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Adaptation to Climate Change in Ourika

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Spatial Interaction Models with Land Use

Part of the book series: Contributions to Regional Science ((CRR))

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Abstract

The aim of this paper is to propose and test a systemic cost–benefit method to evaluate changes on environmental services based on a spatial interaction model with land use. The calibrated bid-rents of the model relate to land values for the present situation and once adjusted to simulations of policy scenarios show variations in land values that reveal changes in the value of ecosystem services. Besides the presentation of the method, the paper evaluates two policy scenarios in the Ourika Valley, in Morocco: keep pasture or promote the forestation of the erosive pasture. The paper concludes that forestation is worse in terms of job loss, but it is better in terms of changes in total economic value.

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Notes

  1. 1.

    Foot prints (hectares per employment): rural buildings 1; dry crops 10; irrigated areas 8; extensive forest 25; dense forest 33; semi-dense forest 19; river 93; very dry areas 53; pastures 20 (Silveira, 2018).

References

  • Antrop, M. (2005). Why landscapes of the past are important for the future. Landscape and Urban Planning, 70(1–2), 21–34. doi: https://doi.org/10.1016/j.landurbplan. 2003.10.002.

    Article  Google Scholar 

  • Batty M (2013) - Visually-Driven Urban Simulation: Exploring Fast and Slow Change in Residential Location, Environment and Planning A, 45, 532–552.

    Article  Google Scholar 

  • Borba J & Dentinho T (2016) - Evaluation of urban scenarios using bid-rents of spatial interaction models as hedonic price estimators: an application to the Terceira Island, Azores. Annals of Regional Science. DOI https://doi.org/10.1007/s00168-016-0764-7

  • Bowler, J. M., Johnston, H., Olley, J. M., Prescott, J. R., Roberts, R. G., Shawcross, W., & Spooner, N. A. (2003). New ages for human occupation and climatic change at Lake Mungo, Australia. [https://doi.org/10.1038/nature01383]. Nature, 421(6925), 837–840. doi: http://www.nature.com/nature/journal/v421/n6925/suppinfo/nature01383_S1.html

  • Dentinho TP et. al. (2017) - The next step for RSPP. Regional Science Policy and Practice. Volume9, Issue1. March 2017, Pages 3–6, https://doi.org/10.1111/rsp3.12089

  • Garin R (1966) – Research Note: A Matrix Formulation of the Lowry Model for Intrametropoly Activity Allocaton. Journal of the American Institute of Planners. Volume 32, 1966 – Issue 6. 361–364.

    Google Scholar 

  • Glaeser, E. (2005) - Review of Richard Florida's The Rise of the Creative Class. Regional Science and Urban Economics, 35(5), 593–596. doi: https://doi.org/10.1016/j.regsciurbeco. 2005.01.005

    Article  Google Scholar 

  • Gonçalves, J., & Dentinho, T. (2007). A Spatial Interaction Model for Agricultural Uses. In J. S. Eric Koomen, Aldrik Bakema, Hen J. Scholten (Ed.), Modelling Land-Use Change (Vol. 90, pp. 398). Dordrecht: Springer Netherlands.

    Google Scholar 

  • Hyman, GM (1969) The calibration of trip distribution models, Environment and Planning, vol. A 1, pp. 105–112.

    Google Scholar 

  • Pinto-Correia, T., & Kristensen, L. (2013). Linking research to practice: The landscape as the basis for integrating social and ecological perspectives of the rural. Landscape and Urban Planning, 120, 248–256. doi: https://doi.org/10.1016/j.landurbplan. 2013.07.005

    Article  Google Scholar 

  • Roy JR & Thill JC (2004) – Spatial interaction modeling. Papers in Regional Science, vol. 83, 339–361.

    Article  Google Scholar 

  • van Schrojenstein Lantman, J., Verburg, P. H., Bregt, A., & Geertman, S. (2011). Core Principles and Concepts in Land-Use Modelling: A Literature Review. In E. Koomen & J. Borsboom-van Beurden (Eds.), Land-Use Modelling in Planning Practice (pp. 35–57). Dordrecht: Springer Netherlands.

    Google Scholar 

  • Silveira, P., & Dentinho, T. (2010). Spatial interaction model of land use - An application to Corvo Island from the 16th, 19th and 20th centuries. Computers Environment and Urban Systems, 34(2), 91–103. doi: https://doi.org/10.1016/j.compenvurbsys.2009.10.003

    Article  Google Scholar 

  • Taylor, R. B. (1988). Human Territorial Functioning: an empirical, evolutionary perspective on individual and small group territorial cognitions, behaviors, and consequences. Cambridge, New York, New Rochelle, Melbourne, Sydney: Cambridge University Press.

    Book  Google Scholar 

  • van Berkel, D. B., & Verburg, P. H. (2011). Sensitising rural policy: Assessing spatial variation in rural development options for Europe. Land Use Policy, 28(3), 447–459. doi: https://doi.org/10.1016/j.landusepol.2010.09.002

    Article  Google Scholar 

  • Wilson A (2010) - Entropy in Urban and Regional Modelling: Retrospect and Prospect Geographical Analysis 42, 364–394

    Google Scholar 

Uncited References

  • Batty, M., & Xie, Y. (1997). Possible Urban Automata. Environment and Planning B: Planning and Design, 24(2), 175–192. https://doi.org/10.1068/b240175

    Article  Google Scholar 

  • Balzter, H., Braun, P. W., & Köhler, W. (1998). Cellular automata models for vegetation dynamics. Ecological modelling, 107(2–3), 113–125.

    Article  Google Scholar 

  • Dentinho, T. C. P. (2005), Modeios Gravitacionais. in: Compêndio de Economia Regional, 22. 2ª Edição. Coimbra: APDR - Associação Portuguesa para o Desenvolvimento Regional.

    Google Scholar 

  • Keynes, J. M. (1936), The General Theory of Employment, Interest, and Money. London: Macmillan.

    Google Scholar 

  • Koomen E., Stillwell, J. 8akema, A. and Scholten, H. The Geojournal Library 90. Springer.

    Google Scholar 

  • Krugman, P. R. (1997). Development, Geography, and Economic Theory: MIT Press.

    Google Scholar 

  • Pereira, A.D.S. (1985), Vereações de Veias, S. Jorge (1559–1570–1571). Porto: Gráfica Maiadouro.

    Google Scholar 

  • Starrett, D. A. (1974). Principles of optimal location in a large homogeneous area. Journal of Economic Theory, 9(4), 418–448. doi: https://doi.org/10.1016/0022-0531(74)90044-1

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Azores Regional Statistics Service, Angra do Heroísmo, Portugal

    Paulo Silveira

  2. Azorean Regional Secretary for the Environment and Climate Change, São Jorge, Portugal

    Paulo Silveira

  3. Faculty of Agriculture and Environment, Centre for Applied Economics of the Atlantic, University of the Azores, Angra do Heroísmo, Portugal

    Tomaz Ponce Dentinho

Authors
  1. Paulo Silveira
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  2. Tomaz Ponce Dentinho
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Correspondence to Paulo Silveira .

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Silveira, P., Dentinho, T.P. (2024). Adaptation to Climate Change in Ourika. In: Spatial Interaction Models with Land Use. Contributions to Regional Science. Springer, Cham. https://doi.org/10.1007/978-3-031-55008-9_7

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