Open Access
Subscription Access
Open Access
Subscription Access
Inventory of Non-timber forest Products through Adaptive Cluster Sampling
Subscribe/Renew Journal
Inventory of the growing stock based upon stratified random sampling has been applied to estimate the timber resources in the forests. This method cannot give precise estimate of NTFPs yielding herbs and shrubs with patchy and clustered distribution. Our field study in the forests of Chittoor district of Andhra Pradesh indicates that inventory of a shrub named Decalepis hamiltonii, an important NTFP tuber species is best estimated with the help of 'Adaptive Cluster Sampling' applying the Horvitz - Thompson estimator. This method can be replicated for other species with similar distributions. Precise inventory coupled with productivity assessment is required to standardize management prescriptions.
Keywords
Inventory, Decalepis Hamiltonii, Simple Random Sampling, Adaptive Clustered Sampling, Horvitz- Thompson (ht) Estimators, Productivity.
Font Size
User
About The Authors
Subscription
Login to verify subscription
Information
Submissions
- Bary Moser, (Undated tutorial lessons), Adaptive Cluster Sampling, Dep’t of Experimental Statistics, Exst 7012.223, Louisiana State University.
- F.A.O. (1996). Integrating the assessment of non-wood forest products into the forest inventory of a large area: experience from Nepal. Domestication and commercialization of non-timber forest products in agro forestry systems. Proceedings of an International Conference held in Nairobi. FAO Rome.
- FSI (2011). India State of Forest Report 2011, Forest Survey of India. Page 50, F.S.I. Dehradun.
- Goud, K., Howard, A.F. and Rodriguez, G. (1998). Sustainable production of non-timber forest products: Natural Dye Extraction from El Cruce Dos Aguadas, Peten, Guatemala, Forest Ecology and Management, 111:69-82.
- Hall, P. and Bawa, K. (1993). Methods to Assess the impact of extraction of non-timber tropical forest products on plant populations. Economic Botany, 47(3): 234-237.
- Lei, Y., Shi, J., Zhao, T. (2012). Efficiency of Adaptive Cluster Sampling and traditional sampling of coastal mangrove in Hainan of China, Journal of Forest Science, 58(9): 381-390.
- Morrison, Lloyd W., Smith, David R., Young, Crag C., Nicholas, Doug, W. (2008). Evaluating sampling design by computer simulation: a case study with the Missouri bladder pod. Population Ecology, 50:417-425.
- Peters, C.M. (1994). Sustainable harvest of non-timber plant resources in tropical moist forests: An ecological primer.
- Biodiversity support programme, WWF, Washington, USA, 44pp.
- Peters, C.M. (1996). The Ecology and management of non-timber forest resources. World Bank Technical Papers 332. World bank Washington. 157 pp.
- Salehi, M.M. (2003). Comparison between Hansen- Hurwitz and Horvitz-Thompson estimators for Adaptive Cluster sampling, Environmental and Ecological Statistics, 10: 115-127.
- Sastamoinen, O., Kangas, J., Nasakali, A. and Salo, K. (1998). Non-Wood forest products in Finland: statistics, expert estimates and recent developments. Pp131–135, In Sustainable development of no-wood goods and benefits from boreal and cold temperate forests: EFI proceedings No.23.
- Shanker, U., Murali, K.S., Shaanker, U., Ganeshaiah, K.N. and Bawa, K.S. (1996). Extraction of non-timber frorest products in the forests of Biligiri Rangan Hills, India 3. Productivity, extraction and prospects of sustainable harvest of Amla, Phyllanthus emblica (Euphorbiaceae). Economic Botany, 50(3): 270-279.
- Talvitie, Mervi, Leino Olli, Markus Holopainen (2006). Inventory of Sparse Forest Populations Using Adaptive Cluster Sampling, Silva Fennica, 40(1)
- Thompson, S.K. (1990). Adaptive Cluster Sampling, Journal of the American Statistical Association, 85: 1050 – 1059.
- Thompson, S.K., and Seber, G.A.F. (1996). Adaptive Sampling, John Wiley & Sons, Inc., New York.
- Yang, Haijuan, Christopher Kleinn, Lutz Fehrmann, Shouzheng Tang, Steen Magnussen (2011). Environmental Ecological Statistics, 18:223 – 227.
Abstract Views: 330
PDF Views: 2