Asian Journal of Research in Agriculture and Forestry http://journalajraf.com/index.php/AJRAF <p style="text-align: justify;"><strong>Asian Journal of Research in Agriculture and Forestry</strong> <strong>(ISSN: </strong><strong>2581-7418)</strong> aims to publish high quality papers (<a href="/index.php/AJRAF/general-guideline-for-authors">Click here for Types of paper</a>) on all aspects of Agricultural and Forestry research. This journal facilitates the research and wishes to publish papers as long as they are technically correct, scientifically motivated. The journal also encourages the submission of useful reports of negative results. This is a quality controlled, OPEN peer reviewed, open access INTERNATIONAL journal.</p> SCIENCEDOMAIN international en-US Asian Journal of Research in Agriculture and Forestry 2581-7418 Comparison of Logistic Regression and Geomod Approaches to Forest Change Modeling in the Period of 1988 – 2025 http://journalajraf.com/index.php/AJRAF/article/view/30066 <p>Spatial modelling of land use change is a technique for understanding changes in terms of the location and amount. In this study, logistic regression and Geomod approaches were used for modelling forest change in Gorgan area in Northern Iran in the time period of 1988-2007. To do this, at first, remotely sensed imagery data of the years 1988, 1998 and 2007 were used to produce land use maps. Land use maps accuracy assessments were achieved using Error matrix method and then the maps were used to implement change detection process in two time periods of 1988-1998 and 1998-2007. Results indicated a reduction in forest areas during the mentioned time period. Next, the independent variables were extracted in order to land use change modeling. The Results of the models implementation showed the ability of both models for forest change modeling in this region. Also, the models were used to predict the future condition of forest area in the years 2016 and 2025. The results revealed that the forest area would be associated with a reduction in the future. Comparison of the results of the models using kappa indices showed the successful implementation of both models for forest change modelling in this region. The results of this research reveal the need for appropriate applications of the proper plans to control land use change in order to preserve the environment and ecological balance of the area. Therefore, careful planning can reduce the land use change and its impacts in the future in this region.</p> Somayeh Galdavi Marjan Mohammadzadeh Abdolrassoul Salman Mahiny Ali Najafi Nejad ##submission.copyrightStatement## 2019-11-07 2019-11-07 1 15 10.9734/ajraf/2019/v4i430066