A Theoretical Framework for Reservoir Ecosystem Regimes: Connotation, Conditions, and Transitions

Reservoirs, driven jointly by artificial regulation and natural processes, are semi-artificial complex ecosystems whose equilibrium states affect the water ecological security and management effectiveness of a river basin. Understanding how operational dispatch alters hydrodynamic processes, habitat structures, and biological succession pathways is necessary, as traditional steady-state theories based on natural lakes struggle to fully explain the responses of reservoir ecosystems. Therefore, this review constructs a theoretical framework for reservoir ecosystem regimes, defining the core connotation of their “conditional metastable state” as the long-term maintenance of physicochemical, biological, and hydro morphological parameters within limits that allow ecosystem functioning under anthropogenic regulation and natural disturbances. It identifies typical characteristics such as habitat reconstruction-driven dynamics, altered ecological resilience, dual threshold effects, and regulation-modified hydrological processes. We propose that reservoir regime shifts can be analyzed from three levels: the evolutionary sequence of the full life cycle, stage transitions during the operational period, and disturbance responses at multiple time scales.

Authors

Institutions

Publication Details

Journal
Water
Published
2026-08-20
DOI
https://doi.org/10.3390/w18162040
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Theoretical Framework for Reservoir Ecosystem Regimes: Connotation, Conditions, and Transitions

Mengzhuo Yang, Jingyi Chang, Jia Jia, Shimin Tian et al.
Water
Fish Ecology and Management Studies
article

A Theoretical Framework for Reservoir Ecosystem Regimes: Connotation, Conditions, and Transitions

Mengzhuo Yang, Jingyi Chang, Jia Jia, Shimin Tian, Xia Meng, Xuejie Zhai, Rongxu Chen, Yang Zhang
article en

Abstract

Reservoirs, driven jointly by artificial regulation and natural processes, are semi-artificial complex ecosystems whose equilibrium states affect the water ecological security and management effectiveness of a river basin. Understanding how operational dispatch alters hydrodynamic processes, habitat structures, and biological succession pathways is necessary, as traditional steady-state theories based on natural lakes struggle to fully explain the responses of reservoir ecosystems. Therefore, this review constructs a theoretical framework for reservoir ecosystem regimes, defining the core connotation of their “conditional metastable state” as the long-term maintenance of physicochemical, biological, and hydro morphological parameters within limits that allow ecosystem functioning under anthropogenic regulation and natural disturbances. It identifies typical characteristics such as habitat reconstruction-driven dynamics, altered ecological resilience, dual threshold effects, and regulation-modified hydrological processes. We propose that reservoir regime shifts can be analyzed from three levels: the evolutionary sequence of the full life cycle, stage transitions during the operational period, and disturbance responses at multiple time scales.

WaterVol. 18(16)
Henan University of Technology (CN), Yellow River Institute of Hydraulic Research (CN)
Ministry of Science and Technology of the People's Republic of China, Natural Science Foundation of Henan Province
Responsible consumption and production
Openalex Percentile: Top 7%
Fish Ecology and Management Studies
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.