bioRxivEcologyPreprint
The topology of ecological drift
Abstract
Ecological drift, the random fluctuation of abundance in communities, can drastically affect the possibility of coexistence. However, ecological drift has mostly been considered at the macro-ecological scale, whereas its potential contribution to short-term ecological dynamics remains underexplored. Here, we propose a stage-structured ecological graph theory (ssEcoGT) to include complex life cycles and multiple ecological interactions to study the topology of ecological drift. ssEcoGT enables rigorous exploration of how topology of a community can affect the possibility of coexistence between two species. Using ssEcoGT, it is possible to compare the behavior of a range of models - e.g., random graphs, random graphs with intraguild predation, and random graphs with rewiring - against a complete graph of the same size. Thus, ssEcoGT provides a new tool to explore the interplay between ecological drift, competition, and stage-specific interactions.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Impossible ecologies: Interaction networks and stability of coexistence in ecological communities
Y. Meng, S. Horvat, … P. A. Haas·bioRxiv·Sep 28, 2023
- Stochastic competitive exclusion leads to a cascade of species extinctions
Jose A Capitan, Sara Cuenda, David Alonso·bioRxiv·Aug 12, 2016
- Tractable models of ecological assembly
C. A. Servan, S. Allesina·bioRxiv·Sep 2, 2020
- Interplay of structured and random interactions in complex ecosystems dynamics
Juan Giral Martínez, Matthieu Barbier, Silvia De Monte·PLoS Computational BiologyPeer-reviewed·Dec 26, 2025
- Species-composition distributions under competition, ecological drift and immigration
Ryuichi Kumata·bioRxiv·Sep 28, 2026
- Cooperation Destabilizes Communities, but Competition Pays the Price
A. S. Bhat, S. Nag, S. Dey·bioRxiv·Dec 26, 2023