Synonyms
Definition
A process-based model is the mathematical (and normally computer-based) representation of one or several processes characterizing the functioning of well-delimited biological systems of fundamental or economical interest. Examples include models of biochemical pathways or population dynamics models (single species or mixed). Usually, such models consist of a set of ordinary or partial differential equations that define the essence of each process (temporal patterns of key parameters), as well as their inputs and outputs, as a function of first principles (generic PBM) or else empirical knowledge (descriptive PBM). Outputs of one process can serve as input to other processes. Such a modeling paradigm was heavily employed in the case of crop modeling: A crop model describes the growth and development (phenology from germination to harvest) of a crop, at the level of the field, the canopy, or the plant (Goudriaan and van Laar 1994). In doing so,...
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Goudriaan J, van Laar HH (1994) Modelling potential crop growth processes. Kluwer Academic, Dordrecht, 239 p
Yan HP, Kang MZ, de Reffye P, Dingkuhn M (2004) A dynamic, architectural plant model simulating resource-dependent growth. Ann Bot 93(5):591–602
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media, LLC
About this entry
Cite this entry
Buck-Sorlin, G. (2013). Process-based Model. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_1545
Download citation
DOI: https://doi.org/10.1007/978-1-4419-9863-7_1545
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-9862-0
Online ISBN: 978-1-4419-9863-7
eBook Packages: Biomedical and Life SciencesReference Module Biomedical and Life Sciences