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Seasonal shifts in trophic interaction strength drive stability of natural food webs

Authors: Ursula Gaedke; Xiaoxiao Li; Christian Guill; Lia Hemerik; Peter C. de Ruiter;

Seasonal shifts in trophic interaction strength drive stability of natural food webs

Abstract

ABSTRACTIt remains challenging to understand why natural food webs are remarkably stable despite highly variable environmental factors and population densities. We investigated the dynamics in the structure and stability of Lake Constance's pelagic food web using 7 years of high‐frequency observations of biomasses and production, leading to 59 seasonally resolved quantitative food web descriptions. We assessed the dynamics in asymptotic food web stability through maximum loop weight, which revealed underlying stability mechanisms. Maximum loop weight showed a recurrent seasonal pattern with a consistently high stability despite pronounced dynamics in biomasses, fluxes and productivity. This stability resulted from seasonal rewiring of the food web, driven by energetic constraints within loops and their embedding into food web structure. The stabilising restructuring emerged from counter‐acting effects of metabolic activity and competitiveness/susceptibility to predation within a diverse grazer community on loop weight. This underscores the role of functional diversity in promoting food web stability.

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Netherlands
Related Organizations
Keywords

energetic feasibility, asymptotic stability, maximum loop weight, Letter, Food Chain, Population Dynamics, food web structure, Models, Biological, long-term data, seasonal and interannual dynamics, Lakes, trophic interaction loops, pelagic food web, Animals, diversity and stability, Seasons, Biomass, mass-balanced network

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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hybrid
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Energy Research