Limitations, challenges, and solutions to integrating carbon dynamics with land-use models

Land use and the Carbon Cycle: Advances in Integrated Science, Management, and Policy

Volumn 9781107011243, Issue , 2009, Pages 178-208

  Evans, Tom P ^a   Robinson, Derek T ^b   Schmitt Harsh, Mikaela ^a  

^a INDIANA UNIVERSITY   (United States)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

C (PROGRAMMING LANGUAGE); DIGITAL STORAGE; DYNAMICS; ENVIRONMENTAL REGULATIONS; FORESTRY; GLOBAL WARMING; INTERNATIONAL COOPERATION; LAND USE;

CLIMATE CHANGE POLICIES; GLOBAL ENVIRONMENTAL CHANGE; GLOBAL LAND PROJECTS; INTERNATIONAL SCIENCE; LAND USE AND LAND COVER; LAND USE AND LAND COVER CHANGE; ROBUST PREDICTIONS; UNITED NATIONS FRAMEWORK CONVENTION ON CLIMATE CHANGES;

CLIMATE CHANGE;

EID: 84924099018     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9780511894824.010     Document Type: Chapter

References (83)

1. Agarwal, C., Green, G.M., Grove, J.M., Evans, T.P., and Schweik, C.M. 2002. A review and assessment of land-use change models: Dynamics of space, time, and human choice. Gen. tech. rep. NE-297, U.S. Department of Agriculture.
2. Andersson, K.A., Evans, T.P., and Richards, K.R. 2008. National forest carbon inventories: Policy needs and assessment capacity. Climatic Change, 93:69–101.
3. Baker, W.L. 1989. A review of models of landscape change. Landscape Ecology, 2(2):111–133.
4. Bakker, M.M., and Veldkamp, A. 2008. Modelling land change: The issue of use and cover in wide-scale applications. Journal of Land Use Science, 3(4):203–213.
5. Batty, M., Couclelis, H., and Eichen, M. 1997. Urban systems as cellular automata. Environment and Planning B: Planning and Design, 24:159–164.
6. Bennet, D.A., and Tang, W. 2006. Modelling adaptive, spatially aware, and mobile agents: Elk migration in Yellowstone. International Journal of Geographical Information Science, 20(9):1039–1066.
7. Berger, T. 2001. Agent-based spatial models applied to agriculture: A simulation tool for technology diffusion, resource use changes and policy analysis. Agricultural Economics, 25:245–31.
8. Bondeau, A., Smith, P.C., Zaehle, S., Schaphoff, S., Lucht, W., Cramer, W., … Smith, B. 2007. Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Global Change Biology, 13:679–706.
9. Borschchev, A., Karpov, Y., and Kharitonov, V. 2002. Distributed simulation of hybrid systems with AnyLogic and HLA. Future Generation Computer Systems, 18(6):829–839.
10. Brown, D.G., and Robinson, D.T. 2006. Effects of heterogeneity in residential preferences on an agent-based model of urban sprawl. Ecology and Society, 11(1):46 [online]. URL: http://www.ecologyandsociety.org/vol11/iss1/art46/.
11. Clarke, K.C. 2008. A decade of cellular urban modeling with SLEUTH: Unresolved issues and problems. In Planning support systems for cities and regions, ed. R.K. Brail. Cambridge, MA: Lincoln Institute of Land Policy, pp. 47–60.
12. Comber, A.J. 2008. The separation of land cover from land use using data primitives. Journal of Land Use Science, 3(4):215–229.
13. Coops, N.C., and Waring, R.H. 2001. The use of multiscale remote sensing imagery to derive regional estimates of forest growth capacity using 3-PGS. Remote Sensing of Environment, 75:324–334.
14. Danielsen, F., Beukema, H., Burgess, N.D., Parish, F., Bruehl, C.A., Donald, P.F.,… Fitzherbert, E. 2008. Biofuel plantations on forested lands: Double jeopardy for biodiversity and climate. Conservation Biology, 23(2):348–358.
15. Evans, T.P., Phanvilay, K., Fox, J., and Vogler, J. 2011. An agent-based model of agricultural innovation, land-cover change and household inequality: The transition from swidden cultivation to rubber plantations in Laos PDR. Journal of Land Use Science, 6(2–3):151–173.
