INTERPRETATION AND INTEGRATION OF PEDOLOGICAL DATA IN LAND EVALUATION SYSTEMS
Keywords:
land capability, land suitability, soil quality index, multiple criteria decision makingAbstract
Highly standardized land evaluation systems and applicable methods are necessary for an ecologically and economically sustainable land use, as the most important requirement. In general, available pedological data and their interpretation define the applicability of different land evaluation systems. Our study focuses on (1) the summary of already applied pedological land information; (2) the main methods of data interpretation and integration in the land evaluation systems; (3) the up to date quantitative land evaluation procedures, with the involvement of mathematical-statistical tools in the studies. Soil classification systems and other complex pedological qualifiers are the basis of qualitative and/or the semi-quantitative land evaluation systems. Selection, interpretation and integration of the simple soil properties and indicators are not easy to use, because those simple parameters should be evaluated in a highly multifactorial environmental context. Development of quantitatively flexible indices and mathematical and statistical methods, that are able to explore pedological and environmental factors in land productivity, beside the most accepted economic ones, seems to be highly necessary nowadays.
References
Agricultural and Rural Development Act., 1965. Canada Land Inventory. Soil Capability Classifi cation for Agriculture. The Canada Land Inventory Report No. 2, Department of Forestry and Rural Development, Ottava, 16 pp.
Agronomic Interpretations Working Group, 1995. Spring-seeded small grains. Land Suitability Rating System for Agricultural Crops, Centre for Land and Biological Resources Research, Agriculture and Agri-Food, Ottava, 93 pp.
Ananda, J, and G. Herath, 2003. The use of analytic hierarchy process to incorporate stakeholder preferences into regional forest planting. Forest Policy and Economics, 5: 13–26.
Andrews, S. S. and C. R. Carrol, 2001. Designing a soil quality assessment tool for sustainable agroecosystem management. Ecological Applications, 11 (6): 1573–1585.
Andrews, S. S., D. L. Karlen and J. P. Mitchell, 2002. A comparison of soil quality indexing methods for vegetable production systems in Northern California. Agriculture Ecosystems and Environment, 90: 25–45.
Bacic, I. L. Z., D. G. Rossiter and A. K. Bregt, 2003. The use of land evaluation information by land use planners and decisionmakers: a case study in Santa Catarina, Brazil. Soil Use Management, 19: 12–18.
Baja, S., D. M. Chapman and D. Dragovich, 2007. Spatial based compromise programming for multiple criteria decision making in land use planning. Environmental Modelling and Assessment, 12: 171–184.
Bibby, J. S., H. A. Douglas, A. J. Thomasson and J. S. Robertson, 1991. Land Capability Classification for Agriculture. Macaulay Land Use Research Institute, Aberdeen, 75 pp.
Brubaker, S. C., A. J. Jones, K. Frank and D. T. Lewis, 1994. Regression models for estimating soil properties by landscape position. Soil Science Society of America Journal, 58: 1763–1767.
Busscher, W., E. Krueger, J. Novak and D. Kurtener, 2007. Comparison of soil amendments to decrease high strength in SE USA Coastal Plain soils using fuzzy decision-making analyses. International Agrophysics, 21: 225–231.
Cox, M. S., D. P. Gerard, M. C. Wardlaw and M. J. Abshire, 2003. Variability of selected soil properties and their relationships with soybean yield. Soil Science Society of America Journal, 67: 1296–1302.
Davidson, D. A., 1992. The Evaluation of Land Resources. Longman, Harlow, 198 pp.
De Araujo, J. L., L. H. C. dos Anjos and M. G. Pereira, 2009. Soil attributes and distinction of pedoenvironments for agriculture in the Mbya Indian Reserve in Ubatuba. Revista Brasileira de Ciencia do Solo, 33 (6): 1765–1776.
De la Rosa, D., J. A. Moreno, L. V. Garcia and J. Almorza, 1992. MicroLEIS: A Microcomputer-based Mediterranean land evaluation information system. Soil Use Management, 8: 89–96.
