Complex System Approaches in Watershed Governance: Identification of Research Trends, Methods, and Future Direction

Watershed governance is a complex challenge that integrates environmental, social, and institutional dimensions. Traditional approaches often fail to capture the intricate interdependencies of hydrological, ecological, and governance systems. This study employs a Systematic Literature Review (SLR) to analyze the application of Complex System Approaches (CSA) in watershed governance, covering publications from 1980 to 2025 across Scopus, Dimensions, and Google Scholar. Through bibliometric and content analysis, this research identifies key trends, methodologies, and innovations in CSA-based watershed management. The findings reveal that System Dynamics Modeling (SDM), Agent-Based Modeling (ABM), Bayesian Networks (BN), and Evolutionary Game Theory (EGT) are the most utilized approaches for simulating watershed dynamics, decision-making processes, and stakeholder interactions. Additionally, studies highlight the increasing reliance on data-driven decision support systems (DSS), economic optimization models, and policy-oriented frameworks to address water resource sustainability. Despite advancements, challenges remain, including data limitations, model validation issues, and policy implementation barriers. This study provides insights into future research directions, emphasizing the need for integrated modeling frameworks, improved interdisciplinary collaboration, and adaptive governance strategies to enhance resilience and sustainability in watershed management.