Quantitative soil quality assessment in different land uses at some Parts of south eastern of Qazvin

Document Type : Research Paper

Authors

University of Tehran

Abstract

The assessment of soil quality is one of the most useful methods to evaluate soil management conditions and different uses of land. The determination and comparison of quantity indices is one of the best ways to compare the quality of different soils. In this study, soil quality indices and selection methods were compared to evaluate the soil quality effectively for various land uses. In this paper, seventeen properties of soil including the physical, chemical and biological properties were selected as total data sets (TDS) at five different land uses including orchard, rangeland, irrigated farming, dry land farming and unutilized lands in slope classes of 0-2%, 5-7% and 9-11% at some parts of south eastern Qazvin province,Iran. Then, 7 properties were selected as Minimum Data Set (MDS) using Principle Component Analysis (PCA). The soil quality was evaluated by Integrated Quality Index (IQI) and Nemero Quality Index (NQI) in two sets of soil properties including MDS and TDS. The results from the research showed that orchard and rangeland hadthe highest IQI and NQI in both data sets, respectively. However, irrigated farming, dry land farming and unutilized lands have the least IQI and NQI in both data sets respectively, and they have significant difference compared to orchard and rangeland. The correlation coefficients between TDS and MDS were 0.95 and 0.88 for IQI and NQI, respectively. These coefficients indicate the higher reliability of MDS against TDS, and also they show that the IQI offers better results to evaluate the soil quality in this case study.

