applying spatial geostatistical analysis models for evaluating variability of soil properties in eastern shiraz, iran

Authors

e. bijanzadeh

m. mokarram

r. naderi

abstract

abstract- the information on the spatial properties of soil is vital to improve soil management and to increase the crop productivity. geostatistical analysis technique is one of the most important methods for determining the spatial properties of soil. the aim of this study was to investigate spatial variability of soil chemical and physical attributes for field management in eastern shiraz, iran, in 2010. in the study area, for applying geostatistical analysis, eighty soil samples were taken randomly. the variability of   saturation percentage (sp), electrical conductivity (ec), soil ph, sand%, silt%, clay%, nitrogen (n), phosphorus (p) and potassium content (k) of the soil used to determine the spatial properties of soil by geostatistical analysis techniques. soil properties were analyzed both geostatistically and statistically on the basis of the semivariogram models. thus, each soil parameter was used for different semivariogram models such as spherical, circular and exponential because of their different spatial structures. the results showed that the best model to generate soil properties map was ordinary kriging with spherical and exponential semivariogram models. the best model for soil ph, sp, k and n was the spherical model whereas for sand%, silt%, clay%, ec and p, the best model was the exponential model. based on the models, the range of spatial dependency was found to vary within soil parameters. ec had the longest (134 meter) and ph had the shortest (19.1 meter) range of spatial dependency. additionally, spatial patterns may vary among soil parameters in the study area. therefore, semivariogram models can be useful tools to determine spatial variability of parameters, preparing soil map and field management strategy.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Applying Spatial Geostatistical Analysis Models for Evaluating Variability of Soil Properties in Eastern Shiraz, Iran

ABSTRACT- The information on the spatial properties of soil is vital to improve soil management and to increase the crop productivity. Geostatistical analysis technique is one of the most important methods for determining the spatial properties of soil. The aim of this study was to investigate spatial variability of soil chemical and physical attributes for field management in eastern Shiraz, I...

full text

Spatial variability of some soil properties for site specific farming in northern Iran

Evaluating agricultural land management practices requires knowledge of soil spatial variability and understanding their relationships. Spatial distributions for fourteen soil physical and chemical properties were examined in a wheat field in Sorkhankalateh district, in Golestan province, Iran. 101 soil samples at the distances of 5m, 10m and 20m as nested grid were collected at the depth of 0-...

full text

Catchment-scale spatial variability analysis of soil hydro-physical properties in a semi-arid region of Iran

Soil hydrau-physical data are important for many hydrological modelings. They are the main variables controllingthe key processes such as water and chemicals movement and transport in the soil profiles. This study was conductedin order to analyze the spatial distribution of selected soil hydrau-physcial characteristics including infiltration rate(IR), saturated hydraulic conductivity (Ks), bulk...

full text

geostatistical assessment of spatial variability of some surface soil properties in arsenjan plain

for optimum planning, utilization, and management of lands, recognition of spatial variability of soil properties is necessary. this research was conducted to evaluate spatial variability of soil properties in 5000 ha of arsenjan plain in fars province. for this purpose, soil salinity, ph, particle size percentage, sodium, potassium, and organic carbon (oc) were measured on a systematic squared...

full text

Spatial variability and estimation of tree attributes in a plantation forest in the Caspian region of Iran using geostatistical analysis

This research was conducted to investigate spatial variability and estimate tree attributes in a plantation forest in the Caspian region of Iran using geostatistical analysis. Sampling was performed based on a 50m?125m systematic grid in a maple stand (Acer velutinum Boiss) 18 years of age using circular samples of 200m2 area. Totally, 96 sample plots were measured in 63 hectares and 14.25 he...

full text

Analysis of spatial variability of soil properties using geostatistics and remote sensing

Soil mapping is one of the basic studies in the natural resource sector. The purpose of this study was to analyze spatial of soil properties on the map of arid areas and deserts. For this purpose, a region with an area of 600 hectares in Qom that considered Salt Lake watershed. Specified methods used include inverse distance methods, radial functions, and prediction local general estimate. Krig...

full text

My Resources

Save resource for easier access later


Journal title:
iran agricultural research

Publisher: shiraz univercity

ISSN 1013-9885

volume 33

issue 2 2015

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023