Cost-Effectiveness in Forest Sampling
Abstract:Cost-effectiveness analysis is demonstrated by the solution of a problem of choice between Bitterlich and circular plot sampling rules in the estimation of total forest basal area and total trees in the forest. The half-width of a 95 percent confidence interval is chosen as the criterion of effectiveness. A budget function is developed. Plot size and number of plots in a random sample are the inputs that affect costs and effectiveness. Economic theory is used to identify optimum number and size of plots for all parameter-sampling rule combinations. Choice in the presence of multiple goals is discussed.
Document Type: Journal Article
Affiliations: Assistant Specialist, Agricultural Expt. Sta., Univ. of California, Berkeley
Publication date: 1966-12-01
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- Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
Forest Science is published bimonthly in February, April, June, August, October, and December.
2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry
Average time from submission to first decision: 62.5 days*
June 1, 2016 to Feb. 28, 2017
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Journal of Forestry
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