3. Background
Sustainable Land Management(SLM)-
Land management issues
-for sustainable intensification of food & fiber
systems
- for rehabilitation of degraded crop, pasture,
forestlands (FRP, 2005)
-necessary to meet requirements of a growing
population
- pertain to most significant land issues –
sustaining soil productivity & averting land
degradation (FRP, 2006)
3
4. Solution for sustainability - soil quality concept offering
itself as a tool for studying soil responses to
different management practices
(Schjønning et al., 2004)
Soil quality - how well soil does what we want it to do
- considered as a cognitive concept - any
evaluation of some property / function in soil
necessarily involves values & priorities
Soil Quality Indicators(SQIs)
4
5. Link between soil quality & sustainability - very important
- soil quality not remain an abstract concept
- but to be strived for by management
(Bouma et al., 1998)
Schjønning et al. (2004) - explained “soil quality
indicators in sustainability system” for threshold
level deciding management threshold step-by-step
5
6. Solution for sustainability - soil quality concept offering
itself as a tool for studying soil responses to
different management practices
(Schjønning et al., 2004)
Soil quality - s how well soil does what we want it to do
- considered as a cognitive concept - any
evaluation of some property / function in
soil necessarily involves values &
priorities
6
7. SLM - cannot be addressed without evaluating soil
attributes (i.e. indicators)
- but putting the focus on the effects of
management may establish a more relevant
foundation for soil quality concept
7
8. Objective
Major objective- To assess soil responses due to
different land management practices
Specific objectives-
• To identify the soil physical & chemical properties of soil
• To inform the best management practices for sustainable
production in Shwe Taung
• To develop the soil quality indicator for the sustainability in
these land management practiced by Shwe Taung
8
9. Soil Analyses
July-Oct , 2011
Materials & Methods
Study Site – Shwe Taung, Mandalay Region, Myanmar
(around 21° 16’ N 96° E) , 337 ft asl
9
Soil Sampling
13th July, 2011
Soil Survey
15th May 2011
Design – RCB with 4 replications
10. sampling from 0-
15 cm and 15-30
cm depths
Packing sample samples from 0-15 cm
and 15-30 cm soil depths
Systematically
preparation
Disturbed
samples
Randomed
disturbed sampling
samples from 0-15
cm and 15-30 cm soil
depths
Undisturbed
soil samples
Undisturbed soil samples sampling
Disturbed soil samples sampling
10
11. Soil Properties Analysis
Sr.no Properties Method
1 Soil Bulk density (kgm-3) Core Method
2 Particle density Pycnometer Method
3 Total porosity (%) Baruah and Barthakur, 1999
4 Soil Organic Matter Walkley and Black Method
5 Soil Aggregate Stability White,1993
6 Soil pH (H2O 1:5) Baruah and Barthakur, 1999
7 Electrical Conductivity (EC)(dS/m) Van rust et. Al (2006
8 Soil Total Nitrogen (STN%) Kjeldahl method
9 Total CaCO3 (%) van rust et. Al (2006)
10 C:N Bashour and Sayegh, 2007
11 Soil Texture Pipette Method
12 Saturated Hydraulic Conductivity(cm day-1) Darcy Law apparatus
11
12. Table.1 Different Land Use and Soil Management Practices in Shwe-Daung
Land Use and Soil
Management Practices
(L)
Land Use Soil Management Practices
L1 Pasture Grassland for Cattle
L2 Forest Nature
L3 Cultivated land
Irrigated Cotton, 20 years practiced
(RF)
L4 Cultivated land Rainfed Cotton, 20 year practiced (RF)
L5 Cultivated land Irrigated Cotton-Rice Rotation (FF)
L6 Cultivated land Rice-Legume Rotation (RF)
L7 Cultivated land Irrigated Cotton-Rice Rotation(RF)
L8 Cultivated land Rainfed Cotton(FF) 12
13. Table.2 Soil quality indicators with critical level for agriculture
Soil Quality Indicators Critical level for agriculture Reference
Soil bulk density (kg/m3)
Loams and clay loams (1100-1500
kg/m3) (1100-1300 kg/m3), sandy
(1400-1800 kg/m3) (1300-1700 kg/m3),
organic soils (500 kg/m3)(400 kg/m3)
Baruah and Barthakur (1999)
Bashour and Sayegh (2007)
Soil particle density (kg/m3) The standard value – 2.65 kg/m3
Baruah and Barthakur (1999) Hillel
(1998)
Soil porosity (%) 30-60 %, 30-70 %
Baruah and Barthakur (1999)
Foth (1990)
Soil organic matter (%)
0.344 % (very sandy arid soils) , 86%
(peats and mucks ), <2% for tropical
soil
Baruah and Barthakur (1999),
Barrow (1991)
Soil Aggregate Stability
Increase in > 2 mm size class for
tropical
Castro Filho et al., 2002
Soil pH (H2O, 1:2)
Soil pH 5.5-6.5, Plants grow best in the
range of 5.0 to 8.5
Pansu and Gautheyrou (2006),
Wheet (2004)
Soil electrical conductivity
(dS/m)
Yield of most crops restricted between 4
and 8 dS/m. Sensitive plants (e.g. beans,
carrots) may be affected between 2 and
4, while some tolerant crops (e.g.
barley, cotton) may yield satisfactorily
between 8 and 16 dS/cm
Marshall and Holmes, 1979
13
Soil Quality Indicators Critical level for agriculture Reference
Soil organic carbon (%)
1.10-1.45 % depending on the soils
and type of vegetation
Pansu and Gautheyrou (2006)
Soil total nitrogen (%)
Its amount on cultivated soil is 0.03-
0.04 % by weight.
