Saleem, G., Salih, T., MUSTAFA, Y. (2025). Estimating Biomass and Carbon Sequestration of Stem and Branches of Pinus brutia Ten. Trees in Duhok Governorate, Iraq. , 16(4), 129-138. doi: 10.58928/ku25.16415
Glavesh Yaseen Saleem; tariq Y Salih; Yaseen TAHA MUSTAFA. "Estimating Biomass and Carbon Sequestration of Stem and Branches of Pinus brutia Ten. Trees in Duhok Governorate, Iraq". , 16, 4, 2025, 129-138. doi: 10.58928/ku25.16415
Saleem, G., Salih, T., MUSTAFA, Y. (2025). 'Estimating Biomass and Carbon Sequestration of Stem and Branches of Pinus brutia Ten. Trees in Duhok Governorate, Iraq', , 16(4), pp. 129-138. doi: 10.58928/ku25.16415
Saleem, G., Salih, T., MUSTAFA, Y. Estimating Biomass and Carbon Sequestration of Stem and Branches of Pinus brutia Ten. Trees in Duhok Governorate, Iraq. , 2025; 16(4): 129-138. doi: 10.58928/ku25.16415

Estimating Biomass and Carbon Sequestration of Stem and Branches of Pinus brutia Ten. Trees in Duhok Governorate, Iraq

Kirkuk University Journal for Agricultural Sciences (KUJAS)
Volume 16, Issue 4, December 2025, Pages 129-138    PDF (810.21 K)
Document Type: Research Paper
DOI: 10.58928/ku25.16415
Authors
Glavesh Yaseen Saleem* 1; tariq Y Salih1; Yaseen TAHA MUSTAFA2
1university of Duhok
2Department of Environmental Science, College of Science, University of Zakho,
Abstract
Abstract
This study aims to estimate the biomass and carbon sequestration potential of naturally occurring Calabrian pine (Pinus brutia Ten.) in the trunk and branches across three distinct sites in the Duhok Governorate, Kurdistan Region of Iraq. At each site, a total of 43–60 trees were measured to develop robust allometric models for estimating tree biomass and carbon storage, using diameter at breast height (DBH) and total tree height as key predictors. Site-specific variables such as elevation, slope, and soil characteristics, which can significantly influence biomass accumulation and carbon dynamics, were also taken into account. Tree selection encompassed a range of size classes and age groups to ensure a representative sampling of the natural forest structure and growth variability. Carbon content was estimated by applying a widely accepted carbon conversion factor of 0.5 to the calculated dry biomass. The findings reveal that trees in Zawita store substantially more carbon, with an average of 326.7 kg for a tree with a 40 cm DBH, compared to 123.6 kg in Atrosh and 157.9 kg in Belkef. The highest overall carbon stock in trunk and branches was recorded in Zawita, reaching up to 577.6 kg for a tree with 50 cm DBH, indicating superior sequestration capacity and higher biomass productivity relative to the other sites. These results carry important implications for forest management, carbon accounting, and climate change mitigation strategies in the region. Moreover, the study provides a valuable baseline for long-term ecological monitoring, sustainable forestry planning, and carbon stock assessments. By emphasizing the ecological and climate-related importance of natural pine forests in semi-arid mountainous environments, the research supports conservation initiatives and underscores the role of Pinus brutia as a vital carbon sink contributing to both regional sustainability and global climate goals.
Keywords
Pinus brutia Ten; carbon storage; height-diameter relationship; allometric equation; Biomass estimation
References
  • Tolunay, D. (2009). Carbon concentrations of tree components, forest floor, and understory in young Pinus sylvestris stands in north-western Turkey. Scandinavian Journal of Forest Research, 24(5), 394–402. https://doi.org/10.1080/02827580903164471 .
  • Tolunay, D. (2011). Total carbon stocks and carbon accumulation in living tree biomass in forest ecosystems of Turkey. Turkish Journal of Agriculture and Forestry. https://doi.org/10.3906/tar-0909-369 .
  • Fahey, T. J., Woodbury, P. B., Battles, J. J., Goodale, C. L., Hamburg, S. P., Ollinger, S. V., & Woodall, C. W. (2010). Forest carbon storage: ecology, management, and policy. Frontiers in Ecology and the Environment, 8(5), 245–252.
  • Frouz, J., Pižl, V., Cienciala, E., & Kalčík, J. (2009). Carbon storage in post-mining forest soil, the role of tree biomass and soil bioturbation. Biogeochemistry, 94, 111–121.
  • Berndes, G., Abt, B., Asikainen, A., Cowie, A., Dale, V., Egnell, G., Lindner, M., Marelli, L., Paré, D., & Pingoud, K. (2016). Forest biomass, carbon neutrality, and climate change mitigation. From Science to Policy, 3(7), 1–27.
  • Specht, A., & West, P. W. (2003). Estimation of biomass and sequestered carbon on farm forest plantations in northern New South Wales, Australia. Biomass and Bioenergy, 25(4), 363–379.
