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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
A Hierarchical Concept of Ecosystems by Robert V. O'Neill Pdf
"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.
Hierarchical Modeling and Inference in Ecology by J. Andrew Royle,Robert M. Dorazio Pdf
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
Scales, Hierarchies and Emergent Properties in Ecological Models by Franz Hölker Pdf
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.
Author : T. F. H. Allen,Thomas B. Starr Publisher : University of Chicago Press Page : 424 pages File Size : 47,8 Mb Release : 2017-11-10 Category : Science ISBN : 9780226489681
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.
Integrated Regional Models by Peter Groffman,Gene E. Likens Pdf
Integrated regional models are conceptual and mathematical models that describe the physical environment, biological interactions, human decision-making, and human impact on the environment. Efforts are now being made to integrate regional models from the physical, biological and social sciences in order to respond to diverse environmental problems. This volume explores the latest research developments on processes operating at a variety of scales, including regions, and how scientists can combine their efforts to develop models linking biological, physical, and human systems. Data requirements for successful integrated regional models are identified and discussed. Chapters also consider methodological questions, such as whether to integrate disciplinary approaches at the beginning or the end of the modelling process, and whether integrated regional models should focus on specific regions or specific problems. The information in this volume will enable the reader to view problems such as coastal zone management, atmospheric pollution, non-point source pollution, commodity production in forested areas, and urban expansion in a broad, conceptual context. Researchers and graduate students in ecology, biology, geography and geology will benefit from this innovative approach to contemporary environmental problems.
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
Grassland structure and function by L.F. Huenneke,H.A. Mooney Pdf
The chapters in this volume are based on a opportumtles for studying the links between symposium, "California grasslands: structure abiotic and biotic components. and productivity", supported by the National The contributions in this volume illustrate Science Foundation. The primary objective of the links between population-level processes this symposium was to integrate the current and system-level phenomena in a well-studied understanding of controls on ecosystem struc community. Unfortunately, some areas of cur ture and function with the approaches of popu rent research (e.g., nutrient cycling) are under lation biology. The annual grasslands are represented in this volume. For other topics eminently suitable for experimental and manip (particularly the role of invertebrate con sumers), the lack of data from the annual grass ulative studies of ecosystem processes. The short lives and small stature of the component land brought a broader grassland perspective. plant species make experimental work far more Together, however, the contributions illustrate practical than in forests or even in perennial the importance of different ecological ap dominated prairies. The system's small-scale proaches in studying the controls on structure patchiness, and the obvious importance of and function of a complex system. the region's mediterranean climate in the life cycle of the annual vegetation, afford many L.F. Huenneke and H.A. Mooney Huenneke, L.F. and Mooney, H. (eds) Grassland Structure and Function: California Annual Grassland.
Analysis of Ecological Systems: State-of-the-Art in Ecological Modelling by W.K. Lauenroth,G.V. Skogerboe,M. Flug Pdf
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.
Introduction to Systems Ecology by Sven Erik Jorgensen Pdf
Possibly the first textbook to present a practically applicable ecosystems theory, Introduction to Systems Ecology helps readers understand how ecosystems work and how they react to disturbances. It demonstrates—with many examples and illustrations—how to apply the theory to explain observations and to make quantitative calculations and predictions. In this book, Sven Erik Jørgensen takes a first step toward integrating thermodynamics, biochemistry, hierarchical organization, and network theory into a holistic theory of systems ecology. The first part of the book covers the laws of thermodynamics and the basic biochemistry of living organisms, as well as the constraints they impose on ecosystems. To grow and develop, however, ecosystems have to evade these thermodynamic and biochemical constraints, so the second part of the book discusses the seven basic properties that enable ecosystems to grow, develop, and survive: They are open systems, far from thermodynamic equilibrium. They are organized hierarchically. They have a high diversity. They have high buffer capacities toward changes. Their components are organized in cooperative networks, which allows for sophisticated feedback, regulation mechanisms, and higher efficiencies. They contain an enormous amount of information embodied in genomes. They have emerging system properties. This timely textbook also looks at how systems ecology is applied in integrated environmental management, particularly in ecological modeling and engineering and in the assessment of ecosystem health using ecological indicators. Acknowledging that there is still much room for improvement, it will inspire ecologists to develop a stronger and more widely applicable ecosystem theory.
Organizational Evolution and Strategic Management by Rodolphe Durand Pdf
`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.
Scaling in Ecology with a Model System by Aaron Ellison,Nicholas J. Gotelli Pdf
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.
Stability and Complexity in Model Ecosystems by Anonim Pdf
What makes populations stabilize? What makes them fluctuate? Are populations in complex ecosystems more stable than populations in simple ecosystems? In 1973, Robert May addressed these questions in this classic book. May investigated the mathematical roots of population dynamics and argued-counter to most current biological thinking-that complex ecosystems in themselves do not lead to population stability. Stability and Complexity in Model Ecosystems played a key role in introducing nonlinear mathematical models and the study of deterministic chaos into ecology, a role chronicled in James Gleick's book Chaos. In the quarter century since its first publication, the book's message has grown in power. Nonlinear models are now at the center of ecological thinking, and current threats to biodiversity have made questions about the role of ecosystem complexity more crucial than ever. In a new introduction, the author addresses some of the changes that have swept biology and the biological world since the book's first publication.
Ecological Models and Data in R by Benjamin M. Bolker Pdf
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.
Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS by Marc Kéry,J. Andrew Royle Pdf
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