Status of Tree Volume Calculation and Development of Allometric Equations in Pakistan

Syed Moazzam Nizami; Syed Mahmood Nasir

doi:10.36808/if/2016/v142i1/87186

Status of Tree Volume Calculation and Development of Allometric Equations in Pakistan

Authors

Syed Moazzam Nizami Department of Forestry & Range Management, PMAS Arid Agriculture University, Rawalpindi 46300
Syed Mahmood Nasir Department of Forestry & Range Management, PMAS Arid Agriculture University, Rawalpindi 46300

DOI:

https://doi.org/10.36808/if/2016/v142i1/87186

Keywords:

REDD , Allometric Models, Biomass, Tree Volume, Forest Ecosystem, Pakistan.

Abstract

This paper reviews and analyses the biomass and volume allometric models that have been developed for various tree species in forest ecosystem types in Pakistan. The mathematical form of the allometric model, the associated statistical parameters, as well as information about the size (tree diameter and height) and the number of the sample trees used to develop models were collected from various sources published in scientific (both international and national) journals, student thesis and conference presentations. The total number of allometric models that have been reviewed in this paper are 18 consisting of 16 models for estimating biomass of tree components and 2 models for calculating stem volume. The spatial distribution analysis showed that these models have been prepared for dominant species of sub-tropical and coniferous sub-alpine forest ecosystems of Pakistan. These species include Acacia modesta (Phulai), Olea ferruginea (Kahu), Pinus roxburghii (Chir) and Betula uitlis (Birch). In biomass models, both above and below ground biomass have been considered. Besides information on model distribution, data coverage, this paper analyses the gaps and proposes strategies to fill the gaps. The collected information on the models provides a basic tool for estimation of forest biomass relevant to its ecosystem. This information also provides input to support the national forest carbon accounting for REDD+.

References

Abbas M., Nizami S.M., Saleem A., Gulzar S. and Khan I.A. (2011). Biomass expansion factors of Olea ferruginea (Royle) in sub tropical forests of Pakistan. African Journal of Biotechnology,10(9):1586-1592.

Alam K. and Nizami S.M. (2014). Assessing Biomass Expansion Factor of Birch Tree Betula Utilis D. DON. Open Journal of Forestry , 4:181-190.

Baskerville G.L. (1972). Use of logarithmic regression in estimation of plant biomass, Canadian Journal of Forestry, 2:49-53.

IPCC (2003). International Panel on Climate Change: Good Practice Guidance for Landuse, Landuse Change and Forestry. In: J. Penman, M. Gytarsky, T. Hiraishi, T. Krug, D. Kruger, R. Pipatti, L. Buendia, K. Miwa, T. Ngara, K. Tanabe and F. Wagner (Eds.) Institute for Global Environmental Strategies, Kanagawa, Japan.

IPCC (2006). IPCC Guidance for national Greenhouse Gas Iventories, prepared by national greenhouse gas inventories program, Eggleston, In: H.S., Buendia, L., Miwa, K.Ngara, T. and Tanabe, K.(Eds). GES, Japan.

Jenkin J.C., Chojnacky D.C., Heath L.S. and Birdsey R.A. (2003). National Scale biomass estimators for United States tree species, Forest Science, 49: 12-35.

Krisnawati H. dan Bustomi S. (2002). Tabel isi pohon jenis bintangur (Callophylum spp) di KPH Sanggu, Kalimantan Barat. Buletin Peneltian Hutan, 630:1-15.

Krisnawati H. dan Bustomi S. (2004). Model Penduga isi pohon bebas cabang jenis sungkai (Peronema canescens) di KPH Banten , Kalimantan Barat. Buletin Peneltian Hutan, 644:39-50.

Lehtonen A., Makipaa R., Heikkinen J., Sievanen R., and Liski J. (2004). Biomass expansion actors (BEFs) for Scot pine, Norway spruce ad Birch according to the stand age of boreal forests, Forest Ecology and Management,188: 211-224.

Nizami S.M. ( 2012). Assessment of the carbon stocks in sub tropical forests of Pakistan for reporting under Kyoto protocol. J.For. Res., 23(3): 377-38.

Nizami S.M., Mirza S.N., Livesly S., Arndt S., Fox J.C., Khan I.A. and Mahmood T. (2009). Estimating carbon stocks in sub tropical pine (Pinus roxburghii) forests of Pakistan. Pak. J.Agric. Sci., 46(4): 266-270.

Peresol B.R. (1999). Assessing trees and stand biomass: a review with example and comparison. Forest Science, 45: 573-593.

Snowdon P. (1990). A ratio estimator for bias correction in logarithmic regression, Canadian Journal of Forestry, 21: 720-724.

Sprugel D.G. (1983). Correcting for bias in log-transformed allometric equations.Ecology, 64: 209-210.

Wahjono D., Krisnawati H.D. H.(1995). Table isi pohon sementara jenis Gmelina arborea di Daerah Subanjareji, Sumatera Selatan, Buletin Peneltian Hutan, 587: 31-44.

Walayat R. (1988). Research and research methods in forestry. Punjab Forestry Research Institute.Gatwala- Faisalabad. p.41.

Zianis D. and Mencuccini M. (2003). Above ground biomass relationship of beech ( Fagus moesiaca CZ.) Tree in Vmio mountain, Northren Greece, and generalised equations for Fagus species, Ann. of Forest Science, 60:439-448.