Spatial patterns of movement are fundamental to the ecology of
animal populations, influencing their social organization, mating
systems, demography, and the spatial distribution of prey and
competitors. However, our ability to understand the causes and
consequences of animal home range patterns has been limited by the
descriptive nature of the statistical models used to analyze them.
In "Mechanistic Home Range Analysis," Paul Moorcroft and Mark Lewis
develop a radically new framework for studying animal home range
patterns based on the analysis of correlated random work models for
individual movement behavior. They use this framework to develop a
series of mechanistic home range models for carnivore
populations.
The authors' analysis illustrates how, in contrast to
traditional statistical home range models that merely describe
pattern, mechanistic home range models can be used to discover the
underlying ecological determinants of home range patterns observed
in populations, make accurate predictions about how spatial
distributions of home ranges will change following environmental or
demographic disturbance, and analyze the functional significance of
the movement strategies of individuals that give rise to observed
patterns of space use.
By providing researchers and graduate students of ecology and
wildlife biology with a more illuminating way to analyze animal
movement, "Mechanistic Home Range Analysis" will be an
indispensable reference for years to come.
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