Agricultural landscape change analysis: A case study of Bornova district in Izmir province

The aim of the research is to determine the agricultural landscape change in Bornova District, Izmir, by using landscape metrics. The method of the research is to determine land use/land cover (LULC) and agricultural landscape change by classified satellite images and change detected by using landscape metrics. In this context, eight landscape metrics were used, which are Class Area (CA), Percentage of Landscape (PLAND), Mean Patch Area (AREA_MN), Connectance Index (CONNECT), Number of Patches (NP), Landscape Shape Index (LSI), Area-Weighted Mean Patch Area (AREA_AM) and Mean Euclidean Nearest Neighbor Distance (ENN_MN). Satellite images were interpreted on screen digitizing by using ArcGIS 10.1 for determine land use structure. FRAGSTATS 4.2 was used to analyze landscape patterns of the aforementioned district. The results revealed that class area of agricultural areas increased from 3113 hectares to 3121 hectares in study area between 2012 and 2016, and the total amount of agricultural areas increased from %14,52 to % 14,56.