Decision Support Systems For Forest Management In Mexico

Author(s):  
Rafael Moreno-Sánchez ◽  
Juan Manuel Torres-Rojo

In the last 25 years there have been several efforts to create Decision Support Systems (DSS) for management of the forests in Mexico. Few references exists that document these experiences and that can assist in understanding their genesis, evolution, successes, shortcomings, or failures, as well as the factors that have led to these outcomes. This chapter fills this gap by presenting an overview of the DSS that have been created since the mid 1980’s. The characteristics of the Mexican forest ecosystems and the complex web of interactions and co-evolution of the contexts that frame the forestry activities in Mexico have influenced the characteristics, evolution, and current state of the art of the DSS for the management of the forest in the country. Similar characteristics and contexts are commonly found in developing countries around the world. Hence, the experiences, lessons, and recommendations for future developments presented in this chapter can be of value beyond the specific conditions of the Mexican forestry sector.

1989 ◽  
Vol 89 (7) ◽  
pp. 21-26 ◽  
Author(s):  
Ming‐te Lu ◽  
Ching‐cha Hsieh ◽  
Chien‐chun Pan

Author(s):  
Keith M. Reynolds ◽  
Mark Twery ◽  
Manfred J. Lexer ◽  
Harald Vacik ◽  
Duncan Ray ◽  
...  

2015 ◽  
Author(s):  
Ulrik D. Nielsen ◽  
Toshio Iseki

The paper presents a practical and simple approach for making vessel response predictions. Features of the procedure include a) predictions which are scaled so to better agree with corresponding true, future values to be measured at the time the predictions apply at; and b) predictions that are assigned an uncertainty measure to reflect a level of confidence. The approach is tested with full-scale data and the obtained results/predictions agree well with measured values. Potentially, the procedure is therefore very useful in future developments of general decision support systems.


2019 ◽  
Vol 290 ◽  
pp. 121814 ◽  
Author(s):  
Giorgio Mannina ◽  
Taise Ferreira Rebouças ◽  
Alida Cosenza ◽  
Miquel Sànchez-Marrè ◽  
Karina Gibert

2013 ◽  
Vol 22 (2) ◽  
pp. 263 ◽  
Author(s):  
T. Packalen ◽  
A. Marques ◽  
J. Rasinmäki ◽  
C. Rosset ◽  
F. Mounir ◽  
...  

2015 ◽  
Vol 61 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Ján Tuček ◽  
Róbert Sedmák ◽  
Andrea Majlingová ◽  
Maroš Sedliak ◽  
Susete Marques

Abstract Project COST Action FP 0804 - FORSYS summarizes European experiences in developing and applying decision support systems for forest management. This paper introduces FORSYS methodology for the classification of current forest management problems and for the description of existing decision support systems. The paper identifies the general forestry planning problems that need to be solved in Slovakia, lists the DSS tools available in Slovakia and evaluate their ability for addressing the identified problems. Finally, the research needs and gaps in this field were identified. A comparison of the situation regarding decision support in Slovakia and both in Europe and neighbouring countries (Austria, Hungary) is introduced in order to justify the identified needs. The paper is focused on the overview of models, methods and knowledge management techniques which are available in Slovakia now. We found out that the Slovak decision support research follows the state in Europe with a significant time delay and a lack of adequate instruments for addressing the contemporary planning problems exists. Consequently, there is a strong need for the development and application of computer-based tools to support decision-making problems in forest management.


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