Journal of Food, Agriculture and Environment

Study on spatial variation of some chemical characteristics of dominant soil series by using geostatistics in Iran: Case Study Heris region

Author(s):

Abbas Haghdar ¹, Mohammad J. Malakouti ², Ahmad Bybordi ^3*, Ali Kalantari ³

Recieved Date: 2011-11-18, Accepted Date: 2012-01-03

Abstract:

Soil is a nonrenewable resource and once destroyed it is gone forever, therefore soil conservation and fertility management play an important role in sustainable development in each country. Soil physicochemical characteristics, distribution and its variations considered as most important factors that affects on sustainable production. One of the helpful tools that can be used to provide required facilities in terms of fertility management is nutrient element mapping. So this experiment was aimed to study on spatial structure and mapping of some nutrient elements using geostatistical (GS) methods by geographic information system (GIS). In this study, 132 composite soil samples were collected from arable lands situated in Heris, East Azarbaijan, Iran during 2010. Soil samples were analyzed for their available phosphorous, potassium, zinc, iron, manganese and copper content. In order to geostatistical studies, first of all, Semi variogram for all nutrient elements was drawn then the best theoretical model was fitted to empirical data. Then by determining Semi variogram parameters, Kriging model was used for estimating of elements content in unknown places. Finally nutrient maps were prepared according to Soil and Water Research Institute’s standards. The results showed that available phosphorus in 48% of lands was at high and very high level (more than 15 mg kg^-1). In addition, available potassium in most of lands was estimated in high and very high level (more than 300 mg kg^-1). By contrast, micronutrient deficiency was common in these lands for example zinc, iron and manganese contents were estimated less than 1, 10 and 8 mg kg^-1, respectively. Conversely, available copper content was estimated in sufficient level.

Keywords:

Soil analysis, geostatistical, geographic information system, mapping

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Journal: Journal of Food, Agriculture and Environment
Year: 2012
Volume: 10
Issue: 1
Category: Environment
Pages: 977-982

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