Integrating economic land-use and biophysical models

Annual Review of Resource Economics

Volumn 7, Issue 1, 2015, Pages 233-249

  Plantinga, Andrew J ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

econometric models; land use change; land use policy; optimization models

Indexed keywords

EID: 84943236040     PISSN: 19411340     EISSN: 19411359     Source Type: Journal    
DOI: 10.1146/annurev-resource-100814-125056     Document Type: Review

References (68)

1. Adams DM, Alig RJ, Callaway JM, McCarl BA, Winnett SM. 1996. The Forest and Agricultural Sector Optimization Model (FASOM): model structure and policy applications. Res. Pap. PNW-RP-495, For. Serv., Pac. Northwest Res. Stn., US Dep. Agric., Portland, Or.
2. Alig R, Adams D, McCarl B, Callaway JM, Winnett S. 1997. Assessing effects of mitigation strategies for global climate change with an intertemporal model of the U.S. forest and agriculture sectors. Environ. Resour. Econ. 9:259-74
3. Alonso W. 1964. Location and Land Use. Cambridge, MA: Harvard Univ. Press
4. Ando A, Camm J, Polasky S, Solow A. 1998. Species distributions, land values, and efficient conservation. Science 279:2126-28
5. Bateman IJ, Harwood AR, Mace GM, Watson RT, Abson DJ, et al. 2013. Bringing ecosystem services into economic decision-making: land use in the United Kingdom. Science 341:45-50
6. Beaudry F, Radeloff VC, Pidgeon AM, Plantinga AJ, Lewis DJ, et al. 2013. The loss of forest birds habitats under different land use policies as projected by a coupled ecological-econometric model. Biol. Conserv. 165:1-9
7. Bigelow D, Plantinga AJ, Lewis DJ, Langpap C. 2014. Urban development and water use. Presented at "Land Use and Ecosystem Services Provision" Worksh., May 1-2 Univ. Calif., Santa Barbara
8. Bockstael NE. 1996. Modeling economics and ecology: the importance of a spatial perspective. Am. J. Agric. Econ. 78(5):1168-80
9. Butsic V, Lewis DJ, Radeloff VC. 2010. Lakeshore zoning has heterogeneous ecological effects: an application of a coupled economic-ecological model. Ecol. Appl. 20(3):867-79
10. Carrion-Flores C, Irwin EG. 2004. Determinants of residential land-use conversion and sprawl at the ruralurban fringe. Am. J. Agric. Econ. 86(4):889-904
11. Church R, Stoms D, Davis F. 1996. Reserve selection as a maximal coverage location problem. Biol. Conserv. 76(2):105-12
12. Clarke KC, Gaydos LJ. 1998. Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore. Int. J. Geogr. Inf. Sci. 12(7):699-714
13. Costello C, Polasky S. 2004. Dynamic reserve site selection. Resour. Energy Econ. 26:157-74
14. Dai Y, Zeng X, Dickinson R, Baker I, Bonan G, et al. 2003. The Common Land Model (CLM). Bull. Am. Meteorol. Soc. 84:1013-23
15. De Pinto A, Nelson GC. 2009. Land use change with spatially explicit data: a dynamic approach. Environ. Resour. Econ. 42:209-29
16. Dempsey JA, Plantinga AJ, Alig RJ. 2010. What explains differences in the costs of carbon sequestration in forests? A review of alternative cost methodologies. In Economic Modeling of Effects of Climate Change on the Forest Sector and Mitigation Options: A Compendium of Briefing Papers, Gen. Tech. Rep. PNWGTR-833. Washington, DC: US Dep. Agric.
17. Fezzi C, Bateman IJ. 2011. Structural agricultural land use modeling for spatial agro-environmental policy analysis. Am. J. Agric. Econ. 93(4):1168-88
18. Fischer DT, Church RL. 2003. Clustering and compactness in reserve site selection: an extension of the biodiversity management area selection model. For. Sci. 49(4):555-65
19. Hardie IW, Parks PJ. 1997. Land use with heterogeneous land quality: an application of an area base model. Am. J. Agric. Econ. 79:299-310
20. Hey DL, Philippi NS. 1995. Flood reduction through wetland restoration: the Upper Mississippi River Basin as a case history. Restor. Ecol. 3(1):4-17
