Open image in new window Fig. 4 Demand response resource interaction diagrams.
The resource interaction between the different events, specially resource conflicts, resource blocking and system dead locks are automatically identified by the simulation.
It is designed to assist in decision making for marine resource access and use by considering the actions of those using the resources, interactions between these groups, and their cumulative impact on the natural environment.
The iTools infrastructure greatly facilitates this type of multi-resource interactions and interoperability.
In particular, we focus on the role of the extracted-resource allocation function to quantity versus quality in both constant and switching modes in stabilizing consumer-resource interactions.
This discussion also illustrates the importance of quantifying resource abundance in a natural experiment at a spatial scale appropriate for the consumer-resource interactions.
Second order systems arise when modeling consumer-resource interactions (see [8] and the references therein) or through the incorporation of inertial terms into a Newtonian-type formulation of population growth ([15], [20]).
We demonstrate that oscillations do not arise in our model from quantity-quality interactions alone, but require consumer-resource interactions across trophic levels that can be stabilized through judicious resource allocation strategies.
Our analysis indicates very clearly, however, that resource extraction switching between increasing the abundance and elevating the quality of consumers provides an extremely powerful mechanism for promoting the stability of consumer-resource interactions.
