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Models Of The Ecological Hierarchy
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Book Synopsis Models of the Ecological Hierarchy by :
Download or read book Models of the Ecological Hierarchy written by and published by Newnes. This book was released on 2012-12-31 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Hierarchical Modeling and Inference in Ecology by : J. Andrew Royle
Download or read book Hierarchical Modeling and Inference in Ecology written by J. Andrew Royle and published by Elsevier. This book was released on 2008-10-15 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures. The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution * abundance models based on many sampling protocols, including distance sampling * capture-recapture models with individual effects * spatial capture-recapture models based on camera trapping and related methods * population and metapopulation dynamic models * models of biodiversity, community structure and dynamics Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) Development of classical, likelihood-based procedures for inference, as well as Bayesian methods of analysis Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS Computing support in technical appendices in an online companion web site
Book Synopsis A Hierarchical Concept of Ecosystems. (MPB-23), Volume 23 by : Robert V. O'Neill
Download or read book A Hierarchical Concept of Ecosystems. (MPB-23), Volume 23 written by Robert V. O'Neill and published by Princeton University Press. This book was released on 2021-09-14 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Ecosystem" is an intuitively appealing concept to most ecologists, but, in spite of its widespread use, the term remains diffuse and ambiguous. The authors of this book argue that previous attempts to define the concept have been derived from particular viewpoints to the exclusion of others equally possible. They offer instead a more general line of thought based on hierarchy theory. Their contribution should help to counteract the present separation of subdisciplines in ecology and to bring functional and population/community ecologists closer to a common approach. Developed as a way of understanding highly complex organized systems, hierarchy theory has at its center the idea that organization results from differences in process rates. To the authors the theory suggests an objective way of decomposing ecosystems into their component parts. The results thus obtained offer a rewarding method for integrating various schools of ecology.
Book Synopsis A Steady-state Model of Ecological Hierarchy by : Grant Garrison Thompson
Download or read book A Steady-state Model of Ecological Hierarchy written by Grant Garrison Thompson and published by . This book was released on 1984 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: A generalized mathematical model of ecosystems is developed. The model begins with the general class of systems known as state-determined systems, in which the time-derivative of each state variable is a function of some subset of the set of all system state variables and .environmental parameters. A formal basis is presented for considering the steady-state behavior of such systems in terms of isoclines, drawing upon the fields of graph theory, linear algebra, and differential equations. The simplifying capabilities of hierarchy theory are invoked to mitigate the adverse effects of model complexity. Like the theory of isocline analysis, the particular formulation of hierarchy theory presented is phrased in graph-theoretic terms, enabling the model to be developed as a technique for analyzing the steady-state behavior of hierarchical systems. The role of inter-level time scale heterogeneity in hierarchical organization is discussed. As an illustration of its ability to portray the behavior of spatially-nested hierarchies, the model is used to provide a perspective on data from the climax vegetation of the Great Smoky Mountains. The effects of time scale heterogeneity are also illustrated by using the model to organize data sets from several vegetation/avian communities across the United States. The vegetation is taken to behave with a lower characteristic frequency than the relatively rapidly-developing avian subcommunity, thus constraining the latter in a hierarchical fashion. In order to understand in a more general way the role such a model might play in advancing ecological understanding, a broad framework is presented for analyzing the role of conceptual structures in science and the place of models in these structures. A view of models as scientific metaphors is advanced as an alternative to the pictorial/realist interpretation of models. Given this understanding of models in general, the proposed model and its underlying assumptions are compared and contrasted with a set of four partial conceptual structures drawn from the fields of systems ecology, plant ecology, natural resource economics, and organismic systems theory.
