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Emergent Properties of Land Systems: Nonlinear Dynamics of Scottish Farming Systems from 1867 to 2020

Author

Listed:
  • Richard Aspinall

    (James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, UK)

  • Michele Staiano

    (Statistics Technology and Analysis of Data, Department of Industrial Engineering, University of Naples Federico II, 80125 Napoli, Italy)

  • Diane Pearson

    (Farmed Landscape Research Centre, School of Agriculture and Environment, College of Sciences, Massey University, Palmerston North 4442, New Zealand)

Abstract

Dynamics of arable and pastoral farming systems in Scotland over the period 1867–2020 are documented using time series analysis methods, including for nonlinear dynamical systems. Results show arable and pastoral farming, at a national scale, are dynamic over a range of timescales, with medium- and short-term dynamics associated with endogenous system forces and exogenous factors, respectively. Medium-term dynamics provide evidence of endogenous systems-level feedbacks between farming sectors responding to change in world and national cereal prices as an economic driver, and act to dampen impacts of exogenous shocks and events (weather, disease). Regime shifts are identified in national cereal prices. Results show change and dynamics as emergent properties of system interactions. Changes in dynamics and strength of endogenous dampening over the duration of the study are associated with dynamical changes from major governmental policy decisions that altered the boundary conditions for interdependencies of arable and pastoral farming.

Suggested Citation

  • Richard Aspinall & Michele Staiano & Diane Pearson, 2021. "Emergent Properties of Land Systems: Nonlinear Dynamics of Scottish Farming Systems from 1867 to 2020," Land, MDPI, vol. 10(11), pages 1-27, November.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1172-:d:670222
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    References listed on IDEAS

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    1. David S. Jacks, 2019. "From boom to bust: a typology of real commodity prices in the long run," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 13(2), pages 201-220, May.
    2. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    3. Yao, Can-Zhong & Lin, Qing-Wen, 2017. "Recurrence plots analysis of the CNY exchange markets based on phase space reconstruction," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 584-596.
    4. Zaldívar, José-Manuel & Strozzi, Fernanda & Dueri, Sibylle & Marinov, Dimitar & Zbilut, Joseph P., 2008. "Characterization of regime shifts in environmental time series with recurrence quantification analysis," Ecological Modelling, Elsevier, vol. 210(1), pages 58-70.
    5. Zhou, Wei-Xing & Sornette, Didier, 2007. "Lead-lag cross-sectional structure and detection of correlated–anticorrelated regime shifts: Application to the volatilities of inflation and economic growth rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 287-296.
    6. Kuemmerle, Tobias & Erb, Karlheinz & Meyfroidt, Patrick & Müller, Daniel & Verburg, Peter H & Estel, Stephan & Haberl, Helmut & Hostert, Patrick & Jepsen, Martin R. & Kastner, Thomas & Levers, Christi, 2013. "Challenges and opportunities in mapping land use intensity globally," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(5), pages 484-493.
    7. Jacqueline M. Vadjunec & Amy E. Frazier & Peter Kedron & Todd Fagin & Yun Zhao, 2018. "A Land Systems Science Framework for Bridging Land System Architecture and Landscape Ecology: A Case Study from the Southern High Plains," Land, MDPI, vol. 7(1), pages 1-20, February.
    8. Huffaker, Ray G., 2010. "Phase Space Reconstruction from Economic Time Series Data: Improving Models of Complex Real-World Dynamic Systems," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 1(3), pages 1-10, October.
    9. Andrew Ford, 2018. "Simulating systems with fast and slow dynamics: lessons from the electric power industry," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 222-254, January.
    10. Richard Aspinall & Michele Staiano, 2017. "A Conceptual Model for Land System Dynamics as a Coupled Human–Environment System," Land, MDPI, vol. 6(4), pages 1-9, November.
    11. Turner, B. L. II & Meyfroidt, Patrick & Kuemmerle, Tobias & Müller, Daniel & Chowdhury, Rinku Roy, 2020. "Framing the search for a theory of land use," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 15(4), pages 489-508.
    12. Erb, Karl-Heinz & Haberl, Helmut & Jepsen, Martin Rudbeck & Kuemmerle, Tobias & Lindner, Marcus & Müller, Daniel & Verburg, Peter H & Reenberg, Anette, 2013. "A conceptual framework for analysing and measuring land-use intensity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(5), pages 464-470.
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    Cited by:

    1. Diane Pearson & Julian Gorman & Richard Aspinall, 2022. "Multiple Roles for Landscape Ecology in Future Farming Systems: An Editorial Overview," Land, MDPI, vol. 11(2), pages 1-5, February.

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