  • [7] Archer, M. D., & Barber, J. (2004). Photosynthesis and photoconversion. Molecular to Global Photosynthesis, 2, 1–42.
  • [8] Shahbaz, S. I. (2010). Trees and Shrubs, a field guide to the trees and shrubs of Kurdistan Region of Iraq. UOD Press.
  • Durkaya, B., Durkaya, A., Makineci, E., & Ülküdür, M. (2013). Estimation of above-ground biomass and sequestered carbon of Taurus Cedar (Cedrus libani L.) in Antalya, Turkey. Iforest-Biogeosciences and Forestry, 6(5), 278.
  • Zhang, L., Deng, X., Lei, X., Xiang, W., Peng, C., Lei, P., & Yan, W. (2012). Determining stem biomass of Pinus massoniana L. through variations in basic density. Forestry: An International Journal of Forest Research, 85(5), 601–609. https://doi.org/10.1093/FORESTRY/CPS069 .
  • Houghton, R. A. (2010). How well do we know the flux of CO< sub>2</sub> from land-use change? Tellus B: Chemical and Physical Meteorology, 62(5), 337. https://doi.org/10.1111/j.1600-0889.2010.00473.x .
  • Martínez, R. D., Balmori, J.-A., F. Llana, D., & Bobadilla, I. (2020). Wood Density Determination by Drilling Chips Extraction in Ten Softwood and Hardwood Species. Forests, 11(4), 383. https://doi.org/10.3390/f11040383.
  • Salih, T. (2020). Growth Functions modeling of Quercus aegilops L. and Dendro-Climatological analysis of Pinus brutia ten. In Duhok Governorate. University of Duhok.
  • Younis, A. J., & Hassan, M. K. (2019). Assessing volume of Quercus aegilops L. trees in Duhok Governorate, Kurdistan Region of Iraq. Journal of Duhok University, 22(1), 265–276.
  • Barwari, V. I. H. (2013). Soil Physico-Chemical Properties as Influenced by Slope Position Under Different Vegetation Covers In Duhok Governorate (Doctoral dissertation, M. Sc Thesis Submitted to the Council of the Faculty of Agriculture and Forestry, University of Duhok).
  • Abdulkhaleq, A., Saeed, H., Mahdi, H. S., & Youssef, S. (2019). Towards the establishment of a site-species-specific table for carbon sequestration of Morus nigra and Salix alba in Duhok province, Kurdistan region. Journal of Duhok University, 22(1), 107–121.
  • Usta, İ. (2003). Comparative Study of Wood Density by Specific Amount of Void Volume (Porosity). Turkish Journal of Agriculture and Forestry, 27(1), 1–6. https://doi.org/- .
  • Kalkhan, M. A. N. (1980). Studies on tree biometry tables and relationships for Pinus brutia Ten. Growing naturally in Atroosh, Belkaif, and Zawita localities (Master’s thesis, Mosul University).
  • Doraisami, M., Kish, R., Paroshy, N. J., Domke, G. M., Thomas, S. C., & Martin, A. R. (2022). A global database of woody tissue carbon concentrations. Scientific Data, 9(1), 284.
  • Martin, A. R., Domke, G. M., Doraisami, M., & Thomas, S. C. (2021). Carbon fractions in the world’s dead wood. Nature Communications, 12(1), 889.
  • Ohtomom, E. (1956). A Study on the Preparation of Volume Table. (I). Journal Of the Japanese Forestry Society, 38(5), 165–177.
  • Saeed, H. (2023). The Use of Complete Stem Analysis in Biometrical Studies Of Calabrian Pine Trees Growth In Duhok Governorate Region Of Iraq. University of Duhok.
  • Salih, T. K., Younis, M. S., & Wali, S. T. (2021). Allometric regression equations between diameter growth and age of valonia oak trees grown in Duhok province, Iraq. international hasankeyf scientific research and innovation congress, 557–576.
  • Zubair, S. (2023). Tree Biometrical Models For Melia Azedarach L. Grown In Sami Abdulrahman Park, Erbil Governorate, Kurdistan Region Of Iraq. Salahaddin University.
  • Furnival, G. M. (1961). An index for comparing equations used in constructing volume tables.
  • Krishnankutty, J., & Krishnan, S. (2013). Commercialisation of agro-business enterprises in Malawi: An analysis. Indian Research Journal of Extension Education, 13(3), 71–74.
  • Salih, T. K., Saleem, G. Y., & Younis, A. J. (2023). Comparison Between Linear and Non-Linear Regression Models in the Prediction of the Height of Gall Oak Trees (Quercus infectoria Olive) in Duhok Governorate. IOP Conference Series: Earth and Environmental Science, 1213(1), 12118. https://doi.org/10.1088/1755-1315/1213/1/012118.
  • Willmott, C. J., & Matsuura, K. (2005). Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. Climate Research, 30(1), 79–82.
  • Favero, A., Daigneault, A., & Sohngen, B. (2020). Forests: Carbon sequestration, biomass energy, or both? Sci
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