Figure 1.
a) Representation and components of the cell, b) representation of the membrane structure using a rooted tree, and c) the analytical representation of membrane structure.
Figure 2.
Conceptual representation of the main difference between classical model based on differential equations and PDP models.
Figure 3.
Conceptual representation of the age-structured differential predation model, is the predation rate of population i on population j where
cats,
fledglings,
adult bird,
vegetation and
skinks.
is the annual intrinsic growth rate of population i.
For birds, is the adult sex-ratio,
the proportion of breeding adults,
the adult pair fecundity,
the number of clutches,
the fledgling survival,
the juvenile survival and
the adult survival.
is the corresponding mortality where
Russell et al. (2009).
Table 1.
Biological parameters used for the model (Russell et al. 2009).
Figure 4.
Scheme proposed for the PDP model.
The loop is formed by five modules that are applied sequentially. In three of the modules, two processes are applied in parallel. The objects associated with each of the animals evolve simultaneously in the different modules.
Figure 5.
Types of configurations that appear in the execution of a loop of the model.
The representation shows the types of objects that appear.
Figure 6.
Screen of the simulator obtained using MeCoSim showing the demographic parameters.
The user can change the values directly in the simulator placed in the box, which instantly tells us the evolution of the ecosystem by varying the starting scenario.
Figure 7.
Population trend of gadfly petrels, cats and rats.
The simulated scenario has been: gadfly petrels: 30 000, cats: 10 and rats: 500. The biological parameters used are shown in Table 1. a) Without human intervention, b) 50% of rats captured annually and from year 25 the 20% of cats are removed annually.
Figure 8.
Scheme proposed for the model by Margalida & Colomer (2012).