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Complex population dynamics : nonlinear modeling in ecology, epidemiology, and genetics
Authors: --- ---
ISBN: 128191178X 9786611911782 9812771581 9789812771582 9789812771575 9812771573 9781281911780 Year: 2007 Volume: 7 Publisher: Singapore ; Hackensack, NJ : World Scientific,

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Abstract

"This collection of review articles is devoted to the modeling of ecological, epidemiological and evolutionary systems. Theoretical mathematical models are perhaps one of the most powerful approaches available for increasing our understanding of the complex population dynamics in these natural systems. Exciting new techniques are currently being developed to meet this challenge, such as generalized or structural modeling, adaptive dynamics or multiplicative processes. Many of these new techniques stem from the field of nonlinear dynamics and chaos theory, where even the simplest mathematical rule can generate a rich variety of dynamical behaviors that bear a strong analogy to biological populations."

Chaos in ecology : experimental nonlinear dynamics
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ISBN: 0121988767 9786611027131 1281027138 0080528872 9780121988760 9780080528878 Year: 2003 Publisher: Amsterdam : Boston : Academic Press,

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It is impossible to predict the exact behavior of all biological systems and how these same systems are exemplified by patterns of complexity and regularity. Decades of research in ecology have documented how these sorts of patterns are the consequences of deceptively simple rules that determine the nature of the patterns created. Chaos in Ecology will explain how simple beginnings result in complicated results.Chaos in Ecology is the inaugural volume of Theoretical Ecology Series. The authors of this volume have employed data from a proven model system in population dyn


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Mathematical models in population biology and epidemiology
Authors: ---
ISBN: 146141685X 1461416868 9781461416852 Year: 2011 Publisher: New York: Springer,

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This textbook provides an introduction to the field of mathematical biology through the integration of classical applications in ecology with more recent applications to epidemiology, particularly in the context of spread of infectious diseases. It integrates modeling, mathematics, and applications in a semi-rigorous way, stating theoretical results and giving references but not necessarily giving detailed proofs, providing a solid introduction to the field to undergraduates (junior and senior level), graduate students in applied mathematics, ecology, epidemiology or evolutionary biology, sustainability scientists, and to researchers who must routinely read the practical and theoretical results that come from modeling in ecology and epidemiology.   This new edition has been updated throughout. In particular the chapters on epidemiology have been updated and extended considerably, and there is a new chapter on spatially structured populations that incorporates dispersal. The number of problems has been increased and the number of projects has more than doubled, in particular those stressing connections to data.  In addition some examples, exercises, and projects include use of Maple and Matlab.  Review of first edition:   "A strength of the book is the large  number of biologically-motivated problem sets. These and the references to the original biological  papers would be valuable resources for an instructor." (UK Nonlinear News, 2001).

Individual-based modeling and ecology
Authors: ---
ISBN: 069109666X 9780691096667 9780691096650 0691096651 1400850622 9781400850624 Year: 2005 Publisher: Princeton : Princeton University Press,

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Individual-based models are an exciting and widely used new tool for ecology. These computational models allow scientists to explore the mechanisms through which population and ecosystem ecology arises from how individuals interact with each other and their environment. This book provides the first in-depth treatment of individual-based modeling and its use to develop theoretical understanding of how ecological systems work, an approach the authors call "individual-based ecology.? Grimm and Railsback start with a general primer on modeling: how to design models that are as simple as possible while still allowing specific problems to be solved, and how to move efficiently through a cycle of pattern-oriented model design, implementation, and analysis. Next, they address the problems of theory and conceptual framework for individual-based ecology: What is "theory"? That is, how do we develop reusable models of how system dynamics arise from characteristics of individuals? What conceptual framework do we use when the classical differential equation framework no longer applies? An extensive review illustrates the ecological problems that have been addressed with individual-based models. The authors then identify how the mechanics of building and using individual-based models differ from those of traditional science, and provide guidance on formulating, programming, and analyzing models. This book will be helpful to ecologists interested in modeling, and to other scientists interested in agent-based modeling.

Keywords

Biomathematics. Biometry. Biostatistics --- Human ecology. Social biology --- Population Dynamics --- Models, Theoretical --- Ecology --- Population biology --- Biotic communities --- Biologie des populations --- Mathematical models --- Modèles mathématiques --- Mathematical models. --- Modèles mathématiques --- Ecology. --- Models, Theoretical. --- Population Dynamics. --- Demographic Aging --- Demographic Transition --- Optimum Population --- Population Decrease --- Population Pressure --- Population Replacement --- Population Theory --- Residential Mobility --- Rural-Urban Migration --- Stable Population --- Stationary Population --- Malthusianism --- Neomalthusianism --- Aging, Demographic --- Decrease, Population --- Decreases, Population --- Demographic Transitions --- Dynamics, Population --- Migration, Rural-Urban --- Migrations, Rural-Urban --- Mobilities, Residential --- Mobility, Residential --- Optimum Populations --- Population Decreases --- Population Pressures --- Population Replacements --- Population Theories --- Population, Optimum --- Population, Stable --- Population, Stationary --- Populations, Optimum --- Populations, Stable --- Populations, Stationary --- Pressure, Population --- Pressures, Population --- Replacement, Population --- Replacements, Population --- Residential Mobilities --- Rural Urban Migration --- Rural-Urban Migrations --- Stable Populations --- Stationary Populations --- Theories, Population --- Theory, Population --- Transition, Demographic --- Transitions, Demographic --- Life History Traits --- Genetics, Population --- Experimental Model --- Experimental Models --- Mathematical Model --- Model, Experimental --- Models (Theoretical) --- Models, Experimental --- Models, Theoretic --- Theoretical Study --- Mathematical Models --- Model (Theoretical) --- Model, Mathematical --- Model, Theoretical --- Models, Mathematical --- Studies, Theoretical --- Study, Theoretical --- Theoretical Model --- Theoretical Models --- Theoretical Studies --- Computer Simulation --- Systems Theory --- Environmental Science --- Bionomics --- Ecologies --- Environmental Sciences --- Science, Environmental --- Sciences, Environmental --- Environmental Psychology --- Conservation of Natural Resources --- Environmental Health --- Ecosystem --- Balance of nature --- Biology --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Population biology - Mathematical models --- Biotic communities - Mathematical models

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