FIRE MANAGEMENT: MULTIPURPOSE TECHNICAL CADASTRES, CONSTRUCTIVIST MULTICRITERIA DECISION AID APPROACH, AND GEOGRAPHIC INFORMATION SYSTEMS. CASE STUDY OF CHAPADA DOS GUIMARÃES, STATE OF MATO GROSSO, BRAZIL

Abstract

The discussion about forest fires has been increasing significantly in recent decades. Due to nature of land occupation, that was quickly, loosely, and disorderly, without preventing impacts to the environment, coupled with a history of political motivations, and actions within a geopolitical framework, the result is a land without adequate care, in especial related with fire. On the other side, actions to manage this situation in relation to fire have led to create a State Committee for Management of Fire. However, political interference, different point of views of this problem has conducted to poor results, due mainly lack of land knowledge and to interest conflicts among its members. This research was aimed at applying a Multicriteria Decision Making Support Model for the Management of Fire in Chapada dos Guimarães Environmental Protection Area-State of Mato Grosso, Brazil. Much of the situations related to fire management, involving the selection of alternatives, events or strategies of actions, especially preventive might be the main focus. Therefore, in the organizational context, are increasingly attracting more concern for fire management. The actors of the State Committee for Management of Fire usually have conflicting views and different value judgments. A Methodology Multicriteria Decision Support together with Constructivist approach appears as an option for these differences are identified, understood and integrated. The instrument o intervention used was the MCDA-C methodology linked to the Multipurpose Technical Cadastre and the Geographic Information System. This coupled methodology allowed the identification, organization, measurement, and integration of different points of view materialized as criteria. The result of the constructed model allows the decision makers of the Fire Management State Committee to visualize the picture and to establish action priorities in the criteria identified as relevant for the success of the organization. The figure that presented a higher susceptibility by area of interest were: Area 1- Anthropic Aspect (scenario 5); Area 2 - Physical Environment (scenario 6); Area 3 - Biotic Environment (scenario 7). In the general scoring, the most susceptible scenario is number 9.