We investigate the effect of constant and periodic harvesting on the Beverton-Holt model in a periodically fluctuating environment. We show that in a periodically fluctuating environment, periodic harvesting gives a better maximum sustainable yield compared to constant harvesting. However, if one can also fix the environment, then constant harvesting in a constant environment can be a better option, especially for sufficiently large initial populations. Also, we investigate the combinatorial structure of the periodic sequence of carrying capacities and its effect on the maximum sustainable yield. Finally, we leave some questions worth further investigations.</p
Abstract In this work, a prey-predator model with both state-dependent impulsive harvesting and cons...
An algorithm is developed to determine the optimum sustainable yield subject to the condition that t...
An algorithm is developed to determine the optimum sustainable yield subject to the condition that t...
In this paper, we investigate the effect of constant and periodic harvesting on the Beverton-Holt mo...
In this theoretical study, we investigate the effect of different harvesting strategies on the discr...
In this paper, we establish the exploitation of a single population modeled by the Beverton-Holt dif...
We discuss the effect of a periodic yield harvesting on a single species population whose dynamics i...
Article from the journal: Journal of Applied Mathematics. Also avialable from Hindawi: http://dx.doi...
We discuss the effect of a periodic yield harvesting on a single species population whose dynamics i...
Many recent advances in the theory of the optimal economic exploitation of renewable fish resources ...
Many recent advances in the theory of the optimal economic exploitation of renewable fish resources ...
Article from the journal: Journal of Applied Mathematics. Also avialable from Hindawi: http://dx.doi...
AbstractWe discuss a discrete population model describing single species growth with periodic harves...
We present a steady-state threshold risk analysis framework for exploited populations following the ...
An algorithm is developed to determine the optimum sustainable yield subject to the condition that t...
Abstract In this work, a prey-predator model with both state-dependent impulsive harvesting and cons...
An algorithm is developed to determine the optimum sustainable yield subject to the condition that t...
An algorithm is developed to determine the optimum sustainable yield subject to the condition that t...
In this paper, we investigate the effect of constant and periodic harvesting on the Beverton-Holt mo...
In this theoretical study, we investigate the effect of different harvesting strategies on the discr...
In this paper, we establish the exploitation of a single population modeled by the Beverton-Holt dif...
We discuss the effect of a periodic yield harvesting on a single species population whose dynamics i...
Article from the journal: Journal of Applied Mathematics. Also avialable from Hindawi: http://dx.doi...
We discuss the effect of a periodic yield harvesting on a single species population whose dynamics i...
Many recent advances in the theory of the optimal economic exploitation of renewable fish resources ...
Many recent advances in the theory of the optimal economic exploitation of renewable fish resources ...
Article from the journal: Journal of Applied Mathematics. Also avialable from Hindawi: http://dx.doi...
AbstractWe discuss a discrete population model describing single species growth with periodic harves...
We present a steady-state threshold risk analysis framework for exploited populations following the ...
An algorithm is developed to determine the optimum sustainable yield subject to the condition that t...
Abstract In this work, a prey-predator model with both state-dependent impulsive harvesting and cons...
An algorithm is developed to determine the optimum sustainable yield subject to the condition that t...
An algorithm is developed to determine the optimum sustainable yield subject to the condition that t...