Download or read book Hierarchy written by T. F. H. Allen and published by University of Chicago Press. This book was released on 2017-11-10 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecosystems are incredibly complex, non-linear structures and self-organized entities; they cannot be described by simple models or by statistical approaches. Within each ecosystem are scores of individuals interacting continuously with others and with their biotic and abiotic surroundings, over vast geographic spaces, and over varying time scales as well. To approach the enormity of this complexity, ecologists have developed tools to simplify and aggregate information, and among them is Hierarchy Theory. Instead of analyzing the whole structure to understand the functions of the system, Hierarchy Theory analyzes hierarchical levels only and the interactions between them. It draws upon two different paradigms of complexity, reductionism and holism, adapting the most useful features of each into a viable means of studying ecosystems. It reduces the amount of data the researcher has to deal with, and it explicitly considers the relevant entities and interconnections of a larger complex system according to a specific research question. Originally published in 1982, Hierarchy was the first book to apply the tool to ecological systems. In the three decades since its publication, the work has influenced myriad large scale research initiatives in ecology, and this new, thoroughly revised edition reflects the assimilation of the theory in ecological research, and its successful application to the understanding of complex systems.
Author :Franz Hölker Publisher :Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften ISBN 13 :9783631389249 Total Pages :0 pages Book Rating :4.3/5 (892 download)
Book Synopsis Scales, Hierarchies and Emergent Properties in Ecological Models by : Franz Hölker
Download or read book Scales, Hierarchies and Emergent Properties in Ecological Models written by Franz Hölker and published by Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften. This book was released on 2002 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical and computational approaches provide powerful tools in the study of problems in population biology and ecosystem science. Recent analytical advances, coupled with the enhanced potential of high-speed computation, have opened up new sights and presented new challenges especially in those fields of ecological theory which met methodological restrictions in the past: For many years scales and hierarchies have been considered an important research topic in ecology. Nevertheless, the prevailing methodological constraints frequently reduced the analysis to conceptual considerations. Conceptual structuring remains to be the primary practical contribution of scale and hierarchy to the development of ecological theory. In this volume we attempt to demonstrate to what extent this is currently changing. The application of models which are capable to represent precisely the relations of different scales and integration levels have made a remarkable progress and let us observe how a wide range of emergent properties can be analysed in the output of ecological models. By linking empirical findings and similar model specifications with the implementation of self-organisation processes on the level of model components, the analytical and synthetic power of modelling can be extended to a new, synergistic level. The contributions of this volume provide background, examples and current results. The volume starts with concept articles, then presents an example of artificial networks, provides papers concerning genetic aspects and ends with articles dealing with botanical features.
Book Synopsis Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS by : Marc Kéry
Download or read book Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS written by Marc Kéry and published by Academic Press. This book was released on 2015-11-14 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1 serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields. Provides a synthesis of important classes of models about distribution, abundance, and species richness while accommodating imperfect detection Presents models and methods for identifying unmarked individuals and species Written in a step-by-step approach accessible to non-statisticians and provides fully worked examples that serve as a template for readers' analyses Includes companion website containing data sets, code, solutions to exercises, and further information
Author :Charles Draper William Canham Publisher :Princeton University Press ISBN 13 :9780691092898 Total Pages :500 pages Book Rating :4.0/5 (928 download)
Book Synopsis Models in Ecosystem Science by : Charles Draper William Canham
Download or read book Models in Ecosystem Science written by Charles Draper William Canham and published by Princeton University Press. This book was released on 2003-11-30 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative models are crucial to almost every area of ecosystem science. They provide a logical structure that guides and informs empirical observations of ecosystem processes. They play a particularly crucial role in synthesizing and integrating our understanding of the immense diversity of ecosystem structure and function. Increasingly, models are being called on to predict the effects of human actions on natural ecosystems. Despite the widespread use of models, there exists intense debate within the field over a wide range of practical and philosophical issues pertaining to quantitative modeling. This book--which grew out of a gathering of leading experts at the ninth Cary Conference--explores those issues. The book opens with an overview of the status and role of modeling in ecosystem science, including perspectives on the long-running debate over the appropriate level of complexity in models. This is followed by eight chapters that address the critical issue of evaluating ecosystem models, including methods of addressing uncertainty. Next come several case studies of the role of models in environmental policy and management. A section on the future of modeling in ecosystem science focuses on increasing the use of modeling in undergraduate education and the modeling skills of professionals within the field. The benefits and limitations of predictive (versus observational) models are also considered in detail. Written by stellar contributors, this book grants access to the state of the art and science of ecosystem modeling.
