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Estimation of carbon emissions from loblolly pine (Pinus taeda L.) forest plantations using Allometric equations | ||
| تحقیقات حمایت و حفاظت جنگلها و مراتع ایران | ||
| Article 7, Volume 16, Issue 1 - Serial Number 31, September 2018, Pages 88-101 PDF (940.58 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.22092/ijfrpr.2018.117135 | ||
| Authors | ||
| K. Taheri Abkenar* ; A. Heidari Safari Kouchi; S. Dehghanzad; S. Mostahsanpour; F. Moradianfard | ||
| Abstract | ||
| Fire is one of the main causes of carbon emission from forest stands. Therefore, the present study was conducted to investigate the amount of carbon emission caused by fire in the loblolly pine plantations in the Takhsam region that located in area of Lakan city of Guilan province. For this purpose, a burned region with 5 hectares’ area and a control region next to burned stand were selected and 5 circle sample plots with 4r (400 square meters) areas were accomplished in two stands by random-systematic method and trees diameter at breast height and total height in sample plots were taken. Then, by investigating the conducted studies Finally, 5 models selected to calculate the trees biomass in two stands. According to the results of this study, the average of trees biomass in the control stand was estimated between 93086.98 (P model) to 10536.9 kg/ha (model M) and the average of trees biomass in the burnt stand was estimated from 67829.73 (P model) to 83509.04 kg /ha (model M). The results of this study also showed that the carbon stock content in the control and fired stands was 48.853 and 38.357 tons per hectare respectively which showed significant difference in t-test. The amount of carbon emissions from the fire was 10495.69 tons per hectare and the total carbon emission at the surface of the fire spot was about 52.478 tons. Among the selected models, P model (BD = β0 +β1(DBHβ2)) provided the least standard deviation in the calculations. | ||
| Keywords | ||
| Carbon dioxide; global warming; Greenhouse gases; Loblolly pine; biomass | ||
| References | ||
|
-Ayoade, M., Okojie, L. and Akerele, D. 2018. Forest carbon sequestration supply function for African countries: An econometric modelling approach. Forest Policy and Economics, 90: 59-66. -Amiro, B.D., Todd, J.B., Wotton, B.M., Logan, K.A., Flannigan, M.D., Stocks, B.J., Mason, J.A., Martell, D.L. and Hirsch, K.G. 2001. Direct carbon emissions from Canadian forest fires, 1959–1999, Canadian Journal of Forest research, 31: 512-525. -Aertsen, W., Kint, V., Von Wilpert, K., Zirlewagen, D., Muys, B. and Van Orshoven, J. 2012. Comparison of location- based, attributebased and hybrid regionalization techniques for mapping forest site productivity. Forestry, 85: 539– 550. -Blankenship, B.A. and Arthur, M.A. 2006. Stand structure over nine years in burned and fire-excluded oak stands on the Cumberland Plateau, Kentucky. Forest Ecology and Management, 225: 134-145. -Bragg, D.C. 2011. Modeling Loblolly Pine Aboveground Live Biomass in a Mature Pine-hardwood Stand: A Cautionary Tale. Journal of the Arkansas Academy of Science, 65: 31-38. -Cannell, G.R. 2003. Carbon Sequestration and Biomass Energy Offset Theoretical, Potential and Achievable Capacities Globally in Europe and UK. Biomass and Bio energy, 24: 97-116. -Cloy, J.M. and. Smith. K.A. 2018. Greenhouse Gas Sources and Sinks, Reference Module in Earth Systems and Environmental Sciences, 2: 391-400. -Ding, F., Fu, J., Jiang, D., Hao, M. and Lin, G. 2018. Mapping the spatial distribution of Aedes aegypti and