Contrasting latitudinal patterns of reservoir methane-cycling microbial communities in water and sediment

Methane (CH<sub>4</sub>) emissions from reservoirs contribute significantly to global greenhouse gas budgets, yet the latitudinal patterns and drivers of methane-cycling microbial communities in reservoir ecosystems remain poorly understood. This study simultaneously investigated methanogenic and methanotrophic communities in both water and surface sediment habitats from 23 reservoirs across a latitudinal gradient (18–30 °N) in southeast China. We found pronounced differences in diversity and composition of methane-cycling microbial communities between water and sediment habitats. The alpha diversity of these communities decreased with increasing latitude in water, but increased in the sediment. Latitude and water depth explained differential trends in the alpha diversity of methane-cycling microbial communities in the two habitats by modulating temperature differences in water and sediments and water mixing patterns in the reservoirs. In water, the alpha diversity and composition of methane-cycling microbial communities were explained by algal biomass and dissolved oxygen, whereas in sediments, they maintained community stability and buffered environmental stresses through complex bacterial interaction networks. These findings underscore the need for habitat-specific management strategies to mitigate reservoir methane emissions in a warming climate.

Authors

Publication Details

Journal
Environmental Technology & Innovation
Published
2026-01-26
DOI
https://doi.org/10.1016/j.eti.2026.104786
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

Contrasting latitudinal patterns of reservoir methane-cycling microbial communities in water and sediment

Peng Xiao, Wanting Shi, Huihuang Chen, Yuanyuan Xue et al.
Environmental Technology & Innovation
Microbial Community Ecology and Physiology
article

Contrasting latitudinal patterns of reservoir methane-cycling microbial communities in water and sediment

Peng Xiao, Wanting Shi, Huihuang Chen, Yuanyuan Xue, Jiali Yu, Lei Jin, Erik Jeppesen, Jun Yang
article en

Abstract

Methane (CH<sub>4</sub>) emissions from reservoirs contribute significantly to global greenhouse gas budgets, yet the latitudinal patterns and drivers of methane-cycling microbial communities in reservoir ecosystems remain poorly understood. This study simultaneously investigated methanogenic and methanotrophic communities in both water and surface sediment habitats from 23 reservoirs across a latitudinal gradient (18–30 °N) in southeast China. We found pronounced differences in diversity and composition of methane-cycling microbial communities between water and sediment habitats. The alpha diversity of these communities decreased with increasing latitude in water, but increased in the sediment. Latitude and water depth explained differential trends in the alpha diversity of methane-cycling microbial communities in the two habitats by modulating temperature differences in water and sediments and water mixing patterns in the reservoirs. In water, the alpha diversity and composition of methane-cycling microbial communities were explained by algal biomass and dissolved oxygen, whereas in sediments, they maintained community stability and buffered environmental stresses through complex bacterial interaction networks. These findings underscore the need for habitat-specific management strategies to mitigate reservoir methane emissions in a warming climate.

Environmental Technology & InnovationVol. 41
Openalex Percentile: Top 81%
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.