Forest Growth Simulation: Tropical Rain Forest Stand Table Projection
Authors: Yasmin Yahya, Roslan Ismail, Samreth Vanna, Khorn Saret
Abstract:
The study on the tree growth for four species groups of commercial timber in Koh Kong province, Cambodia-s tropical rainforest is described. The simulation for these four groups had been successfully developed in the 5-year interval through year-60. Data were obtained from twenty permanent sample plots in the duration of thirteen years. The aim for this study was to develop stand table simulation system of tree growth by the species group. There were five steps involved in the development of the tree growth simulation: aggregate the tree species into meaningful groups by using cluster analysis; allocate the trees in the diameter classes by the species group; observe the diameter movement of the species group. The diameter growth rate, mortality rate and recruitment rate were calculated by using some mathematical formula. Simulation equation had been created by combining those parameters. Result showed the dissimilarity of the diameter growth among species groups.
Keywords: cluster analysis, diameter growth, simulation
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1072177
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2218References:
[1] Palahi M, Miina J, M. Tome' M, G. Montero G., 2002. Stand-level model for Scot pine (Pinus sylvestris L.) in north-east Spain. Invest. Agr.: Sist. Recur. For. Vol. 11 (2).
[2] Vanclay J.K., 1988. A Stand Growth Model for Cypress Pine. In: J. W. Leech, R.E. McMurtrie, P.W. West, R.D. Spencer and B.M. Spencer (eds) Modelling Trees, Stands and Forest. School of Forestry, Univ. Melbourne, Bulletin No. 5, p. 310-332.
[3] Huber M, Sterba H., 2009. Development of Species Composition in Long Term Simulation with an Individual-Tree Growth Simulator. Journal of Forest Science, 55, 2009 (5): 194 - 200
[4] Miguel S.de, Pukkala T, Shater Z, Assaf N, Kraid B, Palahi M., 2010. Models for Simulating the Development of Even-Aged Pinus Brutia Stands in Middle East. Forest System 2010 19(3), 449 - 457.
[5] Vanclay J K, 1995. Growth Models for Tropical Forests: A Synthesis of Models and Methods. Forest Science 41: 7 -42
[6] Martinez Pastur G J, Cellini J M, Lencinas M V, Peri P L., 2008. Stand Growth Model Using Volume Increment/Basal Area Ratios. Journal of Forest Science, 54, 2008 (3); 102 - 108
[7] Bjorn Elfving, 2001. Growth Models for Uneven-Aged Stand. Nordic Trends in Forest Inventory, Management Planning and Modeling- Proceeding of 2001 SNS Meeting, 193 - 194.
[8] Quang V C, 2000. Predicting of Annual Diameter Growth and Survival for Individual Trees from Periodic Measurements. Forest Science 46(1) 2000; 126 - 131
[9] Douglas D.B, John Sloan and Joy Roberts, 2010. Stand Density Guides for Predicting Growth of Forest Trees of Southwest Idaho. USDA Forest Service Proceedings RMRS-P-61.
[10] Sevillano-Marco E, Fernandez-Manso A and Castedo-Dorado F, 2009. Development and Applications of a growth model for Pinus Radiata D.Don Plantation in El Bierzo (Spain). Investigacion Agraria: Sistemas y Recursos Forestales 2009 18(1), 64-80, ISSN: 1131-7965.
[11] Vanclay, J.K., 1989. A Growth Model for North Queensland Rainforests. Forest Ecology and Management, 27(1989) 245 - 271.
[12] Shadrach O.A., 2005. Volume Functions for Common Timber Species of Nigeria-s Tropical Rainforest. International Tropical Timber Organization (ITTO), Japan