Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model
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Land use change is the result of interactions between processes operating at different scales. Simulation models at regional to global scales are often incapable of including locally determined processes of land use change. This paper introduces a modeling approach that integrates demand-driven changes in land area with locally determined conversion processes. The model is illustrated with an application for European land use. Interactions between changing demands for agricultural land and vegetation processes leading to the re-growth of (semi-) natural vegetation on abandoned farmland are explicitly addressed. Succession of natural vegetation is simulated based on the spatial variation in biophysical and management related conditions, while the dynamics of the agricultural area are determined by a global multi-sector model. The results allow an exploration of the future dynamics of European land use and landscapes. The model approach is similarly suitable for other regions and processes where large scale processes interact with local dynamics.
KeywordsLand use Land cover Europe Land abandonment Land marginalization Succession Model
The research presented in this paper is partly funded by the EURURALIS project financed by the Dutch Ministry of Agriculture, Nature and Food Quality and the FP6 SENSOR integrated project financed by the European Commission. Igor Staritsky and Martha Bakker are acknowledged for their contributions to the discussions and calculations. Bob Bunce is thanked for providing an expert-table of succession periods across the different environmental zones of Europe.
- Angelsen A, Kaimowitz D (1999) Rethinking the causes of deforestation: lessons from economic models. World Bank Obs 14:73–98Google Scholar
- Castella J-C, Pheng Kam S, Dinh Quang D, Verburg PH, Thai Hoanh C (2007) Combining top-down and bottom-up modelling approaches of land use/cover change to support public policies: application to sustainable management of natural resources in northern Vietnam. Land use policy 24:531–545. doi: 10.1016/j.landusepol.2005.09.009 CrossRefGoogle Scholar
- EEA (2005) European environmental agency. http://dataservice.eea.eu.int. Accessed 20 Aug 2005
- Etienne M, Le Page C, Cohen M (2003) A step-by-step approach to building land management scenarios based on multiple viewpoints on multi-agent system simulations ecology and society 6:<http://jasss.soc.surrey.ac.uk/6/2/2.html>
- Haines-Young R, Weber JL (2006) Land accounts for Europe 1990–2000. EEA report 11/2006. European Environmental Agency, CopenhagenGoogle Scholar
- Osbornova J, Kovarova M, Leps J, Krach K (eds) (1990) Succession in abandoned fields: studies in central Bohemia, Czechoslovakia. Kluwer Academic Publishing, DordrechtGoogle Scholar
- Pontius R, Boersma W, Castella J-C, Clarke K, de Nijs T, Dietzel C, Duan Z, Fotsing E, Goldstein N, Kok K, Koomen E, Lippitt C, McConnell W, Mohd Sood A, Pijanowski B, Pithadia S, Sweeney S, Trung T, Veldkamp A, Verburg P (2008) Comparing the input, output, and validation maps for several models of land change. Ann Reg Sci 42:11–37. doi: 10.1007/s00168-007-0138-2 CrossRefGoogle Scholar
- Rindfuss RR, Entwisle B, Walsh SJ, An L, Badenoch N, Brown DG, Deadman P, Evans TP, Fox J, Geoghegan J, Gutmann M, Kelly M, Linderman M, Liu J, Malanson GP, Mena CF, Messina JP, Moran EF, Parker DC, Parton W, Prasartkul P, Robinson DT, Sawangdee Y, Vanwey LK, Verburg PH (2008) Land use change: complexity and comparisons. J Land Use Sci 3:1–10. doi: 10.1080/17474230802047955 CrossRefGoogle Scholar
- WUR/MNP (2008) EURURALIS2.0 CDrom. Wageningen University and the Netherlands Environmental Assessment Agency, WageningenGoogle Scholar