High frequency monitoring in high mountain lakes of the Spanish Sierra Nevada after intense Saharan aerosol inputs

  1. Arg?Iz, Manuel Villar 1
  2. Zambrano, Alejandra Fern?Ndez 1
  3. Ca?Ete, Guillermo Garrido 1
  4. S?Nchez, Alfredo Garc?A 1
  5. Bustamante, Laura 1
  6. Lechuga, Presentaci?N Carrillo 1
  7. S?Nchez, Juan Manuel Medina 1
  8. Arredondo, Eulogio Corral 1
  9. P?Rez-Mart?Nez, Carmen 1
  10. Llodr?-Llabr?S, Joana 1
  1. 1 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

Editor: Sierra Nevada Global Change Observatory. Andalusian Environmental Center, University of Granada, Regional Government of Andalusia

Year of publication: 2023

Type: Dataset

CC BY 4.0

DOI: 10.15470/SVYK2W lock_openOpen access editor

Abstract

This dataset contains high frequency sampling of key parameters to ensure the collection of consistent data for the long-term records in four lakes of Sierra Nevada, Spain (Laguna de la Caldera, Laguna de R?o Seco, Laguna Larga, and Laguna-embalse de las Yeguas). A feature that makes Sierra Nevada unique is that lakes undergoes high inputs of nutrient-rich aerosols due to their proximity to the Sahara. Sampling was carried out during the ice-free period of 2022 to monitor biological and biochemical impact of an unusual year of intense aerosol inputs from the Sahara that clouded Sierra Nevada?s shallow lakes ?chocolate-coloured? at the beginning of the ice-free period. Parameters include water quality (nutrients, major cations and anions), biological (bacteria and zooplankton) and hydrological data collected in periodic sampling using water samplers, sediment traps and plankton nets. Multiparametric probes provided real-time and continuous data on multiple parameters simultaneously.

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