Models In Ecology

Models in Ecology PDF
Author: John Maynard-Smith
Publisher: CUP Archive
ISBN: 9780521294409
Size: 46.94 MB
Format: PDF, Mobi
Category : Science
Languages : en
Pages : 160
View: 4006

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Models In Ecology

by John Maynard-Smith, Models In Ecology Books available in PDF, EPUB, Mobi Format. Download Models In Ecology books, This book deals with ecological models of two kinds, which both aim to understand the general properties of ecosystems: mathematical models and laboratory models.


Models In Ecosystem Science

Models in Ecosystem Science PDF
Author: Charles Draper William Canham
Publisher: Princeton University Press
ISBN: 9780691092898
Size: 34.74 MB
Format: PDF
Category : Nature
Languages : en
Pages : 476
View: 1080

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Models In Ecosystem Science

by Charles Draper William Canham, Models In Ecosystem Science Books available in PDF, EPUB, Mobi Format. Download Models In Ecosystem Science books, Quantitative models are crucial to almost every area of ecosystem science. They provide a logical structure that guides and informs empirical observations of ecosystem processes. They play a particularly crucial role in synthesizing and integrating our understanding of the immense diversity of ecosystem structure and function. Increasingly, models are being called on to predict the effects of human actions on natural ecosystems. Despite the widespread use of models, there exists intense debate within the field over a wide range of practical and philosophical issues pertaining to quantitative modeling. This book--which grew out of a gathering of leading experts at the ninth Cary Conference--explores those issues. The book opens with an overview of the status and role of modeling in ecosystem science, including perspectives on the long-running debate over the appropriate level of complexity in models. This is followed by eight chapters that address the critical issue of evaluating ecosystem models, including methods of addressing uncertainty. Next come several case studies of the role of models in environmental policy and management. A section on the future of modeling in ecosystem science focuses on increasing the use of modeling in undergraduate education and the modeling skills of professionals within the field. The benefits and limitations of predictive (versus observational) models are also considered in detail. Written by stellar contributors, this book grants access to the state of the art and science of ecosystem modeling.


A Biologist S Guide To Mathematical Modeling In Ecology And Evolution

A Biologist s Guide to Mathematical Modeling in Ecology and Evolution PDF
Author: Sarah P. Otto
Publisher: Princeton University Press
ISBN: 1400840910
Size: 28.14 MB
Format: PDF, ePub
Category : Science
Languages : en
Pages : 744
View: 2767

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A Biologist S Guide To Mathematical Modeling In Ecology And Evolution

by Sarah P. Otto, A Biologist S Guide To Mathematical Modeling In Ecology And Evolution Books available in PDF, EPUB, Mobi Format. Download A Biologist S Guide To Mathematical Modeling In Ecology And Evolution books, Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. 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. The authors provide primers with instructive exercises to introduce readers to the more advanced subjects of linear algebra and probability theory. Through examples, they describe how models have been used to understand such topics as the spread of HIV, chaos, the age structure of a country, speciation, and extinction. Ecologists and evolutionary biologists today need enough mathematical training to be able to assess the power and limits of biological models and to develop theories and models themselves. This innovative book will be an indispensable guide to the world of mathematical models for the next generation of biologists. A how-to guide for developing new mathematical models in biology Provides step-by-step recipes for constructing and analyzing models Interesting biological applications Explores classical models in ecology and evolution Questions at the end of every chapter Primers cover important mathematical topics Exercises with answers Appendixes summarize useful rules Labs and advanced material available


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 PDF
Author: Marc Kery
Publisher: Academic Press
ISBN: 0128097272
Size: 69.26 MB
Format: PDF
Category : Nature
Languages : en
Pages : 820
View: 6394

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Applied Hierarchical Modeling In Ecology Analysis Of Distribution Abundance And Species Richness In R And Bugs

by Marc Kery, Applied Hierarchical Modeling In Ecology Analysis Of Distribution Abundance And Species Richness In R And Bugs Books available in PDF, EPUB, Mobi Format. Download Applied Hierarchical Modeling In Ecology Analysis Of Distribution Abundance And Species Richness In R And Bugs books, 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


