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Simulating feedbacks in land use and land cover change models

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Abstract

In spite of the many advances in land use and land cover change modelling over the past decade many challenges remain. One of these challenges relates to the explicit treatment of feedback mechanisms in descriptive models of the land use system. This paper argues for model-based analysis to explore the role of feedback mechanisms as determinants of land use dynamics and system evolution. Different types of feedbacks in the land use system are discussed addressing interactions over scales of analysis, feedbacks between impacts and driving forces of land use change and feedbacks between agents and land units. The inclusion of feedbacks in land use models will require new methods for model parameterization and calibration, but will ultimately increase our understanding of land use system dynamics.

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References

  • Adger NW (2000) Social and ecological resilience: are they related? Progr Hum Geogr 24(3):347–364

    Article  Google Scholar 

  • Agarwal C, Green GM, Grove JM, Evans TP, Schweik CM (2001) A review and assessment of land use change models. Dynamics of space, time, and human choice. 1. Center for the Study of Institutions, Population, and Environmental Change, Indiana University and USDA Forest Service, Bloomington and South Burlington

  • Baker WL, Mladenoff DJ (1999) Progress and future directions in spatial modeling of forest landscapes. In: Mladenoff DJ, Baker WL (eds) Spatial modeling of forest landscape change: approaches and applications. Cambridge University Press, Cambridge, pp 333–349

    Google Scholar 

  • Berger T (2001) Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis. Agric Econ 25:245–260

    Article  Google Scholar 

  • Bolliger J, Lischke H, Green DG (2005) Simulating the spatial and temporal dynamics of landscapes using generic and complex models. Ecol Complex 2(2):107–116

    Article  Google Scholar 

  • Bonabeau E (2002) Agent-based modeling: methods and techniques for simulating human systems. Proc Natl Acad Sci 99(suppl. 3):7280–7287

    Article  PubMed  CAS  Google Scholar 

  • Bossel H (1999) Indicators for sustainable development: theory, method, applications. International Institute for Sustainable Development, Winnipeg, Manitoba

    Google Scholar 

  • Bousquet F, Le Page C (2004) Multi-agent simulations and ecosystem management: a review. Ecol Model 176(3–4):313–332

    Article  Google Scholar 

  • Braimoh AK, Vlek PLG (2004) Scale-dependent relationships between land-use change and its determinants in the Volta Basin of Ghana. Earth Interact 8(4):1–23

    Article  Google Scholar 

  • Briassoulis H (2000) Analysis of land use change: theoretical and modeling approaches. In: Loveridge S (ed) The web book of regional science at http://www.rri.wvu.edu/regscweb.htm. West Virginia University, Morgantown

  • Brown DG, Page S, Riolo R, Zellner M, Rand W, (2005a) Path dependence and the validation of agent-based spatial models of land use. Int J Geogr Inform Sci 19(2):153–174

    Article  Google Scholar 

  • Brown DG, Riolo R, Robinson DT, North M, Rand W, (2005b) Spatial process and data models: toward integration of agent-based models and GIS. J Geogr Syst 7(1):25–47

    Article  Google Scholar 

  • Bürgi M, Hersperger AM, Schneeberger N (2004) Driving forces of landscape change – current and new directions. Landscape Ecol 19(8):857–868

    Article  Google Scholar 

  • Byrne D (1998) Complexity Theory and the Social Sciences. Routledge, London

    Google Scholar 

  • Carvalho G, Moutinho P, Nepstad D, Mattos L, Santilli M (2004) An Amazon perspective on the forest-climate connection: opportunity for climate mitigation, conservation and development? Environ Dev Sustain 6(1–2):163–174

    Article  Google Scholar 

  • Castella J-C, Boissau S, Trung TN, Quang DD (2005a) Agrarian transition and lowland-upland interactions in mountain areas in northern Vietnam: application of a multi-agent simulation model. Agric Syst 86(3):312–332

    Article  Google Scholar 

  • Castella JC, Trung TN, Boissau S (2005b) Participatory simulation of land-use changes in the northern mountains of Vietnam: the combined use of an agent-based model, a role-playing game, and a geographic information system. Ecol Soc 10(1):27

