A model study of the effect of weather forcing on the ecology of a meromictic Siberian lake
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We used a Lake Shira numerical model to estimate the response of the ecosystem of a saline meromictic lake to variations in weather parameters during the growing season. The sensitivity analysis of the model suggests that compared to other external (nutrient inflows) and internal (spring biomasses of food-web components) factors, weather parameters are among the most influential for both mixolimnetic (phyto- and zooplankton) and monimolimnetic (purple sulfur bacteria, sulfur reducing bacteria and hydrogen sulfide) food-web components. Calculations with different weather scenarios shows how changes in the water temperature and mixing depth affect mixolimnetic and monimolimnetic food-web components and the depth of the oxic-anoxic interface in a meromictic lake. When weather forcing stimulates an increase in the biomass of food-web components in the mixolimnion, it produces cascading effects that lead to three results: 1) a higher content of detritus in the water column; 2) a higher content of hydrogen sulfide in the monimolimnion; 3) raising of the oxic-anoxic interface closer to the water-air surface. This cascading effect is complicated by the negative correlation between two light dependent primary producers located at different depths—phytoplankton in the mixolimnion and purple sulfur bacteria at the oxic-anoxic interface. Thus, weather conditions that stimulate higher phytoplankton biomass are associated with a higher detritus content and lower biomass of purple sulfur bacteria, a higher content of hydrogen sulfide and a shallower oxic-anoxic interface. The same weather conditions (higher wind, lower cloud cover, and lower air temperature) promote a scenario of less stable thermal stratification. Thus, our calculations suggest that weather parameters during the summer season strongly control the mixing depth, water temperature and the mixolimnetic food web. An effect of biogeochemical and physical interactions on the depth of the oxicanoxic interface is also detectable. However, intra- and interannual climate and weather effects will be more important for the control of meromixis stability.
Keywordmeromictic lake numerical model weather forcing sensitivity analysis stratification food web
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We are grateful to all colleagues from the Institute of Biophysics SB RAS and other academic institutes who have been engaged in long-term research at Lake Shira, providing the field data to support modeling. Special thanks to Prof. Aharon Oren, Elena Krasova and Sofia Shishatskaya for linguistic improvements. Two anonymous reviewers are acknowledged for helpful comments and suggestions.
- Simlab. 2011. Software package for uncertainty and sensitivity analysis. Joint Research Centre of the European Commission. http://simlab.jrc.ec.europa.eu.Google Scholar
- Arvola L, George G, Livingstone D M, Järvinen M, Blenckner T, Dokulil M T, Jennings E, Aonghusa C N, Nõges P, Nõges T, Weyhenmeyer G A. 2009. The impact of the changing climate on the thermal characteristics of lakes. In: George G ed. The Impact of Climate Change on European Lakes. Aquatic Ecology Series, vol. 4. Springer, Dordrecht. p.85–101.CrossRefGoogle Scholar
- Boehrer B, Schultze M. 2008. Stratification of lakes. Rev. Geophys., 46 (2): RG2005.Google Scholar
- Degermendzhy A G, Zadereev Y S, Rogozin D Y, Prokopkin I G, Barkhatov Y V, Tolomeev A P, Khromechek E B, Janse J H, Mooij W M, Gulati R D. 2010. Vertical stratification of physical, chemical and biological components in two saline lakes Shira and Shunet (South Siberia, Russia). Aquat. Ecol., 44 (3): 619–632.CrossRefGoogle Scholar
- Janse J H. 2005. Model Studies on the Eutrophication of Shallow Lakes and Ditches. Wageningen University, Wageningen, The Netherlands. 378p.Google Scholar
- Melack J M, Jellison R, MacIntyre S, Hollibaugh J T. 2017. Mono Lake: plankton dynamics over three decades of meromixis or monomixis. In: Gulati R D, Zadereev E S, Degermendzhi A G eds. Ecology of Meromictic Lakes. Springer, Cham. p.325–351.Google Scholar
- Mooij W M, Trolle D, Jeppesen E, Arhonditsis G, Belolipetsky P V, Chitamwebwa D B R, Degermendzhy A G, DeAngelis D L, De Senerpont Domis L N, Downing A S, Elliott J A, Fragoso C R, Gaedke U, Genova S N, Gulati R D, Håkanson L, Hamilton D P, Hipsey M R, Hoen J, Hülsmann S, Los F H, Makler–Pick V, Petzoldt T, Prokopkin I G, Rinke K, Schep S A, Tominaga K, Van Dam A A, Van Nes E H, Wells S A, Janse J H. 2010. Challenges and opportunities for integrating lake ecosystem modelling approaches. Aquat. Ecol., 44 (3): 633–667.CrossRefGoogle Scholar
- Prokopkin I G, Barkhatov Y V, Khromechek E B. 2014. A onedimensional model for phytoflagellate distribution in the meromictic lake. Ecol. Modell., 288: 1–8.Google Scholar
- Rinke K, Yeates P, Rothhaupt K O. 2010. A simulation study of the feedback of phytoplankton on thermal structure via light extinction. Freshw. Biol., 55 (8): 1 674–1 693.Google Scholar
- Rogozin D Y, Tarnovsky M O, Belolipetskii V M, Zykov V V, Zadereev E S, Tolomeev A P, Drobotov A V, Barkhatov Y V, Gaevsky N A, Gorbaneva T B, Kolmakova A A, Degermendzhi A G. 2017. Disturbance of meromixis in saline Lake Shira (Siberia, Russia): possible reasons and ecosystem response. Limnologica Limnol. Ecol. Manage. Inland Waters, 66: 12–23.CrossRefGoogle Scholar
- Saltelli A, Tarantola S, Campolongo F, Ratto M. 2004. Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models. John Wiley & Sons, Ltd., Chichester. 217p.Google Scholar
- Zadereev E S, Boehrer B, Gulati R D. 2017a. Introduction: meromictic lakes, their terminology and geographic distribution. In: Gulati R D, Zadereev E S, Degermendzhi A G eds. Ecology of Meromictic Lakes. Springer, Cham. p.1–11.Google Scholar
- Zadereev E S, Gulati R D, Camacho A. 2017b. Biological and ecological features, trophic structure and energy flow in meromictic lakes. In: Gulati R D, Zadereev E S, Degermendzhi A G eds. Ecology of Meromictic Lakes. Springer, Cham. p.61–86.Google Scholar
- Zotina T A, Tolomeyev A P, Degermendzhy N N. 1999. Lake Shira, a Siberian salt lake: ecosystem structure and function: 1. Major physico–chemical and biological features. Int. J. Salt Lake Res., 8 (3): 211–232.Google Scholar