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In the application of statistics to ecological inference problems, hierarchical models combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are applied in this book to a wide range of problems ranging from the molecular level, through populations, ecosystems, landscapes, networks, through to the global ecosphere. - Provides an excellent introduction to modelling - Collects together in one source a wide range of modelling techniques - Covers a wide range of topics, from the molecular level to the global ecosphere
Despite claims to the contrary, the science of ecology has a long history of building theories. Many ecological theories are mathematical, computational, or statistical, though, and rarely have attempts been made to organize or extrapolate these models into broader theories. The Theory of Ecology brings together some of the most respected and creative theoretical ecologists of this era to advance a comprehensive, conceptual articulation of ecological theories. The contributors cover a wide range of topics, from ecological niche theory to population dynamic theory to island biogeography theory. Collectively, the chapters ably demonstrate how theory in ecology accounts for observations about the natural world and how models provide predictive understandings. It organizes these models into constitutive domains that highlight the strengths and weaknesses of ecological understanding. This book is a milestone in ecological theory and is certain to motivate future empirical and theoretical work in one of the most exciting and active domains of the life sciences.
This study provides a stimulating critique of contemporary evolutionary thought, analyzing the Modern Synthesis first developed by Theodosius Dobzhansky, Ernst Mayr, and George Gaylord Simpson. The author argues that although only genes and organisms are taken as historic "individuals" in conventional theory, species, higher taxa, and ecological entities such as populations and communities should also be construed as individuals--an approach that yields the ecological and genealogical hierarchies that interact to produce evolution. This clearly stated, controversial work will provoke much debate among evolutionary biologists, systematists, paleontologists, and ecologists, as well as a wide range of educated lay readers.
Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.
The International Society for Ecological Modelling (ISEM) sponsors conferences, workshops and training courses with the aim of advancing the development of ecological and environmental modelling. The 3rd International Conference on the state-of-the-art in ecological modelling was sponsored by the ISEM in cooperation with the National Park Service Water Resources Laboratory and hosted by the Natural Resource Ecology Laboratory at Colorado State University. Its theme was the application of ecological modelling to environmental management and this book contains the full texts of the three invited papers presented in the five general sessions, plus the final summaries and syntheses of the topics covered during those sessions.
The groundbreaking Encyclopedia of Ecology provides an authoritative and comprehensive coverage of the complete field of ecology, from general to applied. It includes over 500 detailed entries, structured to provide the user with complete coverage of the core knowledge, accessed as intuitively as possible, and heavily cross-referenced. Written by an international team of leading experts, this revolutionary encyclopedia will serve as a one-stop-shop to concise, stand-alone articles to be used as a point of entry for undergraduate students, or as a tool for active researchers looking for the latest information in the field. Entries cover a range of topics, including: Behavioral Ecology Ecological Processes Ecological Modeling Ecological Engineering Ecological Indicators Ecological Informatics Ecosystems Ecotoxicology Evolutionary Ecology General Ecology Global Ecology Human Ecology System Ecology The first reference work to cover all aspects of ecology, from basic to applied Over 500 concise, stand-alone articles are written by prominent leaders in the field Article text is supported by full-color photos, drawings, tables, and other visual material Fully indexed and cross referenced with detailed references for further study Writing level is suited to both the expert and non-expert Available electronically on ScienceDirect shortly upon publication
`I have no doubt this book will be read and used time and again by any scholar working within the evolutionary approach to organizations. I believe that it will also be of great interest to strategy scholars′ - Management `Rodolphe Durand has a compelling message for the growing community of evolutionary researchers in organization studies. Evolutionary researchers need to attend more carefully to historical and contemporary debates in the biological sciences if they are to avoid false tracks and simplisitic analogies. Durand offers here the foundations of a distinctive and authentic evolutionary theory that takes organizations seriously for what they are′ - Richard Whittington, Oxford University `This book fills an important gap in the study of organizations and strategy from an evolutionary perspective. It offers a synthetic approach to evolutionary analysis with grounded empirical examples that graduate students and seasoned scholars alike will find immensely useful. Durand′s OES model, rooted in a critical examination of philosophical and scientific writings on evolution, is particularly promising and provides a valuable guidepost for future research on organizations and strategic management′ - Michael Lounsbury, University of Alberta How is economic evolutionary theory, in which organisations evolve according to environmental selection, reconciled with evidence of strategic management? This book is the first of its kind to propose a solution to this theoretical puzzle and engage readers in a balanced understanding of organizational evolution. Rodolphe Durand embarks upon a fresh assessment of the literature. His discoveries provide the foundation for a new theory of organizational selection and an organizational evolution and strategy model that reconciles economic evolution with strategic intentionality. Chapters include an examination of the work by Lamarck, Darwin and Spencer; a constructive appraisal of evolutionary theory applied to organisations and a summary of how the organizational evolution and strategy model will affect future theory and research.
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.
While the research and management of wildlife has traditionally emphasised studies at smaller scales, it is now acknowledged that larger, landscape-level patterns strongly influence demographic processes in wild animal species. This book is the first to provide the conceptual basis for learning how larger scale patterns and processes can influence the biology and management of wildlife species. It is divided into three sections: Underlying Concepts, Landscape Metrics and Applications and Large Scale Management.
This book synthesizes and reconciles modern and classical perspectives into a general unified theory.