2.1. Statistical analysis
The statistics of soil samples are presented in Table 3. According to the results of statistics, significant changes in soil mineral particles in the range of 4 to74%, 9 to 66%, and 6 to 46% have occurred for sand, silt, and clay particles, respectively, which caused the creation of eight textural classes, includes clay, silty clay, silty clay loam, clay loam, silt loam, loam, sandy clay loam, and sandy loam. Such diversity of textural classes can provide a difference in soil properties and their relationship with crop plant growth (Vinhal-Freitas et al., 2017). As can be seen in Table 3, among soil mineral particles, the highest coefficient of variation (CV) is related to clay. The high CV for clay is probably due to flood irrigation and erosion caused in farming lands by this type of irrigation because this type of irrigation causes the transfer of clay from different farms (Olsson et al., 2019).
The mean, minimum, maximum, and CV values of EC were 0.54, 0.22, 1.59 (dS.m− 1), and 57.91%, respectively (Table 3). Therefore, the soils are in the non-saline group. The data relating to soil pH showed that the mean, minimum, maximum, and CV values of this index were 7.4, 8.21, 7.86, and 1.8%, respectively (Table 3). Among all the measured soil properties, the lowest value of the CV was related to pH, which indicates the low variability of this soil properties. The mean, minimum, maximum, and CV values of CaCo2 were 0.85, 32.37, 16.26, and 8.29%, respectively (Table 3). These values show that the soils of the study area are low to moderately alkaline (Hazelton & Murphy, 2016).
Table 3
Statistical properties of studied soil in all districts
Soil parameters
|
Minimum
|
Maximum
|
Mean
|
Standard deviation
|
Coefficient of variation (%)
|
EC (dS/m)
|
0.22
|
1.59
|
0.54
|
0.31
|
57.91
|
pH
|
7.40
|
8.21
|
7.86
|
0.14
|
1.80
|
CaCO3 (%)
|
0.85
|
32.37
|
16.26
|
8.29
|
51.00
|
OM (%)
|
0.07
|
3.46
|
1.05
|
0.56
|
52.86
|
Total N (%)
|
0.004
|
0.17
|
0.05
|
0.03
|
52.86
|
P (mg/kg)
|
0.53
|
920
|
13.61
|
56.71
|
416.70
|
K (mg/kg)
|
2.92
|
2280
|
408.70
|
252.24
|
61.72
|
Fe (mg/kg)
|
1.56
|
3.31
|
2.39
|
0.34
|
14.38
|
Mn (mg/kg)
|
3.33
|
9.29
|
4.89
|
0.99
|
20.23
|
Zn (mg/kg)
|
0.30
|
0.77
|
0.44
|
0.09
|
20.75
|
Cu (mg/kg)
|
0.00
|
0.61
|
0.23
|
0.15
|
64.64
|
Clay (%)
|
6.00
|
46.00
|
19.59
|
8.38
|
42.79
|
Sand (%)
|
4.00
|
74.00
|
44.79
|
12.74
|
28.44
|
Silt (%)
|
9.00
|
66.00
|
35.68
|
8.10
|
22.71
|
Table 3 :HERE
Soil organic matter (SOM) is one of the most important indicators for evaluating soil fertility, which is of global interest (Herrick and Wander, 2018). In this study, the mean, minimum, maximum, and CV values of the SOM were 0.07, 1.05, 3.46, and 52.86%, respectively (Table 3). Jat et al. (2018) classified values less than 1 (%) in the very low class and values greater than 3 (%) in the high SOC class. Therefore, according to the average values of SOM, the lands of this region are in the moderate class. The mean, minimum, maximum, and CV values for TN were obtained as 0.03, 0.17, 0.05, and 52.86%, respectively. These values for AP were 53, 920, 0.61, and 416.70%, respectively. Also, according to the average obtained for AK (408.70%) in these soils, the amount of AK is moderate to very high (Table 3). The mean of micronutrients, including Fe, Mn, Zn, and Cu, were 2.39, 4.89, 0.44, and 0.23 (mg.kg− 1), respectively. According to these data, the micronutrient of these soils is in the low to medium class (Otieno et al., 2021; Roy et al., 2006).
2.3. Classification of soil properties based on the NIV index
The classification and determination of the NIV index value for the soil properties are given in Table 4. According to the results, it can be seen that EC is classified in the low class using both Gomez and Common methods. The optimal level of pH in the Gomez method is 7.4-8, but in the Common method, it is 6.6–7.3; based on the results, it can be seen that in the Gomez method, most of the samples are in the optimal class (85.43), but in the Common method, all the samples (100) were in the high class (< 7.3). The NIV index for CaCO3 was in the optimal class and the values of it for both Gomez and Common methods were 85.14 and 67.71, respectively, but the border between low and optimal classes in Gomez and Common methods had a big difference. In this case, the calculated values for Gomez and Common methods were 2.86 and 26.29, respectively. The values of the NIV index for the SOM were entirely different for the Gomez and Common methods. According to the obtained results, the NIV index for 57.62% of soil samples of Gomez method was in the optimal class, and for 76.57% of soil samples of the Common method was in a low class (Table 4).