    Google Scholar 

  • Costanza R (2003) A vision of the future of science: reintegrating the study of humans and the rest of nature. Futures 35(6):651–671

    Google Scholar 

  • Couclelis H (2001) Modeling frameworks, paradigms, and approaches. In: Clarke KC, Parks BE, Crane MP (eds) Geographic information systems and environmental modeling. Longman & Co., New York, pp 33–48

    Google Scholar 

  • Couclelis H (2005) “Where has the future gone?” Rethinking the role of integrated land-use models in spatial planning. Environ Plan A 37:1353–1371

    Article  Google Scholar 

  • de Nijs TCM, de Niet R, Crommentuijn L (2004) Constructing land-use maps of the Netherlands in 2030. J Environ Manage 72(1–2):35–42

    PubMed  Google Scholar 

  • Deadman P, Robinson D, Moran E, Brondizio E (2004) Colonist household decisionmaking and land-use change in the Amazon rainforest: an agent-based simulation. Environ Plan B 31(5):693–709

    Article  Google Scholar 

  • European Environmental Agency (EEA) (1999) Environment in the European Union at the turn of the century. European Enviornmental Agency, Copenhagen

    Google Scholar 

  • Evans TP, Kelley H (2004) Multi-scale analysis of a household level agent-based model of landcover change. J Environ Manage 72(1–2):57–72

    Article  PubMed  Google Scholar 

  • Evans TP, Manire A, de Castro F, Brondizio E, McCracken S (2001) A dynamic model of household decision-making and parcel level landcover change in the Eastern Amazon. Ecol Model 143:95–113

    Article  Google Scholar 

  • Fischer G, Sun LX (2001) Model based analysis of future land-use development in China. Agric Ecosyst Environ 85(1/3):163–176

    Article  Google Scholar 

  • Foley JA, Costa MH, Delire C, Ramankutty N, Snyder PK (2003) Green surprise? How terrestrial ecosystems could affect earth’s climate. Front Ecol Environ 1(1):38–44

    Google Scholar 

  • Foley JA et al (2005) Global consequences of land use. Science 309(5734):570–574

    Article  PubMed  CAS  Google Scholar 

  • Geist HJ, Lambin EF (2002) proximate causes and underlying driving forces of tropical deforestation. BioScience 52(2):143–150

    Article  Google Scholar 

  • Geist HJ, Lambin EF (2004) Dynamic causal patterns of desertification. BioScience 54(9):817–829

    Article  Google Scholar 

  • Geoghegan J et al (1998) Socializing the pixel and pixelizing the social in land-use and land-cover change. In: Liverman D, Moran EF, Rindfuss RR, Stern PC (eds) People and pixels: linking remote sensing and social science. National Academy Press, Washington DC, pp 51–69

    Google Scholar 

  • GLP (2005) Science plan and implementation strategy global land project. IGBP Report No. 53/IHDP Report No. 19. IGBP Secretariat, Stockholm, 64 pp

  • Greene WH (2000) Econometric analysis, 4th edn. Prentice Hall International Inc., Upper Saddle River, USA

    Google Scholar 

  • Griffith D (2005) Efective geographic sample size in the presence of spatial autocorrelation. Ann Assoc Am Geogr 95(4):740–760

    Article  Google Scholar 

  • Grimm V (1999) Ten years of individual-based modelling in ecology: what have we learned and what could we learn in the future? Ecol Model 115(2–3):129–148

    Article  Google Scholar 

  • Guisan A, Zimmermann NE (2000) Predictive habitat distribution models in ecology. Ecol Model 135:147–186

    Article  Google Scholar 

  • Gutman G et al (2004) Land change science. Observing, monitoring and understanding trajectories of change on the earth’s surface remote sensing and digital image processing. Kluwer Academic Publishers, Dordrecht/Boston/London, 459 pp

  • Heisterman M, Müller C, Ronneberger K (2006) Land in sight? Achievements, deficits and potentials of continental to global scale land-use modeling. Agric Ecosyst Environ 114(2--4):141--158

    Google Scholar 

  • Heuvelink GBM, Burrough PA (1993) Error propagation in cartographic modeling using Boolean logic and continuous classification. Int J Geogr Inform Syst 7(3):231–246

