The microbial community metabolic regime adapts to hydraulic disturbance in river–lake systems with high–frequency regulation

Our study provides theoretical support for understanding how microbial communities adapt to high-frequency hydraulic disturbances and offer valuable insights for managers to adjust water diversion strategies in a timely manner, thereby safeguarding the integrity of river-lake ecosystems.

Authors

Institutions

Publication Details

Journal
Environmental Microbiome
Published
2025-11-25
DOI
https://doi.org/10.1186/s40793-025-00821-3
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The microbial community metabolic regime adapts to hydraulic disturbance in river–lake systems with high–frequency regulation

Wei Yang, Tao Sun, Jiewei Ding, Xinyu Liu et al.
Environmental Microbiome
Microbial Community Ecology and Physiology
article

The microbial community metabolic regime adapts to hydraulic disturbance in river–lake systems with high–frequency regulation

Wei Yang, Tao Sun, Jiewei Ding, Xinyu Liu, Xiaoxiao Li, Haifei Liu, Jiayue Zhao
article en

Abstract

Our study provides theoretical support for understanding how microbial communities adapt to high-frequency hydraulic disturbances and offer valuable insights for managers to adjust water diversion strategies in a timely manner, thereby safeguarding the integrity of river-lake ecosystems.

Environmental MicrobiomeVol. 20(1)
Beijing Normal University (CN), University of Sheffield (GB)
Openalex Percentile: Top 65%
Microbial Community Ecology and Physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.