Aedes albopictus. Acta Tropica, 178: 155–162. -Doruska, P.F. and Patterson, D.W. 2006. An individual tree, merchantable stem, green weight equation for loblolly pine pulpwood in Arkansas, including seasonal effects. Southern Journal of Applied Forestry, 30(2): 61-65. -Elliott, K.J., Vose, J.M. and Hendrick, R.L. 2009. Long-term effects of high intensity prescribed fire on vegetation dynamics in the Wine Spring Creek Watershed, western North Carolina, USA. Fire Ecology, 5 (2): 66- 85. -Gholami Gohareh, R., Sadeghi, S.H.R., Mirnia, S.Kh. and Soleimankhani, Z. 2012. Effects of Light Firing on Infiltration, Runoff and Sediment in Rangeland in Kodir Area, Iran. 5(17): 23-32 (In Pesrian). -Gorji Bahri, Y., Hemati, A. and Mahdavii, R. 2007. Effects of thinning intensities on Loblolly pine (Pinus taeda L.) plantation in Guilan province (Iran). Iranian Journal of Forest and Poplar Research, 15(3): 217-233 (In Pesrian). -Guevara, J.C., Stasi, C.R., Wuillod, C.F. and Estevez, O.R. 1999. Effects of fire on rangeland vegetation in south-western Mendoza plains (Argentina): composition, frequency, biomass, productivity and carrying capacity. Journal of Arid Environments, 41: 27-35. -Heidari Safari Kouchi, A., Rostami Shahraji, T. and Iran Manesh, Y. 2015. Comparison of allometric equations to estimate the above-ground biomass of species (Case study; poplar plantations in Chaharmahal and Bakhtiari province, Iran. Caspian Journal of Environmental Sciences, 13:(3)-237-246 (In Pesrian). -Heidari Safari Kouchi, A., Moradian Fard, F., Rostami Shahraji, T. and Iranmanesh, Y. 2017. Biomass and carbon allocation of 10-years-old poplar (Populous alba L.) plantations of west Iran. Forest Research: Open access, 6(2): 1-13 (In Pesrian). -Hosseini, S.S. and Hosseini, V. 2014. Effect of fire occurrence through the time on changes of K, Mg, Ca and EC of forest soil. Iranian Journal of Forest and Poplar Research, 22(1): 141-151(In Pesrian). -IPCC. 2001. Intergovernmental Panel on Climate Change, Climate Change 2001: The Scientific Basis. Cambridge University Press, Cambridge, UK, 881p. -Jenkins, JC., Chojnacky, DC., Heath, L.S. and Birdsey, R.A. 2003. National-scale biomass estimators for United States tree species. Forest Science, 49(1): 12-35. -Lal, R. 2004. Soil carbon sequestration to mitigate climate change. Geoderma, 123: 1-22. -Linton, J.V (Ed). 2004. Wildfire issues and consequences. Nova Science Publishers, Inc, NY, 127P. -Margono, B.A., Potapov, P.V., Turubanova, S., Stolle, F. and Hansen, M.C. 2014. Primary forest cover loss in Indonesia over 2000-2012. Nature Climate Change, 4: 730–735. -McElligott, K.M. and Bragg, D.C. 2013. Deriving biomass models for small-diameter loblolly pine on the Crossett Experimental Forest. Journal of the Arkansas Academy of Science, 67: 94-102. -Michaletz, S.T., Cheng, D., Kerkhoff, A.J. and Enquist, B.J. 2014. Convergence of terrestrial plant production across global climate gradients. Nature, 512, 39. -Mighi, A. 2008. Effect of thinning on loblolly pine (Pinus taeda) regeneration and some soil characteristics, Case study of Pinus taeda forestry area in the city of Pilmabra, Guilan province. Master's thesis, Guilan University, 60p (In Pesrian). -Moghaddam, M.R. 2001. Statistical and descriptive ecology of vegetation. Tehran University Press, 285p (In Pesrian). -Mouillot, F. and Field, C.B. 2005. Fire history and the global carbon budget: a 11 fire history reconstruction for the 20th century. Global Change Biology. 11, 398–420. -Mouillot, F., Narasimha, A., Balkanski, Y., Lamarque, J.F. and Field, C.B. 2006. Global carbon emissions from biomass burning in the 20th century. Geophysical Research Letters. 