Generating agricultural landscapes for alternative futures analysis: A multiple attribute decision-making model

被引:16
作者
Department of Bioengineering, Oregon State University, 116 Gilmore Hall, Corvallis, OR 97331, United States [1 ]
机构
[1] Department of Bioengineering, Oregon State University, Corvallis, OR 97331
来源
Trans. GIS | 2006年 / 1卷 / 103-120期
关键词
34;
D O I
10.1111/j.1467-9671.2006.00246.x
中图分类号
学科分类号
摘要
This paper describes the development of a multi-attribute decision model that generates depictions of the agricultural landscape for use in alternative futures studies. The fundamental assumption of the model is that changes in agricultural land cover are due to rational decisions made by an agricultural producer that are based on the attributes of the producer, the crops, and the field. The model first evaluates any changes in the land base due to conversion of farmland to non-agricultural uses, and then uses field descriptions, crop characteristics, and the decision paradigm of an agricultural producer to determine the preferred crop for each field under a particular policy scenario. By cycling over the fields for each time-step in the simulation, future depictions of the agricultural system that respond to various drivers of change are generated. An example implementation of an alternative futures model is provided to show how this method can be used to examine alternative policy or management options. © 2006 The Authors Journal compilation © 2006 Blackwell Publishing Ltd.
引用
收藏
页码:103 / 120
页数:17
相关论文
共 34 条
  • [1] Abu-Zeid K.M., A multicriteria decision support system for evaluating cropping pattern strategies in Egypt, Multiple Objective Decision Making for Land, Water, and Environmental Management, pp. 105-120, (1998)
  • [2] Agarwal C., Green G.M., Grove J.M., Evans T., Schweik C., A Review and Assessment of Land-Use Change Models: Dynamics of Space, Time, and Human Choice, (2002)
  • [3] Berger P.A., Rough set rule induction for suitability assessment, Environmental Management, 34, pp. 546-558, (2004)
  • [4] Berger P.A., Bolte J., Evaluating the impact of policy options on agricultural landscapes: An alternative futures approach, Ecological Applications, 14, pp. 342-354, (2004)
  • [5] Carver S., Integrating multi-criteria evaluation with geographical information systems, International Journal of Geographical Information Systems, 5, pp. 321-339, (1991)
  • [6] Chen K., Blong R., Jacobson C., Towards an integrated approach to natural hazards risk assessment using GIS: With reference to bushfires, Environmental Management, 31, pp. 546-560, (2003)
  • [7] Chen S.J., Hwang C.L., Fuzzy Multiple Attribute Decision Making, (1992)
  • [8] Daly C., Neilson R.P., Phillips D.L., A statistical-topographic model for mapping climatological precipitation over mountainous terrain, Journal of Applied Meteorology, 33, pp. 140-158, (1994)
  • [9] Dunn E.G., Keller J.M., Marks L.A., Integrated decision making for sustainability: A fuzzy MADM model for agriculture, Multiple Objective Decision Making for Land, Water, and Environmental Management, pp. 313-322, (1998)
  • [10] Hulse D., Branscomb A., Payne S., Envisioning alternatives: Using citizen guidance to map spatially explicit assumptions about future land and water use, Ecological Applications, 14, pp. 325-341, (2004)