    Google Scholar 

  • Hietel E, Waldhardt R, Otte A (2004) Analysing land-cover changes in relation to environmental variables in Hesse, Germany. Landscape Ecol 19:473–489

    Article  Google Scholar 

  • Holling CS (2001) Understanding the complexity of economic, ecological, and social systems. Ecosystems 4:390–405

    Article  Google Scholar 

  • Holling CS, Sanderson S (1996) Dynamics of (Dis)harmony in ecological and social systems. In: Hanna S, Folke C, Mäler KG, Jansson A (eds) Rights to nature: ecological, economic, cultural, and political principles of institutions for the environment. Island Press, Washington, pp 57–85

    Google Scholar 

  • Hoshino S (2001) Multilevel modeling on farmland distribution in Japan. Land Use Policy 18:75–90

    Article  Google Scholar 

  • Lambin EF et al (2000) Land-Use and Land-Cover Change (LUCC), implementation strategy. IGBP Report 48, IHDP Report 10, IGBP, IHDP, Stockholm, Bonn

  • Lambin EF, Geist HJ, Lepers E (2003) Dynamics of land-use and land-cover change in tropical regions. Annu Rev Environ Resour 28:205–241

    Article  Google Scholar 

  • Levin SA (1998) Ecosystems and the biosphere as complex adaptive systems. Ecosystems 1:431–436

    Article  Google Scholar 

  • Ligtenberg A, Wachowicz M, Bregt AK, Beulens A, Kettenis DL (2004) A design and application of a multi-agent system for simulation of multi-actor spatial planning. J Environ Manage 72(1–2):43–55

    Article  PubMed  Google Scholar 

  • Low B, Costanza R, Ostrom E, Wilson J, Simon CP (1999) Human–ecosystem interactions: a dynamic integrated model. Ecol Econ 31:227–242

    Article  Google Scholar 

  • Manson SM (2001) Simplifying complexity: a review of complexity theory. Geoforum 32:405–414

    Article  Google Scholar 

  • Manson SM (2005) Agent-based modeling and genetic programming for modeling land change in the Southern Yucatán Peninsular Region of Mexico. Agric Ecosyst Environ 111:47–62

    Article  Google Scholar 

  • Meijl Hv, van Rheenen T, Tabeau A, Eickhout B (2006) The impact of different policy environments on agricultural land use in Europe. Agric Ecosyst Environ 114(1):21–38

    Article  Google Scholar 

  • Milne BT (1998) Motivation and benefits of complex systems approaches in ecology. Ecosystems 1:449–456

    Article  Google Scholar 

  • Munroe DK, Southworth J, Tucker CM (2002) The dynamics of land-cover change in western Honduras: exploring spatial and temporal complexity. Agric Econ 27(3):355–369

    Article  Google Scholar 

  • Nelson GC, Harris V, Stone SW (2001) Deforestation, land use, and property rights: empirical evidence from Darien, Panama. Land Econ 77:187–205

    Article  Google Scholar 

  • Nepstad D et al (2001) Road paving, fire regime feedbacks, and the future of Amazon forests. Forest Ecol Manage 154:395–407

    Article  Google Scholar 

  • O’Sullivan D (2004) Complexity science and human geography. Trans Inst Brit Geogr 29(3):282–295

    Article  Google Scholar 

  • O’Sullivan D, Haklay M (2000) Agent-based models and individualism: is the world agent-based? Environ Plan A 32(8):1409–1425

    Article  Google Scholar 

  • Oreskes N, Shrader-Frechette K, Belitz K (1994) Verification, validation, and confirmation of numerical models in the earth sciences. Science 263:641–646

    Google Scholar 

  • Overmars KP, de Koning GHJ, Veldkamp A (2003) Spatial autocorrelation in multiscale land use models. Ecol Model 164(2–3):257–270

    Article  Google Scholar 

  • Overmars KP, Verburg PH (2005) Analysis of land use drivers at the watershed and household level: linking two paradigms at the Philippine forest fringe. Int J Geogr Inform Sci 19(2):125–152

    Article  Google Scholar 

  • Overmars KP, Verburg PH (2006) Multilevel modelling of land use from field to village level in the Philippines. Agric Syst 89(2--3):435--456

