Doulcier Guilhem, Takacs Peter, Bourrat Pierrick
Department of Philosophy & Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, 2006, Australia.
Department of Philosophy, Macquarie University, Sydney, New South Wales, 2109, Australia.
Bioessays. 2021 Jan;43(1):e2000157. doi: 10.1002/bies.202000157. Epub 2020 Nov 25.
Fitness is a central but notoriously vexing concept in evolutionary biology. The propensity interpretation of fitness is often regarded as the least problematic account for fitness. It ties an individual's fitness to a probabilistic capacity to produce offspring. Fitness has a clear causal role in evolutionary dynamics under this account. Nevertheless, the propensity interpretation faces its share of problems. We discuss three of these. We first show that a single scalar value is an incomplete summary of a propensity. Second, we argue that the widespread method of "abstracting away" environmental idiosyncrasies by averaging over reproductive output in different environments is not a valid approach when environmental changes are irreversible. Third, we point out that expanding the range of applicability for fitness measures by averaging over more environments or longer time scales (so as to ensure environmental reversibility) reduces one's ability to distinguish selectively relevant differences among individuals because of mutation and eco-evolutionary feedbacks. This series of problems leads us to conclude that a general value of fitness that is both explanatory and predictive cannot be attained. We advocate for the use of propensity-compatible methods, such as adaptive dynamics, which can accommodate these difficulties.
适合度是进化生物学中的一个核心概念,但也是一个出了名的棘手概念。适合度的倾向解释通常被认为是对适合度问题最少的解释。它将个体的适合度与产生后代的概率能力联系起来。在这种解释下,适合度在进化动态中具有明确的因果作用。然而,倾向解释也面临着一些问题。我们讨论其中的三个问题。首先,我们表明单个标量值是对一种倾向的不完整概括。其次,我们认为,当环境变化不可逆转时,通过对不同环境中的繁殖产出进行平均来“抽象掉”环境特殊性的普遍方法是无效的。第三,我们指出,通过对更多环境或更长时间尺度进行平均(以确保环境可逆性)来扩大适合度测量的适用范围,会降低人们区分个体间选择性相关差异的能力,因为存在突变和生态进化反馈。这一系列问题使我们得出结论,无法获得一个既具有解释性又具有预测性的通用适合度值。我们主张使用与倾向兼容的方法,如适应性动力学,它可以解决这些困难。