1. General Model Information
Name: Grapewine growth model, Vimo
Acronym: VIMO
Main medium: terrestrial
Main subject: biogeochemistry, agriculture
Organization level: organism, population
Type of model: ordinary differential equations
Main application:
Keywords: grape, crop, growth, photosynthesis, degree-day, nitrogen allocation
Contact:
Dr. A. P. Gutierrez
University of California, Berkeley
Division of Biological Control
Albany, CA 94706
USA
Phone: +1 415-642-9186
Fax :
email: carpdiem@nature.berkeley.edu
Author(s):
Wermelinger, B., Baumgartner, J., and A. P. Gutierrez
Abstract:
VIMO is a dynamic crop model for dry matter (DM), and nitrogen (N) assimilation
and allocation basing on the metabolic-pool model.
Photosynthesis and N uptake from the soil are functional response models and
are sink-driven. Growth occurs per degree-day above developmental threshold of
grapewine. The plant subunits, i.e., the annual populations of fruits, leaves,
shoots and roots developing on a perennial frame are age-structured and have
distributed developmental times. Their dynamics simulated as a time-invariant
distributed delay process with attrition. The seasonal N dynamics is the net
result of the processes of new tissue formation with high N concentrations and
the degree-day-driven export of N from ageing parts to reserves.
Model purpose
The model forms a basis for analysis in the vineyard ecosystem. It is designed
as a research tool for explorative studies in multitrophic systems and can be
connected to other models such as insect herbivore models.
Source of the Abstract:
Joergensen S.E., B. Halling-Soerensen and S.N Nielsen (Edts.) 1996: Handbook
of Environmental and Ecological Modelling. CRC Press Boca Raton et al. 672 pp.
II. Technical Information
II.1 Executables:
Operating System(s): DOS
II.2 Source-code:
Programming Language(s): Turbo Pascal
II.3 Manuals:
II.4 Data:
III. Mathematical Information
III.1 Mathematics
III.2 Quantities
State variables: fruits, leaves, shoots, roots, perennial frame, reserves.
cing functions (independent variable: age of individual): photosynthetic efficiency of leaves, area/DM ratio of leaves, DM and N demand of grape berries. Daily driving variables: solar radiation, minimum and maximum temperature.
Important
III.2.1 Input
Daily driving variables: solar radiation, minimum and maximum temperature.
Important parameters: longevity of annual plant subunits, potential leaf growth rate, N translocation rates.
Necessary input: initial condition of grapevine in terms of subunit DM and N content, variety and training specific plant characteristics, soil N. (See state variables)
III.2.2 Output
(See state variables)
IV. References
Wermelinger, B., Baumgartner, J., and Gutierrez, A.P., 1991. A demographic model of assimilation and allocation of carbon and nitrogen in grapevines. Ecol. Modelling 53: 1-26.
Wermelinger, B., and Baumgertner, J., 1990. Application of a demographic crop growth model: an explorative study on the influence of nitrogen on grapevine performance. Acta Hort., 276: 113-121.
Wermelinger, B., 1991. Nitrogen dynamics in grapevine: physiology and modelling. In: Proceedings of the Inernational Symposium on Nitrogen in Grapes and Wine, Seattle WA, USA (J.M. Rantz, Ed.). American Society for Enology and Viticulture, Davis CA, USA, pp. 23-31.
Wermelinger, B. Candolfi, M.P., and Baumgartner, J., 1992. A model of the European red mite (Acari, Tetranychidae) population dynamics and its linkage to grapevine growth and development. J. Appl. Entomol., 114: 155-166.
V. Further information in the World-Wide-Web
VI. Additional remarks
Last review of this document by: T. Gabele : 28. 09. 1997 -
Status of the document:
last modified by
Tobias Gabele Wed Aug 21 21:44:52 CEST 2002