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Evaluation of regression models for above-ground biomass determination in Amazon rainforest

Published online by Cambridge University Press:  10 July 2009

Johannes Petrus Maria Overman ,
Hendrik Johannes Louis Witte  and
Juan Guillermo Saldarriaga
Johannes Petrus Maria Overman
Affiliation:
Hugo de Vries Laboratory, Faculty of Biology, University of Amsterdam, Kruislaan 318, 1098 SM Amsterdam, the Netherlands.
Hendrik Johannes Louis Witte
Affiliation:
Hugo de Vries Laboratory, Faculty of Biology, University of Amsterdam, Kruislaan 318, 1098 SM Amsterdam, the Netherlands.
Juan Guillermo Saldarriaga
Affiliation:
Tropenbos-Colombia Programme, A.A. 036062, Santafé de Bogotá, Colombia.
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Abstract

In a mature lowland ‘terra firme’ forest near Araracuara in Colombia, a study was conducted to determine the above-ground biomass by means of regression analysis. Dry weight, DBH (i.e. stem diameter at 1.3 m above ground level, or just above buttresses if these surpassed 1.3 m in height), total height and specific wood density were measured on 54 harvested trees, chosen in a ‘selected random’ manner. Nine different regression models were evaluated for statistical correctness, accuracy of the estimates and for practical use. The logarithmically transformed models with DBH2, and DBH2 × height as independent variables appeared to be the only models meeting the above criteria, the latter being the most accurate.

The exclusion of big trees (DBH >45 cm) from the regression did not result in significant changes of the regression coefficients.

Keywords

AmazonbiomassColombiaDBHlowland rainforestregression models
Type
Research Article
Information
Journal of Tropical Ecology , Volume 10 , Issue 2 , May 1994 , pp. 207 - 218
Copyright
Copyright © Cambridge University Press 1994

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References

LITERATURE CITED

Barney, R. J., Vancleve, K. & Schlentner, R. 1978. Biomass distribution and crown characteristics in two Alaskan Picea mariana ecosystems. Canadian Journal of Forest Research 8:36–41.CrossRefGoogle Scholar
Belsley, D. A., Kuh, E. & Welsh, R. E. 1980. Regression diagnostics. Identifying influential data and sources of collinearity. John Wiley & Sons Inc., New York. 292 pp.CrossRefGoogle Scholar
Draper, N. R. & Smith, H. 1981. Applied regression analysis. 2nd edition. J. Wiley & Sons. 709 pp.Google Scholar
Duivenvoorden, J. F., Lips, J. M., Palacios, P. A. & Saldarriaga, J. G. 1988. Levantamiento ecológico de parte de la cuenca del medio Caquetá en la Amazonia Colombiana. Colombia Amazonica 3(1):7–38.Google Scholar
Duivenvoorden, J. F. & Lips, J. M. In press. Landscape ecology of the middle Caquetá basin. Explanatory notes to the maps. In Saldarriaga, J. & Van der Hammen, T. (eds). Studies on the Colombian Amazon Vol. 3. Programa Tropenbos-Colombia, Bogotá.Google Scholar
Egunjobi, J. K. 1976. An evaluation of five methods for estimating biomass of an even-aged plantation of Pinus caribea L. Oecologia Plantarum 11(2): 109–116.Google Scholar
Glantz, S. A. 1987. Primer of biostatistics. 2nd edition. McGraw-Hill Inc., USA. 379 pp.Google Scholar
Jordan, C. F. 1985. Nutrient cycling in tropical forest ecosystems. Principles and their application in management and conservation. J. Wiley & Sons. 179 pp.Google Scholar
Jordan, C. F. & Uhl, C. 1978. Biomass of a ‘terra firme’ forest of the Amazon Basin. Oecologia Plantarum 13(4):387–400.Google Scholar
Klinge, H. & Herrera, R. 1983. Phytomass structure of natural plant communities on spodosols in Southern Venezuela: The tall Amazon Caatinga forest. Vegetatio 53:65–84.CrossRefGoogle Scholar
Klinge, H., Rodriguez, W. A., Brunig, E. & Fittkau, E. J. 1975. Biomass and structure in a central Amazonian rain forest. Pp. 115–122 in Golley, F. B., Medina, E. (eds). Tropical ecological systems. Springer-Verlag, Berlin. 398.CrossRefGoogle Scholar
Köppen, W. 1936. Das geographische System der Klimaten. Pp. 1–4 in Köppen, W. & Geiger, R. (eds). Handbuch der Klimatologie. Band I, Part C, Berlin.Google Scholar
Moore, P. J. & Chapman, S. B. (eds). 1986. Methods in plant ecology. Blackwell Scientific Publications. 536 pp.Google Scholar
Ogawa, H., Yoda, K., Ogino, K. & Kira, T. 1965. Comparative ecological studies on three main types of forest vegetation in Thailand. II Plant biomass. Nature and lift in Southeast Asia IV:49–80.Google Scholar
Overman, J. P. M. 1989. Quantitative estimators for aerial biomass determination of a mature and a successional forest in the Colombian Amazon. Internal report no. 268. Hugo de Vries Laboratory, University of Amsterdam, Amsterdam. 38 pp.Google Scholar
Overman, J. P. M., Saldarriaga, J. G. & Duivenvoorden, J. F. 1990. Estimación de la biomasa áerea en el bosque del medio Caquetá, Colombia. Colombia Amazonica 4(2): 135–147.Google Scholar
Pastor, J., Aber, J. D. & Melillo, J. M. 1984. Biomass prediction using generalized allometric regressions for some Northeast tree species. Forest Ecology and Management 7:265–274.CrossRefGoogle Scholar
Rodriguez, L. V. A. 1988. Consideraciones sobre la biomassa, composición quimica y dinámica del bosque plúvial trópical de Colinas Bajas, Bajo Calima, Buenaventura, Colombia. CONIF. Serie Documentacion No. 16. 36 pp.Google Scholar
Saldarriaga, J. G., West, D. C., Tharp, M. L. & Uhl, C. 1988. Long-term chronosequence of forest succession in the upper Rio Negro of Colombia and Venezuela. Journal of Ecology 76:938–958.CrossRefGoogle Scholar
Santee, W. R. & Monk, C. D. 1981. Stem diameter and dry weight relationships in Tsuga canadensis (L.) Carr. Bulletin of the Torrey Botanical Club 108(3):320–323.CrossRefGoogle Scholar
Sarmiento, G. 1984. Los ecosistemas y la ecosfera. Editorial Blume, Barcelona. 272 pp.Google Scholar
Satoo, T. & Madgwick, H. A. I. 1982. Forest biomass. M. Nijhoff/W. Junk Publishers. The Hague. 152 pp.Google Scholar
Schmitt, M. D. C. & Grigal, D. F. 1981. Generalized biomass estimation equation for Betula papyrifera Marsh. Canadian Journal of Forest Research 11:837–840.CrossRefGoogle Scholar
Walter, H. & Lieth, H. 1960. Klimadiagramm - Weltatlas. VEB Gustav Fischer Verlag Jena.Google Scholar
Whitmore, T. C., Peralta, R. & Brown, K. 1985. Total species count in a Costa Rican tropical rain forest. Journal of Tropical Ecology 1 (4):375–378.CrossRefGoogle Scholar
Witte, H. J. L., Wijmstra, T. A. & Young, R. 1988. Walter graph, a program for drawing Walter climatic diagrams. Hugo de Vries Technical note 15, University of Amsterdam, Amsterdam. 3 pp.Google Scholar