共同进化
等级制度
生态学
生态网络
分组选择
选择(遗传算法)
进化生态学
比例(比率)
层级组织
进化生物学
生物
人工智能
计算机科学
地理
生态系统
寄主(生物学)
地图学
管理
经济
市场经济
作者
Kate P. Maia,Paulo R. Guimarães
摘要
ABSTRACT In ecological networks, cohesive groups of species may shape the evolution of interactions, serving as coevolutionary units. Ranging across network scales, from motifs to isolated components, elucidating which cohesive groups are more determinant for coevolution remains a challenge in ecology. We address this challenge by integrating 376 empirical mutualistic and antagonistic networks and coevolutionary models. We identified cohesive groups at four network scales containing a significant proportion of potential direct coevolutionary effects. Cohesive groups displayed hierarchical organisation, and potential coevolutionary effects overflowing lower‐scale groups were contained by higher‐scale groups, underscoring the hierarchy's impact. However, indirect coevolutionary effects blurred group boundaries and hierarchy, particularly under strong selection from ecological interactions. Thus, under strong selection, indirect effects render networks themselves, and not cohesive groups, as the likely coevolutionary units of ecological systems. We hypothesise hierarchical cohesive groups to also shape how other forms of direct and indirect effects propagate in ecological systems.
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