Individual tree basal area growth models for Chir pine (Pinus roxberghii Sarg.) in western Nepal

https://doi.org/10.17221/51/2015-JFSCitation:Gyawali A., Sharma R.P., Bhandari S.K. (2015): Individual tree basal area growth models for Chir pine (Pinus roxberghii Sarg.) in western Nepal. J. For. Sci., 61: 535-543.
download PDF

The individual tree growth models are important decision-making tools in forestry. Age dependent and age independent individual tree basal area growth models were developed for Chir pine (Pinus roxberghii Sarg.) in one of the western districts, Rukum district, in Nepal. Data from thirty-five destructively sampled trees, which were representative of all possible stand densities, site productivities, age classes, and size classes of Chir pine forests in the district, were used. Sample trees were felled and diameters and ages were measured on the cut surface of the stump (at 30 cm above the ground). Since measurements from the same stump of a tree were strongly correlated, the autoregressive error structure modelling approach was applied while specifying the model in order to reduce bias. All parameter estimates of the models were significant (P < 0. 01) and the models described most of the variations of basal area growth (R2adj > 0.86). Residual graphs showed no serious systematic bias for all observed age classes and diameter classes. The age independent growth model showed relatively better fit statistics (R2adj = 0.8751, RMSE = 4.8494) than its age dependent counterpart (R2adj = 0.8668, RMSE = 5.0158). Because of being more precise and simpler, the age independent model is recommended to apply to both even-aged and uneven-aged stands of Chir pine in the district.

References:
Amaro A., Reed D., Soares P. (2003): Modelling Forest Systems. Wallingford, Oxon, CAB International: 432.
 
Andreassen Kjell, Tomter Stein M. (2003): Basal area growth models for individual trees of Norway spruce, Scots pine, birch and other broadleaves in Norway. Forest Ecology and Management, 180, 11-24  https://doi.org/10.1016/S0378-1127(02)00560-1
 
Anta Marcos Barrio, Dorado Fernando Castedo, Diéguez-Aranda Ulises, Álvarez González Juan G, Parresol Bernard R, Soalleiro Roque Rodríguez (2006): Development of a basal area growth system for maritime pine in northwestern Spain using the generalized algebraic difference approach. Canadian Journal of Forest Research, 36, 1461-1474  https://doi.org/10.1139/x06-028
 
Bella I.E. (1971): New competition model for individual trees. Forest Science, 17: 364–372.
 
(1957): Quantitative Laws in Metabolism and Growth. The Quarterly Review of Biology, 32, 217-  https://doi.org/10.1086/401873
 
Biging G.S., Dobbertin M. (1992): Comparison of distance-dependent competition measures for height and basal area growth of individual conifer trees. Forest Science, 38: 695–720.
 
Biging G.S., Dobbertin M. (1995): Evaluation of competition indices in individual tree-growth models. Forest Science, 41: 360–377.
 
Bollandsås Ole Martin, Næsset Erik (2009): Weibull models for single-tree increment of Norway spruce, Scots pine, birch and other broadleaves in Norway. Scandinavian Journal of Forest Research, 24, 54-66  https://doi.org/10.1080/02827580802477875
 
Cieszewski C.J. (2003): Developing a well-behaved dynamic site equation using a modified Hossfeld IV function Y3 = (axm)/(c + xm-1), a simplified mixed-model and scant subalpine fir data. Forest Science, 49: 539–554.
 
García Oscar (1994): The state-space approach in growth modelling. Canadian Journal of Forest Research, 24, 1894-1903  https://doi.org/10.1139/x94-244
 
Gizachew Belachew, Brunner Andreas (2011): Density–growth relationships in thinned and unthinned Norway spruce and Scots pine stands in Norway. Scandinavian Journal of Forest Research, 26, 543-554  https://doi.org/10.1080/02827581.2011.611477
 
Gobakken Terje, Lexerød Nils, Eid Tron (2008): T: A forest simulator for bioeconomic analyses based on models for individual trees. Scandinavian Journal of Forest Research, 23, 250-265  https://doi.org/10.1080/02827580802050722
 
Goelz J.C.G., Burk T.E. (1992): Development of a well-behaved site index equation: jack pine in north central Ontario. Canadian Journal of Forest Research, 22, 776-784  https://doi.org/10.1139/x92-106
 
Greene W.H. (2003): Econometric Analysis. 3rd Ed. Essex, Pearson Education: 1026.
 
