North Patagonian Andean Deep Lakes: Impact of Glacial Recession and Volcanic Eruption

Balseiro, Esteban; Modenutti, Beatriz; Navarro, Marcela Bastidas; Martyniuk, Nicolás; Schenone, Luca; Laspoumaderes, Cecilia

doi:10.1007/978-3-031-10027-7_3

Cited by 4 publications

(1 citation statement)

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“…1). These lakes have a monomictic thermal regime and are oligotrophic (Total Phosphorus < 5 µg L − 1 , epilimnetic Chlorophyll a < 1 µg L − 1 , Dissolved Organic Carbon < 1 mg L − 1 ), and very clear with wide euphotic zones (Morris et al 1995;Modenutti et al 2013a;Balseiro et al 2022). Lakes Mascardi and Frías are glacially-fed lakes (Hylander et al 2011;Schenone et al 2020).…”

Section: Study Area and Dataset Constructionmentioning

confidence: 99%

Vertical distribution of picocyanobacteria in deep lakes: the influence of inorganic turbidity

Schenone,

Modenutti,

Balseiro

2024

Aquat Sci

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Picocyanobacteria (Pcy) represent the dominant photosynthetic fraction in aquatic systems, contributing signi cantly to global primary production and playing a key role in global biogeochemical cycles. Based on a 20-years dataset of in situ observations in four deep Andean North-Patagonian lakes, we analyzed and presented a simple model to understand how the input of inorganic particles affects light penetration and in uences the vertical distribution of freshwater Pcy during summer strati cation. The analyzed temporal series includes two important events (volcanic eruption and glacial recession) that substantially affected lake turbidity. Thus, our mechanistic model was constructed as a function of changes in light extinction coe cient (Kd PAR ) and mean irradiance of the mixing layer (I m ). Our modeling approach using Bayesian inference and a continuous non-monotonic function successfully predicted changes in Pcy vertical distribution. The obtained model was successful in tting data of different minerogenic particles (volcanic ashes and glacial clay) and in predicting changes under sharp increases in turbidity (volcanic eruptions) as well as in more steady changes (glacial recession). Pcy maximum abundance increased with transparency (lower Kd PAR values) and the amplitude of the vertical pro le increased with higher I m values. Using our model, we achieved a full prediction of Pcy vertical distribution under different scenarios of lake transparency and lake thermal structures.

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