In this study, we investigate the dynamics of a spatial and non spatial
prey-predator interaction model that includes the following: (i) fear effect
incorporated in prey birth rate; (ii) group defence of prey against predators;
and (iii) prey refuge. We provide comprehensive mathematical analysis of
extinction and persistence scenarios for both prey and predator species. To
better explore the dynamics of the system, a thorough investigation of
bifurcation analysis has been performed using fear level, prey birth rate, and
prey death rate caused by intra-prey competition as bifurcation parameter. All
potential occurrences of bi-stability dynamics have also been investigated for
some relevant sets of parametric values. Our numerical evaluations show that
high levels of fear can stabilize the prey-predator system by ruling out the
possibility of periodic solutions. Also, our model Hopf bifurcation is
subcritical in contrast to traditional prey-predator models, which ignore the
cost of fear and have supercritical Hopf bifurcations in general. In contrast
to the general trend, predator species go extinct at higher values of prey
birth rates. We have also found that, contrary to the typical tendency for prey
species to go extinct, both prey and predator populations may coexist in the
system as intra-prey competition level grows noticeably. The stability and
Turing instability of associated spatial model have also been investigated
analytically. We also perform the numerical simulation to observe the effect of
different parameters on the density distribution of species. Different types of
spatiotemporal patterns like spot, mixture of spots and stripes have been
observed via variation of time evolution, diffusion coefficient of predator
population, level of fear factor and prey refuge. The fear level parameter (k)
has a great impact on the spatial dynamics of model system