16. Filatova, T., van der Veen, A., and Parker, D.C. 2009. Land market interactions between heterogeneous agents in a heterogeneous landscape-tracing the macro-scale effects of individual trade-offs between environmental amenities and disamenities. Canadian Journal of Agricultural Economics, 57:431–459.
17. Fragkias, M., and Geoghegan, J. 2010. Commercial and industrial land use change, job decentralization and growth controls: A spatially explicit analysis. Journal of Land Use Science, 5(1):45–66.
18. Geist, H.J., and Lambin, E.F. 2001. What drives tropical deforestation? A meta-analysis of proximate and underlying causes of deforestation based on subnational case study evidence. Rep. series no. 4. LUCC International Project Office, Louvain-la-Neuve, Belgium.
19. Geist, H.J., and Lambin, E.F. 2002. Proximate causes and underlying driving forces of tropical deforestation. BioScience, 52(2):143–150.
20. Guo, L.B., and Gifford, R.M. 2002. Soil carbon stocks and land use change: A meta analysis. Global Change Biology, 8:345–360.
21. Guzmán-Álvarez, J.R., and Navarro-Cerrillo, R.M. 2008. Modelling potential abandonment and natural restoration of marginal olive groves in Andalusia (south of Spain). Journal of Land Use Science, 3(2):113–129.
22. Hirsch, A.I., Little, W.S., Houghton, R.A., Scott, N.A., and White, J.D. 2004. The net carbon flux due to deforestation and forest re-growth in the Brazilian Amazon: Analysis using a process-based model. Global Change Biology, 10:908–924.
23. Houghton, R.A. 2008. Carbon flux to the atmosphere from land-use changes: 1850–2005. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee.
24. Huigen, M.G.A. 2004. First principles of the MameLuke multi-actor modelling framework for land use change, illustrated with a Philippine case study. Journal of Environmental Management, 72:5–21.
25. Iovanna, R., and Vance, C. 2007. Modeling of continuous-time land cover change using satellite imagery: An application from North Carolina. Journal of Land Use Science, 2(3):147–166.
26. Irwin, E.G., and Geoghegan, J. 2001. Theory, data, methods: Developing spatially explicit economic models of land-use change. Agriculture, Ecosystems, and Environment, 85:7–23.
27. Janssen, M.A., and Ostrom, E. 2006. Empirically based, agent-based models. Ecology and Society, 11(2):37 [online]. URL: http://www.ecologyandsociety.org/vol11/iss2/art37/.
28. Jantz, C.A., Goetz, S.J., Donato, D., and Claggett, P. 2010. Designing and implementing a regional urban modeling system using the SLEUTH cellular urban model. Computers, Environment, and Urban Systems, 34(1):1–16.
29. Jensen, N.H., and Veihe, T. 2009. Modelling the effect of land use and climate change on the water balance and the nitrate leaching in eastern Denmark. Journal of Land Use Science, 4(1):53–72.
30. Klein Goldewijk, K. 2001. Estimating global land use change over the past 300 years: The HYDE database. Global Biogeochemical Cycles, 15:417–433.
31. Lambin, E.F. 1997. Modelling and monitoring land-cover change processes in tropical regions. Progress in Physical Geography, 21(3):375–393.
32. Liu, J., Dietz, T., Carpenter, S.R., Alberti, M., Folke, C., Moran, E.,… Taylor, W.W. 2007. Complexity of coupled human and natural systems. Science, 317(5844):1513–1516.
33. Liu, J., Liu, S., Loveland, T.R., and Tieszen, L.L. 2008. Integrating remotely sensed land cover observations and a biogeochemical model for estimating forest ecosystem carbon dynamics. Ecological Modelling, 219:361–372.
34. Liu, J., Vogelmann, J.E., Zhu, Z., Key, C.H., Sleeter, B., Price, D.T.,… Jiang, H. 2011. Estimating California ecosystem carbon storage using process model and land cover disturbance data: 1951–2000. Ecological Modelling, 222:2333–2341.
