December 2, 2020

Download Ebook Free Models Of The Ecological Hierarchy

Models of the Ecological Hierarchy

Models of the Ecological Hierarchy
Author : Anonim
Publisher : Newnes
Release Date : 2012-12-31
Category : Science
Total pages :594
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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

Hierarchical Modeling and Inference in Ecology

Hierarchical Modeling and Inference in Ecology
Author : J. Andrew Royle,Robert M. Dorazio
Publisher : Elsevier
Release Date : 2008-10-15
Category : Science
Total pages :464
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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

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS
Author : Marc Kery,J. Andrew Royle
Publisher : Academic Press
Release Date : 2020-10-10
Category : Nature
Total pages :820
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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 for people who are struggling to use complex or advanced modeling programs Synthesizes current ecological models and explains how they are inter-connected Contains examples throughout the book, walking the reading through scenarios with both real and simulated data Presents an ideal resource for ecologists working in R, an open source version of S known for its exceptional ecology analyses, and in BUGS for more flexible Bayesian analyses

Introduction to Hierarchical Bayesian Modeling for Ecological Data

Introduction to Hierarchical Bayesian Modeling for Ecological Data
Author : Eric Parent,Etienne Rivot
Publisher : CRC Press
Release Date : 2012-08-21
Category : Mathematics
Total pages :427
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Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of data. It also helps readers get started on building their own statistical models. The text begins with simple models that progressively become more complex and realistic through explanatory covariates and intermediate hidden states variables. When fitting the models to data, the authors gradually present the concepts and techniques of the Bayesian paradigm from a practical point of view using real case studies. They emphasize how hierarchical Bayesian modeling supports multidimensional models involving complex interactions between parameters and latent variables. Data sets, exercises, and R and WinBUGS codes are available on the authors’ website. This book shows how Bayesian statistical modeling provides an intuitive way to organize data, test ideas, investigate competing hypotheses, and assess degrees of confidence of predictions. It also illustrates how conditional reasoning can dismantle a complex reality into more understandable pieces. As conditional reasoning is intimately linked with Bayesian thinking, considering hierarchical models within the Bayesian setting offers a unified and coherent framework for modeling, estimation, and prediction.

Analysis of Ecological Systems: State-of-the-Art in Ecological Modelling

Analysis of Ecological Systems: State-of-the-Art in Ecological Modelling
Author : W.K. Lauenroth,G.V. Skogerboe,M. Flug
Publisher : Elsevier
Release Date : 2013-10-22
Category : Science
Total pages :995
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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.

Developments in Environmental Modelling

Developments in Environmental Modelling
Author : S.E. Jorgensen,M.J. Gromiec
Publisher : Elsevier
Release Date : 2016-04-20
Category : Science
Total pages :409
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The use of models to assess water quality is becoming increasingly important worldwide. In order to be able to develop a good model, it is necessary to have a good quantitative and ecological description of physical, chemical and biological processes in ecosystems. Such descriptions may be called ``submodels''. This book presents the most important, but not all, submodels applied in water quality modelling. Each chapter deals with a specific physical process and covers its importance, the most applicable submodels (and how to select one), parameter values and their determination, and future research needs. The book will be an excellent reference source for environmental engineers, ecological modellers and all those interested in the modelling of water quality systems.

Organizational Evolution and Strategic Management

Organizational Evolution and Strategic Management
Author : Rodolphe Durand
Publisher : SAGE
Release Date : 2006-04-25
Category : Business & Economics
Total pages :200
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`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. - An associated web site with further information can be found at: http://studies.hec.fr/web/durand

Introduction to Hierarchical Bayesian Modeling for Ecological Data

Introduction to Hierarchical Bayesian Modeling for Ecological Data
Author : Eric Parent,Etienne Rivot
Publisher : CRC Press
Release Date : 2012-08-21
Category : Mathematics
Total pages :427
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Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of data. It also helps readers get started on building their own statistical models. The text begins with simple models that progressively become more complex and realistic through explanatory covariates and intermediate hidden states variables. When fitting the models to data, the authors gradually present the concepts and techniques of the Bayesian paradigm from a practical point of view using real case studies. They emphasize how hierarchical Bayesian modeling supports multidimensional models involving complex interactions between parameters and latent variables. Data sets, exercises, and R and WinBUGS codes are available on the authors’ website. This book shows how Bayesian statistical modeling provides an intuitive way to organize data, test ideas, investigate competing hypotheses, and assess degrees of confidence of predictions. It also illustrates how conditional reasoning can dismantle a complex reality into more understandable pieces. As conditional reasoning is intimately linked with Bayesian thinking, considering hierarchical models within the Bayesian setting offers a unified and coherent framework for modeling, estimation, and prediction.

