Ann. Limnol. - Int. J. Lim.
Volume 50, Number 1, 2014
|Page(s)||9 - 18|
|Published online||10 January 2014|
How do interactive maternal traits and environmental factors determine offspring size in Daphnia magna?
1 Institute for Environmental Research, RWTH Aachen University, Worringerweg 1, 52072 Aachen, Germany
2 Department of Biology, Brumbaugh Academic Center, Juniata College Huntingdon, Pennsylvania 16652, USA
3 Research Institute for Ecosystem Analysis and Assessment (gaiac), Kackertstrasse 10, 52072 Aachen, Germany
* Corresponding author: firstname.lastname@example.org
Accepted: 5 November 2013
In this study, we investigated variation in offspring size (OS) of Daphnia magna in relation to multiple maternal traits and environmental variables. Data originated from laboratory experiments conducted at different feeding scenarios. The mother daphnids had different life-history traits and were reared under various feeding and density conditions. OS showed linear relationships with maternal traits, varying positively with maternal body size, age and brood number, and negatively with brood size and with the amount of ingested carbon. OS increased exponentially with crowding. Using stepwise multiple regression analysis, we developed an empirical model for the OS variation with the relevant maternal and environmental variables. Density dependence was considered by multiplying the resulting model by a density-effect function. We found that the ingested carbon and the maternal body size were the strongest determinants of the observed variation in the OS, whereas the brood size had the least impact on OS. Additionally, the brood number had no significant effect in determining the variability in the OS. The validity of the multivariate model was tested against an independent dataset. The model accurately predicted the OS despite several genetic and environmental differences compared with the data used for parameterization.
Key words: Daphnia magna / offspring size / maternal traits / maternal environment / modelling
© EDP Sciences, 2014
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.