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原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-04-27
摘要
Temperature affects all 生物 rates and has far reaching consequences from bioengineering [1] to predicting ecological shifts under a changing 氣候 [2-3], and more recently, to pandemic spread [4]. Temperature response in 生物 systems is characteristically asymmetric and 非線性, with an exponential phase of increase followed by a concave up-ward or downward phase [5]. Current models for quantitatively describing the temperature response include simple but empirical equations (such as Arrhenius’) or models derived from first principles which are often overly complicated (i.e. with many parameters). Moreover, their theoretical framework does not include how parameters vary, nor their applicability across multiple scales and taxa, or whether they exhibit universality [1-7]. Here, we derive a new mechan
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