Last edited by Zulukazahn
Saturday, August 1, 2020 | History

7 edition of Ecological modeling found in the catalog.

Ecological modeling

William E. Grant

Ecological modeling

a common-sense approach to theory and practice

by William E. Grant

  • 28 Want to read
  • 37 Currently reading

Published by Blackwell in Malden, MA .
Written in English

    Subjects:
  • Ecology -- Mathematical models

  • Edition Notes

    Includes bibliographical references and index.

    StatementWilliam E. Grant & Todd M. Swannack.
    ContributionsSwannack, Todd M.
    Classifications
    LC ClassificationsQH541.15.M3 G735 2008
    The Physical Object
    Paginationp. cm.
    ID Numbers
    Open LibraryOL17962162M
    ISBN 109781405161688
    LC Control Number2007022239

    Book Description. 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 . The book focuses on correlative approaches known as ecological niche modeling, species distribution modeling, or habitat suitability modeling, which use associations between known occurrences of species and environmental variables to identify environmental conditions under which populations can be maintained.

    Introduction; 1. Ecological Modeling in a Resource Management Framework: An Introduction 2. Cleaner: The Lake George Model 3. A Discussion of CLEAN, the Aquatic Model of the Eastern Deciduous Forest Biome 4. The Delaware Estuary Model 5. Application of Mathematical Models of the Study, Monitoring and Management of the North Sea 6. "The chapters in this book detail several successful uses of ecological models in resource management. There are five pairs of chapters addressing important issues in ecological modeling, including barriers to the use of modeling in decision making, evolving approaches in the field, effective use of data, the toolkit approach to modeling, and the various scientific and .

      The material in the Handbook of Environmental and Ecological Modeling is logically arranged according to ecosystem. Each of the sixteen chapters of the handbook covers a particular ecosystem, and includes not only the descriptions of the models, but also an overview of the state-of-the-art in modeling for that particular by: 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 and ) focused on the roots of the discipline the four main model types that dominated.


Share this book
You might also like
Oregon trail.

Oregon trail.

Football against the enemy

Football against the enemy

Food, famine, and the legal order

Food, famine, and the legal order

Service of supply

Service of supply

The Scottish football quizbook

The Scottish football quizbook

Being fair and being free

Being fair and being free

Farm management survey 1961/62 and 1962/63

Farm management survey 1961/62 and 1962/63

Clothes and toys

Clothes and toys

A quest for personal meaning and wholeness through the movement experience

A quest for personal meaning and wholeness through the movement experience

The Sciences

The Sciences

The lousiad

The lousiad

Successful writers and how they work.

Successful writers and how they work.

Ergonomics of hybrid automated systems III

Ergonomics of hybrid automated systems III

Ecological modeling by William E. Grant Download PDF EPUB FB2

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, 4/5(2). 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 Cited by: ecological modeling.

A small data set on seed removal illustrates the three most common frameworks for statistical modeling in ecology: frequentist, likelihood-based, and Bayesian. The chapter also reviews what you should know to get the most out of the book, discusses the R language, and spells.

Ecological Modeling: An Introduction to the Art and Science of Modeling Ecological Systems, Vol presents the skills needed to appropriately evaluate and use ecological rated 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.

Ecological Modelling publishes new mathematical models and systems analysis for describing ecological processes, and novel applications of models for environmental management. We welcome research on process-based models embedded in theory with explicit causative agents and innovative applications of existing models.

Read the latest articles of Ecological Modelling atElsevier’s leading platform of peer-reviewed scholarly literature. "This outstanding book provides a comprehensive and extremely clear treatment on the development, implementation, use and testing of ecological models.

It embraces and covers the diverse approaches used by ecologists and biogeochemists; e.g. from simple food-web models to time-dependent transport-reaction models. ?cm_mmc=gmc-_-gmc-_-PLA-_-v01&product=COMNEW Permaculture.

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. The book starts at an elementary level of mathematical modeling, assuming that the reader has had high school mathematics and first-year calculus.

Otto and Day then gradually build in depth and complexity, from classic models in ecology and evolution to more intricate class-structured and probabilistic models. An ecosystem model is an abstract, usually mathematical, representation of an ecological system (ranging in scale from an individual population, to an ecological community, or even an entire biome), which is studied to better understand the real system.

Using data gathered from the field, ecological relationships—such as the relation of sunlight and water availability to.

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. Just such a model is presented in Chapter Nine.

The book should also serve as a stepping-stone both to advanced mathematical works like Stability of Biological Communities by Yu. Svirezhev and D. Logofet (Mir, Moscow, ) and to advanced modeling texts like Freshwater Ecosystems by M.

Straskraba and A. Gnauch (Elsevier, Amsterdam, ).Brand: Birkhäuser Basel. 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.

ISBN: X: OCLC Number: Description: xiii, pages: illustrations ; 27 cm. Contents: Machine generated contents note: ch. 1 Artificial Neural Network Simulation of Spatial Distribution of Arthropods: A Multi-Model Comparison / GuangHua Liu --ch.

2 Multispectral Vegetation Indices in Remote Sensing: An Overview / Chariton Kalaitzidis --ch. Introduction to Agent-Based Modeling By Marco A. Janssen This dynamic electronic textbook covers concepts and theories in the social and life sciences about social, ecological, and social-ecological systems, and how to capture those in agent-based models.

(Ecological Modelling, January ) "This book is valuable for its listing of 39 common pitfalls of model development; the 60 citations dividing into four categories of models that can serve as the starting point for most ecological modeling approaches; and the fractal beauty of it all.".

Ecological Modelling: an Introduction is a textbook tailored for the last year of a bachelor study or the first year of a master study. Ecological Modelling is a very powerful tool in environmental management and ecological research and a course in ecological modelling ought therefore to be compulsory for all studies focusing on environmental management, environmental sciences.

Wells, and also to the unpredictable and "cataclysmic environmental phenomena of our contemporary natural world--which Scott argues would be more accurately charted through narrative ecologicalby contrast, is related to a Romantic notion of the mind as natural microcosm in nineteenth-century lyric poetry, and to the experimental model of.

Modeling Different Ecological Processes; Selected ecological models; Required Readings. Lecture notes; Wu, Jianguo and J. David. A spatially explicit hierarchical approach to modeling complex ecological systems: Theory and applications.

Ecological Modelling. CiteScore: ℹ CiteScore: CiteScore measures the average citations received per document published in this title. CiteScore values are based on citation counts in a given year (e.g. ) to documents published in three previous calendar years (e.g.

– 14), divided by the number of documents in these three previous years (e.g. – 14).Many texts on ecological models jump to describing either particular relations or computational results, without treating in detail the conceptual and mathematical basis of many steps in modelling: why set up models, what are basic conceptual models, how do conservation laws come in, how are models solved, what are steady states.The material in the Handbook of Environmental and Ecological Modeling is logically arranged according to ecosystem.

Each of the sixteen chapters of the handbook covers a particular ecosystem, and includes not only the descriptions of the models, but also an overview of the state-of-the-art in modeling for that particular ecosystem.