The Application of a Simple Spatial Multi-Criteria Analysis Shell to Natural Resource Management Decision Making

  • Robert G Lesslie
  • Michael J Hill
  • Patricia Hill
  • Hamish P Cresswell
  • Steve Dawson
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)


Natural resource management decision making generally requires the analysis of a variety of environmental, social and economic information, incorporating value judgement and policy and management goals. Justifiable decisions depend on the logical and transparent combination and analysis of information. This chapter describes the application of spatial multi-criteria analysis to natural resource assessment and priority setting at regional and national scales using a newly developed spatial multi-criteria analysis tool — the Multi-Criteria Analysis Shell for Spatial Decision Support (MCAS-S). MCAS-S is designed for use in participatory processes and workshop situations where a clear understanding of different approaches to spatial data management and information arrangement is necessary. The MCAS-S work environment provides for multiple map display, combination and manipulation, live update of changes, and development of spider/radar plots important in ecosystem service assessments. These and other capabilities promote clear visualisation of the relationships among the decision, the science, other constraints and the spatial data. The regional scale example illustrates the analysis of biodiversity and salinity mitigation trade-offs in revegetation in a participatory process. The national scale application illustrates reporting to policy clients on the tensions between resources use and conservation in Australian rangelands — essentially an expert analysis.


Global Sensitivity Analysis Multicriteria Analysis Multicriteria Decision Analysis Ecosystem Service Assessment Spatial Data Management 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Arampatzis G, Kiranoudis CT, Scaloubacas P, Assimacopoulos D (2004) A GISbased decision support system for planning urban transportation policies. European Journal of Operational Research 15:465–475CrossRefGoogle Scholar
  2. Beynon MJ (2005). A method of aggregation in DS/AHP for group decisionmaking with the non-equivalent importance of individuals in the group. Computers and Operations Research 32:1881–1896CrossRefGoogle Scholar
  3. Bisdorff R (1999) Cognitive methods for multi-criteria expert decision making. European Journal of Operational Research 119:379–387CrossRefGoogle Scholar
  4. Brans JP, Mareschal B, Vincke PH (1984) PROMETHEE: A family of outranking methods in multicriteria analysis. Operational Research 22:477–490Google Scholar
  5. Bui E (ed) (1999) A soil information strategy for the Murray-Darling Basin (MDBSIS). Report to Murray Darling Basin Commission, Project D5038, available at Scholar
  6. Ceballos-Silva A, Lopez-Blanco J (2003) Evaluating biophysical variables to identify suitable areas for oat in Central Mexico: a multi-criteria and GIS approach. Agriculture, Ecosystems and Environment 95:371–377CrossRefGoogle Scholar
  7. Cuddy SM, Laut P, Davis JR, Whigham PA, Goodspeed J, Duell T (1990) Modelling the environmental effects of training on a major Australian army base. Mathematics and Computers in Simulation 32:83–88CrossRefGoogle Scholar
  8. Dai FC, Lee CF, Zhang XH (2001) GIS-based geo-environmental evaluation for urban land-use planning: a case study. Engineering Geology 61:257–271CrossRefGoogle Scholar
  9. Dorner S, Shi J, Swayne D (2007) Multi-objective modelling and decision support using a Bayesian network approximation to a non-point source pollution model. Environmental Modelling and Software 22:211–222CrossRefGoogle Scholar
  10. Dragan M, Feoli E, Fernetti M, Zerihun W (2003) Application of a spatial decision support system (SDSS) to reduce soil erosion in northern Ethiopia. Environmental Modelling and Software 18:861–868CrossRefGoogle Scholar
