Modelling Forest Growth Indices on Vegetation Pattern Formation

Forest dynamics is mostly concerned with the changes in forest structure and composition over time, including its behavior response to anthropogenic natural destructions which one of primary evidence change. This study presents vegetation pattern formation taken into account all interaction measure indices such as light, water, temperature nutrients fertility. Michaelis-Menten Kinetics a Continuous-Time Markov (CTM) method were employed determine plant metabolism responses inputs. The technique was then used obtain simple growth component by synthesizing four - or resources (light, water temperature). Stability analysis formulated model carried out possible phase regions associated various stability states for sufficiently precise representation essential features model. Results β values spatial patterns obtained indicate association among soil fertility levels under different conditions. For instance, value 0.05605 represents control arid conditions, indicates numerous wider patches bare almost land compared exhibited other levels.