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This research was supported by the Fondo Nacional de Desarrollo Cientifico y Tecnologico (FONDECYT) through grants 1171324, 1181773, 1201692, 1211515, and 1240245. Additional funding was provided by the Universidad Catolica del Norte (UCN) through the Vicerrectoria de Investigacion y Desarrollo Tecnologico (VRIDT), UCN-VRIDT Pro-Fondecyt "Mechanisms of adaptation of microbial communities of high-altitude geothermal environments and their importance for understanding the origin of life on early Earth" and UCN-VRIDT2095 N degrees 128/2022 "Bio-geochemical satellite recognition system in high-altitude hydrothermal ecosystems: climatic evolution and automated prediction models". P. Paquis was supported by an Agencia Nacional de Investigacion y Desarrollo (ANID) doctoral scholarship (Folio N degrees 21221380), which also funded the dual doctoral program between UCN and Universita degli Studi di Palermo (UNIPA). C. Pardo-Este and J.Z. Florez were supported by ANID postdoctoral fellowships 3230189 and 3220102, respectively. We acknowledge Pedro and the Luca family for providing accommodation during field expeditions to Lirima, and Julio Ticuna for granting authorization to conduct research within the Lirima hydrothermal system. We thank Yasna Marambio Alfaro for her expertise in geochemical analyses, Felipe Docmac Monardes for assistance with stable isotopic studies, Ana Maria Zarate Riveira for fieldwork support, Lenka Kurte Palma for expedition organization and in-situ experimental analyses, and Jonathan Garcia Araya for aerial drone imaging. This research benefited from collaborative arrangements with several institutional facilities at Universidad Catolica del Norte, Chile: The Laboratorio de Ecologia Molecular y Microbiologia Aplicada (EMMA LAB), the Laboratorio de Geoquimica, the Centro de Investigacion Tecnologica del Agua y Sustentabilidad en el Desierto (CEITSAZA), and the Unidad de Equipamiento Cientifico MAINI. We acknowledge scientific support from the Nucleo de Investigacion No.7 UCN-VRIDT 076/2020, Nucleo de modelacion y simulacion cientifica (NMSC), for providing access to high-performance computing (HPC) facilities. We express gratitude to the Fish and Stable Isotope Ecology Laboratory and the University of Antofagasta Stable Isotope Facility (UASIF) at Universidad de Antofagasta, Chile, and to the Greenhouse Gas Laboratory (LABGEI) at Pontificia Universidad Catolica de Valparaiso, Chile, for their collaborative contributions to this research.