Advanced Ecological Theory: Principles and Applications by J. McGlade PDF

By J. McGlade

ISBN-10: 0865427348

ISBN-13: 9780865427341

Complex Ecological conception is meant for either postgraduate scholars researchers in ecology. It presents an outline of present advances within the box in addition to heavily similar parts in evolution, ecological economics, and natural-resource administration, familiarizing the reader with the mathematical, computational and statistical techniques utilized in those varied parts. The e-book has an exhilarating set of various contributions written by means of best gurus.

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Physics Review, E52, 6044–6054. R. (1997) A physiologically-based model of a self-motivated hare in relation to its ecology. Ecological Modelling, 95, 191–209. A. & 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.

In: Individual-based Models and Approaches in Ecology. L. DeAngelis & L. Gross). Chapman & Hall, London. L. (1981) Models for spatially distributed populations: the effect of within-patch variability. Theoretical Population Biology, 19, 288–325. E. A. (1997) Individual-based model of stream-resident rainbow trout and brook charr: model description, corroboration, and effects of sympatry and spawning season duration. Ecological Modelling, 94, 157–175. L. P. (1993) Resource dynamics and vegetation processes: a deterministic model using two-dimensional cellular automata.

Clearly if the number of studies involving ecologists in the process of modelling is any indication, then the conclusion would have to be yes. But are we really observing a new type of dynamics born out of modelling ecosystems from the perspective of individuals, or are we simply becoming more adept at 18 CHAPTER 1 detecting phenomena that we know exist in nature but have been unable to extract from the more traditional models? The four criteria they consider as defining IBMs are: the high degree to which the complexity of individual life-cycles is represented; explicit modelling of resource dynamics; representation of populations by natural or realnumbers; and the inclusion of individual variation.

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Advanced Ecological Theory: Principles and Applications by J. McGlade


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