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Titolo:
Effect of decision variable definition and data aggregation on a search process applied to a single-tree simulator
Autore:
Wikstrom, P;
Indirizzi:
Swedish Univ Agr Sci, Dept Forest Resource Management & Geomat, SE-90183 Umea, Sweden Swedish Univ Agr Sci Umea Sweden SE-90183 Geomat, SE-90183 Umea, Sweden
Titolo Testata:
CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE
fascicolo: 6, volume: 31, anno: 2001,
pagine: 1057 - 1066
SICI:
0045-5067(200106)31:6<1057:EODVDA>2.0.ZU;2-D
Fonte:
ISI
Lingua:
ENG
Soggetto:
UNEVEN-AGED STAND; PICEA-ABIES; MANAGEMENT; DISTRIBUTIONS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
27
Recensione:
Indirizzi per estratti:
Indirizzo: Wikstrom, P Swedish Univ Agr Sci, Dept Forest Resource Management & Geomat, SE-90183 Umea, Sweden Swedish Univ Agr Sci Umea Sweden SE-90183 90183 Umea, Sweden
Citazione:
P. Wikstrom, "Effect of decision variable definition and data aggregation on a search process applied to a single-tree simulator", CAN J FORES, 31(6), 2001, pp. 1057-1066

Abstract

This paper focuses on how computer execution times and net present value (NPV) are affected by different groupings of tree-selection harvest controls, different procedures to determine harvest timing, and tree data aggregation. The problems related to stand management are viewed as a hierarchy, where the main problem is determining harvest periods and the subordinate problem is determining what trees to cut in a given set of harvest periods. Thesolution technique is a derivative-free search process, and the objective is to maximize the NPV of harvest revenues for a stand over a given planning horizon. The tree-selection harvest controls are based on diameter and species groupings. The procedure to determine harvest timing is based on Tabusearch and fixed cutting cycles, respectively. Sensitivity analysis is performed for a selection of stands in southern Sweden, where each stand is represented by a set of inventoried plots. Both even-aged and uneven-aged management are considered. Solutions improved with the number of decision variables. The Tabu search procedure proved very efficient at determining harvest periods for the even-aged problems. For the uneven-aged problems, fixed cutting cycles approximated the harvest timing problem, but at considerablyshorter execution times. It is suggested that aggregated data be used for determining harvest timing, after which, using the original nonaggregated data, the tree-selection problem for a given set of harvest periods can be resolved.

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Documento generato il 15/07/20 alle ore 20:55:28