Tree Diversity Analysis

This comprehensive guide offers researchers and conservationists essential tools for analyzing tree species diversity across forest ecosystems, providing both theoretical foundations and practical applications for ecological assessment. The book systematically covers key biodiversity metrics, sampling methodologies, and statistical approaches specifically tailored to forest inventory and monitoring programs. Readers will find thorough explanations of diversity indices, species abundance distributions, and spatial analysis techniques that form the core of modern forest ecology research. The integration of R programming examples throughout makes complex statistical concepts accessible and immediately applicable to real-world data.

What sets this resource apart is its dual focus on both classical diversity measures and cutting-edge multivariate methods, bridging the gap between traditional ecology and contemporary computational approaches. Field biologists and graduate students will particularly appreciate the step-by-step protocols for designing biodiversity surveys and interpreting results within conservation contexts. The emphasis on reproducible research practices through documented R code ensures readers can implement these methods directly in their own work. This volume stands as an indispensable reference for anyone conducting forest biodiversity research or developing evidence-based conservation strategies.