    Google Scholar 

  • Pan WKY, Bilsborrow RE (2005) The use of a multilevel statistical model to analyze factors influencing land use: a study of the Ecuadorian Amazon. Global Planet Change 47(2–4):232–252

    Article  Google Scholar 

  • Parker DC, Manson SM, Janssen MA, Hoffman M, Deadman P (2003) Multi-agent systems for the simulation of land-use and land-cover change: a review. Ann Assoc Am Geogr 93(2):314–337

    Article  Google Scholar 

  • Parker DC, Meretsky V (2004) Measuring pattern outcomes in an agent-based model of edge-effect externalities using spatial metrics. Agric Ecosyst Environ 101(2–3):233–250

    Article  Google Scholar 

  • Pijanowski BC, Brown DG, Shellito BA, Manik GA (2002) Using neural networks and GIS to forecast land use changes: a land transformation model. Comput Environ Urban Syst 26(6):553–575

    Article  Google Scholar 

  • Polsky C (2004) Putting space and time in ricardian climate change impact studies: the case of agriculture in the U.S. Great Plains. Ann Assoc Am Geogr 94(3):549–564

    Article  Google Scholar 

  • Pontius RG, Huffaker D, Denman K (2004) Useful techniques of validation for spatially explicit land-change models. Ecol Model 179(4):445–461

    Article  Google Scholar 

  • Reidsma P, Tekelenburg T, van den Berg M, Alkemade R (2006) Impacts of land use change on biodiversity: an assessment of agricultural biodiversity in the European Union. Agric Ecosyst Environ 114(1):86–102

    Article  Google Scholar 

  • Rindfuss RR, Walsh SJ, Mishra V, Fox J, Dolcemascolo GP (2003) Linking household and remotely sensed data, methodological and practical problems. In: Fox J, Rindfuss RR, Walsh SJ, Mishra V (eds) People and the environment. Approaches for linking houeshold and community surveys to remote sensing and GIS. Kluwer Academic Publishers, Boston, pp 1–31

    Google Scholar 

  • Rindfuss RR, Walsh SJ, Turner BL II, Fox J, Mishra V (2004) Developing a science of land change: challenges and methodological issues. PNAS 101(39):13976–13981

    Article  PubMed  CAS  Google Scholar 

  • Rouchier J, Bousquet F, Requier-Desjardins M, Antona M (2001) A multi-agent model for describing transhumance in North Cameroon: comparison of different rationality to develop a routine. J Econ Dynam Control 25:527–559

    Article  Google Scholar 

  • Rudel TK (2005) Tropical forests. Regional paths of destruction and regeneration in the late twentieth century. Columbia University Press, New York

    Google Scholar 

  • Schmit C, Rounsevell MDA, La Jeunesse I (2006) The limitations of spatial land use data in environmental analysis. Environ Sci Policy 9(2):174--188

    Google Scholar 

  • Schoorl JM, Boix Fayos C, de Meijer RJ, van der Graaf ER, Veldkamp A (2004) The 137Cs technique applied to steep Mediterranean slopes (Part II): landscape evolution and model calibration. CATENA 57(1):35–54

    Article  CAS  Google Scholar 

  • Scoones I (1999) New ecology and the social sciences: what prospects for a fruitful engagement? Annu Rev Anthropol 28:479–507

    Article  Google Scholar 

  • Stéphenne N, Lambin EF (2001) A dynamic simulation model for land-use changes in Sudano-sahelian countries of Africa (SALU). Agric Ecosyst Environ 85(1–3):145–162

    Article  Google Scholar 

  • Turner II BL (1997) Spirals, bridges and tunnels: engaging human–environment perspectives in geography. Ecumene 4(2):196–217

    Google Scholar 

  • Turner II BL, Moran EF, Rindfuss RR (2004) Integrated land-change science and its relevance to the human sciences. In: Gutman G et al (eds) Land change science. Observing, monitoring and understanding trajectories of change on the earth’s surface. Kluwer Academic Publishiers, Dordrecht/Boston/London, pp 431–447

