Sampling Strategies for Natural Resources and the Environment

Written by renowned experts in the field, Sampling Strategies for Natural Resources and the Environment covers the sampling techniques used by practitioners and researchers in natural resource and environmental disciplines. Designed to be less theoretical in nature than many texts, it provides essential mathematical derivations in

Written by renowned experts in the field, Sampling Strategies for Natural Resources and the Environment covers the sampling techniques used in ecology, forestry, environmental science, and natural resources. The book presents methods to estimate aggregate characteristics on a per unit area basis as well as on an elemental basis. In addition to common sampling designs such as simple random sampling and list sampling, the authors explore more specialized designs for sampling vegetation, including randomized branch sampling and 3P sampling.

One of the book's unique features is the emphasis on areal sampling designs, including plot/quadrat sampling, Bitterlich sampling, line intersect sampling, and several lesser known designs. The book also provides comprehensive solutions to the problem of edge effect. Another distinguishing aspect is the inclusion of sampling designs for continuums, focusing on the methods of Monte Carlo integration.

By presenting a conceptual understanding of each sampling design and estimation procedure as well as mathematical derivations and proofs in the chapter appendices, this text promotes a deep understanding of the underpinnings of sampling theory, estimation, and inference. Moreover, it will help you reliably sample natural populations and continuums.

Autorentext

Timothy G. Gregoire, Harry T. Valentine

Klappentext

Written by renowned experts in the field, Sampling Strategies for Natural Resources and the Environment covers the sampling techniques used by practitioners and researchers in natural resource and environmental disciplines. Designed to be less theoretical in nature than many texts, it provides essential mathematical derivations in

Inhalt

Introduction. Sampling Distribution of an Estimator. Sampling Designs for Discrete Populations. Sampling Designs for Continuous Populations. Stratified Sampling Designs. Using Auxiliary Information to Improve Estimation. Sampling with Fixed Area Plots. Bitterlich Sampling. Line Intersect Sampling. A Monte Carlo Integration Approach to Areal Sampling. Miscellaneous Methods. Two-Stage Sampling. Randomized Branch Sampling. Sampling with Partial Replacement. Bibliography. Index.