NDLI: Optimising the management of maize — Grevillea robusta fields in Kenya

Content Provider	Springer Nature Link
Author	Muchiri, Mbae N. Pukkala, Timo Miina, Jari
Copyright Year	2002
Abstract	The study optimised the management of a Grevillea robusta (A. Cunn.) stand growing in the central highlands of Kenya. The optimisations were conducted separately for even-aged and uneven-aged management system of trees. The management was also optimised with the requirement that maize production under the tree cover must be profitable every year. Technically, the optimisation problems were solved by linking a simulation program with the non-linear optimisation algorithm of Hooke and Jeeves. The simulation program calculated the tree growth, volumes of harvested trees, and maize yields with a given set of management parameters (decision variables). The maize yield predictions and simulated timber yields were converted into gross incomes of which the production costs were subtracted. In even-aged management the objective variable was the soil expectation value with 5% discounting rate. In uneven-aged management the mean annual net income was maximised. The optimal solutions indicated that with both management systems it is optimal to concentrate on wood production. The optimal stand densities were so high that profitable maize production was not possible under the tree cover. The mean annual wood production of the optimal management schedule was more than 50m3 ha−1. Forcing profitable maize production in the solution decreased the wood production by 57% (even-aged forestry) or 27% (uneven-aged forestry) and net income by 45% (even-aged forestry) or 24% (uneven-aged forestry).
Starting Page	13
Ending Page	25
Page Count	13
File Format	PDF
ISSN	01674366
Journal	Agroforestry Systems
Volume Number	56
Issue Number	1
e-ISSN	15729680
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2002-01-01
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Agriculture Forestry
Content Type	Text
Resource Type	Article
Subject	Forestry Agronomy and Crop Science

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