http://www.elsevier.com/locate/issn/00063207Poaching giant pandas (Ailuropoda melanoleuca) for their skins is a serious threat to the persistence of wild giant panda populations
in China. An individual-based, age-structured stochastic simulation model was constructed to give a quantitative analysis of
the effects of poaching. The model takes a total wild population of 1216 individuals divided among 16 ‘patches’. The model treats
individual populations as being completely independent, with no dispersal, and density-dependence only enters into the model
through local carrying capacity of patches. The model simulates three types of poaching: deterministic (constant) poaching, stochastic
poaching with normal distribution and stochastic poaching with observed distribution. Results showed that, with a given
initial population, poaching adult females produces lower average population size and higher average percentage extinction than
poaching adult males or young. At the same poaching intensity, all three poaching simulations predicted a similar probability of
extinction. However, they predicted different average population size and percentage extinction because of differences in the parameters
in the three models. These results should therefore be treated with caution when constant poaching simulation or stochastic
poaching with assumed normal distribution is used as a simplification of realistic poaching. Nevertheless, the results imply that
giant pandas are threatened by any reduction in natural populations. Effective measures are essential to reduce poaching. It is also
important to limit the capturing of wild animals for zoos or breeding facilities as this also has a serious effect on the total
population