Soil Change Varabilties of Shrimp Cultivation
Keywords:
characteristics; pond; soil
Abstract
Variability of pond soil variables has an important role in many bio-environmental systems including
the pond environment. This study aims to determine the variables of pond land. Determination of
measurement points and soil sampling is done randomly at 67 sample points. A total of 11 soil
chemical characteristics were measured in the field and analyzed in the laboratory. The results
showed that in general, the type of soil in the pond area was alluvial soil with non-sulfuric acid. The
average negative potential for pond soil redox is -102 mV. The C-organic content of pond soil varies
from 0,51 to 2,72% with an average of 1.60%, the PO4 content in pond soil is classified as low,
between 3,27 and 53,01 ppm with an average of 20,75 ppm, meanwhile, the content of toxic elements
such as Fe and Al in the ponds is classified as low, with an average of 529,6 and 205,0 ppm
References
Ahern, C.R. and Blunden. B. (1998). Designing a soil sampling and analysis program. In:
Ahern, C.R., Blunden, B. and Stone, Y. (eds.), Acid Sulfate Soils Laboratory
MethodsGuidelines. Acid Sulfate Soil Management Advisory Committee,
Wollongbar, NSW. pp. 2.1-2.6.
Ahern, C.R. and Rayment, G.E. (1998). Codes for acid sulfate soils analytical methods. In:
Ahern, C.R., Blunden, B., and Stone, Y. (eds.), Acid Sulfate Soils Laboratory
Methods Guidelines. Acid Sulfate Soil Management Advisory Committee,
Wollongbar, NSW. pp. 3.1-3.5
Anuar, A.R., Goh, K.J., Heoh, T.B. and Ahmed, O.H. ( 2008). Spatial Variability of Soil
Inorganic N in a Mature Oil Palm Plantation in Sabah, Malaysia. American Journal
of Applied Sciences, 5(9): 1239-1246.
Akbarzadeh, A. & Taghizadeh-Mehrjardi, R. (2010). Spatial Distribution of Some Soil
Properties, Using Geostatistical Methods in Khezrabad Region (Yazd) of Iran.
ProEnvironment, 3: 100–109.
Darmanto dan Soepraptini. (2009). Robust Kriging untuk Interpolasi Spasial pada Data
Spasial Berpencilan (Outlier). Laporan Penelitian. Departemen Matematika FMIPA
Universitas Brawijaya. Tidak diterbitkan.
Dong, X.W., Zhang, X.K., Bao, X.L. & Wang, J.K. (2009). Spatial distribution of soil
nutrients after the establishment of sand-fixing shrubs on sand dune. Plant Soil
Environment, 55(7): 288–294
Ersahin, S. (2003). Comparing ordinary kriging and cokriging to estimate infiltration rate.
Soil Science, 67:1848-1855.
Essington, M.E. (2004). Soil and Water Chemistry: An Integrative Approach. CRC Press,
Boca Raton. 534 pp.
Hazelton, P. and Murphy, B. (2009). Interpreting Soil Test Results: What do All the Numbers
Mean? CSIRO Publishing, Collingwood. 152 pp.
Huang, X., Skidmore, E.L. & Tibke, G. (2001). Spatial variability of soil properties along a
transect of CRP and continuously cropped land. In: Stott, D.E., Mohtar, R.E. and
Steinhardt, G.C. (eds.), Sustaining the Global Farm. Selected papers from 10th
International Soil Conservation Organization Meeting held May 24-29, 1999 at
Purdue University and the USDA-ARS National Soil Erosion Research Laboratory.
pp. 641-647.
Lin, Y.P., Chang, T.K., & Teng, T.P. (2001). Characterization of soil lead by comparing
sequential Gaussian simulation, simulated annealing simulation and kriging methods.
Environmental Geology, 41: 189-199.
Madyaka, M. (2008). Spatial Modelling and Prediction of Soil Salinization Using SaltMod in
a GIS Environment. Master of Science Thesis. International Institute for GeoInformation Science and Earth Observation, Enschede, the Netherlands. 128 pp.
PanGonzalez, A., Vieira, S.R. & Taboada, C.M.T. (2000). The effect of cultivation on the
spatial variability of selected properties of an umbric horizon. Geoderma, 97(3-4):
273-292.
Robinson, T.P. and Metternicht, G. 2006. Testing the performance of spatial interpolation
techniques for mapping soil properties. Computer and Electronics in Agriculture, 50:
97-108.
Zuo, X.A., Zhao, H.L., Zhao, X.Y., Zhang, T.H., Guo, Y.R., et al. (2008). Spatial pattern and
heterogeneity of soil properties in sand dunes under grazing and restoration in
Horqin Sandy Land, Northern China. Soil and Tillage Research, 99: 202–212.
