TY  - JOUR
A1  - Mooij, Wolf M.
A1  - Brederveld, Robert J.
A1  - de Klein, Jeroen J. M.
A1  - DeAngelis, Don L.
A1  - Downing, Andrea S.
A1  - Faber, Michiel
A1  - Gerla, Daan J.
A1  - Hipsey, Matthew R.
A1  - Janse, Jan H.
A1  - Janssen, Annette B. G.
A1  - Jeuken, Michel
A1  - Kooi, Bob W.
A1  - Lischke, Betty
A1  - Petzoldt, Thomas
A1  - Postma, Leo
A1  - Schep, Sebastiaan A.
A1  - Scholten, Huub
A1  - Teurlincx, Sven
A1  - Thiange, Christophe
A1  - Trolle, Dennis
A1  - van Dam, Anne A.
A1  - van Gerven, Luuk P. A.
A1  - van Nes, Egbert H.
A1  - Kuiper, Jan J.
T1  - Serving many at once: How a database approach can create unity in dynamical ecosystem modelling
JF  - Environmental modelling & software with environment data news
N2  - Simulation modelling in ecology is a field that is becoming increasingly compartmentalized. Here we propose a Database Approach To Modelling (DATM) to create unity in dynamical ecosystem modelling with differential equations. In this approach the storage of ecological knowledge is independent of the language and platform in which the model will be run. To create an instance of the model, the information in the database is translated and augmented with the language and platform specifics. This process is automated so that a new instance can be created each time the database is updated. We describe the approach using the simple Lotka-Volterra model and the complex ecosystem model for shallow lakes PCLake, which we automatically implement in the frameworks OSIRIS, GRIND for MATLAB, ACSL, R, DUFLOW and DELWAQ. A clear advantage of working in a database is the overview it provides. The simplicity of the approach only adds to its elegance. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/).
KW  - Modelling framework
KW  - Programming language
KW  - Differential equation
KW  - Community-based modelling
KW  - Database approach to modelling
KW  - DATM
Y1  - 2014
U6  - https://doi.org/10.1016/j.envsoft.2014.04.004
SN  - 1364-8152
SN  - 1873-6726
VL  - 61
SP  - 266
EP  - 273
PB  - Elsevier
CY  - Oxford
ER  -