Individual Behavior and Community Dynamics

Individual Behavior and Community Dynamics PDF

Author: John Fryxell

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 212

ISBN-13: 1468414216

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A book blending evolution and trophic dynamics, taking into account recent advances in both behavioral and population ecology, is long overdue. A central objective of this book is to consider whether adaptive behavioral decisions on the individual organism level might tend to stabilize trophic interactions. A second major goal of the book is to explore the implications of presumably adaptive behaviors on trophic dynamics and the implications of trophic dynamics for the evolution of adaptive behaviors. All evolutionary biologists, ecologists, and behavioral ecologists should find this exciting volume essential reading.

Nonlinear Dynamics in Human Behavior

Nonlinear Dynamics in Human Behavior PDF

Author: Raoul Huys

Publisher: Springer Science & Business Media

Published: 2010-12-08

Total Pages: 216

ISBN-13: 3642162614

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Humans engage in a seemingly endless variety of different behaviors, of which some are found across species, while others are conceived of as typically human. Most generally, behavior comes about through the interplay of various constraints – informational, mechanical, neural, metabolic, and so on – operating at multiple scales in space and time. Over the years, consensus has grown in the research community that, rather than investigating behavior only from bottom up, it may be also well understood in terms of concepts and laws on the phenomenological level. Such top down approach is rooted in theories of synergetics and self-organization using tools from nonlinear dynamics. The present compendium brings together scientists from all over the world that have contributed to the development of their respective fields departing from this background. It provides an introduction to deterministic as well as stochastic dynamical systems and contains applications to motor control and coordination, visual perception and illusion, as well as auditory perception in the context of speech and music.

Community Based System Dynamics

Community Based System Dynamics PDF

Author: Peter S. Hovmand

Publisher: Springer Science & Business Media

Published: 2013-11-09

Total Pages: 117

ISBN-13: 1461487633

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Community Based System Dynamics introduces researchers and practitioners to the design and application of participatory systems modeling with diverse communities. The book bridges community- based participatory research methods and rigorous computational modeling approaches to understanding communities as complex systems. It emphasizes the importance of community involvement both to understand the underlying system and to aid in implementation. Comprehensive in its scope, the volume includes topics that span the entire process of participatory systems modeling, from the initial engagement and conceptualization of community issues to model building, analysis, and project evaluation. Community Based System Dynamics is a highly valuable resource for anyone interested in helping to advance social justice using system dynamics, community involvement, and group model building, and helping to make communities a better place.

Spatiotemporal Models of Population and Community Dynamics

Spatiotemporal Models of Population and Community Dynamics PDF

Author: T. Czaran

Publisher: Springer Science & Business Media

Published: 1998

Total Pages: 312

ISBN-13: 9780412575501

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This book presents a comprehensive typology and a comprehensible description of spatiotemporal models used in population dynamics. The main types included are: reaction-diffusion systems, patch models, matapopulation approaches, host parasitoid models, cellular automata (interacting particle systems), tessellations and distance models. The models are introduced through examples and with informative verbal explanations to help understanding. Some of the cellular automation examples are models not yet published elsewhere. Possible extensions of certain model types are suggested.

Stream Fish Community Dynamics

Stream Fish Community Dynamics PDF

Author: William J. Matthews

Publisher: JHU Press

Published: 2017-05

Total Pages: 359

ISBN-13: 1421422026

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The most comprehensive synthesis of stream fish community research ever produced. Winner of the CHOICE Outstanding Academic Title of the Choice ACRL Ecologists have long struggled to understand community dynamics. In this groundbreaking book, leading fish ecologists William Matthews and Edie Marsh-Matthews apply long-term studies of stream fish communities to several enduring questions. This critical synthesis reaches to the heart of ecological theory, testing concepts against the four decades of data the authors have collected from numerous warm-water stream fish communities in the central and eastern United States. Stream Fish Community Dynamics draws together the work of a single research team to provide fresh analyses of the short- and long-term dynamics of numerous streams, each with multiple sampling sites. Conducting repeated surveys of fish communities at temporal scales from months to decades, the authors' research findings will fascinate anyone searching for a deeper understanding of community ecology. The study sites covered by this book range from small headwater creeks to large prairie rivers in Oklahoma and from Ozark and Ouachita mountain streams in Arkansas to the upland Roanoke River in Virginia. The book includes • A comparison of all global and local communities with respect to community composition at the species and family level, emergent community properties, and the relationship between those emergent properties and the environments of the study sites • Analyses of traits of individual species that are important to their distribution or success in harsh environments • A review of evidence for the importance of interactions—including competition and predation—in community dynamics of stream fishes • An assessment of disturbance effects in fish community dynamics • New analysis of the short- and long-term dynamics of variation in stream fish communities, illustrating the applicability and importance of the "loose equilibrium concept" • New analyses and comparisons of spatiotemporal variation in community dynamics and beta diversity partitioning • An overview of the effects of fish in ecosystems in the central and eastern United States The book ends with a summary chapter that places the authors' findings in broader contexts and describes how the "loose equilibrium concept"—which may be the most appropriate default assumption for dynamics of stream fishes in the changing climate of the future—applies to many kinds of stream fish communities.

Individual-based Modeling and Ecology

Individual-based Modeling and Ecology PDF

Author: Volker Grimm

Publisher: Princeton University Press

Published: 2013-11-28

Total Pages: 445

ISBN-13: 1400850622

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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.