Volume 20, Issue 57 (6-2020)                   jgs 2020, 20(57): 265-280 | Back to browse issues page

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shiravand H, Khaledi S, Behzadi S, sanjabi H A. Monitoring and Assessing the Changes in the Coverage and Decline of Oak Forests in Lorestan Province using Satellite Images and BFAST Model. jgs 2020; 20 (57) :265-280
URL: http://jgs.khu.ac.ir/article-1-3340-en.html
1- Faculty of Earth Sciences, Shahid Beheshti University , hengamehshiravand@yahoo.com
2- Faculty of Earth Sciences, Shahid Beheshti University
3- Faculty of Civil Engineering, Shahid Rajaee Teacher Training University
4- Natural Resources Office of Lorestan Province
Abstract:   (4977 Views)
   Decline phenomenon is one of the most important reasons for the destruction and mortality of oak trees in Zagros forests due to the wide variety and diversity of the topography of its determination through track and field operations is not readily possible. Changes in an ecosystem are often gradual changes, but sometimes changes occur in an ecosystem in a short time. This change can cause a catastrophe in the ecosystem, which is difficult to identify. A proposed method for identifying a general change in time series is use the BFAST model, which, by analyzing the time series in the process, season, and residual components, identifies the changes in the time series and also repeatedly estimates the time and amount of the changes, and The path and amount of variation in this study, using this model and satellite images to monitor and evaluate the changes in coverage and decline of oak forests in Lorestan province during the statistical period (2000-2017). The results showed that more than 42804 hectares (1.5%) of the oak forests of the province were lost due to the decline phenomenon during the studied period. Also, according to the BFAST method, the trend diagram is a failover and their frequency variations are irregular. Comparison and study of different forest coverings also showed a decrease in NDVI, which indicates that the process of decreasing forest cover is inclusive. The study of autocorrelation and Kendal coefficient showed that there were significant changes and severity of failure (-0.7) in the area Study. The seasonal chart also has uneven and irregular variations due to changes in oak forests in the region. The results of this research can be used to study the changes in the coverage of oak forests in the area and management and the way to think about this phenomenon.
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