Abstract
In the present article, we will describe some extensions of an agroforestry model that has been proposed and computationally implemented in [7]. Our generalizations consist of the inclusion of two additional species of tree, one culture, and a declaration of regeneration tours as variables definable by us as a parameter and the weight allocation by rentability of the treeless soil utilization as well as an exhaustive exploration of the different soil utilization scenarios in order to obtain the one who gives the best economic performance.
Highlights
The problem of forest regeneration in lands whose land use is shared between forest preservation, agri culture, or cattle grazing has been one of the great challenges of forest preservation
We are inspired by the work carried out by [7] where the problem of economic and sustainable optimization of pastures in the Andalusian region in southern Spain is studied. He proposes a model of eco nomic and agroforestry optimization where land use for grazing, agriculture, and sowing of oaks and cork oaks is combined
Based on the initial distribution of surfaces as well as nonnegativity restrictions of the variables involved, a MATLAB linprog toolbox for linear optimization routine is called that produces the decisions that will be made at each time step, and this information feeds the dynamic model that describes the behavior over time of the system from the appli cation of the decisions calculated by the linear opti mizer mentioned above
Summary
The problem of forest regeneration in lands whose land use is shared between forest preservation, agri culture, or cattle grazing has been one of the great challenges of forest preservation. We are inspired by the work carried out by [7] where the problem of economic and sustainable optimization of pastures in the Andalusian region in southern Spain is studied In this article, he proposes a model of eco nomic and agroforestry optimization where land use for grazing, agriculture, and sowing of oaks and cork oaks is combined. This exhaustive test of the possible ini tial distributions can be costly in terms of calculation time, which we try to alleviate by means of a random sampling of the space of possible initial distributions of bare soil This model expands and refines [5] by allowing a more flexible framework for land use re placeability and tree species selection. That is what our contribution in this article consists of, which will be described of this work
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