Technical Note for Journal of Nepal Foresters’ Association, 2011 issue:
Update Allometric Models
Amulya Ratna Tuladhar1
This technical note deals with an urgent and doable opportunity to improve the science for many of Nepal’s forestry and environmental policy needs. For instance, the uncertainties of carbon sequestration estimates of Nepal’s forests can be greatly reduced for more robust policy response to climate change effects (BJ editorial, 2009).
Most of the estimates of carbon sequestration by Nepalese forests have been derived from the empirical measurements of the diameter at breast height (DBH) of some standing trees (Baral et al., 2009; Tewary and Karky, 2007). From this primary DBH variable measured, secondary estimates of other variables of interest are derived from allometric models and tables. These derivative estimates such as carbon percentage, biomass, volume or crown areas come from regression models of tree allometry which have been developed through destructive sampling and measurement of tree parts such as roots, stem, branches, crown area (Brown, 2002; Sapkota and Meilby, 2009). Such empirically developed allometric models are few and far between, from ones developed in Indonesia (Basuki, et al., 2009; Chave, et al., 2005) to ones developed from Nepal over a decade ago (Sharma and Pukkala, 1990).
One reason such models are rare is because it is very difficult to cut trees for research purposes, under scientifically controlled circumstances and measure parts in a systematic way to develop models for each species, area and management scenario. Consequently, most estimates of large-scale forest measures have to depend on whatever allometric models are available. Therefore, the choice and application of these models have to navigate treacherous ecological assumptions to map out the applicability of such research for policy conclusions.
1Professor of Environmental Sciences, amulya_tuladhar@yahoo.com
To illustrate such limitations, this technical note analyzes the ecological limitations of one of the finer research articles of this issue. Shah (2011) in this issue has used an innovative variable, the crown area remotely sensed by GeoEye high-resolution satellite imagery, to model carbon sequestration of Nepalese forests. To do so, he has used an intermediary allometric model to link crown area to dbh and then from dbh to biomass estimates and carbon sequestration models. These allometric models have been drawn from Indonesia (Basuki, et al., 2009) because ‘they share same climate and species family as Nepali trees and because allometric models for Nepal was not available to him’.
“Tropical Sal” of Chitwan.
These claims deserve scrutiny. Do the Sal (Shorea robusta) trees of Chitwan share ecological and botanical characteristics of Indonesian dipterocarps, which justifies use of allometric models, developed there for Nepal?
Chitwan Sal is deciduous, although occurring in tropical zone according to Jackson (1994) following ecological classifications by Dobremez and Stainton whereas the dipterocarp of Indonesia are evergreen rainforests (McNight and Hess, 2000). The key ecological difference is the continual growth of cambium in tropical evergreen forests which have no separate seasons (Goudie, 1993) versus the differentiated seasonal growth of cambium due the presence of a dry season in Chitwan (Jackson, 1994b). Because of such dry season, Chitwan Sal sheds most of its leaves in winter and spring without going completely naked. This ecological habit has implications on the allocation of tree growth mass on its roots, foliage, branch and stem wood that would make the application of Indonesian allometric models of dipterocarps on Nepali Sal questionable at best.
“Old” Allometric Models
Shah (2011) mentions that allometric models for Nepalese Sal were unavailable to him but a number of carbon sequestration studies in Nepal have used allometric models developed by Forest Ministry some time ago (Sharma and Pukkala, 1990). These models were developed at a time when carbon sequestration interest did not exist and the most these models tried to develop were estimates of foliage and branch wood to get estimates of fodder and fuelwood biomass to support livelihood policy (FORESC, 1996; HMG/Nepal, 2000). Generally, the management objectives for Sal in Government natural forests was for timber where the harvest age, called rotation, was between 80 to 120 years (Parkash and Khanna, 1979; NFI/FINIDA. 1999). These models become inadequate for estimating forest goods such as fuelwood, fodder, NTFP and for ecological services such as water flow or carbon sequestration. Therefore, a new updated series of allometric models have to be developed for the changed context, using carefully planned scientific control and destructive sampling of tree parts of different trees of Nepal under different management scenarios. Such a task can be undertaken by Forest Ministry, Forestry Schools or Research Institutions provided a clear mandate be given for tree cutting for research to protect this activity from being accused as illegitimate logging for money.
Reference:
Baral, S.K., R.Malla, S.Ranabhat. 2009. Aboveground carbon stock assessment in different forest types of Nepal. Banko Janakari, 19(2):10-14.
BJ editorial. 2009. Forest Carbon Inventory (editorial). Banko Janakari, 20 (2): 1-2.
Basuki, T. M., van Laake, P. E., Skidmore, A. K. & Hussin, Y. A. 2009. Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests. Forest Ecology and Management, 257(8), 1684-1694.
Brown, S. 2002. Measuring carbon in forests: current status and future challenges. Environmental Pollution, 116(3), 363-372.
Chave, J., Andalo, C. & Brown, S. 2005. Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia, 145(1), 87-99.
FORESC, 1996. Biomass table of ten preferred species by forest users' group in the hills of Nepal. Forest Research and Survey Centre (FORESC), Ministry of Forests and Soil Conservation,
Goudie, Andrew. 1993. The Nature of the Environment. Third Edition. Blackwell.
HMG/Nepal, 2000. Biomass and volume tables with species description for Community forest management. TISC technical paper series no. 101 (90pp)
Jackson, J. K. 1994. Manual of Afforestation in Nepal, Volume 2. Second Edition. Forest Research and Survey Center, Nepal.
Jackson, J. K. 1994b. Manual of Afforestation in Nepal, Volume 1. Second Edition. Forest Research and Survey Center, Nepal.
Parkash, Ram and L. S. Khanna. 1979. Theory and Practice of Silvicultural Systems. Periodical Expert Book Agency. Delhi-110032.
McNight, Tom L. and Darrel Hess. 2000. Physical Geography. Sixth Edition. Prentice Hall.
NFI/FINIDA. 1999. National forest inventory. Department of forest research and survey. Ministry of forest and soil conservation, HMGN/ FINIDA, Report No.74, pp. 48.
Sapkota, Prativa and Henrik Meilby. 2009. Modelling the growth of Sal (Shorea robusta Gaertn. f.) using growth ring measurements. Banko Janakari, Vol. 19(2):25-32
Shah, Shyam K. 2011. Use of very high-resolution imagery for estimation of above ground carbon stock of stand-alone trees of dominant species of subtropical forest. The Nepal Journal of Forestry, Vol XIV(1):3-22.
Sharma, E.R. and Pukkala, T. 1990. Volume and biomass prediction equations of forest trees of Nepal. Forest survey and statistical division. Ministry of forest and soil conservation, Kathmandu, Nepal
Tewary, Ashish and Bhaskar Singh Karky. 2007. Carbon Measurement Methodology and Results. IN Kamal Banskota, Bhaskar Singh Karky and Margaret Skutsch (edt.) Reducing Carbon Emissions through Community-Managed Forests in the Himalaya. ICIMOD. Nepal.