Evolution of foraging behaviour induces variable complexity-stability relationships in mutualist-exploiter-predator communities
Lin Wang, Ting Wang, Xiao-Wei Zhang, Xiao-Fen Lin, Jia Li, Jin-Bao Liao, Rui-Wu Wang, Samraat Pawar, Tobias Bollenbach, Samraat Pawar, Tobias Bollenbach, Samraat Pawar, Tobias Bollenbach, Samraat Pawar, Tobias Bollenbach
TL;DR
This paper explores how foraging behavior evolution affects the stability of complex ecological networks with mutualistic and antagonistic interactions.
Contribution
The study introduces an adaptive network model to show how foraging adaptations influence complexity-stability relationships in ecological communities.
Findings
Adaptive foraging of top predators can stabilize mutualism but also cause chaotic dynamics under certain conditions.
Complexity-stability relationships can show multiple patterns, including double-peaked forms under high adaptation and competition.
Model predictions align with observed patterns in both freshwater and marine ecological communities.
Abstract
Early ecological theory predicts that complex ecological networks are unstable and are unlikely to persist, despite many empirical studies of such complexity in nature. This inconsistency has fascinated ecologists for decades. To resolve the complexity-stability debate, coupling population dynamics and trait dynamics is considered to be an important way to understand the long-term stability of ecological community assemblages. However, we still do not know how eco-evolutionary feedbacks affect the relationship between complexity and stability in ecologically realistic networks with both antagonistic and mutualistic interactions. Here, we explored an adaptive network model to evaluate how the evolution of foraging preference to determine the relationship between network complexity (i.e., connectance) and stability (i.e., community persistence at steady state) in…
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Taxonomy
TopicsPlant and animal studies · Evolution and Genetic Dynamics · Evolutionary Game Theory and Cooperation