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Estimating in situ zooplankton non-predation mortality in an oligo-mesotrophic lake from sediment trap data

  • 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. OurBackground 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.zeige mehrzeige weniger

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Verfasserangaben:Olga P. Dubovskaya, Kam W. Tang, Michail I. Gladyshev, Georgiy Kirillin, Zhanna Buseva, Peter Kasprzak, Aleksandr P. Tolomeev, Hans-Peter GrossartORCiDGND
URN:urn:nbn:de:kobv:517-opus4-408392
DOI:https://doi.org/10.25932/publishup-40839
ISSN:1866-8372
Titel des übergeordneten Werks (Englisch):Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
Untertitel (Englisch):caveats and reality check
Schriftenreihe (Bandnummer):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (501)
Publikationstyp:Postprint
Sprache:Englisch
Datum der Erstveröffentlichung:17.01.2019
Erscheinungsjahr:2015
Veröffentlichende Institution:Universität Potsdam
Datum der Freischaltung:17.01.2019
Freies Schlagwort / Tag:aniline blue; copepod carcasses; crustacean zooplankton; fresh-water; marine snow; nonconsumptive mortality; nonpredatory mortality; seasonal dynamics; siberian reservoir; sinking speed
Ausgabe:501
Seitenanzahl:17
Quelle:PLOS ONE 10 (2015) 7, Art. e0131431 DOI: 10.1371/journal.pone.0131431
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 50 Naturwissenschaften / 500 Naturwissenschaften und Mathematik
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Peer Review:Referiert
Publikationsweg:Open Access
Fördermittelquelle:Public Library of Science (PLOS)
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
Externe Anmerkung:Bibliographieeintrag der Originalveröffentlichung/Quelle
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