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A Dynamic Programming Model to Determine the Optimal Harvest Decision for a Fir Forest that Provides Both Timber Harvest Volume and Carbon Sequestration Services

Year 2012, Volume: 12 Issue: 3, 161 - 169, 01.09.2012

Abstract

References

  • Asan, U., 1984. Kazdagi goknari ormanlarinin hasilat ve amenajman esaslari uzerine arastirmalar, I.U. Orman Fakultesi Yayini, 1, 34 (64-85).
  • Bowen, A., 2011. The case for carbon pricing http://www2.lse.ac.uk/GranthamInstitute/publications/ Policy/docs/PB_case-carbon-pricing_Bowen.pdf
  • CD4CDM, 2007. Determining a Fair Price for Carbon. http://www.cd4cdm.org/Publications/Perspectives/Fair PriceCarbon.pdf
  • Faustmann, M., 1849. Calculation of the value which forest land and immature stands possess for the forestry. J. Forest Econ. 1, 7-44, reprinted in 1995.
  • Gutrich, J., Howarth, R.B., 2007. Carbon sequestration and the optimal management of New Hampshire timber stands. Ecol. Econ. 62 (3-4), 441- 450.
  • Hartman, R., 1976. The harvesting decision when a standing forest has value. Econ. Inq. 14, 52-58
  • IPCC, 2006. Guidelines for National Greenhouse Gas Inventories. IGES, Hayama, Japan, prepared by the National Greenhouse Gas Inventories Programme. http://www.ippcc- nggip.iges.or.jp/public/2006gl/index.html.
  • Kull, S.J., Kurz, W.A., Ramplet, G.J., Banfield, G.E., Operational-Scale Carbon Budget Modelof Canadian Forest Sector (CBM-CFS3) Version of1.2: User Guide. Natural Resources Canada Forest Service. Northern Forestry Centre, Edmonton, Canada. M.J., 2007.
  • McCarney, G,R., Armstrong, G.W., Adamowicz, W.L., 2008. Joint production of timber and carbon and wildlife habitat in Canadian boreal plants. Can. J. Forest Res. 38, 1478-1492.
  • Pratap, R., 2006. Getting Started with MATLAB 7.14: A Quick Introduction of Scientsts and Engineers. Oxford University Press, New York, NY, USA.
  • Patrick, A., Armstrong, G.W., Adamonwicz, W., 2011. Carbon sequestration and the optimal forest harvest decision: A dynamic programming approach considering biomass and dead organic matter. Journal of Forest Economics, 17 (2011) 3-17.

A Dynamic Programming Model to Determine the Optimal Harvest Decision for a Fir Forest that Provides Both Timber Harvest Volume and Carbon Sequestration Services

Year 2012, Volume: 12 Issue: 3, 161 - 169, 01.09.2012

Abstract

Carbon sequestration in forests is being considered as a mechanism to slow or reverse the trend of increasing concentrations of carbon dioxide in the atmosphere. We present results to determine the optimal harvest decision for a forest stand in the fir forest of Turkey that provides both timber harvest volume and carbon sequestration services by using a dynamic programming model. The state of the system at any point in time is described by stand age and the amount of carbon in the dead organic matter pool. Merchantable timber volume and biomass are predicted as a function of stand age. As a result of decay and litterfall, carbon stocks in the dead organic matter pool changes. The results of the study indicate that initial carbon stock levels significantly affect economic returns to carbon management while optimal harvest age is relatively insensitive to carbon stocks in dead organic matter