Dynamic State Variable Models In Ecology

Dynamic State Variable Models in Ecology PDF
Author: Colin W. Clark
Publisher: Oxford University Press
ISBN: 9780198028628
Size: 73.83 MB
Format: PDF, Docs
Category : Science
Languages : en
Pages : 304
View: 886

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Dynamic State Variable Models In Ecology

by Colin W. Clark, Dynamic State Variable Models In Ecology Books available in PDF, EPUB, Mobi Format. Download Dynamic State Variable Models In Ecology books, This book introduces readers to a set of powerful and extremely flexible modeling techniques, starting at "square one" and continuing with carefully chosen applications. Some of these applications of methodology include insect oviposition behavior, overwinter survival of birds and fish, avian migration, resource management, conservation biology, agroecology, and human behavior. This book also explains how to construct, test, and use dynamic state variable models in a wide range of contexts in evolutionary ecology, and its complete and up-to-date coverage allows readers to immediately begin using the described techniques. Dynamic State Variable Models in Ecology is designed for self-instruction or for use in upper division undergraduate or graduate courses. It is ideal for students and scientists interested in behavior, ecology, anthropology, conservation biology, and related fields.


Mathematical Models In Ecology

Mathematical Models in Ecology PDF
Author: Alʹbert Makarʹevich Molchanov
Publisher:
ISBN:
Size: 32.61 MB
Format: PDF, Kindle
Category : Ecology
Languages : en
Pages : 19
View: 4594

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Mathematical Models In Ecology

by Alʹbert Makarʹevich Molchanov, Mathematical Models In Ecology Books available in PDF, EPUB, Mobi Format. Download Mathematical Models In Ecology books,


Dynamic Modeling In Behavioral Ecology

Dynamic Modeling in Behavioral Ecology PDF
Author: Professor Department of Environmental Studies Marc Mangel
Publisher: Princeton University Press
ISBN: 9780691085067
Size: 59.29 MB
Format: PDF, ePub, Mobi
Category : Science
Languages : en
Pages : 308
View: 5510

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Dynamic Modeling In Behavioral Ecology

by Professor Department of Environmental Studies Marc Mangel, Dynamic Modeling In Behavioral Ecology Books available in PDF, EPUB, Mobi Format. Download Dynamic Modeling In Behavioral Ecology books, This book describes a powerful and flexible technique for the modeling of behavior, based on evolutionary principles. The technique employs stochastic dynamic programming and permits the analysis of behavioral adaptations wherein organisms respond to changes in their environment and in their own current physiological state. Models can be constructed to reflect sequential decisions concerned simultaneously with foraging, reproduction, predator avoidance, and other activities. The authors show how to construct and use dynamic behavioral models. Part I covers the mathematical background and computer programming, and then uses a paradigm of foraging under risk of predation to exemplify the general modeling technique. Part II consists of five "applied" chapters illustrating the scope of the dynamic modeling approach. They treat hunting behavior in lions, reproduction in insects, migrations of aquatic organisms, clutch size and parental care in birds, and movement of spiders and raptors. Advanced topics, including the study of dynamic evolutionarily stable strategies, are discussed in Part III.


Hierarchical Modeling And Inference In Ecology

Hierarchical Modeling and Inference in Ecology PDF
Author: J. Andrew Royle
Publisher: Elsevier
ISBN: 0080559255
Size: 77.21 MB
Format: PDF, Mobi
Category : Science
Languages : en
Pages : 464
View: 3955

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Hierarchical Modeling And Inference In Ecology

by J. Andrew Royle, Hierarchical Modeling And Inference In Ecology Books available in PDF, EPUB, Mobi Format. Download Hierarchical Modeling And Inference In Ecology books, 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