  11. Feick RD, Hall GB (2004) A method for examining the spatial dimension of multi-criteria weight sensitivity. International Journal of Geographical Information Science 18:815–840CrossRefGoogle Scholar
  12. Foley JA, DeFries R, Asner GP, Barford C, Bonan G, Carpenter SR, Chapin FS, Coe MT, Daily GC, Gibbs HK, Helkowski JH, Holloway T, Howard EA, Kucharik CJ, Monfreda C, Patz JA, Prentice IC, Ramankutty N, Snyder PK (2005) Global consequences of land use. Science 309:570–574CrossRefGoogle Scholar
  13. Geneletti D (2007) An approach based on spatial multi-criteria analysis to map the nature conservation value of agricultural land. Journal of Environmental Management 83:228–235CrossRefGoogle Scholar
  14. Giupponi C, Mysiak J, Fassio A, Cogan V (2004) MULINO-DSS: a computer tool for sustainable use of water resources at the catchment scale. Mathematics and Computers in Simulation 64:13–24CrossRefGoogle Scholar
  15. Gomez-Delgado M, Tarantola S (2006) GLOBAL sensitivity analysis, GIS and multi-criteria evaluation for a sustainable planning of hazardous waste disposal site in Spain. International Journal of Geographical Information Science 20:449–466CrossRefGoogle Scholar
  16. Hill MJ, Braaten R, Lees B, Veitch SM, Sharma S (2005a) Multi-criteria decision analysis in spatial decision support: the ASSESS analytic hierarchy process and the role of quantitative methods and spatially explicit analysis. Environmental Modelling and Software 20:955–976CrossRefGoogle Scholar
  17. Hill MJ, Lesslie R, Barry A, Barry S (2005b) A simple, portable, spatial multicriteria analysis shell – MCAS-S. In: Zerger A, Argent RM (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 12–15 December 2005, pp 1532–1538, available at Scholar
  18. Hill P, Cresswell H, Hubbard L (2006a) Spatial prioritisation of NRM investment in the West Hume area (Murray CMA region). Technical Report, CSIRO, Water for a Healthy Country National Research Flagship: Canberra, pp 1–28Google Scholar
  19. Hill MJ, Lesslie RG, Donohue R, Houlder P, Holloway J, Smith J (2006b) Multicriteria assessment of tensions in resource use at continental scale: A proof of concept with Australian rangelands. Environmental Management 37:712–731CrossRefGoogle Scholar
  20. Horst D, Gimona A (2005) Where new farm woodlands support biodiversity action plans: a spatial multi-criteria analysis. Biological Conservation 123:421– 432CrossRefGoogle Scholar
  21. Janssen R, Van Herwijnen M (2006) A toolbox for multi-criteria decision-making. International Journal of Environmental Technology and Management 6:20–39CrossRefGoogle Scholar
  22. Kangas J, Store R, Leskinen P, Mehtätalo L (2000) Improving the quality of landscape ecological forest planning by utilising advanced decision-support tools. Forest Ecology and Management 132:157–171CrossRefGoogle Scholar
  23. Kiker GA, Bridges TS, Varghese A, Seager TP, Linkov I (2005) Application of multicriteria decision analysis in environmental decision making. Integrated Environmental Assessment and Management 1:95–108CrossRefGoogle Scholar
  24. Lesslie R, Barson M, Smith J (2006a) Land use information for integrated natural resources management – a coordinated national mapping program for Australia. Journal of Land Use Science 1:45–62CrossRefGoogle Scholar
  25. Lesslie R, Hill MJ, Woldendorp G, Dawson S, Smith J (2006b) Towards Sustainability for Australia’s Rangelands: Analysing the Options. Australian Government Bureau of Rural Sciences: Canberra, pp 1–12Google Scholar
  26. Li Z, Kafatos M (2000) Interannual variability of vegetation in the United States and its relation to El Nino/Southern Oscillation. Remote Sensing of Environment 71:239–247CrossRefGoogle Scholar
  27. Malczewski J (2006) GIS-based multi-criteria decision analysis: a survey of the literature. International Journal of Geographical Information Science 20:703– 726CrossRefGoogle Scholar
