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Friday, April 17, 2020 | History

8 edition of Modelling fluctuating populations found in the catalog.

Modelling fluctuating populations

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  • 8 Currently reading

Published by Wiley in Chichester, New York .
Written in English

    Subjects:
  • Population biology -- Mathematical models

  • Edition Notes

    StatementR.M. Nisbet and W.S.C. Gurney.
    ContributionsGurney, W. S. C.
    Classifications
    LC ClassificationsQH352 .N57
    The Physical Object
    Paginationxiii, 379 p. :
    Number of Pages379
    ID Numbers
    Open LibraryOL4268623M
    ISBN 100471280585
    LC Control Number81014668


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Modelling fluctuating populations by R. M. Nisbet Download PDF EPUB FB2

Modelling Fluctuating Populations, originally published inis a classic textbook because primarily, this book takes a distinctive approach to population dynamics, by emphasizing from the earliest chapters that all populations fluctuate by:   Modelling Fluctuating Populations, originally published inis a classic textbook because primarily, this book takes a distinctive approach to population dynamics, by emphasizing from the earliest chapters that all populations fluctuate continuously.

Traditional Pages: By R. Nisbet and W.S.C. Gurney From the foreword to this reprinting: “In the Introduction to Modelling Fluctuating Populations, published inwe characterized the state-of-the-art in theoretical ecology as being that “at present we can make quantitative, testable models only of laboratory systems which are themselves caricatures of reality.”.

Buy Modelling Fluctuating Populations (): NHBS - RM Nisbet and WSC Gurney, Blackburn Press. Modelling Fluctuating Populations, originally published inis a classic textbook because primarily, this book takes a distinctive approach to population dynamics, by emphasizing from the earliest chapters that all populations fluctuate continuously.

Traditional themes in theoretical ecology such as equilibrium and population stability are linked to analyses of the response of a Cited by: Cite this article as: Acta Appl Math () 4: DOI ; Publisher Name Kluwer Academic.

Additional Physical Format: Online version: Nisbet, R.M. Modelling fluctuating populations. Chichester ; New York: Wiley, © (OCoLC)   Modelling Fluctuating Populations by R. Nisbet,available at Book Depository with free delivery worldwide.4/5(1).

Open Library is an open, editable library catalog, building towards a web page for every book ever published. Modelling fluctuating populations Pages:   Modelling Fluctuating Populations, originally published inis a classic textbook because primarily, this book takes a distinctive approach to population dynamics, by emphasizing from the earliest chapters that all populations fluctuate continuously.

Traditional Price: $ Modelling Fluctuating Populations, originally published inis a classic textbook because primarily, this book takes a distinctive approach to population dynamics, by emphasizing from the earliest chapters that all populations fluctuate continuously.

Traditional themes in theoretical ecology such as equilibrium and population stability are linked to analyses of the response of a. Modelling Biological Populations in Space and Time (Cambridge Studies in Mathematical Biology) fluctuating environments, spatial systems, velocities of spread, epidemics, and spatial branching structures.

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Cited by: Modelling Biological Populations in Space and Time; Modelling the coexistence gain and interactions of populations in Taxodium ascendens-intercrop include birth-death and logistic processes, competition and predator-prey relationships, chaos, reaction time-delays, fluctuating environments, spatial systems, velocities of spread Cited by: Modelling Fluctuating Populations, originally published inis a classic textbook because primarily, this book takes a distinctive approach to population dynamics, by emphasizing from the earliest chapters that all populations fluctuate continuously.

Traditional themes in theoretical ecology such as equilibrium and population stability are Author: R.M. Nisbet and William Gurney. This volume develops a unifying approach to population studies that emphasizes the interplay between modeling and experimentation and that will provide mathematicians and biologists with a framework within which population dynamics can be fully explored and understood.

A unique feature of the book is that deterministic and stochastic models are considered together; spatial effects are 3/5(2). Abstract. Modelling Fluctuating Populations, originally published inis a classic textbook because primarily, this book takes a distinctive approach to population dynamics, by emphasizing from the earliest chapters that all populations fluctuate : R.M.

Nisbet and William Gurney. Another of my favourites, in the same vein: Modelling Fluctuating Populations, by Nisbet and Gurney. Every time re-open it, I learn something new.

Eric Pedersen on Febru at. Modelling Hantavirus in Fluctuating Populations of Bank Voles: The Role of Indirect Transmission on Virus Persistence Article in Journal of Animal Ecology 72(1):1 - 13 February with 37 Reads. Modelling fluctuating populations, fall Lecturer.

PhD Stefan Geritz. Scope. 10 sp. Type. Advanced studies. Prerequisites. Some familiarity with ordinary differential equations. Lectures. Weeks andTuesday room C, Thursday room C No lectures on 19 and 21 September; no exercise class on 22 September. Contents.

Modelling Fluctuating Populations by Nisbet and Gurney,PSU, or Mathematical Biophysics by N. Rashevsky, (An ambitious analysis of cells, nerves, locomotion, scaling laws, and boolean networks before the discovery of DNA) In addition, there are a number of books in other fields I have found valuable.

Modelling Biological Populations In Space And Time Book also available for Read Online, mobi, docx and mobile and kindle reading. 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.

