Numerical Modeling of Vertical Distribution of Living and Dead Copepods Arctodiaptomus salinus in Salt Lake Shira
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In deep stratified lakes, the processes of growth and mortality of zooplankton populations result in uneven vertical distributions of living and dead organisms in a water column. The carcasses in the water are removed by sinking, degradation due to microbial decomposition and detritivory, etc. In the case of the epilimnion maximum of zooplankton, provided that the degradation prevails over the sinking, the downward flux of carcasses exponentially decays with depth. This vertical profile of dead organisms, demonstrating the decline in meta- and hypoliminon, can be described by the numerical model presented in this paper. The model approximation of the field data makes it possible to determine non-predator mortality rate m and degradation rate D in relative terms (m/v and D/v, v—sinking velocity) or absolute values (with defined v). For the case of the copepod population of Arctodiaptomus salinus in Lake Shira, the calculated m and D (medians of 0.13 and 0.26 day–1, respectively) were in a good agreement with the literature data. This method also gives the advantage of using the depth-dependent sinking velocity v.
Keywordszooplankton nonpredatory mortality numerical modeling Arctodiaptomus salinus
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- Dubovskaya, O.P., Non-predatory mortality of the crustacean zooplankton, and its possible causes (a review), Zh. Obshch. Biol., 2009, vol. 70, no. 2, pp. 168–192.Google Scholar
- Dubovskaya, O.P., Evaluation of abundance of dead crustacean zooplankton in a water body using staining of the samples by aniline blue technique: methodological aspects, Zh. Sib. Fed. Univ., Biol., 2008, vol. 1, no. 2, pp. 145–161.Google Scholar
- Dubovskaya, O.P., Tang, K.W., Gladyshev, M.I., Kirillin, G., Buseva, Z., Kasprzak, P., Tolomeev, A.P., and Grossart, H.-P., Estimating in situ zooplankton nonpredation mortality in an oligo-mesotrophic lake from sediment trap data: caveats and reality check, PLoS One, 2015, vol. 10, p. e0131431. doi 10.1371/journal.pone.0131431CrossRefGoogle Scholar
- Dubovskaya, O.P., Tolomeev, A.P., and Buseva, Z.F., The methodology of using sediment traps to study vertical flux and sinking velocities of suspended particles of large size: marine snow, fecal pellets, and zooplankton carcasses (a review), Zh. Sib. Fed. Univ., Biol., 2017, vol. 10, no. 3, pp. 269–300.CrossRefGoogle Scholar
- Dubovskaya, O.P., Tolomeev, A.P., Kirillin, G., Buseva, Z., Tang, K.W., and Gladyshev, M.I., Effects of water column processes on the use of sediment traps to measure zooplankton non-predatory mortality: a mathematical and empirical assessment, J. Plankton Res., 2018, vol. 40, pp. 91–106.CrossRefGoogle Scholar
- Gladyshev, M.I. and Gubanov, V.G., Seasonal dynamics of specific mortality of Bosmina longirostris in forest pond determined on the basis of counting of dead individuals, Dokl. Biol. Sci., 1996, vol. 348, nos. 1–6, pp. 244–245.Google Scholar
- Glebov, N.I., Kochetov, Yu.A., and Plyasunov, A.V., Metody optimizatsii. Uchebnoe posobie (Optimization Methods: Manual), Novosibirsk: Novosib. Gos. Univ., 2000.Google Scholar
- Gubanov, M.V., Interspecies interactions of dominant species of Lake Shira biota in laboratory conditions, Cand. Sci. (Biol.) Dissertation, Krasnoyarsk: Sib. Fed. Univ., 2009.Google Scholar
- Stepanov, V.N. and Svetlichnyi, L.S., Issledovaniya gidromekhanicheskikh kharakteristik planktonnykh kopepod (Analysis of Hydromechanical Characteristics of Planktonic Copepods), Kiev: Naukova Dumka, 1981.Google Scholar
- Tang, K.W. and Elliott, D.T., Copepod carcasses: occurrence, fate and ecological importance, in Copepods: Diversity, Habitat and Behavior, Seuront, L., Ed., Hauppauge, NY: Nova Science, 2013, pp. 255–278Google Scholar