The NIV index for TN using the Gomez and Common methods was classified in low the class. Although the Gomez method evaluated the amount of AP in the optimal class and the Common method evaluated it in a low class. In the Gomez method, the border between the low class (42) and the optimal class (49.71) is very close to each other, but in the Common method, the border between low class (78.29) and optimal class (10.57) is different. Both of the Gomez and Common methods evaluated the amount of AK in the optimal class. In the Gomez method, the border between the optimal class (71.55) and the low class (37.14) is very close to each other, but in the Common method, most of the samples classified the amount of AK in the optimal class (83.71) (Table 4).
The evaluation of the micronutrient showed that the amount of Fe for both Gomez and Common methods is in a low class. The value of this NIV index for Fe by Gomez and Common methods are 93.71 and 100%, respectively. The evaluation of the amount of Mn using the Gomez and Common methods showed that the Mn is classified as optimal (87.14) and low (100). According to the Gomez and Common methods, Zn was placed in the optimal (96.86) and low (68.86) classes, respectively. Also, Cu was in the low (100) class, according to the Gomez and Common methods (Table 4).
Since there is no typical classification record for soil texture characteristics, the Gomez method was used to classify soil texture in this study. According to the results obtained for the Gomez method, it can be seen that clay mineral particles were evaluated in the low class (69.14), sand mineral particles in the high class (65.14), and silt mineral particles in the optimal class (78) (Table 4).
Table 4. Percent sample category of soil properties and NIV by two classification methods.
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Table 4 : HERE
3.3. Evaluation of soil fertility index according to elevation
The results of the NIV index based on elevation changes for Gomez and Common methods are given in Table 5. The evaluation of the NIV index EC as an indicator of soil salinity shows that both Gomez and Common methods at all elevations of 1600–2000, 2400 − 2000, 2400–2800, and < 2800 m were a low class. The percentage of soil samples of the NIV index in different elevations for the Gomez method were 54.41, 72.87, 76.23, and 56, respectively, and for the Common method, were 62.16, 86.82, 96.72, and 92 percent, respectively. According to the obtained results, the percentage of soil samples with low EC class in elevations of 1600 − 200 m and < 2800 m is lower than in medium elevation (2000–2400 and 2800 − 2400 m). Examining the NIV index for pH in different elevations showed that the Gomez method evaluated pH at the optimal level at all elevations and the percentage of samples in the optimal class at elevations of 1600–2000, 2000–2400, 2400–2800, and < 2800 m were 91.89, 83.72, 86.89, and 68%, respectively. Also, the NIV index classified the soil pH by Common in elevations of 2000 − 1600, 2000–2400, and 2400–2800 m in the optimal class, and elevation < 2800 m was classified in the low class. Gomez method evaluated the amount of CaCO3 at all elevations in the optimal class. But in this method, the value of the NIV index for CaCO3 decreased with increasing elevation. According to this method, the highest value of the NIV index for CaCO3 at an elevation of 2400 − 2000 m was 2.13, and the lowest NIV index value for an elevation of < 2800 m was 1.92. Evaluation of the NIV index using the Common method classified CaCO3 at the elevation of 2000 − 1600, 2000–2400, and 2400–2800 m was in the optimal class, and at an elevation of < 2800 m was in a low class. According to the results of the Common method, the highest value of the NIV index was obtained for CaCO3 at an elevation of 1600–2000 m with a value of 1.92. The lowest value of the NIV index for CaCO3 at an elevation of < 2800 m was 1.60. (Table 5, Fig. 2, and Fig. 3).
Examining the NIV index of SOM showed that in the Gomez method, the NIV index value increases with the increase of the elevation. The values of this index at elevations of 1600–2000, 2000–2400, and 2400–2800 m were in the optimal class and at elevation < 2800 m was in the high class. But using the Common method, these values were placed in 1600–2000, 2400 − 2000, and 2400–2800 m in the low class, and in the elevation of < 2800 m was in the high class. This trend was the same for TN, and the response to elevation changes was similar to SOM (Table 5, Fig. 2, and Fig. 3).
The NIV index for studying AP and AK changes with elevation change showed that the changes of these two nutrients using the Common method were closer to reality. As can be seen in Table 5, the value of the NIV index using the Gomez method for AP and AK at an elevation of 200–1600 and < 2800 m is in a low class, and elevations of 2400 − 2000 and 2400–2800 m are in the optimal class. But using the Common method, at all elevations, the amount of NIV for AP is in a low class, and the amount of NIV for AK is in the high class (Table 5, Fig. 2, and Fig. 3).
The changes in the NIV index using the Common method for micronutrients were also closer to reality. Evaluation of the NIV index for Fe and Cu using the Gomez and Common methods was in low class at all elevations. The NIV index for Mn was in the optimal class using the Gomez method at all elevations and in the low class using the Common method. The NIV index was in optimal class using the Gomez method in all elevations, in optimal class using the Common method at 1600–2000 m, and in low class in other elevations (Table 5, Fig. 2, and Fig. 3).
Table 5 : HERE
Figure 2 :HERE
Figure 3:HERE