Abstract

This present communication delt, Inputs variability of major input parameters with temperature may possible with given example of lower stretches of river Ganges of fisheries and other biological importances. Earlier we found that soil cation exchange capacity CEC has a significant impacts on biology. Any tallness lead to lower CEC and dwarfness lead to higher CEC applicable for both plants and animals. Both growth and reproduction negetively correlated with CEC. in lower CEC higher Isoprene is synthesiesd and resulting diseases less growth and survibal. In long run all hydrocarbon derivatives, petrolium can be prevailing in low CEC zones. We often emphasise environment may be the key in controlling growth and properity. Temperature being the controlling parametsers of many environmental inputs to the spoecies of plants and animals in aquatic environment. Authors has found some machine learning techniques to estimate or identify environmental input parameters with changing temperature perpetually.

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