De La Rosa, D. and C. A. Van Diepen, 2002. Qualitative and quantitative land evaluation, In: Encyclopedia of Life Support System, Eolss Publishers, Oxford.
De la Rosa, D., M. Anaya-Romero, E. Diaz-Pereira, N. Heredia and F. Shahbazi, 2009. Soil-specifi c agro-ecological strategies for sustainable land use – A case study by using MicroLEIS DSS in Sevilla Province Spain. Land Use Policy, 26: 1055–1065.
D’Hose, T., M. Cougnon, A. De Vliegher, B. Vandecasteele, N. Viaene, W. Cornelis, E. Van Bockstaele and D. Reheul, 2014. The positive relationship between soil quality and crop production: A case study on the effect of farm compost application. Applied Soil Ecology, 75: 189–198.
Doran, J. W. and T. B. Parkin, 1996. Quantitive indicators of soil quality: a minimum data set. Soil Science Society of America Journal, 49: 25–37.
Driessen, P. M. and N. T. Konijn, 1992. Land-use systems analysis. Wageningen Agricultural University, Wageningen, Duivendaal, 230 pp.
FAO, 1976. A framework for land evaluation. FAO, Rome, Soils Bulletin, 32.
Gavrilyuk, F. Y., 1974. Soil Bonitation and Land Valuation. Vyssaya Shkola, Moskva, 270 pp. (Ru).
Géczy, G., 1968. Agricultural Area of Hungary. Akadémiai Kiadó, Budapest (Hu).
Heide, G. and E. Mückenhausen, 1980. Land resource evaluation in the Federal Republic of Germany. In: J. Lee and L. van der Plas (Eds.) Land Resource Evaluation, Proceedings of Seminar in the EEC Programme of Coordination of Research on Land Use and Rural Resources, An Foras Taluntais, Wexford, Ireland 7-8 November, 1978, Commission of the European Communities, Directorate-General for Agriculture, Coordination of Agricultural Research, Luxembourg, pp. 38–50.
Herrick, J. E., 2002. Soil quality: an indicator of sustainable land management? Applied Soil Ecology, 15: 75–83.
Juhos, K., Sz. Szabó and M. Ladányi, 2016. Explore the influence of soil quality on crop yield using statistically-derived pedological indicators. Ecological Indicators, 63: 366–373.
Karlen, D. L., M. J. Mausbach, J. W. Doran, R. G. Cline, R. F. Harris and G. E. Schuman, 1997. Soil quality: A concept, definition, and framework for evaluation. Soil Science Society of America Journal, 61: 4–10.
Kelgenbaeva, K., 2002. Adaptation of a mediterranean land suitability model for Inner-Alpine Basins of the Siberian Altai. In: M. F. Buchroithner (Ed.) Proceedings of 7th International Symposium on High Mountain Remote Sensing Cartography, Biskek, 15–26 July, 2002, Inst. for Cartography, University of Techn., Dresden, pp. 109–114.
Kersebaum, K. C., 2007. Modelling nitrogen dynamics in soil-crop systems with HERMES. Nutrient Cycling in Agroecosystems, 77: 39–52.
Klingebiel, A. A. and P. H. Montgomery, 1961. Land Capability Classification, Agriculture Handbook No. 210, Soil Conservation Service, U.S. Department of Agriculture, Washington, 21 pp.
Koreleski, K., 1988. Adaptations of the Storie index for land evaluation in Poland. Soil Survey and Land Evaluation, 8: 23–29.
Krupkin, P. I. and V. V. Toptygin, 1999. Refi nement of the methods of land capability assessment by the example of Krasnoyarsk region. Eurasian Soil Science, 32 (12): 1320–1330.
Kurtener, D. and V. Badenko, 2000. Precision agriculture experimentation on the base of fuzzy models synthesized with GIS. Aspects of Applied Biology, 61: 139–143.