33, 801. -Ostad hashemi, R., Rostami Shahraji, T. and Mohammadi Limaei, S. 2017. Predictable carbon stock from different forest plantations species (case study: Astara city), The first national conference on conservation and reserve of Arasbaran forests, Research Center and Agricultural and Natural Resources Education of East Azarbaijan, Tabriz. Iran.10p (In Pesrian). -Posey, TE., Doruska, PF. and Patterson, D.W. 2005. Individual-tree green weight equations for loblolly pine (Pinus taeda L.) sawtimber in the Coastal Plain of Arkansas. Pages 53-57 in McRoberts, RE., Reams, GA., Van Deusen, PC., McWilliams, WH. and CJ Cieszewski (eds.), Proceedings of the fourth annual Forest Inventory and Analysis symposium. USDA Forest Service General Technical Report, NC-252. -Parsapour, M.K., Sohrabi, H., Soltani, A. and Iranmanesh, Y. 2013. Allometric equations for estimating biomass for four poplar species at Charmahal and Bakhtiari province. Iranian Journal of Forest and Poplar Research, 21(3): 528-517(In Pesrian). -Rahimi, I. and Esmaeili, A. 2010. Investigation of fire potential of forests and rangelands using satellite imagery in forests: Marivan. Geomatics conference, 2005: 124-127 (In Pesrian). -Reyer, C., Lasch-Born, P., Suckow, F., Gutsch, M., Murawski, A., and. Pilz, T. 2014. Projections of regional changes in forest net primary productivity for different tree species in Europe driven by climate change and carbon dioxide. Annals of Forest Research, 71: 211–225. -Segura, M. and Kanninen, M. 2005. Allometric models for tree volume and total aboveground biomass in a tropical humid forest in Costa Rica. Biometrica, 37(1): 2-8. -Serrasolsas, I. and Vallejo, V.R. 1999. Soil fertility after fire and clear-cutting. In: Rodà F. et al. _eds_, Ecology of Mediterranean evergreen oak forest. Ecological Studies, 137: 223–235. -Singh, V., Tewari, A., Kushwaha, S.P.S. and Dadhwal, V.K. 2011. Formulating allometric equations for estimating biomass and carbon stock in small diameter trees. Forest Ecology and Management, 261: 1945–1949. -Stewart, W., Sharma, B., York, R., Diller, L., Hamey, N., Powell, R. and Swiers, R. 2016. Forestry Ecosystems of California ed H A Mooney and E S Zavaleta (Berkeley, CA, University of California Press, 817–34. -Van Der Werf, G.R., Randerson, J.T., Giglio, L., Collatz, G.J., Kasibhatla, P.S. and Arellano, A.F. 2006. Interannual variability of global biomass burning emissions from 1997 to 2004. Atmospheric Chemistry and Physics, 6: 3175–3226. -Wan, Ji-Zh., Wang, Ch-J., Qu, H., Liu, R. and -Xi-Zh, Zh. 2018. ulnerability of forest vegetation to anthropogenic climate change in China. Science of the Total Environment, 621: 1633–1641. -Wan, S., Hui, D. and Luo, Y. 2001. Fire effects on nitrogen pools and dynamics in terrestrial ecosystems: a meta-analysis. Ecological Applications Journal, 11: 1349-1365. -William, E. 2002. Carbon Dioxide fluxes in a semiarid environment with high carbonate Soils. Agricultural and Forest Meteorology, 116: 91-102. -Zhu, B., Wang, X., Fang, W., Piao, S., Shen, H., Zhao, S. and Peng, C. 2010. Altitudinal changes in carbon storage of temperate forests on Mt Changbai, Northeast China. Carbon cycle process in East Asia, 123: 439–452. -Zianis, D., Muukkonen, P., Mäkipää, R. and Mencuccini, M. 2005. Biomass and stem volume equations for tree species in Europe. Silva Fennica Monograph, 4. 63p. -Zobeiri, M. 2001. Forest Biometry, Tehran University Press, 411p (In Pesrian). | ||
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