35. Luus, K.A., Robinson, D.T., and Deadman, P.J. 2011. Representing ecological processes in agent-based models of land use and cover change. Journal of Land Use Science, iFirst:1–24.
36. Lysenko, M., and D’Souza, R.M. 2008. A framework for megascale agent based model simulations on graphics processing units. Journal of Artificial Societies and Social Simulation, 11(4):10 [online]. URL: http://jasss.soc.surrey.ac.uk/11/4/10.html.
37. Matsushita, B., Xu, M., Chen, J., Kameyama, J., and Tamura, M. 2004. Estimation of regional net primary productivity (NPP) using a process-based ecosystem model: How important is the accuracy of climate data? Ecological Modelling, 178(3–4): 371–388.
38. Matthews, R., Gilbert, N., Roach, A., Polhill, J., and Gotts, N. 2007. Agent-based land-use models: A review of applications. Landscape Ecology, 22(10):1447–1459.
39. McGarigal, K., Cushman, S.A., Neel, C.M., and Ene, E. 2002. FRAGSTATS: Spatial pattern analysis program for categorical maps. Computer software program produced by the authors at the University of Massachusetts, Amherst.
40. Miller, J.D., and Yool, S.R. 2002. Modeling fire in semi-desert grassland/oak woodland: The spatial implications. Ecological Modelling, 153(3):229–245.
41. Monticino, M., Acevedo, M., Callicott, B., Cogdill, T., and Lindquist, C. 2006. Coupled human and natural systems: A multi-agent-based approach. Environmental Modelling and Software, 22:656–663.
42. Murty, D., Kirschbaum, M.U.F., McMurtie, R.E., and McGilvray, H. 2002. Does conversion of forest to agricultural land change soil carbon and nitrogen? A review of the literature. Global Change Biology, 8:105–123.
43. North, M.J., Howe, T.R., Collier, N.T., and Vos, J.R. 2007. A declarative model assembly infrastructure for verification and validation. In Advancing social simulation: The first world congress, ed. S. Takahashi, D.L. Sallach, and J. Rouchier. Heidelberg: Springer, pp. 129–140.
44. Ooba, M., Wang, Q., Murakami, S., and Kohata, K. 2010. Biogeochemical model (BGC-ES) and its basin-level application for evaluating ecosystem services under forest management practices. Ecological Modelling, 221(16):1979–1994.
45. Parker, D.C., Berger, T., and Manson, S., eds. 2002. Agent-based models of land-use and land-cover change. Report and review of an international workshop. Irvine, California, October 4–7, 2001.
46. Pijanowski, B.C., Alexandridis, K.T., and Muller, D. 2006. Modelling urbanization patterns in two diverse regions of the world. Journal of Land Use Science, 1(2–4):83–108.
47. Pontius, R.G., Cornell, J., and Hall, C. 2001. Modeling the spatial pattern of land-use change with GEOMOD2: Application and validation for Costa Rica. Agriculture, Ecosystems, and Environment, 85(1–3):191–203.
48. Pontius, R.G., Huffaker, D., and Denman, K. 2004. Useful techniques of validation for spatially explicit land-change models. Ecological Modelling, 179(4):445–461.
49. Post, W.M., and Mann, L.K. 1990. Changes in soil organic carbon and nitrogen as a result of cultivation. In Soils and greenhouse effect, ed. A.F. Bouwman. New York: Wiley, pp. 401–406.
50. Potter, C., Klooster, S., Steinbach, M., Tan, P., Kumar, V., Shekhar, S., and Carvalhos, C.R. 2004. Understanding global teleconnections of climate to regional model estimates of Amazon ecosystem carbon fluxes. Global Change Biology, 10:693–703.
51. Ramankutty, N., and Foley, J.A. 1999. Estimating historical changes in global land cover: Croplands from 1700 to 1992. Global Biogeochemical Cycles, 13:997–1027.
