Affiliation:
1. Technical University of Munich
2. Institute Curie
Abstract
Network-forming organisms, like fungi and slime molds, dynamically reorganize their networks during foraging. The resulting rerouting of resource flows within the organism's network can significantly impact local ecosystems. In current analysis limitations stem from a focus on single-time-point morphology, hindering understanding of continuous dynamics and underlying constraints. Here we study ongoing network reorganization in the foraging slime mold , identifying three distinct states with varying morphology and migration velocity. We estimate the energetic cost of each state and find a trade-off between building and transport costs within the morphological variability, facilitating different search strategies. Adaptation of state population to the environment suggests that diverse network morphologies support varied foraging strategies, though constrained by associated costs. Our findings provide insights for evaluating the impact of resource flow rerouting in changing ecosystems.
Published by the American Physical Society
2024
Funder
Max-Planck-Gesellschaft
European Research Council
Horizon 2020 Framework Programme
Publisher
American Physical Society (APS)