Analysis of Landscape Composition and Configuration Based on LULC Change Modeling

Land cover changes threaten biodiversity by impacting the natural habitats and require careful continuous assessment. The standard approach for assessing these is land modeling. present study investigated spatio-temporal in Use Cover (LULC) Gorgan River Basin (GRB) during 1990–2020 period predicted 2040. First, a change analysis employing satellite imagery from 1990 to 2020 was carried out. Then, Multi-Layer Perceptron (MLP) technique used predict transition potential. accuracy rate, training RMS, testing RMS of artificial neural network, MLP, potential modeling were computed order evaluate results. Utilizing projections 2020, prediction made. By contrasting anticipated map with actual model evaluated. LULC conditions future under two scenarios current trend (scenario 1) ecological capability 2) Seven landscape metrics considered, including Number Patches, Patch Density, Largest Index, Edge Landscape Shape Area, Area-Weighted Mean Index. Based on Cramer coefficient, most critical factors affecting elevation, distance forest, experimental probability change. For period, shown be influenced deforestation, reduced rangeland, expansion agricultural residential areas. scenario 1, area agriculture, rangeland would face −0.8, 0.5, 0.1% total area, respectively. In 2, 0.1, −1.3, 1.3% results indicated destructive period. improving condition GRB, it suggested prioritize different areas need regeneration due inappropriate take preventive protective measures where future, taking into account management 2).