Book Synopsis Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS by : Marc Kery
Download or read book Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS written by Marc Kery and published by Academic Press. This book was released on 2020-10-10 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal distribution, also focusing on the complex and more advanced models currently available. The book explains all procedures in the context of hierarchical models that represent a unified approach to ecological research, thus taking the reader from design, through data collection, and into analyses using a very powerful way of synthesizing data. Makes ecological modeling accessible to people who are struggling to use complex or advanced modeling programs Synthesizes current ecological models and explains how they are inter-connected Contains numerous examples throughout the book, walking the reading through scenarios with both real and simulated data Provides an ideal resource for ecologists working in R software and in BUGS software for more flexible Bayesian analyses
Book Synopsis Models for Ecological Data by : James S. Clark
Download or read book Models for Ecological Data written by James S. Clark and published by Princeton University Press. This book was released on 2020-10-06 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to understand and exploit powerful new statistical tools for making sense of ecological processes. In Models for Ecological Data, James Clark introduces ecologists to these modern methods in modeling and computation. Assuming only basic courses in calculus and statistics, the text introduces readers to basic maximum likelihood and then works up to more advanced topics in Bayesian modeling and computation. Clark covers both classical statistical approaches and powerful new computational tools and describes how complexity can motivate a shift from classical to Bayesian methods. Through an available lab manual, the book introduces readers to the practical work of data modeling and computation in the language R. Based on a successful course at Duke University and National Science Foundation-funded institutes on hierarchical modeling, Models for Ecological Data will enable ecologists and other environmental scientists to develop useful models that make sense of ecological data. Consistent treatment from classical to modern Bayes Underlying distribution theory to algorithm development Many examples and applications Does not assume statistical background Extensive supporting appendixes Lab manual in R is available separately
Book Synopsis Transmutations Across Hierarchical Levels. [Development of Large-scale Ecological Models]. by :
Download or read book Transmutations Across Hierarchical Levels. [Development of Large-scale Ecological Models]. written by and published by . This book was released on 1977 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of large-scale ecological models depends implicitly on a concept known as hierarchy theory which views biological systems in a series of hierarchical levels (i.e., organism, population, trophic level, ecosystem). The theory states that an explanation of a biological phenomenon is provided when it is shown to be the consequence of the activities of the system's components, which are themselves systems in the next lower level of the hierarchy. Thus, the behavior of a population is explained by the behavior of the organisms in the population. The initial step in any modeling project is, therefore, to identify the system components and the interactions between them. A series of examples of transmutations in aquatic and terrestrial ecosystems are presented to show how and why changes occur. The types of changes are summarized and possible implications of transmutation for hierarchy theory, for the modeler, and for the ecological theoretician are discussed.
Book Synopsis Ecological Models by : Jay Odenbaugh
Download or read book Ecological Models written by Jay Odenbaugh and published by Cambridge University Press. This book was released on 2019-10-10 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, we consider three questions. What are ecological models? How are they tested? How do ecological models inform environmental policy and politics? Through several case studies, we see how these representations which idealize and abstract can be used to explain and predict complicated ecological systems. Additionally, we see how they bear on environmental policy and politics.
Book Synopsis The Theory of Ecology by : Samuel M. Scheiner
Download or read book The Theory of Ecology written by Samuel M. Scheiner and published by University of Chicago Press. This book was released on 2011-07-15 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Fundamentals of Ecological Modelling by : S.E. Jorgensen
Download or read book Fundamentals of Ecological Modelling written by S.E. Jorgensen and published by Elsevier. This book was released on 2001-08-14 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a thoroughly revised and updated edition of an authoritative introduction to ecological modelling. Sven Erik Jørgensen, Editor-in-Chief of the journal Ecological Modelling, and Giuseppe Bendoricchio, Professor of Environmental Modelling at the University of Padova, Italy, offer compelling insights into the subject. This volume explains the concepts and processes involved in ecological modelling, presents the latest developments in the field and provides readers with the tools to construct their own models. The Third Edition features:• A detailed discussion and step-by-step outline of the modelling procedure.• An account of different model types including overview tables, examples and illustrations.• A comprehensive presentation of the submodels and unit processes used in modelling. • In-depth descriptions of the latest modelling techniques.• Structured exercises at the end of each chapter. • Three mathematical appendices and a subject index. This practical and proven book very effectively combines the theory, methodology and applications of ecological modelling. The new edition is an essential, up-to-date guide to a rapidly growing field.
