Stratified two-stage sampling (self-weighted) for assessment of vlllage forest resources
2004
Islam, S. S.
The paper examines the suitability of Stratified Two-Stage Sampling (Self-Weighted) as a field sampling design in assessing village forest resources in Bangladesh. A study population of 900 households was fonned consisting of 14 administrative units comprising ofseveral local councils, each having a group of villages in the district of Chittagong in Bangladesh. The study concentrates on tree and bamboo resources as they contribute a major share ofthe village forest economy. Seven parameters defined under five variables were calculated for complete enumeration (total homestead area =97 ha, total area of compact tree garden = 49 ha, total volume of trees =9490 m~, total volume of compact trees = 8308 m~, total number of bamboos =53 229, volume of compact trees per hectare = 170 m~ and number of households with bamboo plantation =407). Stratified Two-Stage Sampling design was tested with collected field data using a computer. The parameters were estimated through the sampling technique using self-weighted method considering 250 sample households (estimated total homestead area = 78 ha, estimated total area of compact tree garden =50 ha, estimated total volume of trees =9432 m~, estimated total volume of compact trees = 8183 m3 , estimated total number of bamboos =53 546, estimated volume of compact trees per hectare =165 m~ and estimated number of households with bamboo plantation = 413). The estimates were compared with the enumerated values on the basis of percentage standard error, percentage accuracy, percentage bias and 95% confidence level. The sampling design under the study was found to be a suitable inventory technique and is recommended for application in the field to assess village wood and bamboo resources in Bangladesh.
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