52. Ray, D.K., and Pijanowski, B.C. 2010. A backcast land use change model to generate past land use maps: Application and validation at the Muskegon River watershed of Michigan, USA. Journal of Land Use Science, 5(1):1–29.
53. Rindfuss, R.R., Walsh, S.J., Mishra, V., Fox J., and Dolcemascolo, G.P. 2003. Linking household and remotely sensed data: Methodological and practical problems. In People and the environment: Approaches for linking household and community surveys to remote sensing and GIS, ed. J. Fox, R. R. Rindfuss, S. J. Walsh, and V. Mishra. Boston: Kluwer Academic Publishers, pp. 1–29.
54. Robinson, D.T., Brown, D.G., and Currie, W.S. 2009. Modelling carbon storage in highly fragmented and human-dominated landscapes: Linking land-cover patterns and ecosystem models. Ecological Modelling, 220:1325–1338.
55. Robinson, D.T., Brown, D.G., Parker, D.C., Schreinemachers, P., Janssen, M.A., Huigen, M., … Barnaud, C. 2007. Comparison of empirical methods for building agent-based models in land use science. Land Use Science, 2:31–55.
56. Robinson, D.T., Murray-Rust, D., Rieser, V., Melicic, V., and Rounsevell, M. 2012. Modelling the impacts of land system dynamics on human well-being: Using an agent-based approach to cope with data limitations in Koper, Slovenia. Computers, Environment, and Urban Systems, 36(2):164–175.
57. Robinson, D.T., Shipeng, S., Hutchins, M., Riolo, R.L., Brown, D.G., Parker, D.C., Currie, W.S., Filatova, T., and S. Kiger. Effects of land markets and land management on ecosystem function: A framework for modelling exurban land-changes. Environmental Modelling and Software, doi: 10.1016/j.envsoft.2012.06.016.
58. Rounsevell, M.D.A., Robinson, D.T., and Murray-Rust, D. 2012. From actors to agents in socio-ecological systems models. Philosophical Transactions of the Royal Society B, 367:259–269.
59. Running, S.W. 1984. Microclimate control of forest productivity: Analysis by computer simulation of annual photosynthesis/transpiration balance in different environments. Agricultural and Forest Meteorology, 32:267–288.
60. Running, S.W., and Coughlan, J.C. 1988. A general model of forest ecosystem processes for regional applications: 1. Hydrologic balance, canopy gas exchange and primary production processes. Ecological Modelling, 42:125–154.
61. Running, S.W., and Hunt, R.E. 1993. Generalization of a forest ecosystem process model for other biomes, BIOME-BGC, and an application for global-scale models. In Scaling physiological processes: Leaf to globe, ed. J.R. Ehleringer and C.B. Field. Salt Lake City, UT: Academic Press, pp. 141–496.
62. Running, S.W., Knight, D.H., and Fahey, T.J. 1983. Description and application of H2OTRANS: A stand level hydrologic model for western coniferous forests. In Analysis of ecological systems: State-of-the-art in ecological modelling, ed. W.K. Lauenroth, G.V. Skogerboe, and M. Flug. Amsterdam: Elsevier, pp. 489–496.
63. Running, S.W., Waring, R.H., and Rydell, R.A. 1975. Physiological control of water flux in conifers: A computer simulation model. Oecologia (Berlin), 18:1–16.
64. Schweik, C., Evans, T., and Grove, J.M. 2005. Open source and open content: A framework for global collaboration in social-ecological research. Ecology and Society, 10(1):33 [online]. http://www.ecologyandsociety.org/vol10/iss1/art33/.
65. Schweik, C., Grove, J.M., and Evans, T.P. 2004. The open-source paradigm and the production of scientific information: A future vision and implications for developing countries. In Open access and the public domain in digital data and information for science: Proceedings of an international symposium, ed. J.M. Esanu and P.F. Uhlir. Washington, DC: National Academies Press, pp. 103–109.
