MP Rana
Department of Forestry and Environmental Science, School of Agriculture and Mineral Sciences, Shahjalal University of Science and Technology, Sylhet- 3114 (Bangladesh)
MP Rana
Department of Forestry and Environmental Science, School of Agriculture and Mineral Sciences, Shahjalal University of Science and Technology, Sylhet- 3114 (Bangladesh)
SA Mukul
Institutute of International Forestry and Forest Products, Dresden University of Technology, 01735 Tharandt (Germany)
S Akhter
Department of Forestry and Environmental Science, School of Agriculture and Mineral Sciences, Shahjalal University of Science and Technology, Sylhet- 3114 (Bangladesh)
Q Chowdhury
Department of Forestry and Environmental Science, School of Agriculture and Mineral Sciences, Shahjalal University of Science and Technology, Sylhet- 3114 (Bangladesh)
M Koike
Forest Policy Laboratory, Department of Forest Science, Faculty of Agriculture, Shinshu University, 8304 Minamiminowa-Mura, 399-4598 Nagano-Ken (Japan)
MSH Chowdhury
Forest Policy Laboratory, Department of Forest Science, Faculty of Agriculture, Shinshu University, 8304 Minamiminowa-Mura, 399-4598 Nagano-Ken (Japan)
Ecotourism Search for “Ecotourism” on: iForest | PubMed | GScholar , Protected area, Tourism potential, Visitors, Bangladesh
Rema-Kalenga Wildlife Sanctuary, Bangladesh
Resource Development and Management
Site profile Rema-Kalenga Wildlife Sanctuary (RKWS) is located approximately 130 km east-northeast of Dhaka and 80 km south-southeast of Sylhet in Chunarughat Thana, a sub-district of Habiganj District, Sylhet. The sanctuary is bounded by Tripura State (India) to the south and east, and Kalenga Forest Range to the north and west. Geographically, the area lies between 24°06’-24°14’N latitude and 91°34’-91°41’E longitude. The area falls under the Sylhet Hills zones ([26]), and the administrative area is known as the Rema-Kalenga Forest Range. Table one describes the main features of the Rema-Kalenga Wildlife Sanctuary. Data collection and analysis To collect data and information, an opinion pull was conducted in the study areas. This was because most of recreation seekers were willing to pass their spare time in these eco-tourism spots. Visitor’s survey method was conducted for valuation of outdoor recreation. A total of 150 respondents were interviewed representing different socio-economic and occupational groups. The selection of respondents was done randomly to avoid serious biasness. The respondents were interviewed with a semi-structured questionnaires designed for this purpose. The aim of survey was to gather information related to demography of visitors as the major stakeholder (e.g., age, education and occupation), visits to the park (e.g., frequency, season, time, purpose, form of visit, willingness to further visit), tourism potential of the park and problems faced by the visitors during visits. Descriptive statistics were derived to summarise the property of the dataset, while analytical methods (correlation and chi-squared test) were used to analyse the data and test for differences (at 95% level of significance). Analysis was conducted using SPSS ver 10.0 (Statistical Package for the Social Sciences). Here, chi-squared test explains the relationship between tourism potential with other demographic variable.
iForest - Biogeosciences and Forestry, Volume 3, Issue 1, Pages 23-29 (2010)
Journal