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The clearance rate of microzooplankton as the key element for describing estimated non-linear dilution plots demonstrated by a model

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Abstract

The objective of this study was to determine whether the clearance rate of grazers (as an individual response) was sensitive enough to describe non-linear plots estimated by dilution experiments for measuring the instant grazing rate of microzooplankton. The study was based on an initial analysis of a non-linear feeding pattern based on the food concentration dependence of clearance rate of microzooplankton. In contrast to the traditional assumption of a linear functional response, I assumed that the microzooplankton functional response was non-linear and that the dependence of the clearance rate can be sub-divided into four intervals of food concentration (Sections I–IV) as follows: in Section I clearance rate is zero; Section II is a transitional interval in which the clearance rate increases from zero to a maximum value; in Section III, the clearance rate is maximal and constant, and in Section IV, the clearance rate decreases from its maximum value due to saturated ingestion rate. A set of derived differential equations describes the phytoplankton growth rate in each section, leading to the possibility of comparing predicted non-linear dilution plots with observed non-linear dilution data, using only the specific solutions for Sections III and IV. One should evaluate the quality of fit provided by the non-linear and linear models, rather than uncritically accepting only the linear model for observed non-linear dilution data, using calculated expected non-linear and linear dilution plots as alternative hypotheses. It can be demonstrated that the non-linear model provided a better fit to estimated non-linear dilution data from the Red Sea, Rhode River Estuary (USA) and Kiel Fjord (Germany) than the standard linear model. Published dilution experiments which had a non-linear shape were also selected as illustrative examples to demonstrate the superior fit of the non-linear model.

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References

  • Begon, ME, Harper JL, Townsend CR (1996) Ecology. Blackwell, Oxford

    Google Scholar 

  • Conover RT, Huntley ME (1980) General rules of grazing in pelagic ecosystems. In: Falkowski PG (ed) Primary productivity in the sea. Plenum Press, New York, pp 461–485

    Google Scholar 

  • Cotgreave P, Forseth I (2002) Introductory ecology. Blackwell, Oxford

    Google Scholar 

  • Dolan J, McKeon K (2004) The reliability of grazing rate estimates from dilution experiments: have we over-estimated rates of organic carbon consumption? Ocean Sci Discuss 1:21–36

    Google Scholar 

  • Dolan JR, Gallegos CL, Moigis A (2000) Dilution effects on microzooplankton in dilution grazing experiments. Mar Ecol Prog Ser 200:127–139

    CAS  Google Scholar 

  • Elser J, Frees DJ (1995) Microconsumer grazing and sources of limiting nutrients for phytoplankton growth: application and complications of a nutrient-deletion/dilution-gradient technique. Limnol Oceanogr 40:1–16

    Article  CAS  Google Scholar 

  • Evans GT, Paranjape MA (1992) Precision of estimates of phytoplankton growth and microzooplankton grazing when the functional response of grazers may be non-linear. Mar Ecol Progr Ser 80:285–290

    Google Scholar 

  • Fonda-Umani S, Beran A (2003) Seasonal variations in the dynamics of microbial plankton communities: first estimates from experiments in the Gulf of Trieste, Northern Adriatic Sea. Mar Ecol Prog Ser 247:1–16

    Google Scholar 

  • Frost BW (1972) Effects of size and cell concentration of food particles on the feeding behavior of the marine planktonic copepod Calanus pacificus. Limnol Oceanogr 17:805–815

    Google Scholar 

  • Frost BW (1975) A threshold feeding behavior in Calanus pacificus. Limnol Oceanogr 20:263–266

    Article  Google Scholar 

  • Frost BW (1980) Grazing. In: Morris I (ed) The physiological ecology of phytoplankton. Blackwell, Oxford, pp 465–491

    Google Scholar 

  • Gallegos CL (1989) Microzooplankton grazing on phytoplankton in the Rhode-River, Maryland: non-linear feeding kinetics. Mar Ecol Prog Ser 57:23–33

    Google Scholar 

  • Gifford DJ (1988) Impact of grazing by microzooplankton in the Northwest Arm of Halifax Harbour, Nova Scotia. Mar Ecol Prog Ser 47:249–258

    Google Scholar 

  • Harvey HW (1937) Note on selective feeding by Calanus. J Mar Biol Assoc UK 22:97–100

    Article  Google Scholar 

  • Holling CS (1959) Some characteristics of simple types of predation and parasitism. Can Enthom 91:385–398

    Google Scholar 

  • Kamiyama T (1994) The impact of grazing by microzooplankton in northern Hiroshima Bay, the Seko Island Seam, Japan. Mar Biol 119:77–88

    Article  Google Scholar 

  • Landry MR, Hassett RP (1982) Estimating the grazing impact of marine micro-zooplankton. Mar Biol 67:283–288

    Article  Google Scholar 

  • Landry MR, Constantinou J, Latasa M, Brown SL, Bidigare RR, Ondrusek ME (2000a) Biological response to iron fertilization in the eastern equatorial Pacific (IronEx II). III. Dynamics of phytoplankton growth and microzooplankton grazing. Mar Ecol Prog Ser 201:57–72

