The book provides an overview of the key analytical approaches that are currently used in demographic, genetic, and spatial analyses in population ecology. The chapters present current problems, introduce advances in analytical methods and models, and demonstrate the applications of quantitative methods to ecological data. The book covers new tools for designing robust field studies; estimation of abundance and demographic rates; matrix population models and analyses of population dynamics; and current approaches for genetic and spatial analysis. Each chapter is illustrated by empirical examples based on real datasets, with a companion website that offers online exercises and examples of computer code in the R statistical software platform.
- Fills a niche for a book that emphasizes applied aspects of population analysis
- Covers many of the current methods being used to analyse population dynamics and structure
- Illustrates the application of specific analytical methods through worked examples based on real datasets
- Offers readers the opportunity to work through examples or adapt the routines to their own datasets using computer code in the R statistical platform
Population Ecology in Practice is an excellent book for upper-level undergraduate and graduate students taking courses in population ecology or ecological statistics, as well as established researchers needing a desktop reference for contemporary methods used to develop robust population assessments.
Dedication
Preface
Chapter 1 - How to Ask Meaningful Ecological Questions
Chapter 2 - From Research Hypothesis to Model Selection: A Strategy for Robust Inference in Population Ecology
Chapter 3 - Estimating Abundance or Occupancy from Unmarked Populations
Chapter 4 - Analyzing Time Series Data: Single Species Abundance Modelling
Chapter 5 - Estimating Abundance from Capture-Recapture Data
Chapter 6 - Estimating Survival and Cause-Specific Mortality from Continuous Time Observations
Chapter 7 - Mark-Recapture Models for Estimation of Demographic Parameters
Chapter 8 - Projecting Populations
Chapter 9 - Combining Counts of Unmarked Individuals and Demographic Data Using Integrated Population Models
Chapter 10 - Individual and Agent-Based Models in Population Ecology and Conservation Biology
Chapter 11 - Genetic Insights into Population Ecology
Chapter 12 - Spatial Structure in Population Data
Chapter 13 - Animal Home Ranges: Concepts, Uses and Estimation
Chapter 14 - Analysis of Resource Selection by Animals
Chapter 15 - Species Distribution Modeling
Chapter 16 - The R Software for Data Analysis and Modeling