用户名: 密码: 验证码:
Spatial Dynamics of Optimal Management in Bioeconomic Systems
详细信息    查看全文
  • 作者:David Aadland (1)
    Charles Sims (2)
    David Finnoff (1)

    1. Department of Economics and Finance
    ; University of Wyoming ; 1000 E. University Avenue ; Laramie ; WY ; 82071 ; USA
    2. Department of Economics
    ; Howard H. Baker Jr. Center for Public Policy ; University of Tennessee ; 1640 Cumberland Ave ; Knoxville ; TN ; 37996 ; USA
  • 关键词:Dynamic systems ; Spatial models ; Bioeconomics ; Migration ; Predator ; prey models ; C61 ; D62 ; Q23 ; Q57
  • 刊名:Computational Economics
  • 出版年:2015
  • 出版时间:April 2015
  • 年:2015
  • 卷:45
  • 期:4
  • 页码:545-577
  • 全文大小:1,930 KB
  • 参考文献:1. Abbott, B, Stennes, B, Kooten, GC (2009) Mountain pine beetle, global markets, and the British Columbia forest economy. Canadian Journal of Forest Research 39: pp. 1313-1321 CrossRef
    2. Albers, HJ (1996) Modeling ecological constraints on tropical forest management: Spatial interdependence, irreversibility, and uncertainty. Journal of Environmental Economics and Management 30: pp. 73-94 CrossRef
    3. Albers, HJ, Fischer, C, Sanchirico, JN (2010) Invasive species management in a spatially heterogeneous world: Effects of uniform policies. Resource and Energy Economics 32: pp. 483-499 CrossRef
    4. Azariadis, C (1993) Intertemporal macroeconomics. Blackwell Publishers, Cambridge, MA
    5. Bentz, BJ (2006) Mountain pine beetle population sampling: Inferences from Lindgren pheromone traps and tree emergence cages. Canadian Journal of Forest Research 36: pp. 351-360 CrossRef
    6. Berryman, AA, Dennis, B, Raffa, KF, Stenseth, NC (1985) Evolution of optimal group attack, with particular reference to bark beetles (Coleoptera: Scolytidae). Ecology 66: pp. 898-903 CrossRef
    7. Bhat, MG, Huffaker, RG (2007) Management of a transboundary wildlife population: A self-enforcing cooperative agreement with renegotiation and variable transfer payments. Journal of Environmental Economics and Management 53: pp. 54-67 CrossRef
    8. Bhat, MG, Huffaker, RG, Lenhart, SM (1996) Controlling transboundary wildlife damage: Modeling under alternative management scenarios. Ecological Modeling 92: pp. 215-224 CrossRef
    9. Blanchard, OJ, Kahn, CM (1980) The solution of linear difference models under rational expectations. Econometrica 48: pp. 1305-1311 CrossRef
    10. Borgstr枚m, ST, Elmqvist, T, Angelstam, P, Alfsen-Norodom, C (2006) Scale mismatches in management of urban landscapes. Ecology and Society 11: pp. 16
    11. Bossenbroek, JM, Kraft, CE, Nekola, JC (2001) Prediction of long-distance dispersal using gravity models: Zebra mussel invasion of inland lakes. Ecological Applications 11: pp. 1778-1788 CrossRef
    12. Brock, W, Xepapadeas, A (2008) Diffusion-induced instability and pattern formation in infinite horizon recursive optimal control. Journal of Economic Dynamics and Control 32: pp. 2745-2787 CrossRef
    13. Brock, W, Xepapadeas, A (2010) Pattern formation, spatial externalities and regulation in coupled economic-ecological systems. Journal of Environmental Economics and Management 59: pp. 149-164 CrossRef
    14. Brown, G, Roughgarden, J (1997) A metapopulation model with private property and a common pool. Ecological Economics 22: pp. 65-71 CrossRef
    15. Buchan, LA, Padilla, DK (1999) Estimating the probability of long-distance overland dispersal of invading aquatic species. Ecological Applications 9: pp. 254-265 CrossRef
    16. Bulte, EH, Kooten, GC (1999) Metapopulation dynamics and stochastic bioeconomic modeling. Ecological Economics 30: pp. 293-299 CrossRef
    17. Cash, DW, Adger, WN, Berkes, F, Garden, P, Lebel, L, Olsson, P, Pritchard, L, Young, O (2006) Scale and cross-scale dynamics:Governance and information in a multilevel world. Ecology and Society 11: pp. 8
    18. Clarida, R, Gal铆, J, Gertler, M (2000) Monetary policy rules and macroeconomic stability: Evidence and some theory. Quarterly Journal of Economics 115: pp. 147-180 CrossRef
    19. Cole, W. E. (1983). / Interaction between Mountain Pine Beetle and Dynamics of Lodgepole Pine Stands. United States Department of Agriculture, Forest Service Res. Note INT-170, Rep. Res. Note INT-170.
    20. Cole, W. E., & McGregor, M. D. (1983). / Estimating the rate and amount of tree loss from mountain pine beetle infestations. US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station.