21. Jian AK, Khanna M, Erickson M, Huang H. 2010. An integrated biogeochemical and economic analysis of bioenergy crops in the Midwestern United States. Glob. Change Biol. Bioenergy 2:217-34
22. Johnson SL, Adams RM, PerryGM.1991. The on-farm costs of reducing groundwater pollution. Am. J. Agric. Econ. 73(4):1063-73
23. Khanna M, Chen X, Huang H, Onal H. 2011. Supply of cellulosic biofuel feedstocks and regional production pattern. Am. J. Agric. Econ. 93(2):473-80
24. Lawler J, Lewis D, Nelson E, Plantinga AJ, Polasky S, et al. 2014. Projected land-use change impacts on ecosystem services in the U.S. PNAS 111(20):7492-97
25. Lewis DJ, Plantinga AJ. 2007. Policies for habitat fragmentation: combining econometrics with GIS-based landscape simulations. Land Econ. 83(2):109-27
26. Lewis DJ, Plantinga AJ, Nelson E, Polasky S. 2011. The efficiency of voluntary incentive policies for preventing biodiversity loss. Resour. Energy Econ. 33(1):192-211
27. Lichtenberg E. 1989. Land quality, irrigation development, and cropping patterns in the Northern High Plains. Am. J. Agric. Econ. 71:187-94
28. Loveland TR, Sohl TL, Stehman SV, Gallant AL, Sayler KL, Napton DE. 2002. A strategy for estimating the rates of recent United States land cover changes. Photogramm. Eng. Remote Sens. 68(10):1091-99
29. Lubowski RN, Plantinga AJ, StavinsRN. 2006a. Land-use change and carbon sinks: econometric estimation of the carbon sequestration supply function. J. Environ. Econ. Manag. 51(2):135-52
30. Lubowski RN, Vesterby M, Bucholtz S, Baez A, Roberts MJ. 2006b. Major uses of land in the United States, 2002. Econ. Inf. Bull. 14, Econ. Res. Serv., US Dep. Agric.
31. Mason CF, Plantinga AJ. 2013. The additionality problem with offsets: optimal contracts for carbon sequestration in forests. J. Environ. Econ. Manag. 66:1-14
32. Matthews S, O'Connor R, Plantinga AJ. 2002. Quantifying the impacts on biodiversity of policies for carbon sequestration in forests. Ecol. Econ. 40(1):71-87
33. McGarigal K, Cushman SA, Ene E. 2012.FRAGSTATS: spatial pattern analysis program for categorical maps. Softw. Prog., Version 4, Univ. Mass., Amherst. http://www.umass.edu/landeco/research/fragstats/fragstats.html
34. Miller DJ, Plantinga AJ. 1999. Modeling land use decisions with aggregate data. Am. J. Agric. Econ. 81:180-94
35. Montgomery CA, Brown GM Jr., Adams DM. 1994. The marginal cost of species preservation: the northern spotted owl. J. Environ. Econ. Manag. 26:111-28
36. Nalle DJ, Montgomery CA, Arthur JL, Polasky S, Schumaker NH. 2004. Modeling joint production of wildlife and timber. J. Environ. Econ. Manag. 48(3):997-1017
37. Nelson E, Polasky S, Lewis DJ, Plantinga AJ, Lonsdorf E, et al. 2008. Efficiency of incentives to jointly increase carbon sequestration and species conservation on a landscape. PNAS 105(28):9471-76
38. Newburn DA, Berck P, Merenlender MA. 2006. Habitat and open space at risk of land-use conversion: targeting strategies for land conservation. Am. J. Agric. Econ. 88(1):28-42
39. Nicholson E,Westphal MI, Frank K, RochesterWA, Pressey RL, et al. 2006. A new method for conservation planning for the persistence of multiple species. Ecol. Lett. 9:1049-60
40. Onal H, Briers RA. 2003. Selection of a minimum boundary reserve network using integer programming. Proc. R. Soc. B 270:1487-91
41. Patz JA, Campbell-Lendrum D, Holloway T, Foley JA. 2005. Impact of regional climate change on human health. Nature 438:310-17
42. Patz JA, Daszak P, Tabor GM, Aguirre AA, Pearl M, et al. 2004. Unhealthy landscapes: policy recommendations on land use change and infectious disease emergence. Environ. Health Perspect. 112:1092-98
43. Plantinga AJ. 1996. The effect of agricultural policies on land use and environmental quality. Am. J. Agric. Econ. 78:1082-91
44. Plantinga AJ, Ahn S. 2002. Efficient policies for environmental protection: an econometric analysis of incentives for land conversion and retention. J. Agric. Resour. Econ. 27(1):128-45
