Introduction to Quantitative Ecology
Mathematical and Statistical Modelling for Beginners
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Product details:
- Publisher OUP Oxford
- Date of Publication 30 September 2021
- ISBN 9780192843487
- Binding Paperback
- No. of pages320 pages
- Size 245x170x19 mm
- Weight 608 g
- Language English
- Illustrations 87 colour line figures/illustrations and 32 tables 710
Categories
Short description:
Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. This accessible textbook introduces quantitative ecology in a manner that aims to confront the limitations of the current literature and thereby appeal to a far wider audience.
MoreLong description:
Environmental 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.
Essington... 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.
Table of Contents:
About This Book
Part I: Fundamentals of Dynamic Models
Why Do We Model?
Introduction to Population Models
Structured Population Models
Competition and Predation Models
Stochastic Population Models
Part II: Fitting Models to Data
Why Fit Models to Data?
Random Variables and Probability
Likelihood and Its Applications
Model Selection
Bayesian Statistics
Part III: Skills
Mathematics Refresher
Modeling in Spreadsheets
Modeling in R
Skills for Dynamic Models
Sensitivity Analysis
Skills for Fitting Models to Data
Part IV: Putting It All Together and Next Steps
Putting It Together : Fitting a Dynamic Model
Next Steps
