Bird population dynamics, management, and conservation: the role of mathematical modelling

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Abstract
In the real world animal populations rarely show simple patterns of growth such as the exponential or logistic model: most of the time complex mechanisms interact over time in an intrinsically multiplicative process. This complexity limits the value of intuitive reasoning or of simple models. In a parallel way, biological goals in studies of the dynamics of bird populations are very diverse, ranging e.g. from deciding if a population is stable in numbers, to assessing the effects of dispersal at various levels in time and space. This might be used equally to fight a pest as to predict the risk of extinction of an endangered population.

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