SE-Modeling-NP-3-3-17.Pdf
Modeling and Visualization of forest cover transition in protected areas Forests are complex ecosystems, requires efficient forestry management. This involves consideration of current and future management issues including the richness of living organisms in forests, the uniqueness of forest dependent people. Monitoring and mediating the negative consequences LULC (land use land cover) change will help in sustainable planning, decreasing environmental consequences such as climate change, biodiversity loss, land degradation, soil erosion and pollution of water, air. Modeling and visualization techniques have been widely applied to account and forecast changes in forests across the world. Modeling and visualization allows to quantify spatial and temporal variability in landscape at a finer scale, where similar studies on the ground would be logistically impossible (Amato et al., 2011). LULC modeling for forested landscape is often used for predicting trajectories of future, analyzing the fundamental socio-political, economic, cultural and biophysical forces acting. Modeling approach focuses on two disparate parts acting at a landscape i.e. processes, and spatial patterns. The two parts have included in dynamic models by presuppose homogeneity and immediate information transfer at various spatial extensions (Ramachandra et al., 2017). In general models are developed based on defensible empirical data, which bring findings back from abstraction to some real world understanding. The two basic modeling approaches are theoretical and simulation modeling. Theoretical models are built on mathematical principles and applying them to natural systems (Clark, 1991), which adds complexity in understanding pattern and process. Simulation models incorporate simple complexity, but reflect actual ecological accurately with better readability. Due to continuous improvement in technology, many models are developed for accounting patterns and processes effectively which connect biophysical and human related factors, explicit inclusion of human nature interaction mechanisms.
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