Bülent SAĞLAM, Ömer KÜÇÜK, Ertuğrul BİLGİLİ, Bahar DİNÇ DURMAZ, İsmail BAYSAL

Estimating Fuel Biomass of Some Shrub Species (Maquis) in Turkey

Regression equations were developed to estimate shrub fuel biomass of a maquis formation in western Turkey. The relationships between some shrub characteristics and live, dead, available (for consumption), and total fuel biomass were determined by simple/multiple linear regression. Measured biomass values for live, available, and total fuels varied from 0.70 to 6.74 kg m-2, from 0.78 to 3.03 kg m-2, and from 1.06 to 7.72 kg m-2, respectively. The results obtained indicated that shrub fuel biomass could be satisfactorily predicted using the regression equations generated. The resulting equations were able to account for 60% to 89% of the observed variation (P < 0.05) in the fuel biomass categories studied. The results of this study should be invaluable in many forestry disciplines, including ecology, protection, and management.

Anahtar Kelimeler:

Fuel biomass, regression equations, shrubland, maquis, Turkey

Estimating Fuel Biomass of Some Shrub Species (Maquis) in Turkey

Keywords:

Fuel biomass, regression equations, shrubland, maquis, Turkey,

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Beaza, M.J., J. Raventós and A. Escarré. 1998. Structural changes in relation to age in fire-prone Mediterranean shrublands. In Proceedings of the International Conference on Forest Fire Research, (Ed. DX Viegas), Vol. 2, Coimbra, pp. 2567-2578.
Beaza, M.J., M. De Luis, J. Raventós and A. Escarré. 2002. Factors influencing fire behaviour in shrublands of different stand ages and the implications for using prescribed burning to reduce wildfire risk. J. Environ. Manag. 65: 199-208.
Bilgili, E. and B. Saglam. 2003. Fire behavior in maquis in Turkey. Forest Ecol. Manag. 184: 201-207.
Brown, J.K. 1976. Estimating shrub biomass from basal stem diameters. Can. J. For. Res. 6: 153-158.
Brown, J.K. 1982. Fuel and fire behavior predicting in big sagebrush. USDA Forest Service, Research Paper, INT-290, Ogden, 10 pp.
Buech, R.R. and D.J. Rugg. 1995. Biomass relations for components of five Minnesota shrubs. North Central Forest Experiment Station, USDA Forest Service, Research Paper, NC-325, ST Paul, MN, 14 pp.
Countryman, C.M. 1964. Mass fires and fire behavior. USDA Forest Service, Research Paper, PSW-19, Berkeley, CA.
Deeming, J.E., J.W. Lancester, M.A. Fosberg, R.W. Furman and M.J. Schroeder. 1972. The National Fire-Danger Rating system. USDA Forest Service, Research Paper, RM-84, 165 pp.
De Luis, M., M.J. Baeza, J. Raventós, and J.C.G. Hidalgo. 2004. Fuel characteristics and fire behavior in mature Mediterranean gorse shrublands. Int. J. Wildland Fire. 13: 79-87.
Dimitrakopoulos, A.P. 2002. Mediterranean fuel models and potential fire behavior in Greece. Int. J. Wildland Fire. 11: 127-130.
Fernandes, P.M. 1998. Fire spread modeling in Portuguese Shrubland, III International Confer. On Forest Fire Research, 14thConference on Fire and Forest Meteorology, Vol I, Luso, pp. 661-628.
Fernandes, P.A.M. 2001. Fire spread prediction in shrub fuels in Portugal. Forest Ecol. Manag. 144: 67-74.
Fogarty, L.G. and H.G. Pearce. 2000. Draft field guides for determining fuel loads and biomass in New Zealand vegetation types. Fire Technology Transfer Notes, Forest and Rural Fire Research, Number 21, pp. 1-17.
Gambiza, J., B.M. Campell, S.R. Moe and P.G.H. Frost. 2005. Fire behaviour in semi-arid Baikiaea plurijuga savanna woodland on Kalahari sands in western Zimbabwe. S. Afr. J. Sci. 101: 239- 244.
Gray, K.L. and E. Reinhardt. 2003. Analysis of algorithms for predicting canopy fuel, 2ndInternational Wildland Fire Ecology and Fire Management Congress and Fifth Symposium on Fire and Forest Meteorology, Orlando, Florida, p. P5.8.
Grigal, D.F. and L.F. Ohmann. 1977. Biomass estimation for some shrubs from northeastern Minnesota. North Central Forest Experiment Station, Forest Service, U.S. Department of Agriculture, Research Note, NC-226, 3 pp.
