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Models of the Ecological Hierarchy

Models of the Ecological Hierarchy
From Molecules to the Ecosphere

by Ferenc Jordán,Sven Erik Jorgensen

  • Publisher : Newnes
  • Release : 2012
  • Pages : 562
  • ISBN : 0444593969
  • Language : En, Es, Fr & De
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"Based on selected papers covering the presentations at the 7th European Conference on Ecological Modelling, organized by ISEM and hosted by The Microsoft Research--University of Trento Center for Computational and Systems Biology from 30 May to 2 June, 2011 in Riva del Garde, Italy"--P. xi.

Models of the Ecological Hierarchy

Models of the Ecological Hierarchy
From Molecules to the Ecosphere

by Ferenc Jordán,Sven Erik Jorgensen

  • Publisher : Newnes
  • Release : 2012
  • Pages : 562
  • ISBN : 0444593969
  • Language : En, Es, Fr & De
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"Based on selected papers covering the presentations at the 7th European Conference on Ecological Modelling, organized by ISEM and hosted by The Microsoft Research--University of Trento Center for Computational and Systems Biology from 30 May to 2 June, 2011 in Riva del Garde, Italy"--P. xi.

Hierarchical Modeling and Inference in Ecology

Hierarchical Modeling and Inference in Ecology
The Analysis of Data from Populations, Metapopulations and Communities

by J. Andrew Royle,Robert M. Dorazio

  • Publisher : Academic Press
  • Release : 2008
  • Pages : 444
  • ISBN : 9780123740977
  • Language : En, Es, Fr & De
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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
Volume 2: Dynamic and Advanced Models

by Marc Kery,J. Andrew Royle

  • Publisher : Academic Press
  • Release : 2020-10-10
  • Pages : 820
  • ISBN : 0128097272
  • Language : En, Es, Fr & De
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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
A Book

by Eric Parent,Etienne Rivot

  • Publisher : CRC Press
  • Release : 2012-08-21
  • Pages : 427
  • ISBN : 1584889195
  • Language : En, Es, Fr & De
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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.

Developments in Environmental Modelling

Developments in Environmental Modelling
A Book

by S.E. Jorgensen,M.J. Gromiec

  • Publisher : Elsevier
  • Release : 2016-04-20
  • Pages : 409
  • ISBN : 1483290808
  • Language : En, Es, Fr & De
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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.

Joint Species Distribution Modelling

Joint Species Distribution Modelling
With Applications in R

by Otso Ovaskainen,Nerea Abrego

  • Publisher : Cambridge University Press
  • Release : 2020-04-30
  • Pages : 371
  • ISBN : 1108492460
  • Language : En, Es, Fr & De
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A comprehensive account of joint species distribution modelling, covering statistical analyses in light of modern community ecology theory.

Ecological Models and Data in R

Ecological Models and Data in R
A Book

by Benjamin M. Bolker

  • Publisher : Princeton University Press
  • Release : 2008-07-01
  • Pages : 408
  • ISBN : 1400840902
  • Language : En, Es, Fr & De
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Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background--only basic calculus and statistics. Practical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language R Step-by-step instructions for fitting models to messy, real-world data Balanced view of different statistical approaches Wide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling) Techniques for data manipulation and graphical display Companion Web site with data and R code for all examples

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan
A Book

by Franzi Korner-Nievergelt,Tobias Roth,Stefanie von Felten,Jérôme Guélat,Bettina Almasi,Pius Korner-Nievergelt

  • Publisher : Academic Press
  • Release : 2015-04-04
  • Pages : 328
  • ISBN : 0128016787
  • Language : En, Es, Fr & De
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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions—including all R codes—that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types. Introduces Bayesian data analysis, allowing users to obtain uncertainty measurements easily for any derived parameter of interest Written in a step-by-step approach that allows for eased understanding by non-statisticians Includes a companion website containing R-code to help users conduct Bayesian data analyses on their own data All example data as well as additional functions are provided in the R-package blmeco

Bayesian Models

Bayesian Models
A Statistical Primer for Ecologists

by N. Thompson Hobbs,Mevin B. Hooten

  • Publisher : Princeton University Press
  • Release : 2015-08-04
  • Pages : 320
  • ISBN : 1400866553
  • Language : En, Es, Fr & De
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Bayesian modeling has become an indispensable tool for ecological research because it is uniquely suited to deal with complexity in a statistically coherent way. This textbook provides a comprehensive and accessible introduction to the latest Bayesian methods—in language ecologists can understand. Unlike other books on the subject, this one emphasizes the principles behind the computations, giving ecologists a big-picture understanding of how to implement this powerful statistical approach. Bayesian Models is an essential primer for non-statisticians. It begins with a definition of probability and develops a step-by-step sequence of connected ideas, including basic distribution theory, network diagrams, hierarchical models, Markov chain Monte Carlo, and inference from single and multiple models. This unique book places less emphasis on computer coding, favoring instead a concise presentation of the mathematical statistics needed to understand how and why Bayesian analysis works. It also explains how to write out properly formulated hierarchical Bayesian models and use them in computing, research papers, and proposals. This primer enables ecologists to understand the statistical principles behind Bayesian modeling and apply them to research, teaching, policy, and management. Presents the mathematical and statistical foundations of Bayesian modeling in language accessible to non-statisticians Covers basic distribution theory, network diagrams, hierarchical models, Markov chain Monte Carlo, and more Deemphasizes computer coding in favor of basic principles Explains how to write out properly factored statistical expressions representing Bayesian models

