DEBtox theory and matrix population models as helpful tools in understanding the interaction between toxic cyanobacteria and zooplankton

DOI10.1016/j.jtbi.2008.07.029zbMath1405.92277OpenAlexW1974229887WikidataQ38909153 ScholiaQ38909153MaRDI QIDQ1623935

Marie Laure Delignette-Muller, Elise Billoir, Aloysio da Silva Ferrão-Filho, Sandrine Charles

Publication date: 15 November 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2008.07.029

zbMATH Keywords

Bayesian inferenceallometrymatrix population model\textit{Microcystis aeruginosa}\textit{Moina micrura}DEBtox models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02) Ecology (92D40)

Uses Software

• R
• WinBUGS

Cites Work

• Statistical cautions when estimating debtox parameters
• SOME FURTHER NOTES ON THE USE OF MATRICES IN POPULATION MATHEMATICS
• ON THE USE OF MATRICES IN CERTAIN POPULATION MATHEMATICS
• Unnamed Item