References

  • Asan, U., 1984. Kazdagi goknari ormanlarinin hasilat ve amenajman esaslari uzerine arastirmalar, I.U. Orman Fakultesi Yayini, 1, 34 (64-85).
  • Bowen, A., 2011. The case for carbon pricing http://www2.lse.ac.uk/GranthamInstitute/publications/ Policy/docs/PB_case-carbon-pricing_Bowen.pdf
  • CD4CDM, 2007. Determining a Fair Price for Carbon. http://www.cd4cdm.org/Publications/Perspectives/Fair PriceCarbon.pdf
  • Faustmann, M., 1849. Calculation of the value which forest land and immature stands possess for the forestry. J. Forest Econ. 1, 7-44, reprinted in 1995.
  • Gutrich, J., Howarth, R.B., 2007. Carbon sequestration and the optimal management of New Hampshire timber stands. Ecol. Econ. 62 (3-4), 441- 450.
  • Hartman, R., 1976. The harvesting decision when a standing forest has value. Econ. Inq. 14, 52-58
  • IPCC, 2006. Guidelines for National Greenhouse Gas Inventories. IGES, Hayama, Japan, prepared by the National Greenhouse Gas Inventories Programme. http://www.ippcc- nggip.iges.or.jp/public/2006gl/index.html.
  • Kull, S.J., Kurz, W.A., Ramplet, G.J., Banfield, G.E., Operational-Scale Carbon Budget Modelof Canadian Forest Sector (CBM-CFS3) Version of1.2: User Guide. Natural Resources Canada Forest Service. Northern Forestry Centre, Edmonton, Canada. M.J., 2007.
  • McCarney, G,R., Armstrong, G.W., Adamowicz, W.L., 2008. Joint production of timber and carbon and wildlife habitat in Canadian boreal plants. Can. J. Forest Res. 38, 1478-1492.
  • Pratap, R., 2006. Getting Started with MATLAB 7.14: A Quick Introduction of Scientsts and Engineers. Oxford University Press, New York, NY, USA.
  • Patrick, A., Armstrong, G.W., Adamonwicz, W., 2011. Carbon sequestration and the optimal forest harvest decision: A dynamic programming approach considering biomass and dead organic matter. Journal of Forest Economics, 17 (2011) 3-17.
There are 11 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Tevfik Ziya Kuloğlu This is me

Glen W. Armstrong This is me

Publication Date September 1, 2012
Published in Issue Year 2012 Volume: 12 Issue: 3

Cite

APA Kuloğlu, T. Z., & Armstrong, G. W. (2012). A Dynamic Programming Model to Determine the Optimal Harvest Decision for a Fir Forest that Provides Both Timber Harvest Volume and Carbon Sequestration Services. Kastamonu University Journal of Forestry Faculty, 12(3), 161-169.
AMA Kuloğlu TZ, Armstrong GW. A Dynamic Programming Model to Determine the Optimal Harvest Decision for a Fir Forest that Provides Both Timber Harvest Volume and Carbon Sequestration Services. Kastamonu University Journal of Forestry Faculty. September 2012;12(3):161-169.
Chicago Kuloğlu, Tevfik Ziya, and Glen W. Armstrong. “A Dynamic Programming Model to Determine the Optimal Harvest Decision for a Fir Forest That Provides Both Timber Harvest Volume and Carbon Sequestration Services”. Kastamonu University Journal of Forestry Faculty 12, no. 3 (September 2012): 161-69.
EndNote Kuloğlu TZ, Armstrong GW (September 1, 2012) A Dynamic Programming Model to Determine the Optimal Harvest Decision for a Fir Forest that Provides Both Timber Harvest Volume and Carbon Sequestration Services. Kastamonu University Journal of Forestry Faculty 12 3 161–169.
IEEE T. Z. Kuloğlu and G. W. Armstrong, “A Dynamic Programming Model to Determine the Optimal Harvest Decision for a Fir Forest that Provides Both Timber Harvest Volume and Carbon Sequestration Services”, Kastamonu University Journal of Forestry Faculty, vol. 12, no. 3, pp. 161–169, 2012.
ISNAD Kuloğlu, Tevfik Ziya - Armstrong, Glen W. “A Dynamic Programming Model to Determine the Optimal Harvest Decision for a Fir Forest That Provides Both Timber Harvest Volume and Carbon Sequestration Services”. Kastamonu University Journal of Forestry Faculty 12/3 (September 2012), 161-169.
JAMA Kuloğlu TZ, Armstrong GW. A Dynamic Programming Model to Determine the Optimal Harvest Decision for a Fir Forest that Provides Both Timber Harvest Volume and Carbon Sequestration Services. Kastamonu University Journal of Forestry Faculty. 2012;12:161–169.
MLA Kuloğlu, Tevfik Ziya and Glen W. Armstrong. “A Dynamic Programming Model to Determine the Optimal Harvest Decision for a Fir Forest That Provides Both Timber Harvest Volume and Carbon Sequestration Services”. Kastamonu University Journal of Forestry Faculty, vol. 12, no. 3, 2012, pp. 161-9.
Vancouver Kuloğlu TZ, Armstrong GW. A Dynamic Programming Model to Determine the Optimal Harvest Decision for a Fir Forest that Provides Both Timber Harvest Volume and Carbon Sequestration Services. Kastamonu University Journal of Forestry Faculty. 2012;12(3):161-9.

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