Development of pedotransfer functions for prediction of soil nitrogen and its spatial distribution in conservation of Damavand’s rangelands

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Research Paper 01/07/2013
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Development of pedotransfer functions for prediction of soil nitrogen and its spatial distribution in conservation of Damavand’s rangelands

Maryam Dadgar, Ehsan Zandi Esfahan
Int. J. Biosci. 3(7), 74-81, July 2013.
Copyright Statement: Copyright 2013; The Author(s).
License: CC BY-NC 4.0

Abstract

In Iran, soil nitrogen is very low in most areas of production like agriculture and rangeland. This fact indicates that minor changes in soil nitrogen could have a high impact on the soil properties and soil quality in arid and semi-arid conditions. Determination of nitrogen content in soil is of utmost importance because of its role in soil physical, chemical and biological properties. This research was aimed to estimate soil nitrogen using pedotransfer functions and independent variables of soil physical and chemical properties. For this purpose, 60 soil samples were taken systematically from depth of 0-30 cm, and soil organic carbon content, pH, lime, nitrogen, sand, silt and clay were determined. According to the obtained results, the average, minimum and maximum nitrogen content of the soil was 0.846, 0.706 and 1.608 grkg-1, respectively. Nitrogen content showed the highest correlation coefficient with organic carbon (r= 0.930**, P< 0.01) and clay (r= 0.765**, P< 0.01).

Abdi N. 2007. Introduction of carbon sequestration as an indicator to measure the sustainable development of natural resources. Conference abstracts sustainable development strategies in agriculture. Naturally, Arak on December 5. Page 62-57.

Ali Ehyaei M, Behbehani Zade AA. 1993. Methods of soil chemical analysis. Soil and Water Research Institute of Agricultural Extension and Education. Vol. 128 pages.

Azarnivand H, Junaid Jafari H, Chahuky Zare MA, Jafari M, Nikoo N. 2010. The effect of grazing on carbon sequestration and storage of nitrogen in grassland with sagebrush plain Artemisia sieberi)) in the province. Journal of pasture, in the third /Vol 4 No. 610-590

Bayat  H,  Neyshabouri  MR,  Mohammadi  K, Nariman Zadeh N. 2011. Estimating water retention with pedotransfer functions using multi-objective group method of data handling and ANNs. Pedosphere 21 (1), 107–114.

Bouma J. 1989. Using soil survey data for quantitative land evaluation. Adv. In Soil Sci 9, 177-213

Falahzadeh J. 2010. Estimates of carbon sequestration potential of soils in arid and semi-arid (A case study of agricultural lands and desert soils in the center of city Abarkuh). Eleventh Congress of Soil Science, Iran, page 433.

Fruzeh MR, Heshmati GHA, Ghanbarian GHA, Misbah SH. 2009.Comparing the carbon sequestration potential of a plant species daisy, black sagebrush equatorial plain of arid rangelands of Iran (Case Study: Plain Grbaygan FASA). Journal of Ecology, in the thirty-fourth, No. 46, Summer 87, page 72-65.

Kasel S, Singh S, Sanders GJ, Bennett LT. 2011. Species-specific effects of native trees on soil organic carbon in biodiverse plantings across north-central Victoria, Australia. Geoderma 161, 95–106.

Lufafa A, Diédhiou I, Samba SAN, Séné M, Khouma M, Kizito F, Dick RP, Dossa E, Noller JS. 2008. Carbon stocks and patterns in native shrub communities of Senegal’s Peanut Basin. Geoderma 146, 75-82.

Mahmoudi SH, Hakimian M. 2006. Fundamentals of Soil Science. Tehran University Press. 700 pages.

Malakouti MJ, Homaee M. 2006. Fertile soils in arid and semiarid regions. “Of the problems and solutions.” Tarbiat Modarres University, Tehran, Iran. 488 pages.

McBrantey AB, Minansy B, Cattle SR, Vervoot RW. 2002. From pedotransfer function to soil inference system. Geoderma 109, 41-73

Mohajer R, Salehi MH, Beygi Hrchgany HA. 2010. Estimated using regression and neural networks CEC separation of the data and the accuracy of the functions. Soil and Water Science (Science and Technology of Agriculture and Natural Resources), No 49, Page 97-83.

Mohammadi J, Taheri SA. 2006. Fitting the pedotransfer functions using fuzzy regression. Science and Technology of Agriculture and Natural Resources, in ninth. Second edition. Page 60-51.

Naghipour borj AA. Diyanati Tylakey GH, Tavakouli H, Heydariyan agakhani M. 2010. Effect of grazing intensity on plant biomass and soil carbon sequestration in semi-arid rangelands (Case study: BOJNURD Sysab rangeland). Journal – Range and Desert Research of Iran. Volume 16, Number 3, 385-375 p.

Paz-Gonzalez A, Vieira SR, Castro T. 2000. The effect of cultivation on the spatial variability of selected properties of an umbric horizon. Geoderma 97, 273–292.

Shalmani AA,Shabanpour Shahrestani M, Asadi H, Bagher F. 2010. Comparison of regression pedotransfer functions and artificial neural networks for soil aggregate stability simulation 19th World Congress of Soil Science, Soil Solutions for a Changing World.1 – 6 August 2010, Brisbane, Australia.

Sokouti Oskouei R, Mahdian MH, Brushkeh A, Kamali K. 2012. Development of pedotransfer functions for prediction of infiltration in flood areas. Twelfth Congress of Soil Science, Iran

Varamesh S. 2010. The effectiveness of carbon sequestration in forest development and soil conservation. Eleventh Congress of Soil Science, Iran, page 450.

Zhao SQ, Liu S, Li Z, Sohl TL. 2010. Spatial resolution thresholds of land cover in estimating terrestrial carbon sequestration in four counties in Georgia and Alabama, USA. Biogeosciences 7, 71—80.

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