J. For. Sci., 2014, 60(9):363-371 | DOI: 10.17221/55/2014-JFS

Estimation of biomass and carbon storage of tree plantations in northern IranOriginal Paper

R. Ostadhashemi1, T. Rostami Shahraji1, H. Roehle2, S. Mohammadi Limaei1
1 Department of Forestry, Faculty of Natural Resources, University of Guilan, Someh Sara, Iran
2 Institute of Forest Growth and Forest Computer Sciences, Technische Universität Dresden, Tharandt, Germany

To estimate the aboveground biomass and carbon storage in multi-species plantations we used species-specific equations method and three other generic methods. Astara county is located in northern Iran. It has a total area of 1,757 ha. Based on species-specific allometric equations, total aboveground biomass was calculated andvaried between 81.13 and 98.21 t.ha-1 for Acer velutinum, 68.36 and 83.44 t.ha-1 for Quercus castanifolia, 71.88 and 119.22 t.ha-1 for Tilia begonifolia, 56.07 and 61.98 t.ha-1 for Fraxinus excelsior and from 37.92 to 51.34 t.ha-1 for Prunus avium. There was a significant difference between the mean values of total aboveground biomass estimation obtained by species-specific equations and the three generic methods for Alnus subcordata, Pinus taeda and Pinus nigra. Results indicated that using generalized methods produced more reliable and accurate estimations for native species than for exotic species for rapid biomass and carbon estimation in order to decide on plantation development in the area.

Keywords: biomass; generic methods; allometric equations; plantation development

Published: September 30, 2014  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Ostadhashemi R, Rostami Shahraji T, Roehle H, Mohammadi Limaei S. Estimation of biomass and carbon storage of tree plantations in northern Iran. J. For. Sci. 2014;60(9):363-371. doi: 10.17221/55/2014-JFS.
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. Anderson J., Baker M., Bede J. (2012): Reducing emissions from deforestation and forest degradation in the Yaeda Valley, Northern Tanzania. Available at http://www.carbontanzania.com/forests/project-yaeda.htm (accessed February 7, 2012).
    2. 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. Go to original source...
    3. CSIRO (2013): Improved estimation of biomass accumulation by environmental plantings and mallee plantings using FullCAM. Available at http://www.csiro.au (accessed October 31, 2013).
    4. Chojnacky D.C., Jenkins J. (2010): Literature Synthesis and Meta-analysis of Tree and Shrub Biomass Equations in North America. Final Report: JFSP Project Number 07-3-1-05. Virginia Polytechnic Institute & State University: 23.
    5. Chojnacky D.C. (2012): Fia's volume-to-biomass conversion method (CRM) generally underestimates biomass in comparison to published equations. Available at http://www.nrs.fs.fed.us/pubs/42790 (accessed December 4, 2012).
    6. Enquist B.J., West G.B., Brown J.H. (2009): Extensions and evaluations of a general quantitative theory of forest structure and dynamics. Proceedings of the National Academy of Sciences of the United States of America, 106: 7046-7051. Go to original source... Go to PubMed...
    7. FAO (2010): Global Forest Resources Assessment. In: Committee on Forestry and World Forest Week. Rome, October 4, 2010. FAO, Rome: [CD-ROM].
    8. Fonseca W., Alice F.E., Rey-Benayas J.M. (2011): Carbon accumulation in aboveground and belowground biomass and soil of different age native forest plantations in the humid tropical lowlands of Costa Rica. New Forests, 43: 197-211. Go to original source...
    9. Hemmati A., Amanzade B., Siahipour Z., Khanjani B., Akbarzade A. (2002): Results of adaptation trial for global important conifers in Asalem forests (Guilan province). Iranian Journal of Forest and Poplar Research, 8: 87-124. (in Persian)
    10. IPCC (2003): Good practice guidance for land use, landuse change and forestry. Available at http://www.ipccnggip.iges.or.jp/public/gpglulucf.htm (accessed August 17, 2004).
    11. Jenkins J.C., Chojnacky D.C., Heath L.S., Birdsey R.A. (2003): National-scale biomass estimators for United States tree species. Forest Science, 49: 12-35.
    12. Lehtonen A., Mäkipää R., Heikkinen J., Sievänen R., Liski J. (2004): Biomass expansion factors (BEFs) for Scots pine, Norway spruce and birch according to stand age for boreal forests. Forest Ecology and Management, 188: 211-224. Go to original source...
    13. Lowe H., Seufert G., Raes F. (2000): Comparison of methods used within Member States for estimating CO2 emissions and sinks according to UNFCCC and EU Monitoring Mechanism: forest and other wooded land. Biotechnologie, Agronomie, Société et Environnement, 4: 315-319.
    14. Miles P.D., Smith W.B. (2009): Specific Gravity and Other Properties of Wood and Bark for 156 Tree Species Found in North America. Newtown Square, U.S. Department of Agriculture, Forest Service, Northern Research Station: 35. Go to original source...
    15. Mohammadnejed S.H., Dastmalchi M., Mousavi A., Jafari B. (2003): Results of adaptation trial for conifers in lowland Neka forests. Iranian Journal of Forest and Poplar Research, 11: 411-446. (in Persian).
    16. Muukkonen P., MÄkipÄÄ R. (2006): Biomass equations for European trees: addendum. Silva Fennica 40: 763-773. Go to original source...
    17. Niu X., Duiker S.W. (2006): Carbon sequestration potential by afforestation of marginal agricultural land in the Midwestern. Forest Ecology and Management, 223: 415-427. Go to original source...
    18. Pretzsch H. (2009): Forest Dynamics, Growth and Yield. Berlin, Heidelberg, Springer: 664. Go to original source...
    19. Pretzsch H., Dieler J. (2012): Evidence of variant intraand interspecific scaling of tree crown structure and relevance for allometric theory. Oecologia, 169: 637-649. Go to original source... Go to PubMed...
    20. Sanquetta C.R., Corte A.P.D., Silva F.D. (2011): Biomass expansion factor and root-to-shoot ratiofor Pinus in Brazil. Carbon Balance and Management, 6: 1-8. Go to original source... Go to PubMed...
    21. Shamekhi T., Mirmohammadi M. (2012): Challenges of Iranian Forests and Pastures and Suggestions for Obviation of Problems. Economical Researches Center of Iran Patent: 150. (in Persian)
    22. West G.B., Brown J.H., Enquist B.J. (1997): A general model for the origin of allometric scaling laws in biology. Science, 276: 122-126. Go to original source... Go to PubMed...
    23. West G.B., Enquist B.J., Brown J.H. (2009): A general quantitative theory of forest structure and dynamics. Proceedings of the National Academy of Sciences of the United States of America, 106: 7040-7045. Go to original source... Go to PubMed...
    24. Zhang X., Kondragunt A.S. (2006): Estimating forest biomass in the USA using generalized allometric models and MODIS land products. Geophysical Research Letters, 33: 1-5. Go to original source...
    25. Zianis D., Muukkonen P., MÄkipÄÄ R., Mencuccini M. (2005): Biomass and Stem Volume Equations for Tree Species in Europe. Available at http://www.metla.fi/silvafennica/full/smf/smf004.pdf (accessed September 7, 2005).

    This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content