Mengel and Kirkby (1987),
Tisdale et al. (1995)
Corg/Nt The average value – 10-15 Baruah and Barthakur (1999)
Total CaCO3 (%)
Total CaCO3 was above 20 % , active
CaCO3 was more than 10 % which
affect soil physical and chemical
properties.
Bashour andSayegh (2007)
Soil texture
Fine textured soil (loams and clay
loams)
Baruah and Barthakur (1999)
Saturated hydraulic
conductivity (cm/day)
The infiltration capacities of many
tropical soils may change from over
2400 cm/day to less than 240
cm/day. 48 cm/day showed soil
compact condition.
Greenland and Lal (1981)
Trouse and Baver (1965)
22. Figure.8 Effect of Land Use and Soil Management Practices on Soil Electrical
Conductivity (EC)
22
0
1
2
3
4
5
6
L1 L2 L3 L4 L5 L6 L7 L8
SoilElectricalConductivity(dS/m)
Land Use and Soil Management Practices
0-15 cm cv% 147.76 Pr≥F **
LSD(0.05) 2.29
15-30 cm cv% 91.2 Pr≥F **
LSD(0.05) 0.99
0-30 cm cv% 134.25 Pr≥F **
LSD(0.05) 1.77
L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated
Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF),
L8 - Rainfed Cotton (SFF)
23. Figure.10 Effect of Land Use and Soil Management Practices on Soil Total
Nitrogen (STN)
23
0
0.2
0.4
0.6
0.8
1
1.2
L1 L2 L3 L4 L5 L6 L7 L8
SoilTotalNitrogen(%)
Land Use and Soil Management Practices
0-15 cm cv% 18.63 Pr≥F **
LSD(0.05) 0.22
15-30 cm cv% 24.2 Pr≥F **
LSD(0.05) 0.28
0-30 cm cv% 20.94 Pr≥F **
LSD(0.05) 0.25
L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated
Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF),
L8 - Rainfed Cotton (SFF)
24. Figure.11 Effect of Land Use and Soil Management Practices on Corg/Nt
24 24
0
0.2
0.4
0.6
0.8
1
1.2
1.4
L1 L2 L3 L4 L5 L6 L7 L8
Corg/Nt
Land Use and Soil Management Practices
0-15 cm cv% 33.94 Pr≥F **
LSD(0.05) 0.44
15-30 cm cv% 43.04 Pr≥F **
LSD(0.05) 0.44
0-30 cm cv% 41.28 Pr≥F **
LSD(0.05) 0.48
L1 - Pasture, L2 - Natural Forest, L3 - Irrigated Cotton, L4 - Rainfed Cotton, L5 - Irrigated
Cotton-Rice Rotation, L6 - Rice-Legume Rotation, L7- Irrigated Cotton-Rice Rotation (SFF),
L8 - Rainfed Cotton (SFF)
25. Table.3 Effect of Land Use and Soil Management Practices on Soil Hydraulic
Conductivity (HC)
Land Use and Soil
Management Practice
0-15cm 15-30cm 0-30cm
HC
(m/
day)
HC
(min)
HC
(max)
HC
(m/
day)
HC
(min)
HC
(max)
HC
(m/
day)
HC
(min)
HC
(max)
L1 .011 .006 .020 .011 .000 .033 .011 .003 .026
L2 .027 .020 .043 .016 .013 .031 .022 .016 .037
L3 .006 .000 .015 .004 .002 .018 .005 .000 .017
L4 .104 .083 .190 .037 .024 .075 .071 .053 .132
L5 .083 .036 .144 .012 .009 .031 .048 .023 .088
L6 .005 .002 .018 .005 .003 .017 .005 .002 .017
L7 .009 .004 .028 .006 .000 .031 .008 .002 .030
L8 .026 .017 .036 .005 .000 .012 .016 .008 .024
25 25
26. L4 (Rainfed Cotton) - an appropriate LU & SMP for
sustainability of agricultural soils
lowest soil bulk density (BD kg m-3)
lowest soil particle density (PD kg m-3)
highest soil porosity (SP %)
fastest rate of saturated hydraulic conductivity (HC cm day-1)
greatest total CaCO3 content (%)
best soil aggregate stability (SAS)
Conclusion-1
This slide showed Undisturbed soil samples sampling and Disturbed soil samples sampling.
Table. 1 showed soil quality indicators with critical level for agriculture.
This slide showed data analysis. (SPSS–version 17.0) was used for data analysis. One way ANOVA were constructed for two different depths as RCB with four replications and all means were compared using LSD at 5% level. For the selection of soil properties as soil indicator for MDS, correlation analysis and factor analysis was conducted again.
