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Book Introduction to Ecological Modelling

Download or read book Introduction to Ecological Modelling written by Mike Gillman and published by Wiley-Blackwell. This book was released on 1997-04-21 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: At present, most books on ecological modelling rely on very complex mathematics, resulting in students and researchers shying away from investigating the potential uses of ecological models and their methods of construction. This new book aims to open up this exciting area to a much wider audience. Assuming only basic mathematical knowledge, the text uses case studies to show how a relatively small set of techniques of model construction can be used in a wide range of important applications. Researchers will find it an invaluable guide to using ecological models in their work. Uses case studies to clearly demonstrate the applications of ecological models. Avoids complex mathematics. A practical how-to guide for ecological researchers. Sample ecological models available via this web site.

Book Modelling Complex Ecological Dynamics

Download or read book Modelling Complex Ecological Dynamics written by Fred Jopp and published by Springer Science & Business Media. This book was released on 2011-02-11 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model development is of vital importance for understanding and management of ecological processes. Identifying the complex relationships between ecological patterns and processes is a crucial task. Ecological modelling—both qualitatively and quantitatively—plays a vital role in analysing ecological phenomena and for ecological theory. This textbook provides a unique overview of modelling approaches. Representing the state-of-the-art in modern ecology, it shows how to construct and work with various different model types. It introduces the background of each approach and its application in ecology. Differential equations, matrix approaches, individual-based models and many other relevant modelling techniques are explained and demonstrated with their use. The authors provide links to software tools and course materials. With chapters written by leading specialists, “Modelling Complex Ecological Dynamics” is an essential contribution to expand the qualification of students, teachers and scientists alike.

Book A Practical Guide to Ecological Modelling

Download or read book A Practical Guide to Ecological Modelling written by Karline Soetaert and published by Springer Science & Business Media. This book was released on 2008-10-21 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical modelling is an essential tool in present-day ecological research. Yet for many ecologists it is still problematic to apply modelling in their research. In our experience, the major problem is at the conceptual level: proper understanding of what a model is, how ecological relations can be translated consistently into mathematical equations, how models are solved, steady states calculated and interpreted. Many textbooks jump over these conceptual hurdles to dive into detailed formulations or the mathematics of solution. This book attempts to fill that gap. It introduces essential concepts for mathematical modelling, explains the mathematics behind the methods, and helps readers to implement models and obtain hands-on experience. Throughout the book, emphasis is laid on how to translate ecological questions into interpretable models in a practical way. The book aims to be an introductory textbook at the undergraduate-graduate level, but will also be useful to seduce experienced ecologists into the world of modelling. The range of ecological models treated is wide, from Lotka-Volterra type of principle-seeking models to environmental or ecosystem models, and including matrix models, lattice models and sequential decision models. All chapters contain a concise introduction into the theory, worked-out examples and exercises. All examples are implemented in the open-source package R, thus taking away problems of software availability for use of the book. All code used in the book is available on a dedicated website.

Book Fundamentals of Ecological Modelling

Download or read book Fundamentals of Ecological Modelling written by S.E. Jorgensen and published by Elsevier. This book was released on 2011-01-10 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Ecological Modelling: Applications in Environmental Management and Research, Fourth Edition, provides a comprehensive discussion of the fundamental principles of ecological modeling. The first two editions of this book (published in 1986 and 1994) focused on the roots of the discipline the four main model types that dominated the field 30-40 years ago: (1) dynamic biogeochemical models; (2) population dynamic models; (3) ecotoxicological models; and (4) steady-state biogeochemical and energy models. The third edition focused on the mathematical formulations of ecological processes that are included in ecological models. This fourth edition uses the four model types previously listed as the foundation and expands the latest model developments in spatial models, structural dynamic models, and individual-based models. As these seven types of models are very different and require different considerations in the model development phase, a separate chapter is devoted to the development of each of the model types. Throughout the text, the examples given from the literature emphasize the application of models for environmental management and research. - Presents the most commonly used model types with a step-by-step outline of the modeling procedure used for each - Shows readers through an illustrated example of how to use each model in research and management settings - New edition is revised to include only essential theory with a focus on applications - Includes case studies, illustrations, and exercises (case study of an ecological problem with full illustration on how to solve the problem)

Book Ecological Models and Data in R

Download or read book Ecological Models and Data in R written by Benjamin M. Bolker and published by Princeton University Press. This book was released on 2008-07-21 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Handbook of Ecological Modelling and Informatics

Download or read book Handbook of Ecological Modelling and Informatics written by Sven Erik Jørgensen and published by WIT Press. This book was released on 2009-01-30 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book gives a comprehensive overview of all available types of ecological models. It is the first book of its kind that gives an overview of different model types and will be of interest to all those involved in ecological and environmental modelling and ecological informatics.

