Volume 7, Issue 5, September 2019, Page: 185-190
Forested Landscapes Modelling Based on Tensors and Scenarios
Michel Godron, Department Laddys, Faculty of Geography, University Paris-Diderot, Paris, France
Received: Jun. 27, 2019;       Accepted: Sep. 4, 2019;       Published: Sep. 19, 2019
DOI: 10.11648/j.ajaf.20190705.14      View  35      Downloads  8
Abstract
A forest is an object so complex that it can never be known in all its details. But it is possible to get a "simplified picture" of the forest functioning, i.e. it is possible to build a "model". For this purpose, a forest may be considered as a landscape, the elements of which are the model basis; each element of a forested landscape is then the forest parts occupied by the same tree species. The model is built with the knowledge of the forester, and not on a priori biological and economical equations. The forester builds directly spread sheets matrixes for each tree species by writing what he knows about the evolution of each of them. Each line of the spread sheet reports the evolution along time of a "parameter" such as trees height, average diameter, number of trees by hectare, total volume by hectare, management cost, economical products value, etc. In our case each element of forest landscape will give its own matrices, and a set of matrices is called "tensor" by mathematicians. Three types of tensors are proposed, in order to improve forest management by building scenarios. The main interest of this model is to help foresters to see more precisely the consequences of their management decisions.
Keywords
Model, Forest Silviculture, Tensors
To cite this article
Michel Godron, Forested Landscapes Modelling Based on Tensors and Scenarios, American Journal of Agriculture and Forestry. Vol. 7, No. 5, 2019, pp. 185-190. doi: 10.11648/j.ajaf.20190705.14
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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