FUZZY LOGIC MODELING IN PREDICTIVE ECOLOGY
Bouharati Saddek, Daoud Harzallah, F. Allag, Mustapha Bounechada · 2012
In terms of ecology forecast effects of climate change, the purpose of our study is to develop a predictive model of growth and adaptation of species in environmental and bioclimatic conditions. The impact of climate change on forests is the result of combined effects in magnitude and frequency of these phenomena. Like the data involved in the growth process of the species occur in an uncertain environment due to their complexity, it becomes necessary to have a suitable methodology for the analysis of these variables. The basic principles of fuzzy logic those are perfectly suited to this process. As input variables, we consider the temperature, rainfall, humidity, soil type, plant species concerned. The result output variable is the adaptability of the species expressed by the growth rate or extinction. As a conclusion, we prevent the possible strategies for adaptation, with or without shifting areas of cultivation and forestry.