Usinowicz Jacob, O'Connor Mary I
Department of Zoology, University of British Columbia, Vancouver, Canada.
Biodiversity Research Centre, University of British Columbia, Vancouver, Canada.
Ecol Lett. 2023 Apr;26(4):621-639. doi: 10.1111/ele.14166. Epub 2023 Feb 27.
Information processing is increasingly recognized as a fundamental component of life in variable environments, including the evolved use of environmental cues, biomolecular networks, and social learning. Despite this, ecology lacks a quantitative framework for understanding how population, community, and ecosystem dynamics depend on information processing. Here, we review the rationale and evidence for 'fitness value of information' (FVOI), and synthesize theoretical work in ecology, information theory, and probability behind this general mathematical framework. The FVOI quantifies how species' per capita population growth rates can depend on the use of information in their environment. FVOI is a breakthrough approach to linking information processing and ecological and evolutionary outcomes in a changing environment, addressing longstanding questions about how information mediates the effects of environmental change and species interactions.
信息处理日益被视为在多变环境中生命的一个基本组成部分,包括对环境线索、生物分子网络和社会学习的进化利用。尽管如此,生态学缺乏一个定量框架来理解种群、群落和生态系统动态如何依赖于信息处理。在此,我们回顾了“信息的适应度价值”(FVOI)的基本原理和证据,并综合了生态学、信息论以及这一通用数学框架背后的概率方面的理论工作。FVOI量化了物种的人均种群增长率如何依赖于对其环境中信息的利用。FVOI是一种突破性方法,用于在变化的环境中将信息处理与生态和进化结果联系起来,解决了关于信息如何介导环境变化和物种相互作用影响的长期问题。