    21. Cooley, TF, Prescott, EC Economic growth and business cycles. In: Cooley, TF eds. (1995) Frontiers of business cycle research. Princeton University Press, Princeton, NJ
    22. Costello, C, Polasky, S (2008) Optimal harvesting of stochastic spatial resources. Journal of Environmental Economics and Management 56: pp. 1-18 CrossRef
    23. Cumming, GS, Cumming, DH, Redman, CL (2006) Scale mismatches in social-ecological systems: Causes, consequences, and solutions. Ecology and Society 11: pp. 14
    24. Dockner, EJ, Jorgensen, S, Long, N, Sorger, G (2012) Differential games in economics and management science. Cambridge University Press, Cambridge
    25. Epanchin-Niell, RS, Wilen, JE (2012) Optimal spatial control of biological invasions. Journal of Environmental Economics and Management 63: pp. 260-270 CrossRef
    26. Farmer, REA (2002) Macroeconomics of Self-fulfilling Prophecies. The MIT Press, Cambridge, MA
    27. Fredriksson, PG, Millimet, DL (2002) Strategic interaction and the determination of environmental policy across US states. Journal of Urban Economics 51: pp. 101-122 CrossRef
    28. Fujita, M, Krugman, P, Venables, AJ (1999) The spatial economy: Cities, regions, and international trade. MIT Press, Cambridge, MA
    29. GAMS Development Corporation. (2006). GAMS Release 22.2 Version 145, Washington, D.C.
    30. Heavilin, J, Powell, J (2008) A novel method of fitting spatio-temporal models to data, with applications to the dynamics of mountain pine beetles. Natural Resource Modeling 21: pp. 489-524 CrossRef
    31. Hof, JG, Bevers, M, Joyce, LA, Kent, B (1994) An integer programming approach for spatially and temporally optimizing wildlife populations. Forest Science 40: pp. 177-191
    32. Holmes, TP (1991) Price and welfare effects of catastrophic forest damage from southern pine beetle epidemics. Forest Science 37: pp. 500-516
    33. Horan, RD, Wolf, CA, Fenichel, EP, Matthews, KH (2005) Spatial management of wildlife disease. Review of Agricultural Economics 27: pp. 483-490 CrossRef
    34. Kaffine D. T., & Costello, C. (2011). Unitization of spatially connected renewable resources. / The B.E. Journal of Economics Analysis and Policy, / 11, Article 15.
    35. Koch, P. (1996). / Lodgepole Pine in North America. Forest Products Society.
    36. Konoshima, M, Montgomery, CA, Albers, HJ, Arthur, JL (2008) Spatial-endogenous fire risk and efficient fuel management and timber harvest. Land Economics 84: pp. 449-468
    37. Krugman, P (1991) Geography and trade. MIT Press, Cambridge, MA
    38. Kuang, Y, Takeuchi, Y (1994) Predator-prey dynamics in models of prey dispersal in two-patch environments. Mathematical Biosciences 120: pp. 77-98 CrossRef
    39. Kurz, WA, Dymond, CC, Stinson, G, Rampley, GJ, Neilson, ET, Carroll, A, Ebata, T, Safranyik, L (2008) Mountain pine beetle and forest carbon feedback to climate change. Nature 452: pp. 987-990 CrossRef
    40. Leung, B, Bossenbroek, JM, Lodge, DM (2006) Boats, pathways, and aquatic biological invasions: Estimating dispersal potential with gravity models. Biological Invasions 8: pp. 241-254 CrossRef
    41. Logan, JA, Regniere, J, Powell, JA (2003) Assessing the impacts of global warming on forest pest dynamics. Frontiers in Ecology and the Environment 1: pp. 130-137 CrossRef
    42. Lotan, J. E., & Critchfield, W. B. (1990). Pinus contorta Dougl. ex Loud. In Burns, R. M., Honkala, B. H. (Eds.) / Silvics of North America, Vol. 1 confiers (pp. 302鈥?15). Washington, D.C.: US Department of Agriculture.
    43. Millennium Ecosystem Assessment. (2005). / Ecosystems and Human Well-Being: Synthesis. Washington, DC: Island Press.
    44. Patriquin, MN, Wellstead, AM, White, WA (2007) Beetles, trees, and people: Regional economic impact sensitivity and policy considerations related to the mountain pine beetle infestation in British Columbia, Canada. Forest Policy and Economics 9: pp. 938-946 CrossRef
    45. Perrings, C, Hannon, B (2001) An introduction to spatial discounting. Journal of Regional Science 41: pp. 23-38 CrossRef
    46. Pfeiffer, D, Robinson, T, Stevenson, M, Stevens, KB, Rogers, DJ, Clements, ACA (2008) Spatial analysis in epidemiology. Oxford University Press, New York CrossRef
    47. Phillips, B., James B, Jr., Trevor, N. (2007). / Managing the economic impacts of mountain pine beetle outbreaks in Alberta. No. 1100. Western Centre for Economic Research.
