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78.2%, and Pradhan et al. (2010) used nine factors to determine the AUC value as 97%.
In this study, alternative routes for a forest area in need of a forest road were determined through ArcGIS Cost Path analysis, and the LSM was obtained through LR and RF methods (Figures 7). Other studies also use ArcGIS Cost Path analysis for alternative route detection (Sarı and Sen, 2017; Liampas et al. 2019). The difference between this and other studies is that it was conducted with the intention of determining route options that meet the need for roads in forest areas. Forest road alternative routes have been a subject of interest both nationally and internationally. Studies carried out with a similar approach, but using different methods and software, are as follows: Akay and Sessions (2005) determined GIS-supported three-dimensional routes by using TRACER software; Laschi et al. (2016) used the AHP approach for alternative road planning, but did not consider the landslide criterion used for this study; Bugday and Akay (2019) evaluated the landslide criterion for forest roads in landslide areas but did not determine any alternative routes, and Kadi et al. (2019) planned routes using MATLAB software and the AHP approach.
In order to continue with uninterrupted forestry works throughout the year, it is important to make detailed road plans from the start and evaluate the advantages and disadvantages of the areas in terms of sustainability. Modern methods of determining alternative routes are vital in particularly sensitive areas. Plan and decision makers can make better decisions using detailed data obtained as a result of sensitive forestry studies. The length of the routes determined by this this study are calculated to be approximately 2730 m, using the LR method, and 2850 m, using the RF method. More detailed and precise planning is needed in order to keep environmental damage caused by forest road construction to a minimum. Further studies that use multicriteria planning approaches and GIS software will be beneficial to forestry and forest management. It is clear that diversifying multifactor analyses in future studies, and making the results available to practitioners, planners, and decision makers, is important in terms of maximizing ecosystem health and minimizing human impact.
I would like to thank the Çankırı Forest Management Directorate for providing the current tree species distribution and existing forest road data in the study area.
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