Comparing the model forms estimating generalised diameter-height relationships in Tecomella undulata plantations in hot arid region of India

Vindhya Prasad Tewari

Journal of Forestry Research ›› 2007, Vol. 18 ›› Issue (4) : 255 -260.

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Journal of Forestry Research ›› 2007, Vol. 18 ›› Issue (4) : 255 -260. DOI: 10.1007/s11676-007-0052-6
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Comparing the model forms estimating generalised diameter-height relationships in Tecomella undulata plantations in hot arid region of India

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Abstract

Four generalised diameter-height equations were developed and compared for pure and even-aged stands of Tecomella undulata in hot arid region of Rajasthan State in India. The data used to fit the equations consisted of 1 540 diameter-height observations collected from the plots laid out in uniformly stocked stands of varying age and density. The performance of four equations was tested by non-linear least squares regression and evaluated using different statistical criteria. Finally, these equations, with the same values of coefficients obtained during the fitting phase, were validated by an independent data set consisting of 854 diameter-height observations. Overall, equation (4) (Hui and Gadow function) was found to perform best for both the fitting data set as well as validation data set.

Keywords

Generalised height-diameter equations / T. undulata / Model evaluation & validation / Hot desert / India

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Vindhya Prasad Tewari. Comparing the model forms estimating generalised diameter-height relationships in Tecomella undulata plantations in hot arid region of India. Journal of Forestry Research, 2007, 18(4): 255-260 DOI:10.1007/s11676-007-0052-6

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References

[1]

Anon. 1994. ROHIDA (Tecomella undulata). Dehradun, India: Indian Council of Forestry Research and Education.

[2]

Arabatzis A.A., Burkhart H.E. An evaluation of sampling methods and model forms estimating height-diameter relationships in loblolly pine plantations Forest Science, 1992, 38(1): 192-198.

[3]

Burnham K.P., Anderson D.R. Model Selection and Inference. A Practical Information-Theoretic Approach, 1998 New York, USA: Springer-Verlag

[4]

Cao Q.V., Burkhart H.E., Max T.A. Evaluation of two methods for cubic volume prediction for loblolly pine to any merchantable limit Forest Science, 1980, 26: 71-80.

[5]

Draper N.R., Smith H. Applied Regression Analysis, 1981 New York, USA: John Wiley and Sons

[6]

Freese F. Testing accuracy Forest Science, 1960, 6: 139-145.

[7]

Gadow K.v., Hui G.Y. Zur Entwicklung von Einheitshöhenkurven am Beispiel der Baumart Cunninghamia lanceolata Allgemeine Forst und Jagd Zeitung, 1993, 110(2): 41-48.

[8]

Gadow K.v., Hui G.Y. Modelling Forest Development, 1999 Dordrecht, The Netherlands: Kluwer Academic Publisher

[9]

Hasenauer H. Statistische Probleme der Höhenzuwachsberechnung Centralblatt für des gesamte Forstwesen, 1999, 116(1/2): 91-104.

[10]

Hradetzky J. Höhenermittlung bei Betriebsinventuren in Baden-Württemberg Centralblatt für des gesamte Forstwesen, 1999, 116(1/2): 119-128.

[11]

Kahn M., Dursky J. Höhenzuwachsfunktionen für Einzelbaummodelle auf der Grundlage quasirrealer Baumhöhenzuwächse Centralblatt für des gesamte Forstwesen, 1999, 116(1/2): 105-118.

[12]

Kramer H., Akça A. Leitfaden zur Waldmeßlehre, 1987 Frankfurt a.M, Germany: J.D. Sauerländer’s Verlag

[13]

Michailoff J.L. Zahlenmässiges Verfahren für die Ausführung der Bestandeshöhenkurven Forst-wissenschaftliches Centralbatt-Tharandter Forstliches Jahrbuch, 1943, 6: 273-279.

[14]

Mirkovich, D. 1958. Normale visinske krive za chrast kitnak i bukvu v NR Srbiji. Glasnik sumarskog faculteta 13, Zagreb (cited in: Wenk, G., Antanaitis, V. and Smelko, S. 1990. Waldertragslehre. Berlin, Germany: Deutscher Landwirtschaftsverlag, 448 p.).

[15]

Páscoa, F. 1987. Estructura, crecimento e produção em povomentos de pinheiro bravo. Um modelo de simulação. Ph.D. Thesis, Universidade Técnica de Lisboa, 241 p.

[16]

Pienaar, L.V. 1991. PMRC yield prediction system for slash pine plantations in the Atlantic coast flatwoods. PMRC Technical Report, Athens, USA (cited in: Van Laar, A. and Akça, A. 1997. Forest Mensuration. Göttingen, Germany: Cuvillier Verlag, 418 p.).

[17]

Prodan M. Holzmeßlehre, 1965 Frankfurt a.M., Germany: J.D. Sauerländer’s Verlag

[18]

Prodan M., Peters R., Cox F., Real P. Mensura Forestal. Instituto Interamericano de Cooperación para la Agricultura (IICA), 1997 San José, Costa Rica: Deutsche Gesellschaft für Technische Zusammenarbeit (GTZ) GmbH

[19]

Richards F.J. A flexible growth function for empirical use Journal of Experimental Botany, 1959, 10: 290-300.

[20]

Schumacher F.X. A new growth curve and its application to timber yield studies Journal of Forestry, 1939, 37: 819-820.

[21]

Schröder J., Álvarez J.G. Comparing the performance of generalized diameter-height equations for Maritime pine in northwestern Spain Forst-wissenschaftliches Centralblatt, 2001, 120: 18-23.

[22]

Statistica Statistica Version 4.5, 1994 Tulsa, Oklahoma, USA: StatSoft, Inc.

[23]

Van Laar A., Akça A. Forest Mensuration, 1997 Cuvillier Verlag: Göttingen, Germany

[24]

Wenk, G., Antanaitis, V., Smelko, S. 1990. Waldertragslehre. Deutscher Landwirtschaftsverlag. Berlin., 448 p.

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