Statistical techniques for sampling and monitoring natural resources

Hans T. Schreuder; Richard Ernst; Hugo Ramirez-Maldonado

doi:10.2737/RMRS-GTR-126

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Statistical techniques for sampling and monitoring natural resources

Informally Refereed

Authors:

Hans T. Schreuder, Richard Ernst, Hugo Ramirez-Maldonado

Year:

2004

Type:

General Technical Report

Station:

Rocky Mountain Research Station

DOI:

https://doi.org/10.2737/RMRS-GTR-126

Source:

Gen. Tech. Rep. RMRS-GTR-126. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 111 p.

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Abstract

We present the statistical theory of inventory and monitoring from a probabilistic point of view. We start with the basics and show the interrelationships between designs and estimators illustrating the methods with a small artificial population as well as with a mapped realistic population. For such applications, useful open source software is given in Appendix 4. Various sources of ancillary information are described and applications of the sampling strategies are discussed. Classical and bootstrap variance estimators are discussed also. Numerous problems with solutions are given, often based on the experiences of the authors. Key additional references are cited as needed or desired.January 11, 2011: Errata sheet added for equation corrections on page 26 and 27.

Keywords

inventory and monitoring, statistical theory, artificial population, mapped realistic population, classical variance estimators, bootstrap variance estimators

Citation

Schreuder, Hans T.; Ernst, Richard; Ramirez-Maldonado, Hugo. 2004. Statistical techniques for sampling and monitoring natural resources. Gen. Tech. Rep. RMRS-GTR-126. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 111 p.