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Characterizing Land Use Change in Multidisciplinary Landscape-Level Analyses

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  • Kline, Jeffrey D.

Abstract

Economists increasingly face opportunities to collaborate with ecologists on landscape-level analyses of socioeconomic and ecological processes. This often calls for developing empirical models to project land use change as input into ecological models. Providing ecologists with the land use information they desire can present many challenges regarding data, modeling, and econometrics. This paper provides an overview of the relatively recent adaptation of economics-based land use modeling methods toward greater spatial specificity desired in integrated research with ecologists. Practical issues presented by data, modeling, and econometrics are highlighted, followed by an example based on a multidisciplinary landscape-level analysis in Oregon's Coast Range mountains.

Suggested Citation

  • Kline, Jeffrey D., 2003. "Characterizing Land Use Change in Multidisciplinary Landscape-Level Analyses," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 32(1), pages 1-13, April.
    • Handle: RePEc:ags:arerjl:31345
    DOI: 10.22004/ag.econ.31345
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    Citations

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    Cited by:

    1. Raja Chakir & Olivier Parent, 2009. "Determinants of land use changes: A spatial multinomial probit approach," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 327-344, June.
    2. Kline, Jeffrey D., 2005. "Predicted Future Forest- and Farmland Development in Western Oregon With and Without Land Use Zoning in Effect," USDA Miscellaneous 338340, United States Department of Agriculture.
    3. Latta, Gregory S. & Adams, Darius M. & Bell, Kathleen P. & Kline, Jeffrey D., 2016. "Evaluating land-use and private forest management responses to a potential forest carbon offset sales program in western Oregon (USA)," Forest Policy and Economics, Elsevier, vol. 65(C), pages 1-8.
    4. Kaza, Nikhil & Towe, Charles & Ye, Xin, 2011. "A Hybrid Land Conversion Model Incorporating Multiple End Uses," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(3), pages 341-359, December.
    5. Chandra R. Bhat & Subodh K. Dubey & Mohammad Jobair Bin Alam & Waleed H. Khushefati, 2015. "A New Spatial Multiple Discrete-Continuous Modeling Approach To Land Use Change Analysis," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 801-841, November.
    6. Guan, DongJie & Li, HaiFeng & Inohae, Takuro & Su, Weici & Nagaie, Tadashi & Hokao, Kazunori, 2011. "Modeling urban land use change by the integration of cellular automaton and Markov model," Ecological Modelling, Elsevier, vol. 222(20), pages 3761-3772.
    7. Kline, Jeffrey D. & Alig, Ralph J., 2005. "Forestland development and private forestry with examples from Oregon (USA)," Forest Policy and Economics, Elsevier, vol. 7(5), pages 709-720, August.
    8. Mutoko, Morgan C. & Hein, Lars & Bartholomeus, Harm, 2014. "Integrated analysis of land use changes and their impacts on agrarian livelihoods in the western highlands of Kenya," Agricultural Systems, Elsevier, vol. 128(C), pages 1-12.

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    Keywords

    Land Economics/Use;

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