Book Ecological Modelling

    Book Details:
  • Author : Sven Erik Jørgensen
  • Publisher : WIT Press
  • Release : 2009-09-10
  • ISBN : 1845644085
  • Pages : 209 pages

Download or read book Ecological Modelling written by Sven Erik Jørgensen and published by WIT Press. This book was released on 2009-09-10 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addressing the basic concepts of ecological modelling, Jorgensen provides the user with a tool which can assist in the understanding of what various model types/network calculations can do, as well as outlining when to use which type as a tool to solve a specific problem.

Book Ecological Modeling

    Book Details:
  • Author : Hsiao-Hsuan Wang
  • Publisher : Elsevier
  • Release : 2019-08-14
  • ISBN : 0444641645
  • Pages : 306 pages

Download or read book Ecological Modeling written by Hsiao-Hsuan Wang and published by Elsevier. This book was released on 2019-08-14 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological Modeling: An Introduction to the Art and Science of Modeling Ecological Systems, Volume 31, presents the skills needed to appropriately evaluate and use ecological models. Illustrated throughout with practical examples, the book discusses ecological modeling as both an art and a science, balancing the qualitative (artistic) side, with its foundations in common sense and modeling practice, against the quantitative (scientific) aspects of the modeling process. This book draws on the authors’ extensive experience in both teaching and using these techniques to provide readers with a practical, user-friendly guide that supports and encourages the appropriate, effective use of these tools. Provides readers with a commonsense understanding of the systems perspective and its foundations in general system theory Highlights the importance of a solid understanding of the qualitative aspects of the modeling process Facilitates the ability to appropriately evaluate and use ecological models Supports learning with a variety of simple examples to instill the desire and confidence to embark upon the modeling experience

Book Ecological Modeling

    Book Details:
  • Author : William E. Grant
  • Publisher : John Wiley & Sons
  • Release : 2011-08-26
  • ISBN : 1444359932
  • Pages : 178 pages

Download or read book Ecological Modeling written by William E. Grant and published by John Wiley & Sons. This book was released on 2011-08-26 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological Modeling:A Commonsense Approach to Theory and Practice explores how simulation modeling and its new ecological applications can offer solutions to complex natural resource management problems. This is a practical guide for students, teachers, and professional ecologists. Examines four phases of the modeling process: conceptual model formulation, quantitative model specification, model evaluation, and model use Provides useful building blocks for constructing systems simulation models Includes a format for reporting the development and use of simulation models Offers an integrated systems perspective for students, faculty, and professionals Features helpful insights from the author, gained over 30 years of university teaching "I can strongly recommend the book as textbook for all courses in population dynamic modeling particularly when the course is planned for the second or third year of a bachelor study in ecology, environmental science or ecological engineering. It uncovers very clearly for the readers the scientific idea and thinking behind modeling and all the necessary steps in the development of models." Ecological Modeling Journal, 2009

Book Environmental Modeling

Download or read book Environmental Modeling written by Mike J. Barnsley and published by CRC Press. This book was released on 2007-02-13 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly used to represent climatic, biogeochemical, and ecological systems, computer modeling has become an important tool that should be in every environmental professional’s toolbox. Environmental Modeling: A Practical Introduction is just what it purports to be, a practical introduction to the various methods, techniques, and skills required for computerized environmental modeling. Exploring the broad arena of environmental modeling, the book demonstrates how to represent an environmental problem in conceptual terms, formalize the conceptual model using mathematical expressions, convert the mathematical model into a program that can be run on a desktop or laptop computer, and examine the results produced by the computational model. Equally important, the book imparts skills that allow you to develop, implement, and experiment with a range of computerized environmental models. The emphasis is on active engagement in the modeling process rather than on passive learning about a suite of well-established models. The author takes a practical approach throughout, one that does not get bogged down in the details of the underlying mathematics and that encourages learning through “hands on” experimentation. He provides a set of software tools and data sets that you can use to work through the various examples and exercises presented in each chapter, as well as presentational material and handouts for course tutors. Comprehensive and up-to-date, the book discusses how computational models can be used to represent environmental systems and illustrates how such models improve understanding of the ways in which environmental systems function.

