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DOI: 10.1371/journal.pone.0131431
论文题名:
Estimating In Situ Zooplankton Non-Predation Mortality in an Oligo-Mesotrophic Lake from Sediment Trap Data: Caveats and Reality Check
作者: Olga P. Dubovskaya; Kam W. Tang; Michail I. Gladyshev; Georgiy Kirillin; Zhanna Buseva; Peter Kasprzak; Aleksandr P. Tolomeev; Hans-Peter Grossart
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-7-6
卷: 10, 期:7
语种: 英语
英文关键词: Death rates ; Zooplankton ; Sediment ; Lakes ; Turbulence ; Water columns ; Predation ; Velocity
英文摘要: Background Mortality is a main driver in zooplankton population biology but it is poorly constrained in models that describe zooplankton population dynamics, food web interactions and nutrient dynamics. Mortality due to non-predation factors is often ignored even though anecdotal evidence of non-predation mass mortality of zooplankton has been reported repeatedly. One way to estimate non-predation mortality rate is to measure the removal rate of carcasses, for which sinking is the primary removal mechanism especially in quiescent shallow water bodies. Objectives and Results We used sediment traps to quantify in situ carcass sinking velocity and non-predation mortality rate on eight consecutive days in 2013 for the cladoceran Bosmina longirostris in the oligo-mesotrophic Lake Stechlin; the outcomes were compared against estimates derived from in vitro carcass sinking velocity measurements and an empirical model correcting in vitro sinking velocity for turbulence resuspension and microbial decomposition of carcasses. Our results show that the latter two approaches produced unrealistically high mortality rates of 0.58-1.04 d-1, whereas the sediment trap approach, when used properly, yielded a mortality rate estimate of 0.015 d-1, which is more consistent with concurrent population abundance data and comparable to physiological death rate from the literature. Ecological implications Zooplankton carcasses may be exposed to water column microbes for days before entering the benthos; therefore, non-predation mortality affects not only zooplankton population dynamics but also microbial and benthic food webs. This would be particularly important for carbon and nitrogen cycles in systems where recurring mid-summer decline of zooplankton population due to non-predation mortality is observed.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0131431&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/20363
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Institute of Biophysics, Siberian Branch of the Russian Academy of Sciences, 50/50 Akademgorodok, Krasnoyarsk, 660036, Russia;Siberian Federal University, 79 Svobodny avenue, Krasnoyarsk, 660041, Russia;Department of Biosciences and Centre for Sustainable Aquatic Research (CSAR), Swansea University, Swansea, SA2 8PP, United Kingdom;Institute of Biophysics, Siberian Branch of the Russian Academy of Sciences, 50/50 Akademgorodok, Krasnoyarsk, 660036, Russia;Siberian Federal University, 79 Svobodny avenue, Krasnoyarsk, 660041, Russia;Department of Ecohydrology, Leibniz-institute of Freshwater Ecology and Inland Fisheries, MU, 310 Ggelseedamm, Berlin, 12587, Germany;Scientific and Practical Center of the National Academy of Sciences of Belarus for Bioresources, 27 Akademicheskaya Street, 220072, Minsk, Belarus;Department of Experimental Limnology, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, 2 Alte Fischerhütte, 16775, Neuglobsow, Germany;Institute of Biophysics, Siberian Branch of the Russian Academy of Sciences, 50/50 Akademgorodok, Krasnoyarsk, 660036, Russia;Department of Experimental Limnology, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, 2 Alte Fischerhütte, 16775, Neuglobsow, Germany;Institute for Biochemistry and Biology, PotsdamUniversity, Maulbeeralle 2, 14469, Potsdam, Germany

Recommended Citation:
Olga P. Dubovskaya,Kam W. Tang,Michail I. Gladyshev,et al. Estimating In Situ Zooplankton Non-Predation Mortality in an Oligo-Mesotrophic Lake from Sediment Trap Data: Caveats and Reality Check[J]. PLOS ONE,2015-01-01,10(7)
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