This book is unbelievably cool because it uses actual data from landmark ecological experiments as examples of each stochastic model type. Like Huffaker's mites where you put two types of mites (one predator and one prey species) on oranges and depending on how many oranges you use, you can seem multiple population oscillations before the system crashes/5.

MODELLING BIOLOGICAL POPULATIONS IN SPACE AND TIME Download Modelling Biological Populations In Space And Time ebook PDF or Read Online books in PDF, EPUB, and Mobi Format. Click Download or Read Online button to Modelling Biological Populations In.

A brief introduction to the formulation of various types of stochastic epidemic models is presented based on the well-known deterministic SIS and SIR epidemic models. Three different types of Cited by: Hit enter to search.

Help. Online Help Keyboard Shortcuts Feed Builder What’s new. : Modelling Biological Populations in Space and Time (Cambridge Studies in Mathematical Biology) () by Renshaw, Eric and a great selection of similar New, Used and Collectible Books available now at great prices/5(2).

Modelling interactions in physiologically structured populations: competition, predation, cannibalism, disease, behavior. Map of Forest Regions and Sections (from inside back cover of book) Marks of American Potters Mathematics / Statistics Mining Geostatistics Modelling Fluctuating Populations Mortal Engines: The Science of Performance and the Dehumanization of Sport Mosses: Utah and the West Most Recent Publications Mountain Sheep and Man in the Northern Wilds.

Population models are used to determine maximum harvest for agriculturists, to understand the dynamics of biological invasions, and for environmental conservation. Population models are also used to understand the spread of parasites, viruses, and disease.

Another way populations models are useful are when species become endangered. INTRODUCTION TO MODELING AND SIMULATION Anu Maria State University of New York at Binghamton Department of Systems Science and Industrial Engineering Binghamton, NYU.S.A.

ABSTRACT This introductory tutorial is an overview of simulation modeling and analysis. Many critical questions are. Get this from a library. Modelling biological populations in space and time. [Eric Renshaw, (Professor)] -- "This volume aims to develop a unifying approach to population studies which emphasises the interplay between modelling and experimentation.

The aim throughout is to provide biologists and. BOOK REVIEWS R. Nisbet and W. Gurney: Modelling Fluctuating Populations, John Wiley, New York, This excellent book gives a state-of-the-art account of our understanding of the dyna- mical behavior of biological : VDOCUMENTS.

Plant and Crop Modelling: A Mathematical Approach to Plant and Crop Physiology. $ Introduction to Bryology. $ Snakes: Ecology and Evolutionary Biology. $ Snakes: Ecology and Behavior. $ Woody Plants for the Central and Northern Prairies. $ Fishes of the Gulf of Maine.

Modelling Fluctuating Populations. Wiley, p., ISBN+ good for discrete models - out of date seems to be out of print. 56 Howard T. Odum and Elizabeth C. Odum. Modeling for All Scales. Academic Press, eBook, additional information provided.

In summary, this is a very useful book for anyone interested either in theoretical ecology or in modelling fluctuating populations. Its direct usefulness to the practising nematologist is less clear, though the chapters on demographic processes and modelling of the chemostat may be of direct application in culturing experiments.

Modelling Fluctuating Populations by Roger M. Nisbet: Structured-Population Models in Marine, Terrestrial, and Freshwater Systems (Population and Community Biology Series) by Shripad Tuljapurkar, Hal Caswell: The Theoretical Biologist's Toolbox: Quantitative Methods for Ecology and Evolutionary Biology by Marc Mangel: My Favorite Books in Ecology.

Dawed et al. d () d d d x rt x t y vx sxy t = =−+ (2) where x is population size or density of prey; y is population size or density of predator communities in the system. Here we assume r to be a relative growth rate function which is positive valued function of time t.

The other parameters suv, are considered to be positive constants. The prey equation in (2) is the first order File Size: 2MB. Population modeling with dynamic models. One of the most important questions in ecology is how populations of animals grow and decline. This turns out to be a very hard question.

There are many population models, but so far none of them can be considered a final answer. Population models can be simple or complex, but they are all dynamic models. This book is an introduction into modeling population dynamics in ecology.

Because there are several good textbooks on this subject, the book needs a novel \niche" to justify its existence. Unique features of the book are: (1) an emphasis on \parameter free" phase plane analysis, (2) the usage of the epidemiological concept of an RFile Size: 5MB.

Modeling Population Growth: Exponential and Hyperbolic Modeling. Dean Hathout. Stanford Educational Program for Gifted Youth, Palo Alto, USA. Email: [email protected] Received December 7, ; revised January 7, ; accepted Janu ABSTRACT.

A standard part of the calculus curriculum is learning exponential growth Size: KB. Fluctuating asymmetry, the random deviation from perfect symmetry, is a widely used population-level index of developmental instability, developmental noise, and robustness.

It reflects a population’s state of adaptation and genomic coadaptation. Here, we review the literature on Cited by: in their areas ofwork. The book was about halfofthe complete course, the rest being statistical modelling.

Everything I write in this book from now on is addressed to the reader on the assumption that he or she has a similar background, and similar or broader interests. I assume, in other words, that you are not a mathematician, physi.To better understand these fluctuations, Modeling Fluctuations in Scattered Waves provides a practical guide to the phenomenology, mathematics, and simulation of non-Gaussian noise models and discusses how they can be used to characterize the statistics of scattered waves.

Using experimental results and numerical simulation, the book.