SUSTAINABLE ASSESSMENT OF RIDE-DF BASINS BASED ON ECOSYSTEM SERVICES INDICATORS

Autor/innen

  • Giovana Souza Batista University of Brasília image/svg+xml Autor/in
    Competing Interests

    There are no conflict of interest. 

  • Henrique Llacer Roig University of Brasília image/svg+xml Autor/in
    Competing Interests

    There are no conflicting interests.

  • Diego Pereira Lindoso University of Brasília image/svg+xml Autor/in
    Competing Interests

    There are no conflict of interest.

DOI:

https://doi.org/10.36517/rm2026.e25022

Schlagwörter:

Ecosystem Services, Sustainability Indicator, Brazilian Savanna, Basins

Abstract

This paper assesses the sustainability of the Integrated Development Region of the Federal District and Surrounding Areas (RIDE-DF, >46,000 km², 32 municipalities) through key ecosystem service indicators. Using quantitative spatial modeling based on geoprocessing, the study evaluates erosion potential (USLE), aquifer recharge (curve-number method), aquifer contamination vulnerability (adapted DRASTIC), and biodiversity maintenance in the Paraná, São Francisco, and Tocantins-Araguaia basins between 1985 and 2020. Results show non-homogeneous trends: in the Paraná basin, which concentrates the Federal District's urban expansion, areas with low soil loss declined by 12%, high-contamination areas increased by 8%, and high biodiversity potential areas fell by 20%; in the São Francisco basin, the area exposed to high contamination doubled; the Tocantins-Araguaia basin improved in soil loss and recharge but lost biodiversity potential. Native vegetation loss emerges as the central driver of ecosystem service degradation, supporting future public planning, management, and monitoring policies in the RIDE-DF region.

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Autor/innen-Biografien

  • Giovana Souza Batista, University of Brasília

    Holds a degree in Environmental Sciences from the University of Brasília (UnB). Holds a master's degree from the Institute of Geosciences, with a focus on Geoprocessing and Environmental Analysis. Conducted undergraduate research at the Remote Sensing Laboratory of UnB's Institute of Geosciences, serving as a research fellow at the same laboratory for two years.

  • Henrique Llacer Roig, University of Brasília

    Full Professor at the Institute of Geosciences at the University of Brasília (UnB), working at the intersection of Space Hydrology and Sustainable Ecosystem Management. Holding a PhD in Geosciences from UnB and having completed postdoctoral research at L'Observatoire Midi-Pyrénées (France), his career is defined by work in natural resource and ecosystem service management. He currently leads research focused on sustainability and climate change, representing UnB on the Federal District Water Resources Council and within the Montevideo Group (AUGM). His work integrates remote sensing and environmental modeling to address the Sustainable Development Goals (SDGs 6, 11, 13, and 15), focusing on solutions for water management and climate resilience.

  • Diego Pereira Lindoso, University of Brasília

    Diego Lindoso is an Assistant Professor at the Center for Sustainable Development (CDS) at the University of Brasília (UnB). He conducts research at the intersection of climate change and sustainable development, focusing on impacts, adaptation, and vulnerability. He holds a Bachelor’s degree and a teaching license in Biological Sciences from UnB (2006), as well as a Master’s degree (2009) and a PhD (2013) in Sustainable Development from CDS/UnB. He also holds a Master’s degree in Water Resources Science and Technology from the University of Girona, Spain (2021). He was a visiting researcher (2011–2012) with the Climate Change Adaptation Research Group, affiliated with the Department of Geography at McGill University (Montreal, Canada). He received the 2014 CAPES Award for the best Brazilian doctoral thesis in the field of Environmental Sciences. He contributed to the first report of the Brazilian Panel on Climate Change (PBMC).

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2026-09-10

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SUSTAINABLE ASSESSMENT OF RIDE-DF BASINS BASED ON ECOSYSTEM SERVICES INDICATORS. (2026). Mercator, 25. https://doi.org/10.36517/rm2026.e25022