Optimal Forest Management with Carbon Sequestration Credits and Endogenous Fire Risk
AbstractWe use a stochastic dynamic profit maximization model to investigate the effects of forest carbon sequestration credits on optimal forest management practices for stands facing wildfire risk. Landowners that periodically thin a stand can increase growth rates and mitigate loss of timber and carbon stocks from wildfire. Results indicate that thinning and shortening rotations are cost-effective strategies to mitigate wildfire risk. Carbon prices cause landowners to delay both their thinning treatments and the final rotation age. Thinning and extending timber rotations are thus a viable climate-change mitigation option even when stands are susceptible to risks of fire.
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Bibliographic InfoArticle provided by University of Wisconsin Press in its journal Land Economics.
Volume (Year): 86 (2010)
Issue (Month): 1 ()
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Web page: http://le.uwpress.org/
Find related papers by JEL classification:
- Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters
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- Creamer, Selmin F. & Genz, Alan & Blatner, Keith A., 2012. "The Effect of Fire Risk on the Critical Harvesting Times for Pacific Northwest Douglas-Fir When Carbon Price Is Stochastic," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), December.
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TSE Working Papers
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- StÃ©phane Couture & Arnaud Reynaud, 2009. "Forest Management Under Fire Risk When Forest Carbon Sequestration Has Value," LERNA Working Papers 09.09.285, LERNA, University of Toulouse.
- Kim, Taeyoung & Langpap, Christian, 2012. "Private Landowners’ Response to Incentives for Carbon Sequestration in Forest Management," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 130709, Agricultural and Applied Economics Association.
- Michael Hoel & Bjart Holtsmark & Katinka Holtsmark, 2012.
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701, Research Department of Statistics Norway.
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