66. Sevcikova, H., Wang, L., Waddell, P., and Borning, A. In review. Agile modeling for urban and environmental systems: The open platform for urban simulation. Submitted to Environmental Modelling and Software.
67. Simmons, J. 2003. Cities in decline: The future of urban Canada. Toronto: Centre for the Study of Commercial Activity.
68. Sitch, S., Smith, B., Prentice, I.C., Arneth, A., Bondeau, A., Cramer, W., … Venesvsky, S. 2003. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biology, 9: 161–185.
69. Sohl, T.L., Sayler, K.L., Drummond, M.A., and Loveland, T.R. 2007. The FORE-SCE model: A practical approach for projecting land cover change using scenario-based modeling. Journal of Land Use Science, 2(2):103–126.
70. Sun, S., and Manson, S.M. 2010. An agent-based model of housing search and intraurban migration in the twin cities of Minnesota. Session 7: Spatial agent-based models for socio-ecological systems. In Proceedings of the International Environmental Modelling and Software Society (iEMSs) 2010 International Congress on Environmental Modelling and Software, ed. D.A. Swayne, W. Yang, A.A. Voinov, A. Rizzoli, and T. Filatova, Fifth Biennial Meeting, Ottawa, Ontario, Canada. http://www.iemss.org/iemss2010/index.php?n=Main.Proceedings.
71. Tews, J., Esther, A., Milton, S.J., and Jeitsch, F. 2006. Linking a population model with an ecosystem model: Assessing the impact of land use and climate change on savanna shrub cover dynamics. Ecological Modelling, 195(3–4):219–228.
72. Theobald, D.M. 2001. Land-use dynamics beyond the American urban fringe. The Geographical Review, 91(3):544–564.
73. Trines, E., Hohne, N., Jung, M., Skutsch, M., Petsonk, A., Silva-Chavez, G.,… Schlamadinger, B. 2006. Climate change scientific assessment and policy analysis: Integrating agriculture, forestry and other land use in future climate regimes. Bilthoven, The Netherlands: Environmental Assessment Agency.
74. U.S. Department of Agriculture. 2009. Summary report: 2007 national resources inventory, Natural Resources Conservation Service, Washington, DC, and Center for Survey Statistics and Methodology, Iowa State University, Ames, Iowa. http://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb1041379.pdf.
75. Veldkamp, A., and Fresco, L.O. 1996. CLUE: A conceptual model to study the conversion of land use and its effects. Ecological Modelling, 85:253–270.
76. Verburg, P.H., Schot, P.P., Dijst, M.J., and Veldkamp, A. 2004. Land use change modelling: Current practice and research priorities. GeoJournal, 61:309–324.
77. Waddell, P. 2002. UrbanSim: Modeling urban development for land use, transportation and environmental planning. Journal of the American Planning Association, 68(3): 297–314.
78. Waldrop, M.M. 1990. Asking for the moon. Science, 247:637–638.
79. Walsh, S.J., Entwisle, B., Rindfuss, R.R., and Page, P.H. 2006. Spatial simulation modelling of land use/land cover change scenarios in northeastern Thailand: A cellular automata approach. Journal of Land Use Science, 1(1):5–28.
80. Wilensky, U. 1999. NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, Illinois. http://ccl.northwestern.edu/netlogo/.
81. Xu, Z., Ward, S., Chen, C., Blumfield, T., Prasolova, N., and Liu, J. 2008. Soil carbon and nutrient pools, microbial properties and gross nitrogen transformations in adjacent natural forest and hoop pine plantations of subtropical Australia. Journal of Soils and Sediments, 8(2):99–105.
82. Xu, X., Gao, Q., Liu, Y., Wang, J., and Zhang, Y. 2009. Coupling a land use model and an ecosystem model for a crop-pasture zone. Ecological Modelling, 220:2503–2511.
83. Yadav, V., Del Grosso, S.J., Parton, W.J., and Malanson G.P. 2008. Adding ecosystem function to agent-based land use models. Land Use Science, 3:27–40.