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\begin{document}

\title{Winter atmospheric nutrients and pollutants deposition on West Sayan
mountain lakes (Siberia)}



\author[1]{Daniel Diaz-de-Quijano}%
\author[1]{Aleksander V Ageev}%
\author[1]{Elena Anatolevna Ivanova}%
\author[2]{Olesia V Anishchenko}%
\affil[1]{Siberian Federal University}%
\affil[2]{Institute of Biophysics, Siberian Branch, Russian Academy of Sciences}%


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  \date{May 25, 2024}


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\begin{abstract}
The world map of anthropogenic atmospheric nitrogen deposition and its
effects on natural ecosystems is not described with equal precision
everywhere. In this paper, we report atmospheric nutrient, sulphate and
spheroidal carbonaceous particles (SCPs) deposition rates, based on
snowpack analyses, of a formerly unexplored Siberian mountain region.
Then, we discuss their potential effects on lake phytoplankton biomass
limitation.

We estimate that the nutrient depositions observed in the late season
snowpack (40\selectlanguage{ngerman}±16 mg NO-N×m and 0.58±0.13 mg TP-P·m) would correspond to
yearly depositions lower than 119±71 mg NO-N·m·y and higher than
1.71±0.91 mg TP-P·m·y. These yearly deposition estimates would
approximately fit the predictions of global deposition models and
correspond to the very low nutrient deposition range although they are
still higher than world background values.

In spite of the fact that such low atmospheric nitrogen deposition rate
would be enough to induce nitrogen limitation in unproductive mountain
lakes, the extremely low phosphorus deposition would have made the
bioavailable N:P deposition ratio to be frankly high. In the end, lake
phytoplankton appeared to be hanging on the fence between phosphorus and
nitrogen limitation, with a trend towards nitrogen limitation. We
conclude that slight imbalances in the nutrient deposition might have
important effects on the ecology of these lakes under the expected
scenario of climate warming, increased winter precipitation, enhanced
forest fires and shifts in anthropogenic nitrogen emissions.%
\end{abstract}\selectlanguage{ngerman}%



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