Stepwise iterative calibration of a multi-species phytoplankton-zooplankton simulation model using laboratory data

Rose, Kenneth A.; Swartzman, Gordon; Kindig, Andrew C.; Taub, Frieda B.

doi:10.1016/0304-3800(88)90089-0

Cited by 32 publications

(18 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Often these criticisms derive from several of the aforementioned benefits of experimental microcosms, including simplification, control of scale and environmental effects, and a reduction in spatial heterogeneity. Kareiva (1989) and others (e.g., Gause 1934, Schoener 1971, 1983, Tilman 1977, Rose et al 1988, Drake 1990 have stressed the connection between mathematical theory and experimentation for ecology, both in microcosms and in field experiments. We argue that this inherent complexity in nature is what makes the use of laboratory microcosms both desirable, valid, and indeed necessary.…”

Section: Researchmentioning

confidence: 99%

Microcosms as Models for Generating and Testing Community Theory

Drake¹,

Huxel²,

Hewitt³

1996

Ecology

147

View full text Add to dashboard Cite

Section: Researchmentioning

confidence: 99%

Microcosms as Models for Generating and Testing Community Theory

Drake¹,

Huxel²,

Hewitt³

1996

Ecology

147

View full text Add to dashboard Cite

“…The parameter for density dependent growth limitation, c (0.05 mg dw-'.l-'.d-'), is scaled to achieve a maximum phytoplankton carrying capacity of 10 mg dw/l. The parameters determining the zooplankton grazing rate, assimilation efficiency, mortality and respiration are taken near the median of the literature ranges of parameters reported by Rose and Swartzman (1988) for mediumsized Daphnia (p =0.4 day-'; e=0.6; m= 0.175 d-; ha =0.6 mg dw.l-1). The parameters determining the shape of the type-III functional response of fish to zooplankton density are set more or less arbitrarily.…”

Section: Parameter Values and Dimensionsmentioning

confidence: 99%

“…Most of them at least account for effects of nutrient recycling and temperature (see J0rgen-sen 1983 for a review). More elaborate versions include several species and structured populations of zooplankton (Rose and Swartzman 1988). The complexity of such models prohibits a simple generic analysis of the effect on the system of predation on zooplankton.…”

mentioning

confidence: 99%

Fish and Nutrients Interplay Determines Algal Biomass: A Minimal Model

Scheffer¹

1991

Oikos

159

101

View full text Add to dashboard Cite

JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. . Wiley-Blackwell and Nordic Society Oikos are collaborating with JSTOR to digitize, preserve and extend access to Oikos. Scheffer, M. 1991. Fish and nutrients interplay determines algal biomass: a minimal model. -Oikos 62: 271-282.An analysis is presented of a simple zooplankton-phytoplankton interaction model, accounting for the effects of nutrients and planktivorous fish. The overall behaviour is shown to be analogous to that of the cusp catastrophe model with nutrients and fish as control variables. Predictions that emerge are: -gradual change in fish density can lead to discontinuous changes in zooplankton and phytoplankton density under eutrophic conditions. -planktivorous fish tends to damp zooplankton-phytoplankton oscillations.-enrichment in the absence of fish enhances zooplankton density, but has no effect on algal density, whereas in the presence of a high fish stock the opposite applies. These and other predicted patterns are demonstrated to be present indeed in much field data and experimental results. It is concluded that several, often counter intuitive and complex, patterns in plankton dynamics can be understood simply from the basic features of the considered three trophic level interaction.M. Scheffer, Inst. for Inland Water Management and Waste Water Treatment,

show abstract

“…A computer simulation model has been developed in which individual physiological processes or mortality can be manipulated to demonstrate total system behavior. The studies have included conceptual model development Rose 1983/1984), calibration of biological parameters from single and paired species through full microcosm behavior (Rose et al 1988), effects of streptomycin (Swartzman et al 1989), seasonal sucession as influenced by Cu additions at different times (Taub et al 1991), effects of Cu on algal biomass (Swartzman et al 1990), and the effects of nutrient changes when other factors such as light penetration interact with nutrient limitation (Taub 1997a). The effects of the timing of impact (50% reduction of Daphnia population) are described below.…”

Section: Methodsmentioning

confidence: 99%

Unique Information Contributed by Multispecies Systems: Examples From the Standardized Aquatic Microcosm

Taub

1997

Ecological Applications

Self Cite

View full text Add to dashboard Cite

Single‐species toxicity tests are inadequate to predict the effects of chemicals in ecological communities although they provide data on the relative toxicity of different chemicals, and on the relative sensitivity of different organisms. Only multispecies studies can provide demonstrations of: (1) indirect trophic‐level effects, including increased abundances of species via increased food supply through reduced competition or reduced predation; (2) compensatory shifts within a trophic level; (3) responses to chemicals within the context of seasonal patterns that modify water chemistry and birth and death rates of populations; (4) chemical transformations by some organisms having effects on other organisms; and (5) persistence of parent and transformation products. Multispecies laboratory studies, such as the Standardized Aquatic Microcosm, have much to offer, with advantages of statistical power, speed of analyses, demonstrated reproducibility among laboratories, and modest expense (compared to field studies). The use of a chemically defined sediment facilitates the potential extraction of parent and transformation products by minimizing the problem of unextractable residues. The absence of fish prevents the potential elimination of zooplankton if fish predation exceeds production. Standardized Aquatic Microcosms also offer a wealth of analytical tools, including rapid statistical analyses, a mathematical model (MICMOD), and artificial intelligence methodologies.

show abstract

Stepwise iterative calibration of a multi-species phytoplankton-zooplankton simulation model using laboratory data

Cited by 32 publications

References 18 publications

Microcosms as Models for Generating and Testing Community Theory

Microcosms as Models for Generating and Testing Community Theory

Fish and Nutrients Interplay Determines Algal Biomass: A Minimal Model

Unique Information Contributed by Multispecies Systems: Examples From the Standardized Aquatic Microcosm

Contact Info

Product

Resources

About