Insights from the study of complex systems for the ecology and evolution of animal populations
作者机构：Department of PsychologyNeuroscience&BehaviourMcMaster UniversityHamiltonONCanada
出 版 物：《Current Zoology》 (动物学报（英文版）)
年 卷 期：2020年第66卷第1期
页 面：1-14页
核心收录：
主 题：chaos complex system complexity population dynamics social network stochasticity
摘 要：Populations of animals comprise many individuals,interacting in multiple contexts,and displaying heterogeneous *** interactions among individuals can often create population dynamics that are fundamentally deterministic yet display unpredictable *** populations can,therefore,be thought of as complex *** systems display properties such as nonlinearity and uncertainty and show emergent properties that cannot be explained by a simple sum of the interacting *** system where entities compete,cooperate,or interfere with one another may possess such qualities,making animal populations similar on many levels to complex *** fields are already embracing elements of complexity to help understand the dynamics of animal populations,but a wider application of complexity science in ecology and evolution has not *** review here how approaches from complexity science could be applied to the study of the interactions and behavior of individuals within animal populations and highlight how this way of thinking can enhance our understanding of population dynamics in *** focus on 8 key characteristics of complex systems:hierarchy,heterogeneity,selforganization,openness,adaptation,memory,nonlinearity,and *** each topic we discuss how concepts from complexity theory are applicable in animal populations and emphasize the unique insights they *** finish by outlining outstanding questions or predictions to be evaluated using behavioral and ecological *** goal throughout this article is to familiarize animal ecologists with the basics of each of these concepts and highlight the new perspectives that they could bring to variety of subfields.
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