Temporal Structure Mediates the Robustness and Collapse of Plant-Pollinator Networks
Tom Clegg, Thilo Gross

TL;DR
This paper develops a temporal structural model of plant-pollinator networks, revealing how seasonal dynamics influence community diversity, stability, and vulnerability to collapse.
Contribution
It introduces a novel model incorporating seasonal turnover and uses network science to link temporal structure to community resilience and phase transitions.
Findings
Temporal structure creates distinct ecological phases and bistability.
It mediates the nature of community transitions, affecting whether shifts are gradual or abrupt.
Temporal dynamics reduce robustness, increasing susceptibility to extinctions.
Abstract
Mutualistic networks provide a powerful way to describe and analyse plant-pollinator communities and their structure over time. While these networks capture the complex interdependencies that link population fates across the season, they can be hard to untangle, preventing us from understanding the emergence of community-scale properties and responses to perturbation. Here, we address this problem by developing a structural model of a plant-pollinator community that explicitly incorporates seasonal turnover and the temporal nature of species interactions. We analyse our model using percolation methods from network science to derive simple analytical solutions linking network structure to emergent community diversity. Our findings reveal that temporal structure organises community diversity into distinct ecological phases, creating the potential for alternative high- and low-diversity…
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