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Open Access research with a European policy impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the European Policies Research Centre (EPRC).

EPRC is a leading institute in Europe for comparative research on public policy, with a particular focus on regional development policies. Spanning 30 European countries, EPRC research programmes have a strong emphasis on applied research and knowledge exchange, including the provision of policy advice to EU institutions and national and sub-national government authorities throughout Europe.

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The physiological ecology of Daphnia II : a dynamic model of growth and reproduction

Gurney, William and McCauley, E. and Nisbet, R.M. and Murdoch, W.W. (1990) The physiological ecology of Daphnia II : a dynamic model of growth and reproduction. Ecology, 71 (2). pp. 716-732. ISSN 0012-9658

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Abstract

In the preceding paper (McCauley et al. 1990) we developed a new model for the growth and fecundity of Daphnia based on a quantitative review of short-term physiological rates and energy allocation for D. pulex. In this paper, we formulate a fully dynamic version of this model and test its predictions against experimentally observed growth and fecundity schedules obtained independently under a variety of different experimental protocols. Preliminary testing falsifies two simplifying hypotheses made in our original development and we propose modifications of these hypotheses. With the aid of these modifications our model yields predictions that are in good agreement with a large body of data on the growth and fecundity schedules of individual D. pulex. Although our model contains 18 parameters, the values of the great majority are independently determined from short-term physiological measurements, leaving only two as freely adjustable @'fitting parameters.@' The target dataset, which contains four complete growth curves (@?80 observations) and 32 growth or fecundity characterizations, thus provides a stringent test of the model, and our success in matching our predictions to it provides strong evidence that measurements of short-term physiological rates can be used successfully as predictors of long-term growth and fecundity.