Characterizing multi-scale impacts of hydro-dams on ecosystems and society under climate change in Southeast Asia
Hydro-dams provide many benefits, but can also adversely affect ecosystems and society. Given that dams have influences at large scales, the impacts of dams are so complicated that it is difficult to make accurate estimates of results from dams. Three basins in Southeast Asia, the Mekong, Salween, and Irrawaddy Basins, have recently constructed hydro-dams, but their impacts on ecosystems and society remain poorly characterized due to insufficient monitoring systems, poor economic status, and complicated international relationships of the region. The spatial impacts of dams can represent the dam-related events on ecosystems and society. Given the heterogeneity of the spatial impacts of dams, understanding the impacts of dams at multiple scales can make a better estimate for better policies for Southeast Asia. This project uses novel remote-sensing methods to quantify dam impacts across scales: (1) site-scale effects on land systems, (2) watershed-scale effects on wetlands, and (3) transboundary watershed impacts.
Results show strong spatial heterogeneity by scale, location, and distance. First, site-scale analyses reveal distinct spatiotemporal land-system responses across dam stages. Second, watershed-scale analyses separate dam signals from local human activities and climate variability, showing wetland impacts differ upstream vs. downstream and near vs. far from dams. Third, analyses map the extent and directionality of distant impacts, identifying anisotropic upstream–downstream patterns. Overall, the dissertation demonstrates how a geographic, multi-scale perspective improves understanding of complex human–environment consequences of dams.
This work was a part of the funded NASA LCLUC Project, 'Assessing the Impacts of Dams on the Dynamic Interactions Among Distant Wetlands, Land Use, and Rural Communities in the Lower Mekong River Basin.'
Publications
Cho, M. S., & Qi, J. (2025). Remote sensing-based assessment of dam impacts on hydrology, geomorphology, ecosystems, and society–a review. Environmental Earth Sciences, 84(12), 344.
Dams exemplify the complex environmental consequences of human intervention. While delivering substantial benefits, dams alter hydrologic regimes and trigger cascading effects on geomorphology, ecosystems, and human systems. Remote sensing provides critical spatiotemporal observations—particularly in data-scarce regions—enabling assessment of dam impacts beyond the reach of conventional in-situ monitoring and supporting attribution by separating dam signals from climatic variability. Here, this study reviewed 73 studies to synthesize how remote sensing has been used to quantify dam-related impacts across hydrology, geomorphology, ecosystems, and society, with attention to the datasets, analytical methods, and attribution strategies employed. We then identify key limitations in the current literature and outline research priorities to advance remote sensing–based understanding of dam-driven change.
Cho, M. S., & Qi, J. (2023). Determination of Spatial Pattern of Environmental Consequences of Dams in Watersheds. Land, 12(12), 2154.
Many hydro-dams have been built for beneficial gains, but they are bringing numerous unintended negative effects on the environment and society. Since dams affect even distant areas through the hydrological alteration within watersheds, quantifying the dam impacts is complicated. For a better estimate of the consequences of dams, the distance and areas of the consequences of dams in watershed scale should be studied. Thus, this paper quantifies the spatial boundaries of the distant effects of dams on watershed and the anisotropic spatial patterns of dams on upstream and downstream watershed. The spatial characteristics of watersheds and hydrological connectivity between dams and wetlands were analyzed to spatially determine the distant effects on watersheds. The results showed that dams affect up to from 1.1 to 655.2km of upstream watersheds and from 33.7 to 1577.5km of downstream watersheds. This paper provides the spatial boundaries in assessing the environmental impacts of dams on the environment and quantifies the anisotropy of spatial patterns for the environmental consequences of dams.
Cho, M. S., & Qi, J. (2023). Characterization of the impacts of hydro-dams on wetland inundations in Southeast Asia. Science of the Total Environment, 864, 160941.
Dynamics of wetland inundated areas play a significant role in wetland ecosystems. The wetland dynamics in Southeast Asia make the region one of the most biodiverse hotspots in the world and have sustained more than 80 million people for thousands of years. However, the recent boom in hydro-dam constructions and intensified human activities have significantly altered the wetland dynamics, imposing multiple threats to its biodiversity and ecosystem services. Complex and large-scale impacts of dams, climate variability, and local human interventions complicate our understanding of wetland changes. In this study, we quantified the spatial relationship of wetlands with dams to characterize the influence of dams on the inundated areas of wetlands and to better understand the impacts of climate variability and local anthropogenic influence. Specifically, 362 natural wetlands in three major basins in Southeast Asia were analyzed to assess their characteristics of wetland inundations as a function of their distances and locations from hydro-dams. The natural pattern, trend, intra-annual variability, and amplitude of wetland inundations changed significantly over the past 8 years (from 2014 to 2021), but the magnitudes vary significantly depending on their geographic locations with respect to the dams. Local water uses, land covers, and climate variability were other major driving forces in wetland alterations. This study advances the current understanding of the role of human in large-scale wetland changes.
Fan, P., Cho, M. S., Lin, Z., Ouyang, Z., Qi, J., Chen, J., & Moran, E. F. (2022). Recently constructed hydropower dams were associated with reduced economic production, population, and greenness in nearby areas. Proceedings of the National Academy of Sciences, 119(8), e2108038119.
Hydropower dams underpin renewable energy, water management, and economic development, especially in the Global South where dam construction is rapidly accelerating. Yet global, near-field impacts and their spatial heterogeneity remain poorly understood. We show that areas within 50 km of the world’s 7,155 hydropower dams contain >1/3 of global GDP and nearly 1/3 of the global population while occupying <10% of land (excluding Antarctica). We then analyze 631 dams (≥1 MW) built since 2001 and commissioned before 2015 to quantify changes in economy, population, and environmental conditions within 50 km by region and dam size. Recently constructed dams are associated with higher GDP in North America and greater urban land in Europe, but declines in GDP, urban land, and population across the Global South and reduced greenness in Africa. Globally, dam construction is linked to decreases in economic production, population, and greenness near dams. Large dams show the strongest associations with reduced GDP and greenness, whereas small and medium dams are more strongly linked to declines in population and urban land; medium and large dams are also associated with reduced nighttime lights.
Cho, M. S., & Qi, J. (2021). Quantifying spatiotemporal impacts of hydro-dams on land use/land cover changes in the Lower Mekong River Basin. Applied Geography, 136, 102588
Hydropower development in the Lower Mekong River Basin (LMRB) has expanded rapidly, yet spatially explicit assessments of unintended social and environmental impacts remain limited—constraining policy design, including payments for ecosystem services. This study quantifies the pattern and extent of dam impacts using an ellipse-based impact model and evaluates how impact extents vary across construction stages. We apply proximity, trend, and cluster analyses to time-series nighttime lights and enhanced vegetation index (EVI) and fit the resulting impact footprints to an ellipse model. Model performance is benchmarked against a circular model using a compactness index, omission index, and ellipse index. Dam impacts are further assessed via land use/land cover change across multiple spatial scales and construction stages. Results indicate that the ellipse model better captures observed spatiotemporal impact patterns, revealing asymmetric impact footprints and distinct spatial boundaries. These findings support more realistic delineation of dam influence zones and can inform dam-related policy, particularly ecosystem-service compensation schemes.