Zare-Mehrjardi, M., Taghizadeh-Mehrjardi, R. & Akbarzadeh, A. (2010). Evaluation of
geostatistical techniques for mapping spatial distribution of soil pH, salinity and
plant cover affected by environmental factors in Southern Iran. Notulae Scientia
Biologicae, 2(4): 92-103.
Ahern, C.R., Blunden, B. and Stone, Y. (eds.), Acid Sulfate Soils Laboratory
MethodsGuidelines. Acid Sulfate Soil Management Advisory Committee,
Wollongbar, NSW. pp. 2.1-2.6.
Ahern, C.R. and Rayment, G.E. (1998). Codes for acid sulfate soils analytical methods. In:
Ahern, C.R., Blunden, B., and Stone, Y. (eds.), Acid Sulfate Soils Laboratory
Methods Guidelines. Acid Sulfate Soil Management Advisory Committee,
Wollongbar, NSW. pp. 3.1-3.5
Anuar, A.R., Goh, K.J., Heoh, T.B. and Ahmed, O.H. ( 2008). Spatial Variability of Soil
Inorganic N in a Mature Oil Palm Plantation in Sabah, Malaysia. American Journal
of Applied Sciences, 5(9): 1239-1246.
Akbarzadeh, A. & Taghizadeh-Mehrjardi, R. (2010). Spatial Distribution of Some Soil
Properties, Using Geostatistical Methods in Khezrabad Region (Yazd) of Iran.
ProEnvironment, 3: 100–109.
Darmanto dan Soepraptini. (2009). Robust Kriging untuk Interpolasi Spasial pada Data
Spasial Berpencilan (Outlier). Laporan Penelitian. Departemen Matematika FMIPA
Universitas Brawijaya. Tidak diterbitkan.
Dong, X.W., Zhang, X.K., Bao, X.L. & Wang, J.K. (2009). Spatial distribution of soil
nutrients after the establishment of sand-fixing shrubs on sand dune. Plant Soil
Environment, 55(7): 288–294
Ersahin, S. (2003). Comparing ordinary kriging and cokriging to estimate infiltration rate.
Soil Science, 67:1848-1855.
Essington, M.E. (2004). Soil and Water Chemistry: An Integrative Approach. CRC Press,
Boca Raton. 534 pp.
Hazelton, P. and Murphy, B. (2009). Interpreting Soil Test Results: What do All the Numbers
Mean? CSIRO Publishing, Collingwood. 152 pp.
Huang, X., Skidmore, E.L. & Tibke, G. (2001). Spatial variability of soil properties along a
transect of CRP and continuously cropped land. In: Stott, D.E., Mohtar, R.E. and
Steinhardt, G.C. (eds.), Sustaining the Global Farm. Selected papers from 10th
International Soil Conservation Organization Meeting held May 24-29, 1999 at
Purdue University and the USDA-ARS National Soil Erosion Research Laboratory.
pp. 641-647.
Lin, Y.P., Chang, T.K., & Teng, T.P. (2001). Characterization of soil lead by comparing
sequential Gaussian simulation, simulated annealing simulation and kriging methods.
Environmental Geology, 41: 189-199.
Madyaka, M. (2008). Spatial Modelling and Prediction of Soil Salinization Using SaltMod in
a GIS Environment. Master of Science Thesis. International Institute for GeoInformation Science and Earth Observation, Enschede, the Netherlands. 128 pp.
PanGonzalez, A., Vieira, S.R. & Taboada, C.M.T. (2000). The effect of cultivation on the
spatial variability of selected properties of an umbric horizon. Geoderma, 97(3-4):
273-292.
Robinson, T.P. and Metternicht, G. 2006. Testing the performance of spatial interpolation
techniques for mapping soil properties. Computer and Electronics in Agriculture, 50:
97-108.
Zuo, X.A., Zhao, H.L., Zhao, X.Y., Zhang, T.H., Guo, Y.R., et al. (2008). Spatial pattern and
heterogeneity of soil properties in sand dunes under grazing and restoration in
Horqin Sandy Land, Northern China. Soil and Tillage Research, 99: 202–212.
Zare-Mehrjardi, M., Taghizadeh-Mehrjardi, R. & Akbarzadeh, A. (2010). Evaluation of
geostatistical techniques for mapping spatial distribution of soil pH, salinity and
plant cover affected by environmental factors in Southern Iran. Notulae Scientia
Biologicae, 2(4): 92-103.
Published
2020-09-25
How to Cite
Anugriati, A., & Elviana, S. (2020). Soil Change Varabilties of Shrimp Cultivation. AGRICOLA, 10(2), 66-73. https://doi.org/10.35724/ag.v10i2.3216
Section
Artikel
.png)
