Geostatistical Assessment of the Spatial Distribution of Some Chemical Properties in Calcareous Soils

doi:10.1016/S1671-2927(00)8707

Journal of Integrative Agriculture ›› 2012, Vol. 12 ›› Issue (10): 1729-1737.DOI: 10.1016/S1671-2927(00)8707

Geostatistical Assessment of the Spatial Distribution of Some Chemical Properties in Calcareous Soils

Asma Najafian, Mahmood Dayani, Hamid Reza Motaghian, Habibolah Nadian

1.Department of Soil Sciences, College of Agriculture, Shiraz University, Shiraz 7144165186, Iran
2.Department of Soil Sciences, Khouzestan Ramin University of Agriculture and Natural Resources, Ahwaz 6341773637, Iran
3.Department of Soil Science, Faculty of Agriculture, Shahrekord University, Shahrekord 8818634141, Iran

收稿日期:2012-01-17 出版日期:2012-10-01 发布日期:2012-11-12
通讯作者: Correspondence Mahmood Dayani, Tel: +98-612-3225289, E-mail: dayani_1983@yahoo.com
基金资助:
This research was carried out at the Soil Science Lab in the Department of Soil Sciences, Ramin University, and was supported by funds from Ramin University.

Geostatistical Assessment of the Spatial Distribution of Some Chemical Properties in Calcareous Soils

Asma Najafian, Mahmood Dayani, Hamid Reza Motaghian, Habibolah Nadian

1.Department of Soil Sciences, College of Agriculture, Shiraz University, Shiraz 7144165186, Iran
2.Department of Soil Sciences, Khouzestan Ramin University of Agriculture and Natural Resources, Ahwaz 6341773637, Iran
3.Department of Soil Science, Faculty of Agriculture, Shahrekord University, Shahrekord 8818634141, Iran

Received:2012-01-17 Online:2012-10-01 Published:2012-11-12
Contact: Correspondence Mahmood Dayani, Tel: +98-612-3225289, E-mail: dayani_1983@yahoo.com
Supported by:
This research was carried out at the Soil Science Lab in the Department of Soil Sciences, Ramin University, and was supported by funds from Ramin University.

摘要/Abstract

摘要： Spatial patterns of soil fertility parameters and other extrinsic factors need to be identified to develop farming practices that match agricultural inputs with local crop needs. Little is known about the spatial structure of nutrition in Iran. The present study was conducted in a 132-ha field located in central Iran. Soil samples were collected at 0-30 cm depth and were then analyzed for total nitrogen (N), available phosphorus (P), available potassium (K), available copper (Cu), available zinc (Zn), available iron (Fe) and available manganese (Mn). The results showed that the contents of soil organic matter, Cu and Zn in Marvdasht’s farms were low. The spatial distribution model and spatial dependence level for soil chemical properties varied in the field. N, K, carbonate calcium equivalent (CaCO3) and electrical conductivity (EC) data indicated the existence of moderate spatial dependence. The variograms for other variables revealed stronger spatial structure. The results showed a longer range value for available P (480 m), followed by total N (429 m). The value of other chemical properties values showed a shorter range (128 to 174 m). Clear patchy distribution of N, P, K, Fe, Mn, Cu and Zn were found from their spatial distribution maps. This proved that sampling strategy for estimating variability should be adapted to the different soil chemical properties and field management. Therefore, the spatial variability of soil chemical properties with strong spatial dependence could be readily managed and a site-specific fertilization scheme for precision farming could be easily developed.

关键词: geostatistics , kriging , spatial variability , precision farming

Abstract: Spatial patterns of soil fertility parameters and other extrinsic factors need to be identified to develop farming practices that match agricultural inputs with local crop needs. Little is known about the spatial structure of nutrition in Iran. The present study was conducted in a 132-ha field located in central Iran. Soil samples were collected at 0-30 cm depth and were then analyzed for total nitrogen (N), available phosphorus (P), available potassium (K), available copper (Cu), available zinc (Zn), available iron (Fe) and available manganese (Mn). The results showed that the contents of soil organic matter, Cu and Zn in Marvdasht’s farms were low. The spatial distribution model and spatial dependence level for soil chemical properties varied in the field. N, K, carbonate calcium equivalent (CaCO3) and electrical conductivity (EC) data indicated the existence of moderate spatial dependence. The variograms for other variables revealed stronger spatial structure. The results showed a longer range value for available P (480 m), followed by total N (429 m). The value of other chemical properties values showed a shorter range (128 to 174 m). Clear patchy distribution of N, P, K, Fe, Mn, Cu and Zn were found from their spatial distribution maps. This proved that sampling strategy for estimating variability should be adapted to the different soil chemical properties and field management. Therefore, the spatial variability of soil chemical properties with strong spatial dependence could be readily managed and a site-specific fertilization scheme for precision farming could be easily developed.

Key words: geostatistics , kriging , spatial variability , precision farming

Asma Najafian, Mahmood Dayani, Hamid Reza Motaghian, Habibolah Nadian. Geostatistical Assessment of the Spatial Distribution of Some Chemical Properties in Calcareous Soils[J]. Journal of Integrative Agriculture, 2012, 12(10): 1729-1737.

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Geostatistical Assessment of the Spatial Distribution of Some Chemical Properties in Calcareous Soils

Geostatistical Assessment of the Spatial Distribution of Some Chemical Properties in Calcareous Soils

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