    Google Scholar 

  • Turner II BL et al (1995) Land-use and land-cover change – science/research plan. IGBP Report No. 35; HDP Report No. 7, Stockholm and Geneva

  • van Noordwijk M (2002) Scaling trade-offs between crop productivity, carbon stocks and biodiversity in shifting cultivation landscape mosaics: the FALLOW model. Ecol Model 149:113–126

    Article  Google Scholar 

  • Veldkamp A, Lambin EF (2001) Editorial: predicting land-use change. Agric Ecosyst Environ 85:1–6

    Article  Google Scholar 

  • Verburg PH, Chen YQ (2000) Multi-scale characterization of land-use patterns in China. Ecosystems 3:369–385

    Article  Google Scholar 

  • Verburg PH, Schot P, Dijst M, Veldkamp A (2004a) Land use change modelling: current practice and research priorities. Geojournal 61(4):309–324

    Article  Google Scholar 

  • Verburg PH et al (2002) Land use change modelling at the regional scale: the CLUE-S model. Environ Manage 30(3):391–405

    Article  PubMed  Google Scholar 

  • Verburg PH, Veldkamp A (2004) Projecting land use transitions at forest fringes in the Philippines at two spatial scales. Landscape Ecol 19(1):77–98

    Article  Google Scholar 

  • Verburg PH, Veldkamp A, de Koning GHJ, Kok K, Bouma J (1999) A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use. Ecol Model 116:45–61

    Article  Google Scholar 

  • Verburg PH, Veldkamp A, Willemen L, Overmars KP, Castella JC (2004b) Landscape level analysis of the spatial and temporal complexity of land-use change. In: DeFries RS, Asner GP, Houghton RA (eds) Ecosystems and land use. Geophysical monograph series 153. American Geophysical Union, Washington DC, pp 217–230

    Google Scholar 

  • Voinov A et al (1999a) Patuxent landscape model: integrated ecological economic modeling of a watershed. Environ Model Software 14(5):473–491

    Article  Google Scholar 

  • Voinov A et al (1999b) Patuxent landscape model: integrated ecological economic modeling of a watershed. Environ Model Software 14:473–491

    Article  Google Scholar 

  • Walsh SJ, Crawford TW, Crews-Meyer KA, Welsh WF (2001) A multi scale analysis of land use land cover change and NDVI variation in Nang Rong District, Northeast Thailand. Agric Ecosyst Environ 85 (1/3):47–64

    Article  Google Scholar 

  • Walsh SJ, Evans TP, Welsh WF, Entwisle B, Rindfuss RR (1999) Scale-dependent relationships between population and environment in northeastern Thailand. Photogramm Eng Remote Sens 65(1):97–105

    Google Scholar 

  • Wear DN, Bolstad P (1998) Land-use changes in southern Appalachian landscapes: spatial analysis and forecast evaluation. Ecosystems 1:575–594

    Article  Google Scholar 

  • White R, Engelen G (2000) High-resolution integrated modelling of the spatial dynamics of urban and regional systems. Comput Environ Urban Syst 24:383–400

    Article  Google Scholar 

  • Wu J, Marceau D (2002) Modeling complex ecological systems: an introduction. Ecol Model 153:1–6

    Article  Google Scholar 

  • Wu JG (2004) Effects of changing scale on landscape pattern analysis: scaling relations. Landscape Ecol 19(2):125–138

    Article  Google Scholar 

  • Wu JG, David JL (2002) A spatially explicit hierarchical approach to modeling complex ecological systems: theory and applications. Ecol Model 153(1–2):7–26

    Article  Google Scholar 

  • Zalidis GC, Tsiafouli MA, Takavakoglou V, Bilas G, Misopolinos N (2004) Selecting agri-environmental indicators to facilitate monitoring and assessment of EU agri-environmental measures effectiveness. J Environ Manage 70(4):315–321

    Article  PubMed  Google Scholar 

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  1. Department of Environmental Sciences, Wageningen University, PO Box 37, 6700 AA, Wageningen, The Netherlands

    Peter H. Verburg

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Verburg, P.H. Simulating feedbacks in land use and land cover change models. Landscape Ecol 21, 1171–1183 (2006). https://doi.org/10.1007/s10980-006-0029-4

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