Lamelas, M. T., A. Hoppe, J. de la Riva and O. Marinoni, 2009. Modelling environmental variables for geohazards and georesources assessment to support sustainable land-use decisions in Zaragoza. Geomorphology, 111: 88–103.
Li, P., Z. Li and Z. Zhao, 2002. Index System and Method for Soil Productivity Evaluation on the Hillsides in the Loess Plateau. Arid Land Research and Management, 64: 335–348.
Liebig, M. A., G. Varvel and J. W. Doran, 2001. A simple performance-based index for assessing multiple agroecosystem functions. Agronomy Journal, 336: 313–318.
Lima, A. C. R., L. Brussaard, M. R. Totola, W. B. Hoogmoed and R. G. M. de Goede, 2013. A functional evaluation of three indicator sets for assessing soil quality. Applied Soil Ecology, 64: 194–200.
Lynn, I., A. Manderson, M. Page, G. Harmsworth, G. Eyles, G. Douglas, A. Mackay and P. Newsome, 2009. Land Use Capability Survey Handbook: A New Zealand handbook for the classification of land, AgResearch Ltd, Hamilton; Landcare Research New Zealand Ltd, Lincoln; Institute of Geological and Nuclear Sciences Ltd, Lower Hutt, 163 pp.
Lugo-Morin, D. R. and J. C. Rey, 2008. Evaluation of the vulnerability to agroenvironmental degradation through the use of the MicroLEIS system in soils of the central plains of Venezuela. Revista Internacional Contaminación Ambiental, 25 (1): 43–60 (Sp).
Malczewski, J., 2002. Fuzzy Screening for Land Suitability Analysis. Geographical and Environmental Modelling, 6: 27–39.
Mallarino, A. P., E. S. Oyarzabal and P. N. Hinz, 1999. Interpreting within-field relationships between crop yields and soil and plant variables using factor analysis. Precision Agriculture, 1: 15–25.
Masto, R. E., P. K. Chhonkar, D. Singh and A. K. Patra, 2008. Alternative soil quality indices for evaluating the effect of intensive cropping, fertilisation and manuring for 31 years in the semi-arid soils of India. Environmental Monitoring and Assessment, 136: 419–435.
Mori, A., J. C. Begon, G. Duclos and R. Studer, 1984. First approximation of a national land evaluation system (France). In: J.
C. F. M. Haans, G. G. L. Steur and G. Heide (Eds.) Progress in Land Evaluation. Proceedings of a Seminar on Soil Survey and Land Evaluation, Wageningen (Netherlands) 26–29 September 1983, A. A. Balkema, Rotterdam/Boston, pp. 43–56.
Mueller, L., U. Schindler, A. Behrendt, F. Eulenstein and R. Dannowski, 2007 The Muenchenberg Soil Quality Rating (SQR): a simple method for evaluating the suitability of soils as farmland, Leibniz-Zentrum für Agrarlandschaftsforschung – ZALF, Muencheberg, 102 pp.
Mueller, L., U. Schindler, W. Mirschel, G. Shepherd, B. C. Ball, K. Helming, J. Rogasik, F. Eulenstein and H. Wiggering, 2010. Assessing the productivity function of soils: A review. Agronomy for Sustainable Development, 30: 601–614.
Neill, L. L., 1979. An evaluation of soil productivity based on root growth and water depletion. M.Sc. Thesis, University of Missouri, Columbia, 78 pp.
Pedrycz, W. and F. Gomide, 1998. An Introduction to Fuzzy Sets: Analysis and Design. MIT Press, Cambridge, 465 pp.
Pehamberger, A., 1992. The soil rating in Austria in German. Mitteilungen der Deutschen Bodenkundlichen Gesellschaft, 67: 235–240.
Ping, J. L., C. J. Green, K. F. Bronson, R. E. Zartman and A. Dobermann, 2004. Identifi cation of Relationships between Cotton
Yield, Quality, and Soil Properties. Agronomy Journal, 96 (6): 1588–1597.
