- 1University of Sao Paulo, Escola de Engenharia de Sao Carlos, Center Wat. Res. & Environ. Systems (CRHEA), Sao Carlos-SP, Brazil (emm@sc.usp.br)
- 2University of Sao Paulo, Escola de Engenharia de Sao Carlos, Sao Carlos-SP, Brazil
- 3University of São Paulo, IEE & IAG, São Paulo-SP, Brazil
- 4Federal University of Pernambuco & APAC, ONSEAdapta, Recife-PE, Brazil
- 5UNESP, Center of Biodiversity and Climate Change, CBioClima, Rio Claro-SP, Brazil
- 6Univ of São Paulo, Faculty of Public Health, São Paulo-SP, Brazil
- 7Univ of São Paulo, Planetary Health Group, São Paulo-SP, Brazil
- 8Mc Master University, Hamilton, Canada
- 9National Center of Monitoring and Alerts of Natural Disasters, Min. Sci., Tech. & Innov., Brazil
We state Ancestral Human-Water Feedbacks (AHWF) into derived regional models of anthropogenic effects and interactions with local communities. On the one hand, we revisit alternative AHWF models from Ailton Krenak’s ancestral future perspectives, quoted for the value of history in global hydrological paradigms (Beven et al, 2025) and even enhanced into hydrological heritage living with droughts (i.e. Pereira et al, 2025). On the other hand, we adapt AHWF models for regional scales from both non-formal cosmogony (e.g. Apgar et al, 2009) and externalist perspectives on metacognition (i.e. from Arfini & Magnani’s, 2022). Thus, the AHWF puts concepts of “knowledge”, “information” and “belief” into practice. In this AHWF, new “embodied”, “extended” and “distributed” anthropogenic effects, with novel sociohydrological archetypes, are theoretically modeled. To conceptualize and simulate feedbacks in human water systems, this AHWF is applied for the coevolution of the Center of Water Resources and Environ. Studies (CRHEA) in Cerrado Biome, Brazil, with river-lake-hydropower-urban settlements. Therefore, connections to regional biomes like the Amazon and the Atlantic Forest are possible to include in this AHWF model through the support of the DREAMS project (‘Flash DRought Event evolution chAracteristics and the response Mechanism to climate change considering the Spatial correlations). Moreover, the AHWF is now operationalised with the SOPHIE initiative (Sustainable Observatory of Planetary Health through Innovation and Entrepreneurship”), with the possibility of the creation of databases for future digital twins and serious games. Topical applications of this AHWF model range for all IPCC-climate impact-drivers and their composite risks (i.e. planetary health, agri-food systems, climate change, water security, biodiversity losses, etc.) with focus on adaptation to hydrological extremes like floods, droughts and water scarcity. Future works are envisaged for the co-alignment of legacies of the IAHS-HELPING Science Decade, the WMO Early Warnings for All initiative, the UNESCO-IHP-IX Strategic Plan, the IWA Digital Water Program and the UNEP World Water Quality Alliance.
References: Apgar et al (2009) Intl. J. Interdiscipl. Soc. Sci., https://doi.org./10.18848/1833-1882/CGP/v04i05/52925; Arfini, S., Magnani, L., 2022, https://doi.org/10.1007/978-3-031-01922-7; Beven et al, 2025, Hydrol. Sci. J., https://doi.org/10.1080/02626667.2025.2452357; Mendiondo, E M (2023) DREAMS Project, FAPESP 22/08468-0, https://bv.fapesp.br/en/auxilios/111385/flash-drought-event-evolution-characteristics-and-the-response-mechanism-to-climate-change-consideri/ ; Pereira et al, 2025, Hydrol. Sci. J., https://doi.org/10.1080/02626667.2024.2446272
How to cite: Mendiondo, E. M., Taffarello, D., Ambrizzi, T., Montenegro, S., Morellato, L. P., Marchioni, D. M. L., Nardocci, A., Saraiva, A., Doubleday, N., and Marengo, J.: Ancestral Human-Water Feedbacks Help on New Regional Models of Anthropogenic Effects and Interactions with Local Communities, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15950, https://doi.org/10.5194/egusphere-egu25-15950, 2025.