Book Synopsis Models in Ecology by : John Maynard-Smith
Download or read book Models in Ecology written by John Maynard-Smith and published by Cambridge University Press. This book was released on 1974-01-17 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is aimed at anyone with a serious interest in ecology. Ecological models of two kinds are dealt with: mathematical models of a strategic kind aimed at an understanding of the general properties of ecosystems and laboratory models designed with the same aim in view. The mathematical and experimental models illuminate one another. A strength of the account is that although there is a good deal of mathematics, Professor Maynard Smith has concentrated on making clear the assumptions behind the mathematics and the conclusions to be drawn. Proofs and derivations have been omitted as far as possible. The book is therefore comprehensible to anyone with a minimal familiarity with mathematical notation. This book was written in the twin convictions that ecology will not come of age until it has a sound theoretical basis and there is a long way to go before that state of affairs is reached.
Book Synopsis Evolutionary Theory by : Niles Eldredge
Download or read book Evolutionary Theory written by Niles Eldredge and published by University of Chicago Press. This book was released on 2016-09-23 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: The natural world is infinitely complex and hierarchically structured, with smaller units forming the components of progressively larger systems: molecules make up cells, cells comprise tissues and organs that are, in turn, parts of individual organisms, which are united into populations and integrated into yet more encompassing ecosystems. In the face of such awe-inspiring complexity, there is a need for a comprehensive, non-reductionist evolutionary theory. Having emerged at the crossroads of paleobiology, genetics, and developmental biology, the hierarchical approach to evolution provides a unifying perspective on the natural world and offers an operational framework for scientists seeking to understand the way complex biological systems work and evolve. Coedited by one of the founders of hierarchy theory and featuring a diverse and renowned group of contributors, this volume provides an integrated, comprehensive, cutting-edge introduction to the hierarchy theory of evolution. From sweeping historical reviews to philosophical pieces, theoretical essays, and strictly empirical chapters, it reveals hierarchy theory as a vibrant field of scientific enterprise that holds promise for unification across the life sciences and offers new venues of empirical and theoretical research. Stretching from molecules to the biosphere, hierarchy theory aims to provide an all-encompassing understanding of evolution and—with this first collection devoted entirely to the concept—will help make transparent the fundamental patterns that propel living systems.
Book Synopsis Scaling in Ecology with a Model System by : Aaron Ellison
Download or read book Scaling in Ecology with a Model System written by Aaron Ellison and published by Princeton University Press. This book was released on 2021-08-03 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking approach to scale and scaling in ecological theory and practice Scale is one of the most important concepts in ecology, yet researchers often find it difficult to find ecological systems that lend themselves to its study. Scaling in Ecology with a Model System synthesizes nearly three decades of research on the ecology of Sarracenia purpurea—the northern pitcher plant—showing how this carnivorous plant and its associated food web of microbes and macrobes can inform the challenging question of scaling in ecology. Drawing on a wealth of findings from their pioneering lab and field experiments, Aaron Ellison and Nicholas Gotelli reveal how the Sarracenia microecosystem has emerged as a model system for experimental ecology. Ellison and Gotelli examine Sarracenia at a hierarchy of spatial scales—individual pitchers within plants, plants within bogs, and bogs within landscapes—and demonstrate how pitcher plants can serve as replicate miniature ecosystems that can be studied in wetlands throughout the United States and Canada. They show how research on the Sarracenia microecosystem proceeds much more rapidly than studies of larger, more slowly changing ecosystems such as forests, grasslands, lakes, or streams, which are more difficult to replicate and experimentally manipulate. Scaling in Ecology with a Model System offers new insights into ecophysiology and stoichiometry, demography, extinction risk and species distribution models, food webs and trophic dynamics, and tipping points and regime shifts.
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