GeoTeRi: A new geochemical database of post-caldera (< 180 ka) eruptions of Teide-Pico Viejo central complex and adjacent rift systems (Tenerife, Canary Islands)

Tenerife island (Canary Islands, Spain), home to nearly a million inhabitants and attracting over 5 million tourists annually, hosts one of Europe's potentially most hazardous volcanic systems. Current volcanic activity on the island is primarily located in its central region comprising the Teide-Pico Viejo volcanic complex, and extends along the Santiago del Teide and Dorsal ridges towards the NW and NE, respectively. Understanding the volcanic stratigraphy, petrology, and geochemistry of the different eruptions within the central complex and their correlation with the rift systems is crucial to comprehend how this complex volcanic system will behave in the future, thereby improving hazard assessment for the island.

In this study, we provide a comprehensive review of the geochemistry of eruptive products associated with events that occurred in the area over the last 180ka, following the El Abrigo eruption, the island's latest caldera-forming event. Special emphasis is given to Holocene eruptions sourced at the Teide-Pico Viejo volcanic complex and the two adjacent rifts. To facilitate this, we have constructed the GeoTeRi database, which includes an exhaustive compilation of whole-rock major and trace elements analyses, along with isotopic data available in the literature (over 49 consulted references). Additionally, a review of the chronostratigraphy of the eruptions included in the database was conducted, drawing on published volcanostratigraphic maps and/or existing radiometric data.

The GeoTeRi database currently includes information from 651 rock samples, comprising over 500 major and trace elements analyses, and 176 isotopic analyses. This database aims to serve as a tool for reconstructing the geochemical evolution of the active volcanic system on the island of Tenerife and it will provide a starting point for future studies. Additionally, a detailed statistical analysis of this database is planned to evaluate its robustness, the representativeness of the analysed samples, and possible knowledge gaps in the understanding of the active system.

This research was partially funded by E.G., grant EVE (DG ECHO H2020 Ref. 826292) and the Intramural CSIC grant MAPCAN (Ref. 202130E083). OD was supported by an FPU grant (FPU18/02572) and a complementary mobility grant (EST19/00297) from the Ministry of Universities of Spain.