45. Plantinga AJ, Lewis DJ. 2014. Landscape simulations with econometric-based land-use models. In The Oxford Handbook of Land Economics, ed. JM Duke, J Wu, pp. 380-401. Oxford, UK: Oxford Univ. Press
46. Plantinga AJ, Mauldin T, Miller DJ. 1999. An econometric analysis of the costs of sequestering carbon in forests. Am. J. Agric. Econ. 81:812-24
47. Plantinga AJ, Wu J. 2003. Co-benefits from carbon sequestration in forests: evaluating reductions in agricultural externalities from an afforestation policy in Wisconsin. Land Econ. 79(1):74-85
48. Polasky S, Camm JD, Garber-Yonts B. 2001. Selecting biological reserves cost-effectively: an application to terrestrial vertebrate conservation in Oregon. Land Econ. 77(1):68-78
49. Polasky S, Nelson E, Camm J, Csuti B, Fackler P, et al. 2008. Where to put things? Spatial land management to sustain biodiversity and economic production. Biol. Conserv. 141(6):1505-24
50. Rabotyagov S, Campbell T, Jha M, Gassman PW, Arnold J, et al. 2010. Least-cost control of agricultural nutrient contributions to the Gulf of Mexico hypoxic zone. Ecol. Appl. 20(6):1542-55
51. Rabotyagov S, Valcu AM, Kling CL. 2014. Reversing property rights: practice-based approaches for controlling agricultural nonpoint-source water pollution when emissions aggregate nonlinearly. Am. J. Agric. Econ. 96(2):397-419
52. Rust J. 1987. Optimal replacement ofGMCbus engines: an empirical model of Harold Zurcher. Econometrica 55:999-1033
53. Sala OE, Chapin FS, Armesto JJ, Berlow E, Bloomfield J, et al. 2000. Global biodiversity scenarios in the year 2100. Science 287:1770-74
54. Schlosser IJ. 1991. Stream fish ecology: a landscape perspective. BioScience 41(10):704-12
55. Simon D. 2013. Evolutionary Optimization Algorithms. Hoboken, NJ: John Wiley and Sons
56. Stavins R. 1999. The costs of carbon sequestration: a revealed-preference approach. Am. Econ. Rev. 89(4):994-1009
57. Stavins RN, Jaffe AB. 1990. Unintended impacts of public investments on private decisions: the depletion of forested wetlands. Am. Econ. Rev. 80(3):337-52
58. Stone B Jr., Rodgers MO. 2001. Urban form and thermal efficiency: how the design of cities influences the urban heat island effect. J. Am. Plann. Assoc. 67(2):186-98
59. Strange N, Thorsen BJ, Bladt J. 2006. Optimal reserve selection in a dynamic world. Biol. Conserv. 131:33-41
60. Syphard AD, Radeloff VC, Keeley JE, Hawbaker TJ, Clayton MK, et al. 2007. Human influence on California fire regimes. Ecol. Appl. 17(5):1388-402
61. Tague CL, Band LE. 2004. RHESSys: Regional Hydro-Ecologic Simulation System-an object-oriented approach to spatially distributed modeling of carbon, water, and nutrient cycling. Earth Interact. 8(19):1-42
62. Theobald DM. 2005. Landscape patterns of exurban growth in the USA from 1980 to 2020. Ecol. Soc. 10(1):32
63. US Department of Agriculture. 2013. Summary Report: 2010 National Resources Inventory. Rep., Nat. Res. Conserv. Serv./Cent. Surv. Stat. Methodol., Iowa State Univ.
64. van der Werf GR, Morton DC, DeFries RS, Olivier JGJ, Kasibhatla PS, et al. 2009. CO2 emissions from forest loss. Nat. Geosci. 2:737-38
65. van Kooten G, Shaikh SL, Suchanek P. 2002. Mitigating climate change by planting trees: the transaction costs trap. Land Econ. 78(4):559-72
66. von Thünen J-H. 1826. The Isolated State. Transl. CM Wartenberg, 1966 (From German)
67. Wilcove DS, Rothstein D, Dubow J, Phillips A, Losos E. 2000. Leading threats to biodiversity: what's imperiling U.S. species? In Precious Heritage: The Status of Biodiversity in the United States, ed. BA Stein, LS Kutner, JS Adams, pp. 239-54. Oxford, UK: Oxford Univ. Press
68. Wu J, Segerson K. 1995. The impact of policies and land characteristics on potential groundwater pollution in Wisconsin. Am. J. Agric. Econ. 77:1033-47