A Fuzzy Logic Model for Zone Delineation in a Preservation Area in Brazil

Abstract

Territorial planning plays a fundamental role in preservation of areas for ecological conservation and environmental management as well as in providing adequate spaces for visitation and research and prioritizing sustainable relationships between man and nature. The present work exhibits a methodological proposal that allows the standardization of territorial classifications in preservation areas. Based on fuzzy logic, the proposed model observes the particularities of a preservation area; hence, the decision generated in the classification of zones represents the work that is currently being developed in the areas of biology, geography, environmental engineering, among other research groups. The modeling combines the evaluation of the data collected in the field (variables: quantitative and qualitative) with vegetation indices obtained from satellite imagery. Combining this information enables each sampling point to be categorized, thereby generating preservation area zones. The results showed that the methodology can distinguish border areas as transition zones, allowing appropriate management to offer detailed information of the study area. The case study, in which the methodology was applied in a preservation area in southern Brazil, showed that the methodology assists in territorial planning, with a clear indication of what actions have been performed and simple data collection.

Multi-attribute decision making and geographic information systems: potential tools for evaluating forest ecosystem services

“…Richter and Behnisch (2019) analyzed a GIS-based AHP technique to select potential green spaces for environmental planning. Tambarussi et al (2019) computed a fuzzy spatial, multi-attribute analysis for selecting land suitability sites for preservation areas.…”

An ornithological inventory in a reforested woodlot in western Paraná state, southern Brazil

“…In her study of ARIE-SH, Kliver (2010) noted the predominance of vegetation in the secondary stage of regeneration and that the original native vegetation could be found in small lowland areas with a predominance of herbaceous substrate in soaked soil. More recently, Tambarussi et al (2019) determined that approximately 74% of ARIE-SH's area could be classified as an Extensive Use Zone where reforestation with exotics resulted in very poor forest regrowth, 22.4% classified as being a Natural Zone, 3.3% classified as being a Recovery Zone, and only 0.1% classified as an Intangible Zone. When contrasted with areas planted with exotic species, areas that were replanted with native species showed more advanced regeneration, with herbaceous and shrub species occupying the understory, a marked presence of terrestrial ferns, and the richest number of tree species -thus presenting an intermediate successional stage (Tambarussi et al, 2019).…”

Ações de extensão e pesquisa realizadas na Área de Relevante Interesse Ecológico Santa Helena, Estado do Paraná, Brasil

“…Com o intuito de detalhar o planejamento territorial da ARIE-SH, Tambarussi et al (2019) fizeram levantamento de dados com relação à concentração de vegetação, diversidade de espécies vegetais e regeneração. Entre março e junho de 2018, os autores amostraram 87 parcelas de 5 x 10 m. Essas variáveis integraram o modelo para elaboração de zoneamento da ARIE-SH baseado em lógica fuzzy, na qual os valores de verdade das variáveis podem ser qualquer número real entre 0 (correspondente ao valor falso) e 1 (correspondente ao valor verdadeiro).…”