Michael O'Connor1, Alisha A Shah2
1Department of Biological Sciences, University of Arkansas, Fayetteville, AR 72701, USA.
Trends in Ecology & Evolution
|April 8, 2026
Summary
Climate warming impacts how organisms balance multiple traits. Understanding these shifting trade-offs is crucial for predicting ecological and evolutionary responses to rising temperatures.
Area of Science:
- Ecology
- Evolutionary Biology
- Climate Change Biology
Background:
- Climate warming poses challenges to organisms at all biological levels.
- Previous research focused on individual trait responses to temperature, neglecting the interplay between multiple traits.
- The impact of warming on trait trade-offs and their influence on optimizing fitness components remains understudied.
Purpose of the Study:
- To investigate how climate warming affects the occurrence, strength, and expression of trait trade-offs.
- To explore the implications of shifting trade-off constraints on ecological and evolutionary dynamics.
- To highlight the importance of thermal properties of trade-offs in predicting species' climate responses.
Main Methods:
- The study conceptually examines the influence of climate warming on trait trade-offs.
- It analyzes how temperature influences the constraints shaping multiple fitness components.
- The research considers the thermal conservatism and malleability of trade-offs within and between species.
Main Results:
- Climate warming can alter the fundamental nature of trait trade-offs.
- Shifting trade-offs under warming present new challenges for organisms.
- The degree to which trade-offs are thermally conservative or malleable influences species' adaptive capacity.
Conclusions:
- Accounting for the thermal properties of trade-offs is essential for predicting biological responses to climate change.
- Understanding trade-off dynamics under warming provides novel insights into ecological and evolutionary trajectories.
- This framework enhances our ability to forecast climate change impacts across diverse biological scales.
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