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Modelling Fluctuating Populations

Modelling Fluctuating Populations
Author: R. M. Nisbet
Publisher: John Wiley & Sons
Total Pages: 408
Release: 1982
Genre: Science
ISBN:

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Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.


Modelling Biological Populations in Space and Time

Modelling Biological Populations in Space and Time
Author: Eric Renshaw
Publisher: Cambridge University Press
Total Pages: 428
Release: 1993-08-26
Genre: Mathematics
ISBN: 9780521448550

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This volume develops a unifying approach to population studies, emphasising the interplay between modelling and experimentation. Throughout, mathematicians and biologists are provided with a framework within which population dynamics can be fully explored and understood. Aspects of population dynamics covered include birth-death and logistic processes, competition and predator-prey relationships, chaos, reaction time-delays, fluctuating environments, spatial systems, velocities of spread, epidemics, and spatial branching structures. Both deterministic and stochastic models are considered. Whilst the more theoretically orientated sections will appeal to mathematical biologists, the material is presented so that readers with little mathematical expertise can bypass these without losing the main flow of the text.


Population Dynamics

Population Dynamics
Author: Bertram G. Jr. Murray
Publisher: Elsevier
Total Pages: 223
Release: 2013-07-22
Genre: Technology & Engineering
ISBN: 0323159850

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Population Dynamics: Alternative Models provides a theoretical framework of population dynamics. This book contains seven chapters that discuss the controversies surrounding discussions on the explicit view of the subject. Chapters 1 and 2 present a general introduction to the terminology, the mathematical background, and the philosophical approach that lie behind the theoretical development. Chapter 3 contains a series of models accounting for variations in population growth rates, sizes, and fluctuations, while Chapter 4 examines a model accounting for the evolution of life history patterns. A more detailed examination of the effects of predation on prey populations, especially with respect to determining a prey population's maximum sustainable yield, is explored in Chapter 5. Chapter 6 highlights the interspecific competition theory in terms of the population dynamics models presented in a previous chapter. Chapter 7 summarizes the developments in the population dynamics research studies. This work will be of great value to ecologists, biologists, and population dynamics researchers.


Stability in Model Populations (MPB-31)

Stability in Model Populations (MPB-31)
Author: Laurence D. Mueller
Publisher: Princeton University Press
Total Pages: 334
Release: 2020-03-31
Genre: Science
ISBN: 0691209944

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Throughout the twentieth century, biologists investigated the mechanisms that stabilize biological populations, populations which--if unchecked by such agencies as competition and predation--should grow geometrically. How is order in nature maintained in the face of the seemingly disorderly struggle for existence? In this book, Laurence Mueller and Amitabh Joshi examine current theories of population stability and show how recent laboratory research on model populations--particularly blowflies, Tribolium, and Drosophila--contributes to our understanding of population dynamics and the evolution of stability. The authors review the general theory of population stability and critically analyze techniques for inferring whether a given population is in balance or not. They then show how rigorous empirical research can reveal both the proximal causes of stability (how populations are regulated and maintained at an equilibrium, including the relative roles of biotic and abiotic factors) and its ultimate, mostly evolutionary causes. In the process, they describe experimental studies on model systems that address the effects of age-structure, inbreeding, resource levels, and population structure on the stability and persistence of populations. The discussion incorporates the authors' own findings on the evolution of population stability in Drosophila. They go on to relate laboratory work to studies of animals in the wild and to develop a general framework for relating the life history and ecology of a species to its population dynamics. This accessible, finely written illustration of how carefully designed experiments can improve theory will have tremendous value for all ecologists and evolutionary biologists.


Dynamic Population Models

Dynamic Population Models
Author: Robert Schoen
Publisher: Springer Science & Business Media
Total Pages: 254
Release: 2007-05-05
Genre: Social Science
ISBN: 1402052308

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Dynamic Population Models is the first book to comprehensively discuss and synthesize the emerging field of dynamic modeling. Incorporating the latest research, it includes thorough discussions of population growth and momentum under gradual fertility declines, the impact of changes in the timing of events on fertility measures, and the complex relationship between period and cohort measures. The book is designed to be accessible to those with only a minimal knowledge of calculus.


Introduction to Population Modeling

Introduction to Population Modeling
Author: J.C. Frauenthal
Publisher: Springer Science & Business Media
Total Pages: 195
Release: 2012-12-06
Genre: Mathematics
ISBN: 1468473220

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The text of this monograph represents the author's lecture notes from a course taught in the Department of Applied Mathematics and Statistics at the State University of New York at Stony Brook in the Spring of 1977. On account of its origin as lecture notes, some sections of the text are telegraphic in style while other portions are overly detailed. This stylistic foible has not been modified as it does not appear to detract seriously from the readability and it does help to indicate which topics were stressed. The audience for the course at Stony Brook was composed almost entirely of fourth year undergraduates majoring in the mathematical sciences. All of these students had studied at least four semesters of calculus and one of probability; few had any prior experience with either differential equations or ecology. It seems prudent to point out that the author's background is in engineering and applied mathematics and not in the biological sciences. It is hoped that this is not painfully obvious. -vii- The focus of the monograph is on the formulation and solution of mathematical models; it makes no pretense of being a text in ecology. The idea of a population is employed mainly as a pedagogic tool, providing unity and intuitive appeal to the varied mathematical ideas introduced. If the biological setting is stripped away, what remains can be interpreted as topics on the qualitative behavior of differential and difference equations.


Social Behaviour in Fluctuating Populations

Social Behaviour in Fluctuating Populations
Author: Andrew Cockburn
Publisher: Springer Science & Business Media
Total Pages: 260
Release: 1987-12-31
Genre: Science
ISBN: 9780709934264

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This book forges a synthesis between the discipline of behavioural ecology and what is known of the social behaviour and population dynamics of cyclic populations of vertebrates, with particular discussion of the cyclic voles and lemmings. Areas of uncertainty, and those which show promise are identified, and tests of competing hypotheses are suggested. Finally, the relevance of social dynamics to population growth and decline are examined, and a hypothesis on the role of aggressiveness in expanding populations is presented.


Modeling Populations of Adaptive Individuals

Modeling Populations of Adaptive Individuals
Author: Steven F. Railsback
Publisher: Princeton University Press
Total Pages: 195
Release: 2020-05-19
Genre: Science
ISBN: 0691180490

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"This book offers a new theory for modeling how organisms make tradeoff decisions and how these decisions affect both individuals and populations. Tradeoff decisions (or behaviors) are those that are optimize survival and include behaviors like foraging and reproduction. Existing theories have not painted a complete picture of tradeoff decisions because they only observe how the decisions of an individual affect them rather than how individuals impact, and are impacted by, the behavior of their communities. The authors' theory-which they call state and prediction based theory-uses individual-based models since these models show the complex ways that organisms relate to their environment. The authors' broader approach, one that integrates behavior and population dynamics, allows ecologists to see how individuals make adaptive tradeoff decisions. In simpler terms, this theory does not assume, as the previous models do, that future conditions are fixed, known, and unaffected by the behavior of others. Instead, the authors assume individuals make decisions like people do, which is by forecasting future conditions, using approximation to make good decisions, and updating their choices as conditions change"--