Time-varying ecological interactions characterise equilibrium and stability
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arXiv
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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918072921620480 |
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| author | Caligiuri, Annalisa Emery, Emile Ferreira, Leonardo García-Castillo, Juan Lindner, Simon D. Molina-Hernández, Javier Passos, Nelson Aloysio Reis de Almeida Ribeiro, Vítor Hugo Sartore, Marika Wang, Boxuan Calleja-Solanas, Violeta |
| author_facet | Caligiuri, Annalisa Emery, Emile Ferreira, Leonardo García-Castillo, Juan Lindner, Simon D. Molina-Hernández, Javier Passos, Nelson Aloysio Reis de Almeida Ribeiro, Vítor Hugo Sartore, Marika Wang, Boxuan Calleja-Solanas, Violeta |
| contents | Ecological communities are composed of species interactions that respond to environmental fluctuations. Despite increasing evidence of temporal variation in these interactions, most theoretical frameworks remain rooted in static assumptions. Here, we develop and apply a time-varying network model to five long-term ecological datasets spanning diverse taxa and environments. Using a generalized Lotka-Volterra framework with environmental covariates, we quantify temporal rewiring of interspecific interactions, asymmetry patterns, and structural stability. Our results reveal contrasting dynamics across ecosystems: in datasets with rich temporal resolution, interaction networks exhibit marked rewiring and shifts in cooperation-competition ratios that correlate with environmental stress, consistent, though not always linearly, with the stress-gradient hypothesis. Conversely, in datasets with coarser temporal sampling, networks retain constant interaction sign structure and remain in cooperation-dominated regimes. These findings highlight the importance of temporal resolution and environmental context in shaping ecological coexistence. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_22123 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Time-varying ecological interactions characterise equilibrium and stability Caligiuri, Annalisa Emery, Emile Ferreira, Leonardo García-Castillo, Juan Lindner, Simon D. Molina-Hernández, Javier Passos, Nelson Aloysio Reis de Almeida Ribeiro, Vítor Hugo Sartore, Marika Wang, Boxuan Calleja-Solanas, Violeta Populations and Evolution Ecological communities are composed of species interactions that respond to environmental fluctuations. Despite increasing evidence of temporal variation in these interactions, most theoretical frameworks remain rooted in static assumptions. Here, we develop and apply a time-varying network model to five long-term ecological datasets spanning diverse taxa and environments. Using a generalized Lotka-Volterra framework with environmental covariates, we quantify temporal rewiring of interspecific interactions, asymmetry patterns, and structural stability. Our results reveal contrasting dynamics across ecosystems: in datasets with rich temporal resolution, interaction networks exhibit marked rewiring and shifts in cooperation-competition ratios that correlate with environmental stress, consistent, though not always linearly, with the stress-gradient hypothesis. Conversely, in datasets with coarser temporal sampling, networks retain constant interaction sign structure and remain in cooperation-dominated regimes. These findings highlight the importance of temporal resolution and environmental context in shaping ecological coexistence. |
| title | Time-varying ecological interactions characterise equilibrium and stability |
| topic | Populations and Evolution |
| url | https://arxiv.org/abs/2506.22123 |