Davatgar, N., Shakouri Katigari, M. (2014). Evaluation of Scale Invariance to Optimize Sampling Management of Soil Properties in Paddy Fields. , 28(2), 341-350. doi: 10.22092/ijsr.2014.120892
Naser Davatgar; M. Shakouri Katigari. "Evaluation of Scale Invariance to Optimize Sampling Management of Soil Properties in Paddy Fields". , 28, 2, 2014, 341-350. doi: 10.22092/ijsr.2014.120892
Davatgar, N., Shakouri Katigari, M. (2014). 'Evaluation of Scale Invariance to Optimize Sampling Management of Soil Properties in Paddy Fields', , 28(2), pp. 341-350. doi: 10.22092/ijsr.2014.120892
Davatgar, N., Shakouri Katigari, M. Evaluation of Scale Invariance to Optimize Sampling Management of Soil Properties in Paddy Fields. , 2014; 28(2): 341-350. doi: 10.22092/ijsr.2014.120892

Evaluation of Scale Invariance to Optimize Sampling Management of Soil Properties in Paddy Fields

پژوهش های خاک
Article 9, Volume 28, Issue 2, October 2014, Pages 341-350    PDF (439.56 K)
Document Type: Research Paper
DOI: 10.22092/ijsr.2014.120892
Authors
Naser Davatgar* 1; M. Shakouri Katigari2
1Assistant Professor, Rice Research Institute of Iran (RRII)
2MSc, Rice Research Institute of Iran (RRII)
Abstract
The sampling design, samples size, and their distances have important roles in determining the quality of the environmental variables map. This study was conducted to optimize sampling management (size, distance, and sampling design) with integrating of the scale invariant, variability, and the balance of the cost of measurement-estimation variance. The soil studied variables were total nitrogen, available phosphorous (P) and available potassium (K) in paddy fields of Guilan province. Four different sampling scales were considered in a paddy field of 306 ha. The scales consisted of 357 soil samples with dimensions of 100 × 50 m; 127 soil samples with dimensions of 200 × 100 m; 74 soil samples with dimensions of 400 × 200 m; and the fourth scale consisted of 43 soil samples with dimensions of 800 × 400 m. The spatial structure and scale invariance were assessed using variogram and the Hurst parameter, respectively. The strategy of the balance between the costs of measurement- variance estimation was economically efficient in the measurements of these variables, which showed self-similarity and scale invariance. The optimum size and distance for available P and K were 240 samples with a rectangular network pattern (75m × 150m) along the 44° north-west direction. However, the strategy of the balance between the costs of measurement- variance estimation is not suitable for those variables  that show heterogeneity and scale variance, e.g. total nitrogen in the studied region.
Keywords
Balance of variance estimation–cost of measurement; Hurst parameters; Kriging; Self-similarity; Spatial variability
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