Helly, C., S. Alleaume, R.J. Swap, H.H. Shugart and C.O. Justice, 2003. SAFARI-2000 characterization of fuels, fire behavior, combustion completeness, and emissions from experimental burns in infertile grass savannas in western Zambia. J. Arid Environ. 54: 381-394.
Hitchcock, H.C. and J.P. McDonnell. 1979. Biomass measurement: a synthesis of the literature. Ft Collins, CO: IUFRO workshop proceedings on forest resource inventories, July 23-26 (2), pp. 544-595.
ICONA. 1993. Manual de Operaciones Contra Incendios Forestales, Instituto Nacional Para la Concervacion de la Naturaleza (Spain), Madrid, pp. 283.
Lamberty, B.B., C. Wang and S.T. Gower. 2002. Aboveground and belowground biomass and sapwood area allometric equations for six boreal tree species of northern Manitoba. Can. J. For. Res. 32: 1441-1450.
Martin, R.E., D.W. Frewing and J.L. McClanahan. 1981. Average biomass of four northwest shrubs by fuel size class and crown cover. Pacific Northwest Forest and Range Service Experiment Station, USDA Forest Service, Research Note, PNW-374, pp. 6.
Mikaelian, M.T. and M.D. Korzukhin. 1997. Biomass equations for sixty-five North American tree species. Forest Ecol. Manag. 97: 1- 24.
OGM. 2006. Republic of Turkey Ministry of Forestry, General Directorate of Forestry in Turkey, Ankara, Turkey, 160 pp.
Ohmann, L.F., D.F. Grigal and R.B. Brander. 1976. Biomass estimation for five shrubs from northeastern Minnesota. USDA Forest Service, Research Paper, NC-133, St. Paul, MN, 11 pp.
Ottmar, R.D., R.E. Vihnanek and J.C. Regelbrugge. 2000. Stereo photo series for quantifying natural fuels-Vol. IV: pinyon-juniper, chaparral, and sagebrush types in the southwestern United States. National Wildfire Coordinating Group, National Interagency Fire Center, PMS 833: Boise, ID.
Papió, C. and L. Trabaud. 1991. Comparative study of aerial structure of five shrubs of Mediterranean shrublands. Forest Sci. 37: 146- 159.
Peek, J.M. 1970. Relation of canopy area and volume to production of three woody species. Ecology. 51: 1098-1101.
Pereira, J.C., N.M. Sequeira and J.M. Carreiras. 1995. Structural properties and dimensional relations of some Mediterranean shrub fuels. Int. J. Wildland Fire. 5: 35-42.
Richard, R.B. and D.J. Rugg. 1989. Biomass relations of shrub components and their generality. Forest Ecol. Manag. 26: 257- 264
Rothermel, R.C. 1972. A mathematical model for predicting fire spread in wildland fuels. USDA Forest Service, Intermountain Forest and Range Experiment Station Research Paper, INT-115, Ogden, UT, 49 pp.
Roussopoulos, P.J. and R.M. Loomis. 1979. Weights and dimensional properties of shrubs and small trees of the Great Lakes conifer forest. USDA Forest Service North Central Experiment Station, Research Paper, 178, pp. 6.
Sah, J.P., M.S. Ross, S. Koptur and J.R. Snyder. 2004. Estimating aboveground biomass of broadleaved woody plants in the understory of Florida Keys pine forests. Forest Ecol. Manag. 203: 319-329.
Smith, W.B. and J.B. Gary. 1983. Allometric biomass equations for 98 species of herbs, shrubs, and small trees. North Central Forest Experiment Station, US Department of Agriculture, Research Note, NC-299, pp. 8.
Soto, B., R. Basanta and F. Diaz- Ferros. 1997. Effects of burning on nutrient balance in an area (Ulex europaues L.) scrub. Sci. Total Environ. 11: 271-281.
Specht, R.L. 1969. A comparison of the sclerophyllous vegetation characteristics of Mediterranean type climates in France, California and southern Australia. II. Dry matter, energy and nutrient accumulation. Aust. J. Bot. 17: 293-208.
Weise, D.R., X. Zhou, L. Sun and S. Mahalingam, 2005. Fire spread in chaparral-‘go or no go?’. Int. J. Wildland Fire. 14: 99-106.
Zhou, X., S. Mahalingam and D. Weise. 2007. Experimental study and large eddy simulation of effect of terrain slope on marginal burning in shrub fuel beds. Proc. Combust. Inst. 31: 2547-2555.