Hasenauer H. (2006): Concepts within tree growth modeling. In: Hasenauer H. (ed.): Sustainable Forest Management: Growth Models for Europe. Berlin Heidelberg, Springer Verlag: 398.
 
Hasenauer H., Kindermann G., Steinmetz P. (2006): The tree growth model MOSES 3.0. In: H. Hasenauer H. (ed.): Sustainable Forest Management: Growth Models for Europe. Berlin Heidelberg, Springer-Verlag: 388.
 
Sun Hong-gang, Zhang Jian-guo, Duan Ai-guo, He Cai-yun (2007): A review of stand basal area growth models. Forestry Studies in China, 9, 85-94  https://doi.org/10.1007/s11632-007-0014-2
 
Huang Shongming, Titus Stephen J. (1995): An individual tree diameter increment model for white spruce in Alberta. Canadian Journal of Forest Research, 25, 1455-1465  https://doi.org/10.1139/x95-158
 
Huuskonen Saija, Miina Jari (2007): Stand-level growth models for young Scots pine stands in Finland. Forest Ecology and Management, 241, 49-61  https://doi.org/10.1016/j.foreco.2006.12.024
 
Jackson J.K. (1994): Manual of Afforestation in Nepal. Kathmandu, Forest Research and Survey Centre, Ministry of Forest and Soil Conservation: 824.
 
Kozak A., Kozak R. (2003): Does cross validation provide additional information in the evaluation of regression models? Canadian Journal of Forest Research, 33: 976–987.
 
Lacerte V., Larocque G.R., Woods M., Parton W.J., Penner M. (2006): Calibration of the forest vegetation simulator (FVS) model for the main forest species of Ontario, Canada. Ecological Modelling, 199, 336-349  https://doi.org/10.1016/j.ecolmodel.2006.05.028
 
Ledermann Thomas, Stage Albert R (2001): Effects of competitor spacing in individual-tree indices of competition. Canadian Journal of Forest Research, 31, 2143-2150  https://doi.org/10.1139/x01-153
 
Mailly Daniel, Turbis Sylvain, Pothier David (2003): Predicting basal area increment in a spatially explicit, individual tree model: a test of competition measures with black spruce. Canadian Journal of Forest Research, 33, 435-443  https://doi.org/10.1139/x02-122
 
Martin G.L., Ek A.R. (1984): A comparison of competition measures and growth models for predicting plantation red pine diameter and height growth. Forest Science, 30: 731–743.
 
Monserud Robert A., Sterba Hubert (1996): A basal area increment model for individual trees growing in even- and uneven-aged forest stands in Austria. Forest Ecology and Management, 80, 57-80  https://doi.org/10.1016/0378-1127(95)03638-5
 
Montgomery D.C., Peck E.A., Vining G.G. (2001): Introduction to Linear Regression Analysis. 3rd Ed. New York, Wiley: 641.
 
Parresol Bernard R. (1995): Basal area growth for 15 tropical tree species in Puerto Rico. Forest Ecology and Management, 73, 211-219  https://doi.org/10.1016/0378-1127(94)03486-G
 
Pienaar L.V., Rheney J.W. (1995): Modeling stand level growth and yield response to silvicultural treatments. Forest Science, 41: 629–638.
 
Pokharel Bharat, Froese Robert E. (2009): Representing site productivity in the basal area increment model for FVS-Ontario. Forest Ecology and Management, 258, 657-666  https://doi.org/10.1016/j.foreco.2009.04.040
 
Pommerening Arne, LeMay Valerie, Stoyan Dietrich (2011): Model-based analysis of the influence of ecological processes on forest point pattern formation—A case study. Ecological Modelling, 222, 666-678  https://doi.org/10.1016/j.ecolmodel.2010.10.019
 
Porté A., Bartelink H.H. (2002): Modelling mixed forest growth: a review of models for forest management. Ecological Modelling, 150, 141-188  https://doi.org/10.1016/S0304-3800(01)00476-8
 
Pretzsch H. (2002): Application and evaluation of the growth simulator SILVA 2.2 for forest stands, forest estates and large regions. Forstwissenschaftliches Centralblatt, 121: 28–51.
 
Pretzsch H. (2009): Forest Dynamics, Growth and Yield: from Measurement to Model. Berlin, Springer-Verlag: 664.
 