  28. Maniezzo V, Mendes I, Paruccini M (1998) Decision support for siting problems. Decision Support Systems 23:273–284CrossRefGoogle Scholar
  29. Marinoni O (2005) A stochastic spatial decision support system based on PROMETHEE. International Journal of Geographical Information Science 19:51–68CrossRefGoogle Scholar
  30. Mazzetto F, Bonera R (2003) MEACROS: a tool for multi-criteria evaluation of alternative cropping systems. European Journal of Agronomy 18:379–387CrossRefGoogle Scholar
  31. Moody A, Johnson DM (2001) Land-surface phenologies from AVHRR using the discrete Fourier transform. Remote Sensing of Environment 75:305–323CrossRefGoogle Scholar
  32. Morari F, Lugato E, Borin M (2004) An integrated non-point source model-GIS system for selecting criteria of best management practices in the Po Valley, North Italy. Agriculture, Ecosystems and Environment 102:247–262CrossRefGoogle Scholar
  33. Murray Catchment Management Board (2001) Murray catchment management plan; a blueprint for action. Dated 17 October 2001 (draft)Google Scholar
  34. Pettit C, Pullar D (1999) An integrated planning tool based upon multiple criteria evaluation of spatial information. Computers, Environment and Urban Systems 23:339–357CrossRefGoogle Scholar
  35. Pollino CA, Woodberry O, Nicholson A, Korb K, Hart BT (2007) Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment. Environmental Modelling and Software 22:1140–1152CrossRefGoogle Scholar
  36. Ramanathan R (2001) A note on the use of the analytic hierarchy process for environmental impact assessment. Journal of Environmental Management 63:27– 35CrossRefGoogle Scholar
  37. Reed BC, Loveland TR, Tieszen LL (1996) An approach for using AVHRR data to monitor US Great Plains grasslands. Geocarto International 11:1–10CrossRefGoogle Scholar
  38. Ren F (1997) A training model for GIS application in land resource allocation. ISPRS Journal of Photogrammetry & Remote Sensing 52:261–265CrossRefGoogle Scholar
  39. Roderick ML, Noble IR, Cridland SW (1999) Estimating woody and herbaceous vegetation cover from time series satellite observations. Global Ecology and Biogeography 8:501–508CrossRefGoogle Scholar
  40. Saaty TL (2000) Fundamentals of Decision Making and Priority Theory with AHP Analytic Heirarchy Process. RWS Publications, PittsburgGoogle Scholar
  41. Stafford-Smith DM, Morton SR, Ash JA (2000) Towards sustainable pastoralism in Australia’s Rangelands. Australian Journal of Environmental Management 7:190–203Google Scholar
  42. Store R, Jokimaki J (2003) A GIS-based multi-scale approach to habitat suitability modelling. Ecological Modelling 169:1–15CrossRefGoogle Scholar
  43. Store R, Kangas J (2001) Integrating spatial multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modelling. Landscape and Urban Planning 55:79–93CrossRefGoogle Scholar
  44. Veitch SM, Bowyer JK (1996) ASSESS: A System for Selecting Suitable Sites. In: Morain S, Lopez Baros S (eds) Raster Imagery in Geographic Information Systems. OnWord Press, Santa Fe, p 495Google Scholar
  45. Walker J, Veitch S, Dowling T, Braaten R, Guppy L, Herron N (2002) Assessment of catchment condition. CSIRO Land and Water, CanberraGoogle Scholar
  46. Wu F (1998) SimLand: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules. International Journal of Geographical Information Science 12:63–82CrossRefGoogle Scholar
  47. Zhang X, Friedl MA, Schaaf CB, Strahler AH, Hodges JCF, Gao F, Reed BC, Huete A (2003) Monitoring vegetation phenology using MODIS. Remote Sensing of Environment 84:471–475CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Robert G Lesslie
    • 1
  • Michael J Hill
    • 2
  • Patricia Hill
    • 3
  • Hamish P Cresswell
    • 4
  • Steve Dawson
    • 1
  1. 1.Australian Government Bureau of Rural SciencesACTAustralia
  2. 2.Department of Earth System Science and PolicyUniversity of North DakotaUSA
  3. 3.CSIRO Sustainable EcosystemsACTAustralia
  4. 4.CSIRO Land and WaterACTAustralia

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