外温
特质
生态学
生物
变化(天文学)
适应(眼睛)
非生物成分
进化生态学
进化生理学
气候变化
表型可塑性
选择(遗传算法)
进化生物学
寄主(生物学)
计算机科学
天体物理学
物理
人工智能
神经科学
程序设计语言
作者
Juan G. Rubalcaba,Sidney F. Gouveia,Fabricio Villalobos,Miguel Á. Olalla‐Tárraga,Jennifer M. Sunday
标识
DOI:10.1038/s41559-023-02007-x
摘要
A major challenge in ecology and evolution is to disentangle the mechanisms driving broad-scale variation in biological traits such as body size, colour, thermal physiology traits and behaviour. Climate has long been thought to drive trait evolution and abiotic filtering of trait variation in ectotherms because their thermal performance and fitness are closely related to environmental conditions. However, previous studies investigating climatic variables associated with trait variation have lacked a mechanistic description of the underpinning processes. Here, we use a mechanistic model to predict how climate affects thermal performance of ectotherms and thereby the direction and strength of the effect of selection on different functional traits. We show that climate drives macro-evolutionary patterns in body size, cold tolerance and preferred body temperatures among lizards, and that trait variation is more constrained in regions where selection is predicted to be stronger. These findings provide a mechanistic explanation for observations on how climate drives trait variation in ectotherms through its effect on thermal performance. By connecting physical, physiological and macro-evolutionary principles, the model and results provide an integrative, mechanistic framework for predicting organismal responses to present climates and climate change.
科研通智能强力驱动
Strongly Powered by AbleSci AI