Applied Statistical Modelling for Ecologists 1st Edition

Applied Statistical Modelling for Ecologists — 1st Edition by Marc Kéry and Kenneth F. Kellner

Capture the attention of any ecologist facing messy field data with a book designed to make statistical modelling accessible, practical, and directly applicable to conservation and wildlife research. This authoritative text guides readers from core concepts to robust analytical approaches that improve inference and decision-making across ecosystems worldwide.

Inside, you’ll find clear explanations of contemporary modelling strategies tailored to ecological questions: handling imperfect detection, designing surveys, choosing appropriate model structures, and interpreting uncertainty. Realistic case studies and stepwise examples connect theory to field practice, helping you translate raw observations into reliable conclusions for temperate, tropical, coastal, and urban environments. The writing balances mathematical rigor with readable guidance, making it suitable for graduate students, professional ecologists, and conservation practitioners.

Imagine confidently fitting models that account for complex sampling, comparing alternative hypotheses, and communicating results to stakeholders and policymakers. This book enhances your workflow by emphasizing reproducible analysis, thoughtful model selection, and transparent reporting—skills that boost the impact of your research and applied projects in biodiversity monitoring, habitat assessment, and species management.

Whether you’re building capacity in a university lab, conducting field programs across North America, Europe, Australia, or working in international conservation, Applied Statistical Modelling for Ecologists is a practical, dependable resource to add to your library. Order your copy today and start turning ecological data into insightful, defensible outcomes.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.