Perspectives in Ecological Theory

Perspectives in Ecological Theory
A Book

by Jonathan Roughgarden,Robert M May,Simon A. Levin

  • Publisher : Princeton University Press
  • Release : 2014-07-14
  • Pages : 404
  • ISBN : 1400860180
  • Language : En, Es, Fr & De
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This volume presents an overview of current accomplishments and future directions in ecological theory. The twenty-three chapters cover a broad range of important topics, from the physiology and behavior of individuals or groups of organisms, through population dynamics and community structure, to the ecology of ecosystems and the geochemical cycles of the entire biosphere. The authors focus on ways in which theory, whether expressed mathematically or verbally, can contribute to defining and solving fundamental problems in ecology. A second aim is to highlight areas where dialogue between theorists and empiricists is likely to be especially rewarding. The authors are R. M. Anderson, C. W. Clark, M. L. Cody, J. E. Cohen, P. R. Ehrlich, M. W. Feldman, M. E. Gilpin, L. J. Gross, M. P. Hassell, H. S. Horn, P. Kareiva, M.A.R. Koehl, S. A. Levin, R. M. May, L. D. Mueller, R. V. O'Neill, S. W. Pacala, S. L. Pimm, T. M. Powell, H. R. Pulliam, J. Roughgarden, W. H. Schlesinger, H. H. Shugart, S. M. Stanley, J. H. Steele, D. Tilman, J. Travis, and D. L. Urban. Originally published in 1989. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Encyclopedia of Ecology

Encyclopedia of Ecology
A Book

by Brian D. Fath

  • Publisher : Elsevier
  • Release : 2018-08-23
  • Pages : 2780
  • ISBN : 0444641300
  • Language : En, Es, Fr & De
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Encyclopedia of Ecology, Second Edition continues the acclaimed work of the previous edition published in 2008. It covers all scales of biological organization, from organisms, to populations, to communities and ecosystems. Laboratory, field, simulation modelling, and theoretical approaches are presented to show how living systems sustain structure and function in space and time. New areas of focus include micro- and macro scales, molecular and genetic ecology, and global ecology (e.g., climate change, earth transformations, ecosystem services, and the food-water-energy nexus) are included. In addition, new, international experts in ecology contribute on a variety of topics. Offers the most broad-ranging and comprehensive resource available in the field of ecology Provides foundational content and suggests further reading Incorporates the expertise of over 500 outstanding investigators in the field of ecology, including top young scientists with both research and teaching experience Includes multimedia resources, such as an Interactive Map Viewer and links to a CSDMS (Community Surface Dynamics Modeling System), an open-source platform for modelers to share and link models dealing with earth system processes

Models for Ecological Data

Models for Ecological Data
An Introduction

by James S. Clark

  • Publisher : Princeton University Press
  • Release : 2020-10-06
  • Pages : 632
  • ISBN : 0691220123
  • Language : En, Es, Fr & De
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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

General Technical Report PNW-GTR

General Technical Report PNW-GTR
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1998
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Bayesian Population Analysis Using WinBUGS

Bayesian Population Analysis Using WinBUGS
A Hierarchical Perspective

by Marc Kéry,Michael Schaub

  • Publisher : Academic Press
  • Release : 2012
  • Pages : 535
  • ISBN : 0123870208
  • Language : En, Es, Fr & De
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Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS, and its open-source sister OpenBugs, is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. Comprehensive and richly commented examples illustrate a wide range of models that are most relevant to the research of a modern population ecologist All WinBUGS/OpenBUGS analyses are completely integrated in software R Includes complete documentation of all R and WinBUGS code required to conduct analyses and shows all the necessary steps from having the data in a text file out of Excel to interpreting and processing the output from WinBUGS in R

Hierarchical Modelling for the Environmental Sciences

Hierarchical Modelling for the Environmental Sciences
Statistical Methods and Applications

by James Samuel Clark,Alan E. Gelfand

  • Publisher : Oxford University Press on Demand
  • Release : 2006
  • Pages : 205
  • ISBN : 019856967X
  • Language : En, Es, Fr & De
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New statistical tools are changing the way in which scientists analyze and interpret data and models. Hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide a consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complicated, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences.

Nonlinear Time Series Analysis of Water Quality and Ecological Dynamics

Nonlinear Time Series Analysis of Water Quality and Ecological Dynamics
A Book

by James Henry Dontje

  • Publisher : Unknown Publisher
  • Release : 1997
  • Pages : 226
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Analysis of Ecological Systems: State-of-the-Art in Ecological Modelling

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

by W.K. Lauenroth,G.V. Skogerboe,M. Flug

  • Publisher : Elsevier
  • Release : 2013-10-22
  • Pages : 995
  • ISBN : 0444597654
  • Language : En, Es, Fr & De
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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.

Nested Ecology

Nested Ecology
The Place of Humans in the Ecological Hierarchy

by Edward T. Wimberley

  • Publisher : JHU Press
  • Release : 2009-05-29
  • Pages : 245
  • ISBN : 0801892899
  • Language : En, Es, Fr & De
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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.

Encyclopedia of Ecology

Encyclopedia of Ecology
A Book

by Sven Erik Jørgensen,Brian D. Fath

  • Publisher : Unknown Publisher
  • Release : 2008
  • Pages : 4122
  • ISBN : 9780080454009
  • Language : En, Es, Fr & De
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The Encyclopedia of Ecology contains contributions from international experts on a diverse array of topics related to ecology. It provides current and comprehensive information on many themes, including behavioral ecology, ecological processes, ecological modeling, ecological engineering, ecological indicators, ecological informatics, ecosystems, ecotoxicology, evolutionary ecology, general ecology, global ecology, human ecology, and systems ecology. The online version includes extensive internal cross-referencing and dynamic linking to journal articles and abstract databases.