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March 13, 2026Remote Sensing0 citationsOpen Access

Crossing the Threshold: Land Cover Change Triggers Hydrological Regime Shift in Brazil’s Itaipu Hydropower Region

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JBJessica BesnierAGAugusto GetiranaVLV. Lakshmi

Key Points

  • This study aims to characterize hydrological responses to land cover change and climate variability in the Itaipu hydropower region.
  • Analyzed land cover data from MODIS and precipitation data from CHIRPS between 2002 and 2023
  • Used GRACE satellite data to assess terrestrial water storage anomalies (TWSAs)
  • Applied Pettitt’s breakpoint test and Mann–Kendall trend analysis to identify hydrological transition points
  • Conducted Principal Component Analysis to evaluate variance explanation by land use change
  • Performed Granger causality analysis to explore relationships between land cover dynamics and water storage
  • Significant increase in TWSAs observed in mid-2009 with storage boosts of 151.6 cm at Itaipu and 103.1 cm at Yguazú Reservoir
  • Cropland rose from 13.5% to 37.9% of land cover, while savanna decreased from 28.1% to 24.2%
  • Post-2009, strong correlations between TWSAs and land cover types, particularly wetlands and croplands
  • Land use change accounted for 39–41% of TWSA variance, surpassing hydroclimatic factors
  • Identified a post-2009 regime shift with increased runoff generation per unit precipitation

Abstract

Rapid agricultural expansion threatens water security in one of the world’s largest hydroelectric systems, the Itaipu dam, located on the Brazil–Paraguay border. Yet regional hydrological responses to land cover change and climate variability remain insufficiently characterized at management-relevant scales. The Upper Paraná River Basin (UPRB), which sustains agriculture, hydropower, and municipal water supply across both countries, exemplifies this challenge as accelerating cropland conversion raises concerns about long-term water availability. This study investigates hydrological transitions and their statistical associations with land cover changes in the Itaipu study region from 2002 to 2023. We integrate GRACE/GRACE-FO (Gravity Recovery and Climate Experiment Follow-On), Terrestrial Water Storage Anomalies (TWSAs), MODIS (Moderate Resolution Imaging Spectroradiometer) land cover, CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) precipitation, and LandScan population density using Pettitt’s breakpoint test and Mann–Kendall trend analysis to detect temporal breakpoints and quantify co-variability between hydrology and land surface dynamics. Together, these methods identify a significant basin-wide shift in TWSAs in mid-2009, with storage increases of 151.6 cm at Itaipu and 103.1 cm at Yguazú Reservoir. Over the study period, cropland expanded from 13.5% to 37.9% of total land cover, while savanna declined from 28.1% to 24.2%. After 2009, correlations between land cover and TWSAs strengthened substantially, particularly for wetlands (r = 0.88), croplands (r = 0.73), and savannas (r = −0.81; all p < 0.001), indicating strong coupling between landscape transformation and basin-scale storage variability. Principal Component Analysis shows land use change explains 39–41% of TWSA variance, exceeding hydroclimatic contributions. Granger causality analysis reveals bidirectional coupling between wetlands and water storage at Itaipu, while cropland and savanna dynamics exert predictive influence on downstream hydrology in the Yguazú basin. Water balance decomposition further indicates a post-2009 regime shift, with residual storage transitioning from −10.6 to +4.7 and 78% greater runoff generation per unit precipitation, consistent with reduced infiltration capacity. Together, these findings underscore intensifying land–water feedback and the need for adaptive watershed management under expanding agriculture and climate variability.

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Cite This Study

Besnier et al. (2026) studied this question.

synapsesocial.com/papers/69b3ab8002a1e69014ccc793https://doi.org/10.3390/rs18060848
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