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Libro de Resúmenes / Book of Abstracts (Español/English)

Libro de Resúmenes / Book of Abstracts (Español/English)

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Resumenes 39<br />

Figure 1: Plano <strong>de</strong> fase<br />

A predator-prey mo<strong>de</strong>l to the citrus sud<strong>de</strong>n <strong>de</strong>ath<br />

Citrus Sud<strong>de</strong>n Death (CSD) is a disease that has affected sweet<br />

orange trees grafted on Rangpur lime. Researches have shown that the<br />

ducts which lead nutrients generated by the photosynthesis to the roots,<br />

become clogged and <strong>de</strong>generated. Without foods, the roots putrefy, the tree<br />

<strong>de</strong>cays and die.<br />

Preliminary studies have suggested that a virus transmitted by<br />

insects known as aphids causes this disease. Among the most known<br />

predators in citrus belonging to the Coleoptera Or<strong>de</strong>r and the Coccinelidae<br />

Family, the Cycloneda Sanguinea (ladybug) is an important agent for<br />

biological control because it eats aphids. Research data indicate that each<br />

larva <strong>of</strong> these predators can consume up to 200 aphids a day and the adults<br />

prey, in average, 20 aphids a day. This means that the <strong>de</strong>gree <strong>of</strong> predation<br />

<strong>of</strong> adults is, in average, 10% <strong>of</strong> the <strong>de</strong>gree larvae’s <strong>of</strong> predation and that,<br />

therefore, a mathematical mo<strong>de</strong>l to represent the interaction between<br />

aphids and ladybugs should take into account such difference in the class <strong>of</strong><br />

predators.<br />

In this work, we establish a mo<strong>de</strong>l <strong>of</strong> type predator-prey, based on<br />

fuzzy rules, to represent the interaction between the aphids (prey) and<br />

(ladybugs (predators) in the citriculture, replacing the standard mo<strong>de</strong>ls,<br />

from the differential equation system.<br />

The variables (inputs) are the rate <strong>of</strong> quantity <strong>of</strong> preys (x) and the<br />

rate <strong>of</strong> potential <strong>of</strong> predation ( P y ), given by Py = p1<br />

+ 0. 1*<br />

p2<br />

, where p 1 is the<br />

quantity <strong>of</strong> larvae <strong>of</strong> this population and p 2 is the population <strong>of</strong> adults. The<br />

outputs are the variation <strong>of</strong> prey, (x’), and the variation <strong>of</strong> the potential <strong>of</strong><br />

predation, ( P y'<br />

). The rules <strong>of</strong> the rule-based fuzzy system can be<br />

exemplified as follows: "If the quantity <strong>of</strong> preys is high and the potential <strong>of</strong><br />

predation is very low, then the variation <strong>of</strong> preys has a little increase and<br />

the variation <strong>of</strong> the potential <strong>of</strong> predation increases a lot."<br />

From the Mamdani Inference Method and the <strong>de</strong>fuzzification <strong>of</strong> the<br />

Center-<strong>of</strong>-Gravity, we have obtained the rates <strong>of</strong> variation <strong>of</strong> preys (x’) and<br />

potential <strong>of</strong> predation, ( P y'<br />

). Using a process <strong>of</strong> numerical integration, the<br />

Trapezoidal Rule, for example, we finally get the population <strong>of</strong> preys<br />

(aphids) and potential <strong>of</strong> predation <strong>of</strong> the predators (ladybugs), whose<br />

phase-plane is illustrates in Figure 1.

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