Development of allometric equation for biomass estimation of Cedrus deodara in dry temperate forests of Northern Pakistan

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Research Paper 01/08/2016
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Development of allometric equation for biomass estimation of Cedrus deodara in dry temperate forests of Northern Pakistan

Anwar Ali, Muhammad Iftikhar, Sajjad Ahmad, Sultan Muhammad, Ayaz Khan
J. Bio. Env. Sci.9( 2), 43-50, August 2016.
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The accuracy of biomass estimates depends on the availability of reliable allometric models to infer biomass of trees from forest inventory data. The current study was undertaken to develop local allomteric equation and biomass expansion factor for Cedrus deodara. Data was collected from 32 sample trees which were felled and measured for the study in natural dry temperate forests of Gilgit-Baltistan, Pakistan. Diameter at Breast Height (DBH) and total height of the sample tree were measured before felling. After felling, bole, branches and brushwood were separated and weighed on the spot. Samples were taken from bole, branches and brushwood for drying in the oven at 1050 C till they gained constant weight. The allometric equation was developed through logarithmic transformation of dependent and independent variables. Results showed good relationship between biomass as dependent variable and DBH and height as independent variables. The R2 was found to be 0.98. The F and P values show that  the model is significant. Standard Error and sum of square (SS) of the residuals also indicate good fit of the model. The BEF for Cedrus deodara varied between 1.17 and 2.07 with a mean of 1.37±0.039 for trees with DBH>20 cm. The percentage contribution of  bole, branches and brushwood in the total dry biomass of  Cedrus deodara was found to be 72.95%, 10.43% and 16.62% respectively. Basic wood density or specific gravity was calculated as 0.46 g/cm3. The study recommends development of similar allometric equation for biomass estimation of the species in moist temperate forests of Pakistan where climatic conditions are different from the study area.


Agrawal A, Nepstad D, Chhatre  A. 2011. Reducing emissions from deforestation and forest degradation. Annual Review of Environment and Resources 36, 373–396.

Ahmed J, Husain RW. 1994. Biomass production  of common farmland trees, Gilgit Region. Aga Khan Rural Support Programme, Gilgit.

Brown S, Gillespie  AJR,  Lugo AE. 1989. Biomass estimation methods for tropical forests with applications to forest inventory data. Forest Science  35, 881–902.

Brown S, Iverson LR. 1992. Biomass estimates for tropical forests. World Resources Review 4, 366-384.

Brown S. 1997. Estimating Biomass and Biomass Change of Tropical Forests: A Primer. UN FAO Forestry Paper 134. Food and Agriculture Organization, Rome.

Cairns MA, Olmsted I, Granados J, Argaez J. 2003. Composition and aboveground tree biomass of a dry semi-evergreen forest on Mexico’s Yucatan Peninsula. Forest Ecology & Management 186, 125–132.

Cannell MGR. 1984. Woody biomass of forest stands. Forest Ecology & Management 8, 299–312.

Chave J, Ansalo C, Brown C. 2005. Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia, 145, 87-99.

Chave J, Rejou-Mechain M,  Burquez A, Chidumayo E, Colgan MS, Delitti WBC. 2014. Improved allometric models to estimate the aboveground biomass of tropical trees. Global Change Biology  20, 3177–3190

Goodman RC, Phillips OL, Baker TR. 2014. The importance of crown dimensions to improve tropical tree biomass estimates. Ecological Applications  24(4), 680–698.

Government of Pakistan. 2003. Northern Areas State of Environment and Development. IUCN Pakistan, Karachi.

IPCC. 2006. IPCC Guidelines for National Greenhouse Gas Inventories. Volume 4: AFOLU. Available from:

IPCC.  2007. Summary for Policymakers: Synthesis Report. An assessment of the Intergovernmental Panel on Climate Change. Available from:

Levy PE, Hale SE, Nicoll BC. 2004. Biomass expansion factors and root : shoot ratios for coniferous tree species in Great Britain. Forestry 77(5), 421-430.

Litton MC. 2008. Allometric Models for Predicting Aboveground Biomass in Two Widespread Woody Plants in Hawaii. Biotropica 40(3), 313–320.

Litton C, Sandquist MDR, Cordell S. 2006. Effects of nonnative grass invasion on aboveground carbon pools and tree population structure in a tropical dry forest of Hawaii. Forest Ecology & Management 231, 105–113.

Maheshwari P, Chhaya B. 1970. Cedrus Botanical Monograph No.5. CSIR, New Delhi.

Malik MA. 1970. Local Volume Tables of the coniferous species of North West Pakistan. Forest Record No. 3. Pakistan Forest Institute, Peshawar.

Mandal RA, Yadav BKV, Yadav KK, Dutta IC, Haque SM. 2013. Development of Allometric Equation for Biomass Estimation of Eucalyptus camaldulensis: A study from Sagarnath Forest, Nepal. International Journal of Biodiversity and Ecosystems 1(1), 001-007, Available online at

Picard N, Saint-André L, Henry M. 2012. Manual for building tree volume and biomass allometric equations: from field measurement to prediction. Food and Agricultural Organization of the United Nations, Rome, and Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Montpellier.

Pilli R, Anfodillo T, Carrer M. 2006. Towards a functional and simplified allometry for estimating forest biomass. Forest Ecology & Management 237, 583–593.

Sheikh MI. 1993. Trees of Pakistan. Pakistan Forest Institute, Peshawar

Siddiqui KM, Ayaz M, Mahmood I. 1996. Properties and uses of Pakistani timbers. Pakistan Forest Institute, Peshawar.

Whitmore TC. 1984. Tropical Rainforests of the Far East, Oxford University Press, London, 112–113.

Williamson GB, Wiemann MC. 2010. Measuring wood specific gravity correctly. American Journal of Botany 97(3), 519–524.