Let me continue Results and Discussion
Figure 1 showed effect of land use and soil management practices on soil bulk density. Soil bulk density was significantly different at 1% level in 0-15 cm, 15-30cm and 0-30 cm soil depths. Slide show. In figure, L1 showed the animals’ trampling effect as the findings of Tilahun. The lowest BD values were observed at both layers of L4 and the greatest BD values were observed at both layers of L6. So the lowest BD values at all layers of L4 showed it was the suitable for LU and SMP of SD region. The deeper soil depth , the greater BD was observed in all land use and soil management practices except L7.
Figure 3 is the effect of land use and soil management practices on soil porosity. Soil porosity for all layers was significantly different at 1% level. The greater SP, the lowest BD was observed in all land use and soil management practices. Slide show. The greatest SP of L4 showed that it was the suitable LU and SMP for SD region.
Figure 4 showed effect of land use and soil management practices on soil organic matter. Soil organic matter for all layers was significantly different at 1% level. The greatest soil organic matter was observed at both layers of L2. Slide show. SOM content of L4 was not significantly lower than other cultivated lands. The lower SOM the deeper soil depth was observed in all land use and soil management practices except L4 and L7.
Figure 5 is effect of land use and soil management practices on soil aggregate stability. SAS was significantly different at 1% level in all soil layers . In figure, the greatest SAS values at all layers of L4 showed that L4 was suitable for SD region. Similarly Slide show.
Figure 6 showed effect of land use and soil management practices on soil pH. Soil pH for all layers was also significantly different at 1% level. In figure, soil pH of all LU and SMP were included in the range of 6.1-8.5. By the literature, plants can grow best in this range. The deeper soil depth, the greater soil pH was observed in all LU and SMP. Slide show. Similar result also observed in this study.
Figure 7 showed effect of land use and soil management practices on total CaCO3. Total CaCO3 was also significantly different at 1% level in all layers. In the figure, greater total CaCO3 values were observed at all layers of L4 and L7. however L7 showed the greater total CaCO3 value at the upper layer than that of lower layer due to the improper management practices. This parameter also showed that L4 was suitable for SD region. Slide show. Similar with my study.
Figure 8 is the effect of land use and soil management practices on soil electrical conductivity. EC was also significantly different at 1% level in all layers. EC value at the upper layer of L4 was greater than 4 dS/m. However the average EC value of L4 was lower than 4 dS/m. L4 was cotton growing soil, thus these values were not problem for its cultivation. In this study, EC values for other land use and soil management practices were lower than 1.8 dS/m. Similarly slide show.
Figure 10 is the effect of land use and soil management practices on soil total nitrogen. Soil total nitrogen for all layers was also significantly different at 1% level. Slide show. However L2 was different former presentation due to its great BD and sand content. In the figure, the greatest soil total nitrogen values were observed at all layers of L3. Among the cultivated lands, L4 and L7 were showed the second greatest STN values.
Figure 11 showed effect of land use and soil management practices on Corg/Nt. Corg/Nt was significantly different at 1% level in all layers. In figure, the greater values were observed at both layers of L2 and the lower value was observed at 2nd layer of L8. Similarly John reported – Slide show
Table 2 showed effect of land use and soil management practices on HC. The fastest infiltration rates at all layers of L4 showed that it was suitable for SD region. Similar observation indicated by Osuji who –slide show
Table 4showed correlation between all parameters at 0-15 cm soil depth.
Table 5 showed correlation between all parameters at 15-30 cm soil depth
Table 6 showed correlation between all parameters at 0-30 cm soil depth.
This slide shows factor analysis for 0-15 cm soil depth. Factor 1 showed 23% of variance by factor rotation. It was showed soil chemical properties including the total CaCO3, SAS, EC. 22 % of variance was observed at factor 2. There was soil pores’ nature including SP, BD and HC. Variance % of factor 1 and factor 2 was not significantly different. To select the appropriate, easiest and cheapest indicator, soil porosity can be selected to evaluate the sustainability of land use and soil management practices on Shwe-Daung soils.
This slide shows factor analysis for 15-30 cm soil depth. Factor 1 showed 30% of variance by factor rotation. It was showed soil chemical properties including the total CaCO3, SAS, EC. 19 % of variance was observed at factor 2. There was soil organic matter status including SOM, SOC and C/N. Variance % of factor 1 and factor 2 was significantly different. Therefore, to select the appropriate indicator, total CaCO3 should be selected to evaluate the sustainability of land use and soil management practices on Shwe-Daung soils.
This slide shows factor analysis for 0-30 cm soil depth. Factor 1 showed 24% of variance by factor rotation. It was showed soil chemical properties including the total CaCO3, SAS, EC. 19 % of variance was observed at factor 2. There was soil pores’ nature including SP, Soil texture(silt %) and HC. Variance % of factor 1 and factor 2 was significantly different. Therefore, to select the proper indicator, total CaCO3 should be selected to evaluate the sustainability of land use and soil management practices on Shwe-Daung soils.