By J. McGlade

ISBN-10: 0865427348

ISBN-13: 9780865427341

Complex Ecological conception is meant for either postgraduate scholars researchers in ecology. It offers an outline of present advances within the box in addition to heavily comparable parts in evolution, ecological economics, and natural-resource administration, familiarizing the reader with the mathematical, computational and statistical methods utilized in those assorted parts. The booklet has an exhilarating set of numerous contributions written by means of major specialists.

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1997) The population consequences of territorial behaviour. Trends in Evolution and Ecology, 12, 63–65. L. F. (1996) Modelling effects of chemicals on a population: application to a wading bird nesting colony. Ecological Modelling, 92, 155–178. Hanski, I. & Gilpin, M. (1991) Metapopulation dynamics: brief history and conceptual domain. Biological Journal of the Linnaean Society, 42, 3–16. Harada,Y. & Iwasa,Y. (1994) Lattice population dynamics for plants with dispersing seeds and vegetative propagation.

Orszag, S. (1998) ‘Critical slowing down’ in time-to-extinction: an example of critical phenomena in ecology. Journal of Theoretical Biology, 192, 363– 376. Gilpin, M. & Hanski, I. Academic Press, London. M. (1997) The population consequences of territorial behaviour. Trends in Evolution and Ecology, 12, 63–65. L. F. (1996) Modelling effects of chemicals on a population: application to a wading bird nesting colony. Ecological Modelling, 92, 155–178. Hanski, I. & Gilpin, M. (1991) Metapopulation dynamics: brief history and conceptual domain.

After a relatively slow start in the 1920s and 1930s, the pace of research quickened dramatically throughout the remainder of the 20th century, though mathematicians and biologists have tended to take widely diverging paths. e. probability) equations, with the occasional biological reference being thrown in merely to perpetuate the mirage of potential applicability. Whilst, supposedly grass-roots ‘mathematical biologists’ are often tempted to develop vaguely plausible deterministic models which reflect mathematical hope rather than biological reality.

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Advanced Ecological Theory: Principles and Applications by J. McGlade


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