Belief network models of land manager decisions and land use change.

A two-stage model of land use change is described, which is driven by the types of decisions that land managers make when changing their broad styles of use. The first stage uses decision modelling techniques to assess if a manager is currently satisfied with the present situation, when compared to various potential alternatives. If this evaluation indicates satisfaction, it is assumed that the present land use will continue. However, if it indicates dissatisfaction, Belief Network techniques are used to estimate, in more detail, both how dissatisfied the manager is and whether the costs of changing, from the present use to a potentially better one, will be out-weighed by the anticipated benefits. The proposed models can use a variety of cost and benefit criteria (e.g. financial, social and ecological). The approach is illustrated with a case-study of the factors that might influence changes from farming to forestry in marginal upland areas of the UK.

[1]  Robin Fuller,et al.  Comparison of land cover definitions , 1994 .

[2]  C. Muir,et al.  Human cancer: epidemiology and environmental causes: Socio-economic factors , 1992 .

[3]  P. S. Wright,et al.  Soils and their use in Wales. , 1984 .

[4]  J. Nix Farm management pocketbook , 1980 .

[5]  Peter Dale,et al.  The future of the land: Mobilising and Integrating Knowledge for Land Use Options edited by Louise O Frasco, Leo Stroosnijder, Johan Bouma and Herman van Keulen John Wiley & Sons, Chichester, UK, 1994, 404 pp , 1995 .

[6]  M. K. Gillespie,et al.  Accounting for nature: assessing habitats in the UK countryside. , 2000 .

[7]  R. Bunce,et al.  Landscape evaluation and the impact of changing land use on the rural environment: the problem and an approach , 1984 .

[8]  Finn Verner Jensen,et al.  Introduction to Bayesian Networks , 2008, Innovations in Bayesian Networks.

[9]  Michał Kozakiewicz,et al.  PROMOTING MORE SUSTAINABLE RURAL LAND USE AND DEVELOPMENT: A CASE STUDY IN EASTERN EUROPE USING BAYESIAN NETWORK MODELS , 2002 .

[10]  R. Roberts,et al.  Planning and Ecology , 1984, Springer US.

[11]  C. A. van Diepen,et al.  Ground for choices: a scenario study on perspectives for rural areas in the European Community. , 1991 .

[12]  Olli Varis,et al.  Bayesian decision analysis for environmental and resource management , 1997 .

[13]  C. J. Barr,et al.  Sampling the countryside of Great Britain: GIS for the detection and prediction of rural change , 1991 .

[14]  G. Brundtland,et al.  Our common future , 1987 .

[15]  R. Jarvis,et al.  Soils and Their Use in Northern England , 1984 .

[16]  Peter Checkland,et al.  Systems Thinking, Systems Practice , 1981 .

[17]  G. Fechner Elemente der Psychophysik , 1998 .

[18]  Cheol-Joo Cho,et al.  The economic-energy-environmental policy problem: An application of the interactive multiobjective decision method for Chungbuk Province , 1999 .

[19]  G. R. Waters Government policies for the countryside , 1994 .

[20]  N. Milham On incorporating ecological thresholds in farm-level economic models of resource management , 1994 .

[21]  Ralph T. Clarke,et al.  ITE Merlewood Land Classification of Great Britain , 1996 .

[22]  D. D. French,et al.  The application of decision theory to sustainable management of an upland Scottish estate , 1996 .

[23]  Hylton Boothroyd Operational Research Tutorial Papers 1990 , 1992 .

[24]  L. Phillips A theory of requisite decision models , 1984 .

[25]  Josef Kittler,et al.  Application of a Bayesian Network in a GIS Based Decision Making System , 1998, Int. J. Geogr. Inf. Sci..

[26]  Alice Coleman,et al.  The Second Land Use Survey: Progress and Prospect , 1961 .

[27]  Michael P. Wellman,et al.  Bayesian networks , 1995, CACM.

[28]  M. Whitby Land use change: the causes and consequences. , 1992 .

[29]  Sakari Kuikka,et al.  Bene-Eia: A Bayesian Approach to Expert Judgment Elicitation with Case Studies on Climate Change Impacts on Surface Waters , 1997 .