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OverviewEnvironmental science (ecology, conservation, and resource management) is an increasingly quantitative field. A well-trained ecologist now needs to evaluate evidence generated from complex quantitative methods, and to apply these methods in their own research. Yet the existing books and academic coursework are not adequately serving most of the potential audience - instead they cater to the specialists who wish to focus on either mathematical or statistical aspects, and overwhelmingly appeal to those who already have confidence in their quantitative skills. At the same time, many texts lack an explicit emphasis on the epistemology of quantitative techniques. That is, how do we gain understanding about the real world from models that are so vastly simplified? This accessible textbook introduces quantitative ecology in a manner that aims to confront these limitations and thereby appeal to a far wider audience. It presents material in an informal, approachable, and encouraging manner that welcomes readers with any degree of confidence and prior training. It covers foundational topics in both mathematical and statistical ecology before describing how to implement these concepts to choose, use, and analyse models, providing guidance and worked examples in both spreadsheet format and R. The emphasis throughout is on the skilful interpretation of models to answer questions about the natural world. Introduction to Quantitative Ecology is suitable for advanced undergraduate students and incoming graduate students, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world ecology, conservation, and resource management scenarios. Full Product DetailsAuthor: Timothy E. Essington (Professor, Professor, School of Aquatic and Fisheries Sciences; Director, Center for Quantitative Sciences and Director, QERM Graduate Program, University of Washington, USA)Publisher: Oxford University Press Imprint: Oxford University Press Dimensions: Width: 17.60cm , Height: 2.40cm , Length: 25.30cm Weight: 0.758kg ISBN: 9780192843470ISBN 10: 0192843478 Pages: 320 Publication Date: 30 September 2021 Audience: College/higher education , Tertiary & Higher Education Format: Hardback Publisher's Status: Active Availability: To order  Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us. Table of ContentsAbout This Book Part I: Fundamentals of Dynamic Models 1: Why Do We Model? 2: Introduction to Population Models 3: Structured Population Models 4: Competition and Predation Models 5: Stochastic Population Models Part II: Fitting Models to Data 6: Why Fit Models to Data? 7: Random Variables and Probability 8: Likelihood and Its Applications 10: Model Selection 10: Bayesian Statistics Part III: Skills 11: Mathematics Refresher 12: Modeling in Spreadsheets 13: Modeling in R 14: Skills for Dynamic Models 15: Sensitivity Analysis 16: Skills for Fitting Models to Data Part IV: Putting It All Together and Next Steps 17: Putting It Together : Fitting a Dynamic Model 18: Next StepsReviewsEssington... shows how to fit and interpret a simple dynamic model to data clearly and concisely, integrating the main tools of the book... in one elegant case study. * Joseph D. T. Savage and Christopher M. Moore, The Quarterly Review of Biology * Author InformationTimothy E. Essington is a Professor at the School of Aquatic and Fishery Sciences, University of Washington, USA. He is also Director of the Center for Quantitative Sciences and of the University of Washington's QERM Graduate Program. His research chiefly focuses on food web interactions involving fish in marine, estuarine and freshwater habitats. Tab Content 6Author Website:Countries AvailableAll regions |
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