    CAS  Google Scholar 

  • Landry MR, Ondrusek ME, Tanner SJ, Brown SL, Constantinou J, Bidigare RR, Coale KH, Fitzwater S (2000b) Biological response to iron fertilization in the eastern equatorial Pacific (IronEx II). I. Microplankton community abundance and biomass. Mar Ecol Prog Ser 201:27–42

    CAS  Google Scholar 

  • Lenz J, Schneider G, El Hag AGD, Gradinger R, Fritsche P, Moigis A, Pillen T, Rolke M, Weisse T (1988) Planktological data from the central Red Sea and the Gulf of Aden. Berichte aus dem Institut fuer Meereskunde an der Christian-Albrechts-Universitaet Kiel 180

  • Lessard EJ, Murrel MC (1998) Microzooplankton hervibory and phytoplankton growth in the northwestern Sargasso Sea. Aquat Microb Ecol 16:173–188

    Google Scholar 

  • McManus G, Ederington-Cantrell M (1992) Phytoplankton pigments and growth rates, and microzooplankton grazing in a large temperate estuary. Mar Ecol Prog Ser 87:77–85

    Google Scholar 

  • Moigis AG, Gocke K (2003) Primary production estimated by means of the dilution method in coastal waters. J Plankton Res 25:1291–1300

    Article  CAS  Google Scholar 

  • Murrell MC, Hollibaugh JT (1998) Microzooplankton grazing in northern San Francisco Bay measured by the dilution method. Aquat Microb Ecol 15:53–63

    Google Scholar 

  • Nellen W, Bettac W, Roether W, Schnack D, Thiel H, Weikert H, Zeitzschel B (1996) MINDIK (Band 1), Reise Nr. 5–2, 2. January 24 September 1987. Meteor Berichte, Universitaet Hamburg 96–1

  • Parsons TR, Maita Y, Lalli CM (1985) A manual of chemical and biological methods for seawater analysis. Pergamon Press, Oxford

    Google Scholar 

  • Reckermann M, Veldhuis MJW (1997) Trophic interactions between picophytoplankton and micro- and nanozooplankton in the western Arabian Sea during the NE monsoon 1993. Aquat Microb Ecol 12:263–273

    Google Scholar 

  • Rigler FH (1961) The relation between concentration of food and feeding rate of Daphnia magna Strauss. Can J Zool 39:857–868

    Article  Google Scholar 

  • Rublee P, Gallegos C (1989) Use of fluorescently labelled algae (FLA) to estimate microzooplankton grazing. Mar Ecol Prog Ser 51:221–227

    Google Scholar 

  • Steele, JH (1974) The structure of marine ecosystems. Harvard University Press, Cambridge

    Google Scholar 

  • Strom SL, Miller CB, Frost BW (2000) What sets lower limits to phytoplankton stocks in high-nitrate, low-chlorophyll regions of the open ocean? Mar Ecol Prog Ser 193:19–31

    CAS  Google Scholar 

  • Welkowitz J, Ewen RB, Cohen J (1988) Introductory statistics for the behavioral sciences. Harcourt Brace Jovanowich Publisher, Orlando

    Google Scholar 

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Acknowledgements

The study in the Red Sea was funded by the German “Deutsche Forschungsgemeinschaft” (DFG - Le 232/16), and the dilution experiments made in the Rhode River Estuary were funded by the Office of Grants and Fellowships of the Smithsonian Institution in Washington, DC (USA). I would like to express my thanks to Dr. Charles Gallegos (Smithsonian Environmental Research Center) and his crew for making it possible to carry out the dilution experiments which were made in the Rhode River Estuary (USA), and to Dr. Klaus Gocke (Leibniz-Instituts fuer Meereswissenschaften, Kiel) for making it possible to carry out the dilution experiment made in Kiel Fjord (Germany). Technical support was provided in the U.S. laboratory by Sharyn Hedrick, Sam Benson and Karen Yee, and in the German laboratory by Peter Fritsche. I would also like to thank Eng. Uwe Rabsch (Isotope Laboratory of the Leibniz-Instituts fuer Meereswissenschaften in Kiel) and Dr. Horst Weikert (Institut fuer Hydrobiologie at the university in Hamburg, Germany) for the support the rendered to me in Kiel. My thanks also go to Prof. Dr. Juergen Lenz (Leibniz-Instituts fuer Meereswissenschaften, Kiel) for supporting the study made on the Red Sea and for his useful comments given in an earlier version of this manuscript, and to the crew of the F.S. Meteor for their assistance in the study made on the Red Sea. Last but not the least, I would like to thank all the anonymous reviewers and Prof. Michael Landry for their constructive and interesting comments and suggestions, and also for helping me improve the English language of the manuscript. The dilution experiments made by the author comply with the current laws of USA and Germany.

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Correspondence to Algird-Gordon Moigis.

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Communicated by O. Kinne, Oldendorf/Luhe

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Moigis, AG. The clearance rate of microzooplankton as the key element for describing estimated non-linear dilution plots demonstrated by a model. Mar Biol 149, 743–762 (2006). https://doi.org/10.1007/s00227-005-0202-3

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