Evaluation of pre‑ and post‑fre food risk by analytical hierarchy process method: a case study for the 2021 wildfres in Bodrum, Turkey

Abstract

Wildfres are regarded as one of the devastating natural disturbances to natural ecosystems, and threatening the lives of many species. In July 2021, a wildfre took place in the Mediterranean region of Turkey in multiple areas. In Bodrum, a town with high touristic value and attraction, approximately 17,600 hectares of forest have been afected by the wildfre. In this study, the fre-afected areas were determined using an analytical hierarchy process (AHP) and geographical information system (GIS). Rainfall, slope, distance from the stream, pre- and post-fre land use and land cover, elevation, curvature, topographic wetness index, and lithology were selected as the governing variables for the AHP model. The contribution of each variable was determined from the literature. Based on the model, it was found that the area with a very high food risk increased from 8.6 to 18.4%, implying food risk in a particular region doubled following the wildfre. Immediately after the forest fre, foods occurred in Mazikoy in the region and its surroundings. The model accuracy was tested by using randomly selected 61 points in and around the fooded area. The model accuracy was quantifed by the receiver operating characteristic (ROC) curves method. Pre- and post-fre areas under curve (AUC) values were found 0.925 and 0.933, respectively, which implies that the prediction ability of the model is acceptably accurate. The study revealed that the model could quantify the increased food risk for vulnerable areas after a forest fre. Such knowledge may aid local authorities in determining the priorities of the precautions that need to be taken after a forest fre.