Sampling techniques for forest inventories / Daniel Mandallaz.

Format:

Book

Author/Creator:

Mandallaz, Daniel.

Contributor:

Louis A. Duhring Fund.

Series:

Applied environmental statistics

Chapman & Hall/CRC applied environmental statistics

Language:

English

Subjects (All):

Forest surveys.

Physical Description:

xv, 256 pages : illustrations, maps ; 25 cm.

Place of Publication:

Boca Raton, FL : Chapman & Hall/CRC, [2008]

Summary:

Sound forest management planning requires cost-efficient approaches to optimally utilize the given resources. Emphasizing the mathematical and statistical features of forest sampling to assess classical dendrometrical quantities, Sampling Techniques for Forest Inventories presents the statistical concepts and tools needed to conduct a modern forest inventory.

The book first examines design-based survey sampling and inference for large finite populations, followed by more advanced topics, including three-stage element sampling and the model-assisted estimation procedure. The author then develops the infinite population model/Monte Carlo approach for both simple and complex sampling schemes. He also uses a case study to reveal a variety of estimation procedures, relies on anticipated variance to tackle optimal design for forest inventories, and validates the resulting optimal schemes with data from the Swiss National Forest Inventory. The last chapters outline facts pertaining to the estimation of growth and introduce transect sampling based on the stereological approach.

Containing many recent developments available for the first time in book form, this concise and up-to-date work provides the necessary theoretical and practical foundation to analyze and design forest inventories. Features: Develops the Monte Carlo approach for one- and two-phase simple and cluster sampling schemes with either one or two stages-this straightforward approach can be used to solve nearly 80% of all forest inventory problems, Explores design-based, model-assisted, and model-dependent inference, including geostatistics and Kriging procedures, Explains the design of optimal sampling schemes through the concept of anticipated variance, Introduces the g-weight technique for variance estimation as well as weighted least squares for contingency tables, Presents the stereological approach to transect sampling, Includes numerous case studies, simulations, and instructive problems with solutions.

Contents:

Sampling finite populations: the essentials

Sampling finite populations: advanced topics

Forest inventory: one-phase sampling schemes

Forest inventory: two-phase sampling schemes

Forest inventory: advanced topics

Geostatistics

Case study

Optimal sampling schemes for forest inventory

The Swiss National Forest Inventory

Estimating change and growth

Transect-sampling.

Sampling nite populations: the essentials

Sampling nite populations: advanced topics

Case study 147

Notes:

Includes bibliographical references (pages 247-251) and index.

Local Notes:

Acquired for the Penn Libraries with assistance from the Louis A. Duhring Fund.

ISBN:

9781584889762

1584889764

OCLC:

156994416