Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-26T18:57:27.890Z Has data issue: false hasContentIssue false

Testing physiologically-based resource allocation rules in laboratory experiments with Daphnia magna Straus.

Published online by Cambridge University Press:  15 February 2009

A. J.A. Nogueira
Affiliation:
CESAM, Departamento de Biologia, Universidade de Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal.
D. J. Baird
Affiliation:
NWRI / Environment Canada & Canadian Rivers Institute, Department of Biology University of New Brunswick, 10 Bailey Drive, P.O. Box 45111, Fredericton, New Brunswick, Canada, E3B 6E1.
A. M.V.M. Soares
Affiliation:
CESAM, Departamento de Biologia, Universidade de Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal.
Get access

Abstract

The rules governing the allocation of available resources to varying physiological processes are evaluated in three physiologically-based models of individual Daphnia. In laboratory experiments using a single clone, subjected to varying regimes of food deprivation, growth was found to vary inversely with food level, ceasing in the absence of food, implying that growth allocation is derived directly from food. Reproductive investment was reduced under food deprivation, ceasing at low food levels. By exposing juvenile and adult daphnia to varying food deprivation regimens during different periods within their intermoult interval, it was shown that instar durations vary as a function of body size and food availability independent of the age of the animal. For the first time, the role of variable instar duration, which critically influences physiological processes such as growth, moulting and reproduction in adult females, that has been neglected by existing Daphnia models, is explicitly incorporated in a physiological allocation model. The consequent model provides a simplified framework for modelling the consequences of food deprivation in cladocerans which has important application in population modelling and environmental risk assessment.

Type
Research Article
Copyright
© Université Paul Sabatier, 2004

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)