    48. Prestemon, JP, Holmes, TP (2004) Market dynamics and optimal timber salvage after a natural catastrophe. Forest Science 50: pp. 495-511
    49. Rassweiler, A, Costello, C, Siegel, DA (2012) Marine protected areas and the value of spatially optimized fishery management. Proceedings of the National Academy of Sciences 109: pp. 11884-11889 CrossRef
    50. Rosie, JP (1990) Multicriteria nonlinear programming for optimal spatial allocation of stands. Forest Science 36: pp. 487-501
    51. Row, C, Kaiser, HF, Sessions, J (1981) Discount rate for long-term Forest Service investments. Journal of Forestry 79: pp. 367-369
    52. Safranyik, L., & Carroll, A. (2006). The biology and epidemiology of the mountain pine beetle in lodgepole pine forests. In L. Safranyik & B. Wilson (Eds.), / The mountain pine beetle: A synthesis of its biology,management and impacts on lodgepole pine (pp. 3鈥?6). Victoria, British Columbia: Canadian Forest Service, Pacific Forestry Centre, Natural Resources Canada.
    53. Safranyik, L, Linton, DA, Silversides, R, McMullen, L (1992) Dispersal of released mountain pine beetles under the canopy of a mature lodgepole pine stand. Journal of Applied Entomology 113: pp. 441-450 CrossRef
    54. Safranyik, L., Shrimpton, D. M., & Whitney, H. (1974). / Management of Lodgepole Pine to Reduce Losses from the Mountain Pine Beetle. Canadian Forest Service, Pacific Forest Research Station, Forest Technical Report 1:24, Rep. Forest Technical Report, 1, 24.
    55. Samman, S., & Logan, J. (2000). / Assessment and response to bark beetle outbreaks in the Rocky Mountain area. USDA Forest Service, Rep. RMRS-GTR-62.
    56. Sanchirico, J, Wilen, JE, Coleman, C (2010) Optimal rebuilding of a metapopulation. American Journal of Agricultural Economics 92: pp. 1087-1102 CrossRef
    57. Sanchirico, JN, Wilen, JE (1999) Bioeconomics of spatial exploitation in a patchy environment. Journal of Environmental Economics and Management 37: pp. 129-150 CrossRef
    58. Sanchirico, JN, Wilen, JE (2005) Optimal spatial management of renewable resources: Matching policy scope to ecosystem scale. Journal of Environmental Economics and Management 50: pp. 23-46 CrossRef
    59. Sims, C, Aadland, D, Finnoff, D (2010) A dynamic bioeconomic analysis of mountain pine beetle epidemics. Journal of Economic Dynamics and Control 34: pp. 2407-2419 CrossRef
    60. Sims, C, Aadland, D, Finnoff, D, Powell, JA (2013) How ecosystem service provision can increase forest mortality from insect outbreaks. Land Economics 89: pp. 154-176
    61. Smith, MD, Sanchirico, JN, Wilen, JE (2009) The economics of spatial-dynamic processes: Applications to renewable resources. Journal of Environmental Economics and Management 57: pp. 104-121 CrossRef
    62. Smith, MD, Wilen, JE (2003) Economic impacts of marine reserves: The importance of spatial behavior. Journal of Environmental Economics and Management 46: pp. 183-206 CrossRef
    63. Smith, W. B., Miles, P. D., Perry, C. H., Pugh, S. A. (2009). / Forest Resources of the United States, 2007. Washington, DC: USDA Forest Service, Rep. Gen. Tech. Rep. WO-78.
    64. Swallow, SK, Parks, PJ, Wear, DN (1990) Policy-relevant nonconvexities in the production of multiple forest benefits. Journal of Environmental Economics and Management 19: pp. 264-280 CrossRef
    65. Swallow, SK, Talukdar, P, Wear, DN (1997) Spatial and temporal specialization in forest ecosystem management under sole ownership. American Journal of Agricultural Economics 79: pp. 311-326 CrossRef
    66. Swallow, SK, Wear, DN (1993) Spatial interactions in multiple-use forestry and substitution and wealth effects for the single stand. Journal of Environmental Economics and Management 25: pp. 103-120 CrossRef
    67. Tabuchi, T, Thisse, J-F (2002) Taste heterogeneity, labor mobility and economic geography. Journal of Development Economics 69: pp. 155-177 CrossRef
    68. Volz, M. (2011). / Knowledge gaps abound in beetle-kill forest fires. In: The Register-Guard. Eugene, Oregon.
    69. www.for.gov.bc.ca/hfp/mountain_pine_beetle/facts Facts About B.C鈥?s Mountain Pine Beetle. In: British Columbia Ministry of Forests, Lands and Natural Resource Operations.
  • 刊物类别:Business and Economics
  • 刊物主题:Economics
    Economic Theory
  • 出版者:Springer Netherlands
  • ISSN:1572-9974
文摘
We develop a computationally efficient methodology to evaluate optimal management in a spatially and temporally dynamic bioeconomic system. The method involves standard techniques from the macroeconomics literature to calculate approximately optimal linear decision rules. Iterations between the decision rules and the nonlinear biological system produce optimal transition paths over space and time. We then apply the methodology to forest management over a \(6\times 6\) spatial grid where a pest insect (mountain pine beetles) preys on trees that provide a wide array of ecosystem services. The method is sufficiently general to be applicable to a wide range of spatially and temporally dynamic economic systems.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700