ArticleProceedings of the National Academy of Sciences of the United States of America2022
Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Network indices show heat wave-induced fragility in experimental food webs: Operational insights for ecosystem management.Ecological applications : a publication of the Ecological Society of America · 2026Article
- Adaptive foraging fosters food web stability in environments disturbed by bioaccumulative pollutants.Scientific reports · 2025Article
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- Article
- Fundamental Interaction Niches: Towards a Functional Understanding of Ecological Networks' Resilience.Ecology letters · 2025Article
- Ecological consequences of body size reduction under warming.Proceedings. Biological sciences · 2024Review
- Interaction network rewiring and species' contributions to community-scale flexibility.PNAS nexus · 2024Article
- Impacts of extreme climatic events on trophic network complexity and multidimensional stability.Ecology · 2023Article
- Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ecological communities are constantly exposed to multiple natural and anthropogenic disturbances. Multivariate composition (if recovered) has been found to need significantly more time to be regained after pulsed disturbance compared to univariate diversity metrics and functional endpoints. However, the mechanisms driving the different recovery times of communities to single and multiple disturbances remain unexplored. Here, we apply quantitative ecological network analyses to try to elucidate the mechanisms driving long-term community-composition dissimilarity and late-stage disturbance interactions at the community level. For this, we evaluate the effects of two pesticides, nutrient enrichment, and their interactions in outdoor mesocosms containing a complex freshwater community. We found changes in interactions strength to be strongly related to compositional changes and identified postdisturbance interaction-strength rewiring to be responsible for most of the observed compositional changes. Additionally, we found pesticide interactions to be significant in the long term only when both interaction strength and food-web architecture are reshaped by the disturbances. We suggest that quantitative network analysis has the potential to unveil ecological processes that prevent long-term community recovery.
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Registered trials
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