Meta-analysis of theoretical frameworks, methods and data for coupled human–water systems: decadal progress and future directions

Coevolution of coupled human–water systems (CHWS) is critical for long-term sustainable water management, linking to Panta Rhei. However, the study of CHWS suffers from complexity brought by diverse natural and social science disciplines. In this study, we investigated the general landscape of the theoretical frameworks, methods and data in CHWS case studies. Our meta-analysis, encompassing 205 cases, draws on eight proposed theoretical frameworks in four typologies, quantifying the prevalence and geographical distribution of methods and data. Results demonstrated the analytical strength of sociohydrology for CHWS, underscoring the need to integrate multidisciplinary theoretical frameworks. A combination of qualitative and quantitative methods and data would help overcome the limitations of each method when used in isolation, broadening the research scope of disciplines. This requires sociohydrology to enhance its ability to integrate diverse research approaches. The uneven global distribution of CHWS research teams highlights the necessity of increasing collaboration and resource sharing across borders.

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Publication Details

Journal
Hydrological Sciences Journal
Published
2026-06-16
DOI
https://doi.org/10.1080/02626667.2026.2674166
Primary Topic
Water Governance and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00

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article

Meta-analysis of theoretical frameworks, methods and data for coupled human–water systems: decadal progress and future directions

Haoyang Lyu, Fuqiang Tian, Leyang Liu, Ana Mijić et al.
Hydrological Sciences Journal
Water Governance and Infrastructure
article

Meta-analysis of theoretical frameworks, methods and data for coupled human–water systems: decadal progress and future directions

Haoyang Lyu, Fuqiang Tian, Leyang Liu, Ana Mijić, Jing Wei
article en

Abstract

Coevolution of coupled human–water systems (CHWS) is critical for long-term sustainable water management, linking to Panta Rhei. However, the study of CHWS suffers from complexity brought by diverse natural and social science disciplines. In this study, we investigated the general landscape of the theoretical frameworks, methods and data in CHWS case studies. Our meta-analysis, encompassing 205 cases, draws on eight proposed theoretical frameworks in four typologies, quantifying the prevalence and geographical distribution of methods and data. Results demonstrated the analytical strength of sociohydrology for CHWS, underscoring the need to integrate multidisciplinary theoretical frameworks. A combination of qualitative and quantitative methods and data would help overcome the limitations of each method when used in isolation, broadening the research scope of disciplines. This requires sociohydrology to enhance its ability to integrate diverse research approaches. The uneven global distribution of CHWS research teams highlights the necessity of increasing collaboration and resource sharing across borders.

Hydrological Sciences Journal
Nanjing Forestry University (CN), Imperial College London (GB), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Water Governance and Infrastructure
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