Adapting the optimal selective-logging of Scots pine (Pinus sylvestris L.) stands in NE Spain to increasing CO2 concentrations |
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| Affiliation: | 1. Department of Economics, University of Girona, 17071 Girona, Spain;2. Fractalia Environmental Consulting, Girona, Spain;3. Center for Ecological Research and Forestry Applications (CREAF) and University of Barcelona, 08007 Barcelona, Spain;1. Department of Forest and Wildlife Ecology, University of Wisconsin, Madison, WI, USA;2. Observatory for European Forests, European Forest Institute, EFICENT-OEF, Nancy, France;3. Forest Economics Laboratory, INRA, Nancy, France;1. Economics and Management College, Northwest Agricultural and Forestry University, Shaanxi 712100, China;2. Economics Department at the University of Montana, Missoula, MT 59812-5472, United States;3. China National Forestry Economics and Development Research Center, Beijing 100714, China;4. China Agricultural University, Beijing 100083, China;1. Sustainable Forest Management Research Institute, INIA-CIFOR & School of Agricultural Engineering of the University of Valladolid, Avda. Madrid s/n, 34004 Palencia, Spain;2. European Forest Institute, Mediterranean Regional Office, EFIMED, Recinte Històric de Sant Pau, Pavelló de Sant Leopold, St. Antoni M. Claret, 167, 08025 Barcelona, Spain;3. LEMNA, University of Nantes, 44 322 Nantes Cedex, France;4. Department of Economic Sciences, University of Warsaw, 00241 Warsaw, Poland;5. Autonomous University of Barcelona, Institut de Ciencia i Tecnologia Ambientals, 08193 Bellatera, Spain;6. National Institute for Agriculture and Food Research and Technology (INIA), Forest Research Centre (CIFOR), Ctra. de la Coruña, km. 7.5, 28040 Madrid, Spain;1. Department of Forestry Economics and Management, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 165 21 Praha 6 – Suchdol, Czech Republic;2. Department of Forest Strategy, Policy and Economics, National Forest Centre – Forest Research Institute Zvolen, T.G. Masaryka 22, 960 92 Zvolen, Slovak Republic;3. Department of Economics and Management of Forestry, Faculty of Forestry, Technical University in Zvolen, T.G. Masaryka 24, 960 53 Zvolen, Slovak Republic;4. Institute for Forest Consulting and Education, National Forest Centre Zvolen, Sokolská 2, 960 52 Zvolen, Slovak Republic;1. Department of Forest Economics, Swedish University of Agricultural Sciences, Sweden;2. Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Sweden;3. Umeå School of Business and Economics, Umeå University, Sweden;1. University of Helsinki, Department of Forest Sciences, P.O. Box 27, FI-00014 Helsinki, Finland;2. Finnish Forest Research Institute, P.O. Box 18, FI-01301 Vantaa, Finland;3. Michigan Technological University, School of Forest Resources and Environmental Science, 1400 Townsend Drive, Houghton, 49931 MI, United States |
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| Abstract: | Predicted increases in CO2 concentrations will affect forest ecosystems. In particular, they will impact tree growth, which in turn affects reproduction and mortality and consequently, forest planning. This study integrates different climate change scenarios of future biogeochemical processes and an economic model into a forest management model to determine the optimal selective-logging regime of Scots pine stands. It analyzes the economic implications of the management changes in comparison with the business as usual strategy. Adaption to new climatic conditions shows that it is optimal to increase the number of standing trees and to reduce the age of the logged trees. The results suggest that the failure to adapt the management regime has clear implications on the profitability of forests. Moreover, they show that higher mortality is likely to have a significant impact on the optimal forest management regime. |
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| Keywords: | Climate change Forest management Size-distributed stand Dynamic optimization |
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