Qi, Y., J. L. Darilek, B. Huang, Y. Zhao, W. Sun and Z. Gu, 2009. Evaluating soil quality indices in an agricultural region of Jiangsu Province, China. Geoderma, 149: 325–334.
Rahmanipour, F., R. Marzaioli, H. A. Bahrami, Z. Fereidouni and S. R. Bandarabadi, 2014. Assessment of soil quality indices in agricultural lands of Qazvin Province, Iran. Ecological Indicators, 40: 19–26.
Reidsma, P., F. Ewert, H. Boogaard and K. Dieper, 2009. Regional crop modelling in Europe: The impact of climatic conditions and farm characteristics on maize yields. Agricultural Systems, 100: 51–60.
Rezaei, S. A., R. J. Gilkes and S. S. Andrews, 2006. A minimum data set for assessing soil quality in rangelands. Geoderma, 136: 229–234.
Rossiter, D. G., 1995. Economic land evaluation: why and how? Soil Use Management, 11: 132–140.
Rothkegel, W., 1950. Historical Development of Soil-Bonitation and the Nature and Importance of the German Soil Evaluation. Verlag Eugen Ulmer, Stuttgart, 147 pp.
Saaty, T. L., 1980. The Analytic Hierarchy Process. McGraw-Hill, New York.
Sanchez, P. A., W. Couto and S. W. Buol, 1982. The fertility capability soil classification system: Interpretation, application and modification. Geoderma, 27: 283–309.
Shahbazi, F., D. De la Rosa, M. Anaya-Romero, A. Jafarzadeh, F. Sarmadian, M. Neyshaboury and S. Oustan, 2008. Land use planning in Ahar area (Iran) using MicroLEIS DSS. International Agrophysics, 22 (3): 277–286.
Shukla, M. K., R. Lal and M. Ebinger, 2004. Principal component analysis for predicting corn biomass and grain yields. Soil Science, 169 (3): 215–224.
Stefanovits, P., F. Máté and Fórizsné, 1972. Soil bonitation – Land evaluation. Agrártudományi Közlemények, 30 (3): 359–378 (Hu).
Storie, R. E., 1978. Storie index for soil rating revised, Special Publications of Division of Agriculture and Natural Resources 3203, University of California, Davis.
Sys, C., E. Van Ranst and J. Debaveye, 1991. Land evaluation. Part 1. Principles in land evaluation and crop production calculations. General Administration for Development Cooperation, Agricultural Publication 7, Brussels, 274 pp.
Tóth, T., 2011. Evaluation of cropland productivity in Hungary with the D-e-Meter land evaluation system. Agrokémia és Talajtan, 60: 161–174.
Wagner, J., 2001. Soil quality assessment in Austria. Mitteilungen der Österreichischen Bodenkundlichen Gesellschaft Heft, 62: 69–104.
Xiong, W., D. Conway, I. Holman and E. Lin, 2008. Evaluation of CERES-Wheat simulation of Wheat Production in China. Agronomy Journal, 100: 1720–1728.
Xu, M. X., Y. G. Zhao, G. B. Liu and G. V. Wilson, 2006. Identification of soil quality factors and indicators for the Loess Plateau of China. Soil Science, 171: 400–413.
Yao, R., J. Yang, P. Gao, J. Zhang and W. Jin, 2013. Determining minimum data set for soil quality assessment of typical saltaffected farmland in the coastal reclamation area. Soil & Tillage Research, 128: 137–148.
Zhang, B., Y. Zhang, D. Chen, R. E. White and Y. Li, 2004. A quantitative evaluation system of soil productivity for intensive agriculture in China. Geoderma, 123: 319–331.
Zobel, R. W., M. J. Wright and H. G. Gauch, 1988. Statistical analysis of a yield trial. Agronomy Journal, 80 (3): 388–393.
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