Reed D.D., Jones E.A., Tomé M., Araújo M.C. (2003): Models of potential height and diameter for Eucalyptus globulus in Portugal. Forest Ecology and Management, 172, 191-198  https://doi.org/10.1016/S0378-1127(01)00802-7
 
Rivas J. J. Corral, González J. G. Álvarez., Aguirre Oscar, Hernández F. J. (2005): The effect of competition on individual tree basal area growth in mature stands of Pinus cooperi Blanco in Durango (Mexico). European Journal of Forest Research, 124, 133-142  https://doi.org/10.1007/s10342-005-0061-y
 
SAS Institute Inc. (2008): SAS/ETS1 9.1.3 User’s Guide. Available at https://support.sas.com/documentation/onlinedoc/91pdf/sasdoc_913/genetics_ug_10108.pdf
 
Schröder Jörg, Soalleiro Roque Rodrı́guez, Alonso Guillermo Vega (2002): An age-independent basal area increment model for maritime pine trees in northwestern Spain. Forest Ecology and Management, 157, 55-64  https://doi.org/10.1016/S0378-1127(00)00657-5
 
Sharma R.P. (2013): Modelling Height, Height Growth and Site Index from National Forest Inventory Data in Norway. [PhD Thesis.] Ås, Norwegian University of Life Sciences, Norway: 172.
 
Sharma Ram P., Brunner Andreas, Eid Tron, Øyen Bernt-Håvard (2011): Modelling dominant height growth from national forest inventory individual tree data with short time series and large age errors. Forest Ecology and Management, 262, 2162-2175  https://doi.org/10.1016/j.foreco.2011.07.037
 
Soares Paula, Tomé Margarida, Skovsgaard J.P., Vanclay J.K. (1995): Evaluating a growth model for forest management using continuous forest inventory data. Forest Ecology and Management, 71, 251-265  https://doi.org/10.1016/0378-1127(94)06105-R
 
Sterba Hubert, Monserud Robert A. (1997): Applicability of the forest stand growth simulator prognaus for the Austrian part of the Bohemian Massif. Ecological Modelling, 98, 23-34  https://doi.org/10.1016/S0304-3800(96)01934-5
 
Subedi Nirmal, Sharma Mahadev (2011): Individual-tree diameter growth models for black spruce and jack pine plantations in northern Ontario. Forest Ecology and Management, 261, 2140-2148  https://doi.org/10.1016/j.foreco.2011.03.010
 
Uzoh Fabian C.C., Oliver William W. (2006): Individual tree height increment model for managed even-aged stands of ponderosa pine throughout the western United States using linear mixed effects models. Forest Ecology and Management, 221, 147-154  https://doi.org/10.1016/j.foreco.2005.09.012
 
Uzoh Fabian C.C., Oliver William W. (2008): Individual tree diameter increment model for managed even-aged stands of ponderosa pine throughout the western United States using a multilevel linear mixed effects model. Forest Ecology and Management, 256, 438-445  https://doi.org/10.1016/j.foreco.2008.04.046
 
Vacek Stanislav, Hejcman Michal, Semelová Věra, Remeš Jiří, Podrázský Vilém (2009): Effect of soil chemical properties on growth, foliation and nutrition of Norway spruce stand affected by yellowing in the Bohemian Forest Mts., Czech Republic. European Journal of Forest Research, 128, 367-375  https://doi.org/10.1007/s10342-009-0272-8
 
Vanclay J.K. (1994): Modelling Forest Growth and Yield. Oxon, CAB International: 312.
 
Vanclay J.K., Skovsgaard J.P. (1997): Evaluating forest growth models. Ecological Modelling, 98, 1-12  https://doi.org/10.1016/S0304-3800(96)01932-1
 
Wagle Bishnu Hari, Sharma Ram P. (2012): Modelling individual tree basal area growth of Blue pine ( Pinus wallichiana ) for Mustang district in Nepal. Forest Science and Technology, 8, 21-27  https://doi.org/10.1080/21580103.2012.658236
 
Wykoff W.R. (1990): A basal area increment model for individual conifers in the Northern Rocky Mountain. Forest Science, 36: 1077–1104.
 
Zeide Boris (1989): Accuracy of equations describing diameter growth. Canadian Journal of Forest Research, 19, 1283-1286  https://doi.org/10.1139/x89-195
 
Zeide B. (1993): Analysis of growth equations. Forest Science, 39: 594–616.
 
download PDF

© 2020 Czech Academy of Agricultural Sciences | Prohlášení o přístupnosti