Forest Mensuration (en Inglés) - John A. Kershaw, Jr.;Mark J. Ducey;Tzeng Yih Lam;Thomas W. Beers

Comprehensive Coverage of Modern Methods in Forest Measurement and Sampling

Advances in technology, ecological understanding, and management goals have reshaped how scientists and practitioners measure and interpret forest structure and dynamics. Forest Mensuration provides an up-to-date and integrated approach to measuring tree and forest attributes, incorporating both traditional field techniques and state-of-the-art remote sensing technologies.

This new Sixth Edition reorganizes material to better align measurement and sampling concepts across scales—from individual trees to entire landscapes—while expanding coverage of forest diversity, structural complexity, and ecosystem services. The text also introduces new theoretical and applied approaches for sampling with remotely sensed covariates, and includes updated examples, comparative tool analyses, and practical applications for contemporary forest management and ecological research. Providing the most current understanding of forest measurement science, Forest Mensuration: Emphasizes the relevance of foundational measurement principles while guiding readers in applying innovative technologies to contemporary forestry challenges Integrates remote sensing techniques across chapters to connect traditional field measurement with modern data-driven sampling and analysis Provides updated, side-by-side comparisons of current digital and traditional measurement tools to support informed equipment selection Introduces advanced sampling strategies that incorporate remotely sensed covariates for more efficient and cost-effective ground sampling Offers open access to comprehensive datasets via an online Dataverse, enabling deeper exploration of forest inventory and sampling design

Forest Mensuration, Sixth Edition, equips students, researchers, and practicing foresters with essential tools for accurate measurement, inventory, and analysis across diverse forest systems. It is ideal for undergraduate and graduate courses in forestry, natural resource management, and environmental science.