Stratified two-stage sampling (self-weighted) for assessment of vlllage forest resources


Citation

Islam S. S., . Stratified two-stage sampling (self-weighted) for assessment of vlllage forest resources. pp. 9-16. ISSN 0128-1283

Abstract

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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Abstract

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.

Additional Metadata

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Item Type: Article
AGROVOC Term: Forest resources
AGROVOC Term: Bamboos
AGROVOC Term: Forest management
AGROVOC Term: Density
AGROVOC Term: Households
AGROVOC Term: Occupations
AGROVOC Term: Culms
AGROVOC Term: Mangifera indica
AGROVOC Term: Cocos nucifera
Depositing User: Ms. Suzila Mohamad Kasim
Last Modified: 24 Apr 2025 06:27
URI: http://webagris.upm.edu.my/id/eprint/22181

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