Article (Scientific journals)
Applications of optimum control theory to agroecosystem modelling
SEPPELT, Ralf
1999In Ecological Modelling, 121, p. 161 - 183
Peer Reviewed verified by ORBi
 

Files


Full Text
Seppelt - 1999 - Applications of optimum control theory to agroecos.pdf
Publisher postprint (378.03 kB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Abstract :
[en] This contribution proposes an application of ecological models in the framework of optimum control theory. A typical example of a simulation model, which describes processes of an agricultural ecosystem, is used to derive optimum management strategies: fertilising schemes and crop rotations. Several assessment scenarios of production schemes are compared with the tool of optimisation. In this context mathematical properties of ecological models are discussed. Ecological models are heterogeneous in mathematical structure and incorporate different characteristic time scales. The numerical algorithms of optimum control have to deal with these problems. The proposed simulation model for crop growth, nitrogen dynamics in soil and a pest population is based on data series from the collaborative research project 179 ‘water- and matter-dynamics in agroecosystems’. The model is applied to the environmental conditions of one investigation site of the project: the ‘Ohebach’ catchment in Lower Saxonia (‘Niedersachsen’), Germany
Research center :
Luxembourg Centre for Socio-Environmental Systems (LCSES)
Disciplines :
Environmental sciences & ecology
Agriculture & agronomy
Mathematics
Author, co-author :
SEPPELT, Ralf  ;  University of Luxembourg > Luxembourg Centre for Socio-Environmental Systems (LCSES)
External co-authors :
yes
Language :
English
Title :
Applications of optimum control theory to agroecosystem modelling
Publication date :
1999
Journal title :
Ecological Modelling
ISSN :
0304-3800
eISSN :
1872-7026
Volume :
121
Pages :
161 - 183
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 09 November 2025

Statistics


Number of views
5 (1 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
20
Scopus citations®
without self-citations
13
OpenCitations
 
17
OpenAlex citations
 
21

Bibliography


Similar publications



Contact ORBilu