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http://dx.doi.org/10.14578/jkfs.2020.109.3.291

A Comparative Case Study on Sampling Methods for Cost-Effective Forest Inventory: Focused on Random, Systematic and Line Sampling  

Park, Joowon (School of Forestry Sciences and Landscape Architecture, Kyungpook National University)
Cho, Seungwan (Department of Forestry, Kyungpook National University)
Kim, Dong-geun (Department of Ecology and Environment System, Kyungpook National University)
Jung, Geonhwi (Department of Forestry, Kyungpook National University)
Kim, Bomi (Chungnam Forest Environment Research Institute)
Woo, Heesung (International Agricultural Training Center, Kyungpook National University)
Publication Information
Journal of Korean Society of Forest Science / v.109, no.3, 2020 , pp. 291-299 More about this Journal
Abstract
The purpose of this study was to propose the most cost-effective sampling method, by analyzing the cost of forest resource investigation per sampling method for the planned harvesting area of in Chunyang-myeon, Byeonghwa-gun, Gyeongsangbuk-do, Korea. For this study, three sampling methods were selected: random sampling method, systematic sampling method, and line transect method. For each method, sample size, hourly wage, number of sample points, survey time, travel time, the sample error rate of the estimated average volume, and the desired sampling error rate were used to calculate the cost of forest resource inventories. Thus, 10 sampling points were extracted for each sampling method, and the factors required for cost analysis were calculated via a field survey. As a result, the field survey cost per ha using the random sampling method was found to be have the lowest cost, regardless of the desired sampling error rate, followed by the systematic sampling method, and the line transect method.
Keywords
random sampling; line sampling; systematic sampling; forest measurement; forest inventory sampling;
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Times Cited By KSCI : 2  (Citation Analysis)
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