Land Use

Land Use
Author : J.R. O'Callaghan
Publisher : Springer Science & Business Media
Release Date : 1996-09-30
Category : Science
Total pages :200
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This book pioneers a spatial approach to the problems of land use by bringing together models in economics, ecology, and hydrology, and summarizes the results of innovative research funded by the United Kingdom’s Natural Environment Research Council (NERC) and Economic and Social Research Council (ESRC).

The Wildlife Techniques Manual

The Wildlife Techniques Manual
Author : Nova J. Silvy
Publisher : Johns Hopkins University Press
Release Date : 2020-07-28
Category : Science
Total pages :1400
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This deft and thorough update ensures that The Wildlife Techniques Manual will remain an indispensable resource, one that professionals and students in wildlife biology, conservation, and management simply cannot do without.

Hierarchical Modelling for the Environmental Sciences

Hierarchical Modelling for the Environmental Sciences
Author : James S. Clark,Alan E. Gelfand
Publisher : OUP Oxford
Release Date : 2006-05-04
Category : Science
Total pages :216
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New statistical tools are changing the ways in which scientists analyze and interpret data and models. Many of these are emerging as a result of the wide availability of inexpensive, high speed computational power. In particular, hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences. Models have developed rapidly, and there is now a requirement for a clear exposition of the methodology through to application for a range of environmental challenges.

Ecology of Hierarchical Landscapes

Ecology of Hierarchical Landscapes
Author : Jiquan Chen
Publisher : Nova Publishers
Release Date : 2006
Category : Nature
Total pages :311
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The idea for this book grew out of: (1) the realisation that development of the theory of landscape ecology has now reached the point where rigorous field work is required to validate models, test assumptions and ideas of scaling theory, and refine our understanding of landscape features and their delineation; (2) the relative scarcity of compilations that have examined the role of field research or interdisciplinary management applications in advancing the science of landscape ecology; and (3) the increasing amount of information coming out of the Chequamegon Integrated Field Project (CIFP) on relevant topics. This book synthesises the experiences and lessons learned from the CIFP project and other relevant landscape studies in an attempt to demonstrate the utility of field studies and emerging technology to the advancement of the science. This book is organised to synthesise and update knowledge on research topics mentioned previously, with an emphasis on ecological consequences (i.e., implications for ecological function) of the approach to and understanding of these topics across levels of the ecological hierarchy.

Decision Making in Natural Resource Management

Decision Making in Natural Resource Management
Author : Michael J. Conroy,James T. Peterson
Publisher : John Wiley & Sons
Release Date : 2013-01-03
Category : Science
Total pages :480
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This book is intended for use by natural resource managers andscientists, and students in the fields of natural resourcemanagement, ecology, and conservation biology, who are confrontedwith complex and difficult decision making problems. The book takesreaders through the process of developing a structured approach todecision making, by firstly deconstructing decisions into componentparts, which are each fully analyzed and then reassembled to form aworking decision model. The book integrates common-senseideas about problem definitions, such as the need for decisions tobe driven by explicit objectives, with sophisticated approaches formodeling decision influence and incorporating feedback frommonitoring programs into decision making via adaptive management.Numerous worked examples are provided for illustration, along withdetailed case studies illustrating the authors’ experience inapplying structured approaches. There is also a series of detailedtechnical appendices. An accompanying website providescomputer code and data used in the worked examples. Additional resources for this book can be foundat: ahref="http://www.wiley.com/go/conroy/naturalresourcemanagement"www.wiley.com/go/conroy/naturalresourcemanagement/a.

Ecosystem Management

Ecosystem Management
Author : United States. Environmental Protection Agency. Ecological Processes and Effects Committee
Publisher : Unknown
Release Date : 1995
Category : Ecosystem management
Total pages :129
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Nested Ecology

Nested Ecology
Author : Edward T. Wimberley
Publisher : JHU Press
Release Date : 2009-05-29
Category : Nature
Total pages :245
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Nested Ecology provides a pragmatic and functional approach to realizing a sustainable environmental ethic. Edward T. Wimberley asserts that a practical ecological ethic must focus on human decision making within the context of larger social and environmental systems. Think of a set of mixing bowls, in which smaller bowls sit within larger ones. Wimberley sees the world in much the same way, with personal ecologies embedded in social ecologies that in turn are nested within natural ecologies. Wimberley urges a complete reconceptualization of the human place in the ecological hierarchy. Going beyond the physical realms in which people live and interact, he extends the concept of ecology to spirituality and the “ecology of the unknown.” In doing so, Wimberley defines a new environmental philosophy and a new ecological ethic.