MODELING SPATIAL STRUCTURE OF SOIL NUTRIENT VARIABLES AND ORGANIC MATTER AS A BASIS FOR IMPLEMENTING PRECISION AGRICULTURE IN THE MARVDASHT PLAIN, IRAN

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MOAMENI A.

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Journal Paper

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Journal: Iranian Journal of Soil Research Year:2001 | Volume:- | Issue:(Special Issue) Page(s): 1-12

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Title

MODELING SPATIAL STRUCTURE OF SOIL NUTRIENT VARIABLES AND ORGANIC MATTER AS A BASIS FOR IMPLEMENTING PRECISION AGRICULTURE IN THE MARVDASHT PLAIN, IRAN

Author(s)

MOAMENI A. | Issue Writer Certificate

Keywords

SPATIAL VARIABILITYQ2

GEOSTATISTICSQ2

KRIGINGQ2

INTERPOLATIONQ3

SOIL NUTRIENT POOLQ4

PRECISION FARMINGQ3

Abstract

This research concerns the semi-arid area of Marvdasht in the Fars Province, south-central Iran. The area, one of the most productive in Iran, is very susceptible to land degradation due to soil, climatic, topographic, hydrological, and biological conditions. The objective of the research was to model the spatial structure of management-dependent soil properties to assess the sustainability of soil resources. Geostatistical analyses were applied to a large data set made available by the Agricultural Research Center of the Fars Province, Division of Soils. The data set included about6, 600 measured values of selected soil properties and was collected during the period of 1991- 1995, using a systematic sampling technique. Variograms of selected management dependent soil properties were computed. Based on the parameters of fitted variowams, KRIGING predictor was used to map the spatial characteristics of soil variables studied. All variables have large ranges of spatial dependence, indicating that long-term wheat cultivation has a homogenizing effect on dynamic soil properties. This might also be related to the lack of agrodiversity and the missing link between animal husbandry and agriculture in the area. Sampling distances smaller than the distance over which each variable shows spatial dependence; require more work without providing more information. Sampling grids with ranges of 2 km for organic carbon, 3.5 km for available phosphorus and potassium and 4 km for total nitrogen, seem to be appropriate in intensity and would be much cheaper than the undiversified, high-density sampling scheme originally applied. The parameters of the variograms, for each variable, can be used to plan efficient surveys to estimate a regional mean and variance that would maximize the information obtained from minimum sample sets. Fertilizer application zones and fertilizer recommendations can be scheduled based on the SPATIAL VARIABILITY of the soil properties. This allows fertilizers to be placed cost effectively where they will provide the most benefit.

Cites

SPATIAL VARIABILITY OF SOIL PROPERTIES AND IRRIGATED WHEAT YIELD IN A QUANTITATIVE SUITABILITY MAP, A CASE STUDY: SHAHR-E-KIAN AREA, CHAHARMAHALVA-BAKHTIARI PROVINCE

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APA: Copy

MOAMENI, A.. (2001). MODELING SPATIAL STRUCTURE OF SOIL NUTRIENT VARIABLES AND ORGANIC MATTER AS A BASIS FOR IMPLEMENTING PRECISION AGRICULTURE IN THE MARVDASHT PLAIN, IRAN. IRANIAN JOURNAL OF SOIL AND WATERS SCIENCES, -((Special Issue)), 1-12. SID. https://sid.ir/paper/15997/en

Vancouver: Copy

MOAMENI A.. MODELING SPATIAL STRUCTURE OF SOIL NUTRIENT VARIABLES AND ORGANIC MATTER AS A BASIS FOR IMPLEMENTING PRECISION AGRICULTURE IN THE MARVDASHT PLAIN, IRAN. IRANIAN JOURNAL OF SOIL AND WATERS SCIENCES[Internet]. 2001;-((Special Issue)):1-12. Available from: https://sid.ir/paper/15997/en

IEEE: Copy

A. MOAMENI, “MODELING SPATIAL STRUCTURE OF SOIL NUTRIENT VARIABLES AND ORGANIC MATTER AS A BASIS FOR IMPLEMENTING PRECISION AGRICULTURE IN THE MARVDASHT PLAIN, IRAN,” IRANIAN JOURNAL OF SOIL AND WATERS SCIENCES, vol. -, no. (Special Issue), pp. 1–12, 2001, [Online]. Available: https://sid.ir/paper/15997/en

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