Santiago Pereira, Antonio Prieto, Rafael Calama, Luis Diaz-Balteiro. (2015). Optimal management in Pinus pinea L. stands combining silvicultural schedules for timber and cone production. Silva Fennica vol. 49 no. 3 article id 1226. https://doi.org/10.14214/sf.1226

Keywords: forest management; goal programming; non-timber forest product

Highlights: Three management scenarios are proposed to integrate timber and pine nuts; Different silvicultural regimes for each output are addressed jointly; Goal programming is used in order to solve forest management models; In the mixed scenario, the area allocated to pine nuts should be notably greater.

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This work aimed to tackle a timber harvest scheduling problem by simultaneously integrating into the analysis two forestry products derived from the same species: the timber and the pine nut. For this purpose, three management scenarios were proposed: two in which each of the productions is maximised separately, and a third mixed where, in each management unit, the product to which the silvicultural effort should be devoted is decided. After defining a set of objectives, and optimising the rotation length, a multi-criteria model based on goal programming was considered since no feasible solutions have been obtained when employing linear programming. The results in our case study show how the feasible solutions reached can be more attractive for the manager. Specifically, the area to be devoted to timber and cone/pine-nut production was computed in a scenario where the optimal silviculture (oriented towards timber or pine nuts) in each stand was selected, and it was concluded that the area allocated to pine nuts should be notably greater. This situation is the opposite of the current management.

Pereira, Technical University of Madrid, ETS Ingenieros de Montes, Ciudad Universitaria s/n, 28040 Madrid, Spain E-mail: spereirasaez@gmail.com
Prieto, Technical University of Madrid, ETS Ingenieros de Montes, Ciudad Universitaria s/n, 28040 Madrid, Spain E-mail: antonio.prieto@upm.es
Calama, Dpto. Selvicultura y Gestión Forestal, INIA-CIFOR, Ctra. A Coruña km 7.5, 28040 Madrid, Spain E-mail: rcalama@inia.es
Diaz-Balteiro, Technical University of Madrid, ETS Ingenieros de Montes, Ciudad Universitaria s/n, 28040 Madrid, Spain E-mail: luis.diaz.balteiro@upm.es

article id 103, category Research article

Luis Diaz-Balteiro, Roberto Voces, Carlos Romero. (2011). Making sustainability rankings using compromise programming. An application to European paper industry. Silva Fennica vol. 45 no. 4 article id 103. https://doi.org/10.14214/sf.103

Keywords: indicators; compromise programming; sustainability; paper industry

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This paper characterizes the sustainability of the European paper industry. To undertake this task the sustainability of each country is defined by using fourteen indicators of a diverse nature (economic, environmental and social). These indicators are aggregated into a composite or synthetic index with the help of a compromise programming model. In order to associate different weights with each indicator, a survey among international experts has been carried out. In this way, a ranking of seventeen European countries analysed in terms of the sustainability of the European paper industry has been established, where Finland is the most sustainable paper industry in Europe except when the most balanced solution is chosen. Also, the results are robust when different preferential weights are attached. Finally, this methodology can be applied at a more disaggregated level and other indicators can be introduced.

Diaz-Balteiro, Research Group “Economics for a Sustainable Environment”, Technical University of Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain E-mail: luis.diaz.balteiro@upm.es
Voces, Research Group “Economics for a Sustainable Environment”, Technical University of Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain E-mail: rv@nn.es
Romero, Research Group “Economics for a Sustainable Environment”, Technical University of Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain E-mail: cr@nn.es

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