Growth Model of <i>Daphnia</i>

Paloheimo, J. E.; Crabtree, S. J.; Taylor, William D.

doi:10.1139/f82-084

Cited by 83 publications

(72 citation statements)

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“…An analysis similar to ours has been performed with another clone of D. pulex by Paloheimo et al (1982). As in our study, they found very good agreement between observed juvenile growth rates and those predicted from metabolic data, but contrary to our results and to those of Lampert (1977a, b), their observed investments in reproduction averaged -50% greater than predicted from physiological data.…”

Section: Resultssupporting

confidence: 77%

“…As in our study, they found very good agreement between observed juvenile growth rates and those predicted from metabolic data, but contrary to our results and to those of Lampert (1977a, b), their observed investments in reproduction averaged -50% greater than predicted from physiological data. Like us, Paloheimo et al (1982) failed to account for diel variation in the metabolic parameters, and they may have measured assimilation during a phase of low adult activity. In any event, their point estimates of assimilation are clearly too low, since they neglected 14C assimilated and subsequently respired before measurement.…”

Section: Resultsmentioning

confidence: 89%

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Measurement of the carbon balance in Daphnia1

Lynch

Weider

Lampert

1986

Limnology & Oceanography

182

153

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Short term measures of assimilation and respiration rates of four species of Daphnia consistently lead to the prediction that the relation between body mass and net carbon intake, F(B), should be close to linear. Yet a more direct estimation of ii(B) based on observed investments in growth and reproduction indicates that the true relationship is nonlinear with a roughly constant value of P maintained beyond the size at maturity. Several experiments demonstrate that our direct measures of F(B) are not greatly influenced by the experimental protocol. Hence, we conclude that short term measures of physiological parameters cannot be extrapolated to estimate growth and reproductive rates of Daphnia. Despite the existence of significant physiological differences between species, our results further reveal a conservative relation between age and the pattern of energy allocation to growth and reproduction in the genus and suggest that the evolution of Daphnia life histories is strongly regulated by one key character-the size at maturity.

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Section: Resultssupporting

confidence: 77%

Section: Resultsmentioning

confidence: 89%

Measurement of the carbon balance in Daphnia1

Lynch

Weider

Lampert

1986

Limnology & Oceanography

182

153

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“…The ingestion rate is proportional the current, so to squared length. Allometric regressions of ingestion rates resulted in a proportionality with length to the power 2.2 [610], 1 [727], 2.4-3 [207], and 2.4 [686] in daphnids. This wide range of values illustrates the limited degree of replicatability of these types of measurements.…”

Section: Feeding Methodsmentioning

confidence: 91%

Dynamic Energy and Mass Budgets in Biological Systems

Kooijman

2000

800

1,202

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second editionDynamic Energy Budget theory unifies the commonalities between organisms as prescribed by the implications of energetics, which link different levels of biological organization (cells, organisms and populations). The theory presents simple mechanistic rules that describe the uptake and use of energy and nutrients and the consequences for physiological organization throughout an organism's life cycle, including the relationships between energetics and aging and the effects of toxicants. In this new edition, the theory is broadened to encompass the fluxes of both energy and mass. All living organisms are now covered in a single quantitative framework, the predictions of which are tested against a wide variety of experimental results at the various levels of biological organization. The theory explains many general observations, such as the body size scaling relationships of certain physiological traits, and provides a theoretical basis for the widely used method of indirect calorimetry. In each case, the theory is developed in elementary mathematical terms, but a more detailed discussion of the methodological aspects of mathematical modelling is also included, making the book suitable for biologists and mathematicians with a broad interest in both fundamental and applied quantitative problems in biology.Bas Kooijman is Professor of Applied Theoretical Biology at the Vrije Universiteit in Amsterdam and is also head of the University's Department of Theoretical Biology. His research focuses on mathematical biology, in particular ecotoxicology which provided the framework for the original version of his Dynamic Energy Budget theory published in 1993 (Dynamic Energy Budgets in Biological Systems -Theory and Applications in Ecotoxicology). From the first edition:"This book is an excellent scientific product that informs and forces contemplation of issues relating to population and community ecology. The author has made a complex subject coherent." Thomas G. Hallam, Bulletin of Mathematical Biology "... a very useful and general tool to select more ecologically sound process equations and parameters in ecological models." Sven Erik Jørgensen, Ecological Modelling "The author has made a significant contribution to the problem of modelling the dynamics of biological populations at the level of the individual by synthesizing this very complicated subject into a relatively short list of general assumptions and putting the energetics of sub-models for vital rates on a solid basis." Jim Cushing, Mathematical Biosciences "The family of idealized models offered in this book is capable of playing a role analogous to that of Lotka-Volterra models in population dynamics ... I am confident that any model(s) capable of occupying this niche will be strongly influenced by the ideas in this book." Roger Nisbet, Ecology 9 LIVING TOGETHER Interaction between organisms: The spectrum from competition to preypredator systems. Evaluation of the consequences of the DEB model for population dynamics, food chains, and communities....

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“…Many investigators have proposed that a size threshold (e.g. Taylor 1985; Ketola and Vuorinen 1989;Lynch 1989) an age threshold (Sink0 and Streifer 1969; Paloheimo et al 1982), or a combination of an age and a size threshold triggers maturation (Tillmann and Lampert 1984). However, analyses of causes and consequences of such thresholds are lacking, although a threshold independent of the environment has been used to model Daphnia life history (e.g.…”

mentioning

confidence: 99%