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A Short Presentation of CLUMondo

Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

CLUMondo simulates changes in land systems in response to an exogenous demand, land system characteristics, and a series of biophysical and socioeconomic variables. Land systems are defined in terms of their land cover composition as well as land use intensity. As a consequence, land systems can multifunctional and thus provide multiple different goods or services. Moreover, an increase in demand for, say, crop produce, can lead to cropland expansion, cropland intensification, or both. Here we explain the model algorithm, and illustrate the advantage of the land system approach over traditional land use models at the national and the global scale. CLUMondo is available as a free and open source model.

Keywords

  • Land use change
  • Land use intensity
  • Land systems
  • Land use model
  • Ecosystem services

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References

  • Cramb RA, Colfer CJP, Dressler W, Laungaramsri P, Le QT, Mulyoutami E, Peluso NL, Wadley RL (2009) Swidden transformations and rural livelihoods in Southeast Asia. Human Ecology 37:323–346. doi:10.1007/s10745-009-9241-6

  • Eitelberg DA, van Vliet J, Verburg PH (2015) A review of global potentially available cropland estimates and their consequences for model-based assessments. Glob Chang Biol 21:1236–1248. doi:10.1111/gcb.12733

  • Eitelberg DA, van Vliet J, Doelman JC, Stehfest E, Verburg PH (2016) Demand for biodiversity protection and carbon storage as drivers of global land change scenarios. Glob Environ Change 40:101–111. doi:10.1016/j.gloenvcha.2016.06.014

  • Hett C, Castella JC, Heinimann A, Messerli P, Pfund J-L (2012) A landscape mosaics approach for characterizing swidden systems from a REDD + perspective. Appl Geogr 32:608–618. doi:10.1016/j.apgeog.2011.07.011

  • Keatley BE, Bennett EM, MacDonald GK, Taranu ZE, Gregory-Eaves I (2011) Land-use legacies are important determinants of lake eutrophication in the anthropocene. PLoS ONE 6(1):e15913. doi:10.1371/journal.pone.0015913

  • Kleijn D et al (2009) On the relationship between farmland biodiversity and land-use intensity in Europe. Proc R Soc B Biol Sci 276:903–909. doi:10.1098/rspb.2008.1509

  • Luyssaert S et al (2014) Land management and land-cover change have impacts of similar magnitude on surface temperature. Nat Clim Chang 4:389–393. doi:10.1038/nclimate2196

  • Ornetsmüller C, Verburg PH, Heinimann A (2016) Scenarios of land system change in the Lao PDR: Transitions in response to alternative demands on goods and services provided by the land. Appl Geogr 75:1–11. doi:10.1016/j.apgeog.2016.07.010

  • Schmidt-Vogt D, Leisz SJ, Mertz O, Heinimann A, Thiha T, Messerli P, Epprecht M, Van Cu P, Chi VK, Hardiono M, Dao TM (2009) An assessment of trends in the extent of swidden in Southeast Asia. Human Ecology 37:269–280. doi:10.1007/s10745-009-9239-0

  • van Asselen S, Verburg PH (2012) A Land System representation for global assessments and land-use modeling. G Chang Biology 18:3125–3148. doi:10.1111/j.1365-2486.2012.02759.x

  • van Asselen S, Verburg PH (2013) Land cover change or land-use intensification: simulating land system change with a global-scale land change model. Glob Chang Biol 19:3648–3667. doi:10.1111/gcb.12331

  • van Vliet J, Naus N, van Lammeren RJ, Bregt AK, Hurkens J, van Delden H (2013) Measuring the neighbourhood effect to calibrate land use models. Comput Environ Urban Syst 41:55–64

    Google Scholar 

  • Verburg PH, Overmars KP (2009) Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model. Landsc Ecol 24:1167–1181. doi:10.1007/s10980-009-9355-7

  • Wolff S, Schulp CJE, Verburg PH (2015) Mapping ecosystem services demand: a review of current research and future perspectives. Ecol Ind 55:159–171. doi:10.1016/j.ecolind.2015.03.016

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Correspondence to J. van Vliet .

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van Vliet, J., Verburg, P.H. (2018). A Short Presentation of CLUMondo. In: Camacho Olmedo, M., Paegelow, M., Mas, JF., Escobar, F. (eds) Geomatic Approaches for Modeling Land Change Scenarios. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-60801-3_34

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