Keywords

References

Alexander, M. (1982)., Most probable number method for microbial populations. In: Page AL., Miller RH., Keeney DR. (Eds.), Methods of Soil Analysis Part2. Amer. Soc. for Agron, Madison USA, 815–820.
Anderson, E., & John, P. 1982. Soil respiratiovn. Methods of Soil Analysis Part2. Amer. Soc. for Agron, Madison USA: 831–870.
Andrews, S.S., Karlen, D.L., Mitchell, J.P., 2002a. A comparison of soil quality indexing methods for vegetable production systems in Northern California. Agric. Ecosyst. Environ. 90, 25–45.
Andrews, S.S., Mitchell, J.P., Mancinelli, R., Karlen, K.L., Hartz, T.K., Horwath, W.R., Pettygrove, G.S., Scow, K.M., Munk, D.S., 2002b. On-farm assessment of soil quality in California's central valley. Agron. J. 94, 12–23.
Aparicio, V., and Costa, J.L. 2007. Soil quality indicators under continuous cropping systems in the Argentinean pampas. Soil and Tillage Research, 96: 155-165.
Blake GR., Hart age KH, 1986. Bulk density. In: Klute, A. (Ed.), Methods of Soil Analysis. Part1: physical and Mineralogical Methods, 2nd ed. Agronomy Monograph. 9: 363–382.
Bone, J., Barraclough, D., Eggleton, P., Head, M., Jones, D., Voulvoulis, N. 2012. Prioritising soil quality assessment through the screening of sites: the use of publicly collected data. Land Degradation & Development, 25(3), 251-266. Land Degradation & Development.
Brejda JJ., Moorman TB., Karlan DL. And Dao TH. 2000. Identification of regional siol quality factors and indicators: I. Central and Southern High Plains, . Soil Science Society of America Journal, 64(6), 2115-2124. Soil Sci. Soc. Am. J. 64, 2115-2124.
Doran, J.W. and T.B. Parkin. 1994. Defining and assessing soil quality. In J.W. Doran, D.C. Coleman, D.F. Bezdicek, and B.A. Stewart (ed.) Defining soil quality for a sustainable environment. Soil Science Society of America Special Publication no. 35, Madison, WI.1-21.
Doran, J.W., and A.J. Jones, (Eds.), 1996. Methods for Assessing Soil Quality. Soil Science Society of America Special Publication, vol. 49. Soil Science Society of America, Madison, WI. 25-37.
Emami, H., Astaraei, A.R., Fotovat, A. 2014. Evaluating The Effect of Organic Matter on Soil Quality Score Functions. Journal of Water and Soil. 28(3), 565-574. (In Farsi).
Gee G.W., and Bauder J.M. 1986. Partical-size analysis. In Methods of Soil Analysis, Part 1, physical and Mineralogical Methods. Agronomy Monogroph No. 9 (2nd edition), American Society of Agronomy, Madison, WI. Pp 383-411.
Ghaemi, M., Astaraei, A.R., Sanaei nezhad, S.H., Nasiri mahalati,M., Emami,H. 2013. Evaluating Chemical Quality of Several soil cultivation wheat-corn Using of soil quality Models at some Parts of Southeast Mashhad area.  Soil Reserch. 27(4), 463-473. (In Farsi).
Govaerts, B., K.D. Sayre, and J. Deckers, 2006. A minimum data set for soil quality assessment of wheat and maize cropping in the highlands of Mexico. Soil & Tillage Research, 87(2), 163-174.87:163–174.
Han, W.J., Wu, Q.T., 1994. A primary approach on the quantitative assessment of soil quality. Chinese J. Soil Sci. 25, 245–247 (In Chinese with English Abstract).
Jenkinson, DS., Brookes, PC. & Powelson, DS. 2004. Measuring soil microbial biomass. Soil Biology and Biochemistry. (36):),5-7.
Karlen, D.L., Andrews, S.S., Wienhold, B.J., Zobeck, T.M. 2008. Soil quality assessment: Past, present and future. Electronic Journal of Integrative Biosciences 6: , 3-14.
Karlen, D.L., Gardner, J.C., Rosek, M.J., 1998. A soil quality framework for evaluating the impact of CRP. Journal of Production Agriculture 11, 56 – 60.
Kemper W.D., and Rosenau R.C. 1986. Aggregate stability and size distribution. In: Klute A (ed). Methods of Soil Analysis. Part a: physical and Mineralogical Methods. American Society of Agronomy. Soil Science Society of America, Madison, WI. Pp 425–442.
Klute, A., & Dirksen, C. 1986. Hydraulic conductivity and diffusivity: Laboratory methods. Methods of Soil Analysis: Part 1—physical and Mineralogical Methods (methodsofsoilan1): 687-734.
Lal R., Kimble J. and Follett R.F. 1997. Pedospheric processes and the carbon cycle. p. 1–8. In: Lal, R., W.H. Blum, C.Valentine, B.A. (eds.) Stewart. Methods for Assessment of Soil Degradation. CRC Press, Boca Raton.
Liu, Y., Wang, H., Zhang, H., & Liber, K. 2016. A comprehensive support vector machine-based classification model for soil quality assessment. Soil and Tillage Research,. 155, 19-26.
Liu, Z. J., Wei, Z., Shen, J. B., Li, S. T., Liang, G. Q., Wang, X. B., ... & Chao, A. (2014). Soil Quality Assessment of Acid Sulfate Paddy Soils with Different Productivities in Guangdong Province, China. Journal of Integrative Agriculture. 13(1), 177-186.
Marzaioli, R., D’Ascoli, R., De Pascale, R.A., Rutigliano, F.A. 2010. Soil quality in a Mediterranean area of Southern Italy as related to different land use types. Applied Soil Ecology, . 44(3), 205-212.
Mohaddes, F. 2010. Principal Component and Factor Analysis Case Study: Assets Price Evaluation and Inflation Impacts. Economic Research and Policy Department Central Bank of the Islamic Republic of Iran.
Nelson BW and Sommers LE, 1986. Total carbon, organic carbon and organic matter. Pp:539 - 577. In: Page AL, Miller RH and Keeney DR (Eds). Methods of Soil Analysis. Part 2. Soil Sci Soc of Am, Madison WI.
Olsen, SR., & Sommers, L. 1982. phosohorus. In: AL. Page: Methods of soil analysis, Agron. No. 9, Part2: Chemical and microbiological properties, (ed.) Am. Soc.Agron., Madison, WI, USA.: 403-430.
Page A.L., Miller R.H., and Keeney D.R. 1982. Methods of Soil Analysis, part2, chemical and microbiological properties. American Society of Agronomy, Inc. Soil Science Society of Aamerica, Madison, WI.
Qi, Y., Darilek, J.L., Huang, B., Zhao, Y., Sun, W., Gu, Z. 2009. Evaluating soil quality indices in an agricultural region of Jiangsu Province, China. Geoderma, 149(3–4), 325-334.
Qin, M.Z., Zhao, J., 2000. Strategies for sustainable use and characteristics of soil quality changes in urban-rural marginal area: a case study of Kaifeng. Acta Geogr. Sin. 55, 545–554 (In Chinese with English abstract).
Rahmanipour, F., Bahrami, H.A., Bandarabadi, S.R., Fereidouni, Z. 2013. Quantitative soil quality assessment and its spatial distribution at some Parts of agricultural lands in Qazvin Province. Iranian Journal of Soil and Water Research. 43(1), 1-8. (In Farsi).
Rahmanipour, F., Marzaioli, R., Bahrami, H.A., Fereidouni, Z., Bandarabadi, S.R. 2014. Assessment of soil quality indices in agricultural lands of Qazvin Province, Iran. Ecological Indicators, . 40(0), 19-26.
Reynolds, W.D., Drury, C.F., Tan, C.S., Fox, C.A., Yang, X.M. 2009. Use of indicators and pore volume-function characteristics to quantify soil physical quality. Geoderma, . 152(3–4), 252-263.
Rezaei SA, Gilkes RJ, Andrews SS. 2006. A minimum data set for assessing soil quality in rangelands.Geoderma.136: , 229–234.
Ruiz, E. C., Ruiz, A. C., Vaca, R., del Aguila, P., & Lugo, J. 2015. Assessment of Soil Parameters Related With Soil Quality in Agricultural Systems. Life Science Journal, 12(1).
Shahab, H., Emami, H., Haghnia, Gh. 2012. Evaluating the relationship between the Models to determine soil quality and sustainable indices in agricultural and range lands of southern Mashhad area. . Soil Reserch. Vol. 26, No.(3: ), 227-234. (In Farsi).
Shahab, H., Emami, H., Haghnia, Gh., Karimi, A. 2011. Determination the Optimal optimal Range range of Pore pore Volume volume Distribution distribution by Using using of Soil soil Physical Quality Indicators and Effect of Soil Properties on Sgi Index. Journal of Water and Soil. 25, (4), 881-891. (In Farsi).
Shukla M.K., Lal R., and Ebinger M. 2006. Determining soil quality indicators by factor analysis. Soil and Tillage Research, 87(2), 194-204. Soil Tillage Res, 87, 194–204.
Sun B., Zhou S.L., and Zhao Q.G. 2003. Evaluation of spatial and temporal changes of soil quality based on geostatistical analysis in the hill region of subtropical China. Geoderma, 115, 85–99.
Wang, X., Gong, Z. 1998. Assessment and analysis of soil quality changes after eleven years of reclamation in subtropical China. Geoderma, 81(3–4), 339-355.
Iranian Journal of Soil and Water Research
Volume 48, Issue 5
January 2018
Pages 941-950

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