Detritus-Attached Microbial Networks as Early Warning Indicators of Sediment Ecosystem Resilience in a Macrophyte-Dominated Shallow Lake

Understanding the regulation of sediment ecosystem resilience by detritus–microbe interactions is crucial for shallow lake management. We examined the coupling among the detritus composition, attached microbial community structure, and network characteristics in Baiyangdian Lake to identify microbial early warning indicators of sediment resilience. The settling detritus was mainly derived from endogenous aquatic plants, which are rich in carbon, nitrogen, and phosphorus, with organic carbon accounting for over 90% in swamp zones. The α-diversity and composition of detritus-attached microbes varied significantly across seasons and habitats, dominated by Proteobacteria and Bacteroidota. The swamp area in summer exhibited the highest complexity and robustness (robustness = 0.490), with keystone taxa belonging to Proteobacteria, Chloroflexi, Actinobacteriota, and Patescibacteria. Detritus composition significantly influenced microbial assembly, with organic carbon correlated with Bacteroidota and Cyanobacteria (P < 0.05). The association among network complexity, stability, and keystone taxa demonstrates that network architecture underpins sediment ecosystem resilience. Spatial variations in microbial functional traits and key taxa reflected differences in disturbance intensity and recovery potential, providing sensitive, quantifiable early warning indicators of resilience loss. We introduce a process-oriented approach connecting detritus composition, microbial networks, and species-mediated mechanisms of sediment ecosystem resilience, offering a novel insight into the diagnosis and management of shallow lake sediment stability.

Publication Details

Journal
ACS ES&T Water
Published
2026-03-24
DOI
https://doi.org/10.1021/acsestwater.5c01364
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Detritus-Attached Microbial Networks as Early Warning Indicators of Sediment Ecosystem Resilience in a Macrophyte-Dominated Shallow Lake

ACS ES&T Water
Microbial Community Ecology and Physiology
article

Detritus-Attached Microbial Networks as Early Warning Indicators of Sediment Ecosystem Resilience in a Macrophyte-Dominated Shallow Lake

article en

Abstract

Understanding the regulation of sediment ecosystem resilience by detritus–microbe interactions is crucial for shallow lake management. We examined the coupling among the detritus composition, attached microbial community structure, and network characteristics in Baiyangdian Lake to identify microbial early warning indicators of sediment resilience. The settling detritus was mainly derived from endogenous aquatic plants, which are rich in carbon, nitrogen, and phosphorus, with organic carbon accounting for over 90% in swamp zones. The α-diversity and composition of detritus-attached microbes varied significantly across seasons and habitats, dominated by Proteobacteria and Bacteroidota. The swamp area in summer exhibited the highest complexity and robustness (robustness = 0.490), with keystone taxa belonging to Proteobacteria, Chloroflexi, Actinobacteriota, and Patescibacteria. Detritus composition significantly influenced microbial assembly, with organic carbon correlated with Bacteroidota and Cyanobacteria (P < 0.05). The association among network complexity, stability, and keystone taxa demonstrates that network architecture underpins sediment ecosystem resilience. Spatial variations in microbial functional traits and key taxa reflected differences in disturbance intensity and recovery potential, providing sensitive, quantifiable early warning indicators of resilience loss. We introduce a process-oriented approach connecting detritus composition, microbial networks, and species-mediated mechanisms of sediment ecosystem resilience, offering a novel insight into the diagnosis and management of shallow lake sediment stability.

ACS ES&T Water
Openalex Percentile: Top 12%
Microbial Community Ecology and Physiology
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