Book Models for Ecological Data

    Book Details:
  • Author : James S. Clark
  • Publisher : Princeton University Press
  • Release : 2020-10-06
  • ISBN : 0691220123
  • Pages : 634 pages

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 Ecological Model Types

Download or read book Ecological Model Types written by and published by Elsevier. This book was released on 2016-10-28 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological Model Types brings an understanding on how to quantitatively analyze complex and dynamic ecosystems with the tools available today. Ecosystem studies widely use the notions of order, complexity, randomness, and organization, and are used interchangeably in literature, which causes much confusion. Better models synthesize our knowledge on ecosystems and their environmental problems, in contrast to statistical analysis, which only reveal the relationships between the data. This book brings together experts on ecological models to create a definitive work on how to understand our complex Earth. - Bridges the gap between statistical analysis and synthesis of data, enhancing our understanding about ecosystems and their environmental problems - Helps readers understand complex ecosystems by walking through the best modeling options to analyze and predict environmental effects - Provides a detailed review of 14 model types, covering the breadth of options available for analysis at this time

Book Fundamentals of Ecological Modelling

Download or read book Fundamentals of Ecological Modelling written by Sven Erik Jørgensen and published by Elsevier. This book was released on 2001 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cover -- Contents -- Preface -- Acknowledgements -- Chapter 1. Introduction -- 1.1 Physical and Mathematical Models -- 1.2 Models as a Management Tool -- 1.3 Models as a Scientific Tool -- 1.4 Models and Holism -- 1.5 The Ecosystem as an Object for Research -- 1.6 Outline of the Book -- 1.7 The Development of Ecological and Environmental Models -- 1.8 State of the Art in the Application of Models -- Chapter 2. Concepts of Modelling -- 2.1 Introduction -- 2.2 Modelling Elements -- 2.3 The Modelling Procedure -- 2.4 Types of Model -- 2.5 Selection of Model Type -- 2.6 Selection of Model Complexity and Structure -- 2.7 Verification -- 2.8 Sensitivity Analysis -- 2.9 Parameter Estimation -- 2.10 Validation -- 2.11 Ecological Modelling and Quantum Theory -- 2.12 Modelling Constraints -- Problems -- Chapter 3. Ecological Processes -- 3A.1 Space and Time Resolution -- 3A.2 Mass Transport -- 3A.3 Mass Balance -- 3A.4 Energetic Factors -- 3A.5 Settling and Resuspension -- 3B.1 Chemical Reaction ...

Book Ecological Modelling and Ecophysics

Download or read book Ecological Modelling and Ecophysics written by Hugo Fort and published by . This book was released on 2024-04-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on use-inspired basic science by connecting theoretical methods and mathematical developments in ecology with practical real-world problems, either in production or conservation.

Book Thermodynamics and Ecological Modelling

Download or read book Thermodynamics and Ecological Modelling written by Sven E. Jorgensen and published by CRC Press. This book was released on 2018-10-03 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thermodynamics is used increasingly in ecology to understand the system properties of ecosystems because it is a basic science that describes energy transformation from a holistic view. In the last decade, many contributions to ecosystem theory based on thermodynamics have been published, therefore an important step toward integrating these theories and encouraging a more wide spread use of them is to present them in one volume. An ecosystem consists of interdependent living organisms that are also interdependent with their environment, all of which are involved in a constant transfer of energy and mass within a general state of equilibrium or dis-equilibrium. Thermodynamics can quantify exactly how "organized" or "disorganized" a system is - an extremely useful to know when trying to understand how a dynamic ecosystem is behaving. A part of the Environmental and Ecological (Math) Modeling series, Thermodynamics and Ecology is a book-length study - the first of its kind - of the current thinking on how an ecosystem can be explained and predicted in terms of its thermodynamical behavior. After the introductory chapters on the fundamentals of thermodynamics, the book explains how thermodynamic theory can be specifically applied to the "measurement" of an ecosystem, including the assessment of its state of entropy and enthalpy. Additionally, it will show economists how to put these theories to use when trying to quantify the movement of goods and services through another type of complex living system - a human society.

Book State of the Art in Ecological Modelling

Download or read book State of the Art in Ecological Modelling written by S. E. Jørgensen and published by Elsevier. This book was released on 2013-10-22 with total page 900 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-Art in Ecological Modelling covers the proceedings of the Conference on Ecological Modeling, held in Copenhagen, Denmark from August 28 to September 2, 1978. The book focuses on ecological modeling, particularly prey-predator models, lake and river models, toxic substances models, and holistic approaches to ecological modeling. The selection first discusses review presentations of ecological modeling, including river models, prey-predator models, application of graphical methods, and lake models. The application of microcosms in ecological modeling; water quality and irrigation in agriculture models; and distribution and effect of toxic substances models are also elaborated. The text then takes a look at the models of sea and coastal areas, atmospheric pollution, ecosystems in the lithosphere, and water management. The book surveys multi-species of planktons and nutrients model of lake eutrophication and modeling of vertical temperature distribution and its implication on biological processes in lakes. Topics include mathematical expression of multi-species of planktons and nutrients model in lake ecosystem; observation data on water quality and planktons; and models for vertical temperature distribution. The selection is a dependable reference for readers wanting to dig deeper into ecological modeling.

Book Introduction to Hierarchical Bayesian Modeling for Ecological Data

Download or read book Introduction to Hierarchical Bayesian Modeling for Ecological Data written by Eric Parent and published by CRC Press. This book was released on 2012-08-21 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.