The Structural Detection of Spatial-Temporal Changes in Zagros Biome of Iran Using Landscape Ecology Principles

The Structural Detection of Spatial-Temporal Changes in Zagros Biome of Iran Using Landscape Ecology PrinciplesIt is important to know the process of changing the patterns of content composition and spatial configuration of the landscape structure of biomes, in order to optimally manage them over time. In this study, in accordance with the conceptual model of the principles of landscape ecology, including: structure, function and change, changes in the spatial configuration of the elements of Zagros Biome of Iran was studied by studying 26 catchment basins leading to Kohgiluyeh and Boyerahmad Province. The TM and OLI /TIRS images of Landsat 5 and 8 satellites were pre-processed for 1987-2017, appropriate bands were selected using the principal component analysis test and land-use classification was performed using two methods of maximum probability (MLE) and Perceptron Artificial Neural Network (MLP) with 7 input, 6 intermediate and 5 output layers. Classified land-use of MLP method was selected according to the resolution of features and greater accuracy and temporal-spatial identification of changes was performed. The results show that between 2017 and 1987 the highest rate of land reduction is seen in forest land-use and the highest rate of land increase is seen in pasture land-use. Landscape sustainability management based on landscape ecology principles in relations between structure, function and change can be used.