Variabilitas Peubah Tanah Tambak Budidaya Udang
Kata Kunci:
Karakteristik; tambak; tanah
Abstrak
Variabilitas peubah tanah tambak memiliki peran penting dalam banyak sistem bio-lingkungan
termasuk lingkungan tambak. Penelitian ini bertujuan untuk mengetahui peubah tanah tambak.
Penentuan titik pengukuran dan pengambilan contoh tanah dilakukan secara acak sederhana pada 67
titik sampel. Sebanyak 11 karakteristik kimia tanah diukur di lapangan dan dianalisis di laboratorium.
Hasil penelitian menunjukkan bahwa secara umum jenis tanah di kawasan tambak merupakan tanah
aluvial nonsulfat masam. Rata-rata potensial redoks tanah tambak bernilai negatif yaitu -102 mV.
Kandungan C-organik tanah tambak bervariasi dari 0,51 sampai 2,72% dengan rata-rata 1,60%,
kandungan PO4 dalam tanah tambak tergolong rendah yaitu antara 3,27 dan 53,01 ppm dengan ratarata 20,75 ppm, sedangkan kandungan unsur toksin seperti Fe dan Al dalam tambak tergolong rendah
rata-rata 529,6 dan 205,0 ppm
Referensi
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.
Diterbitkan
2020-09-25
##submission.howToCite##
Anugriati, A., & Elviana, S. (2020). Variabilitas Peubah Tanah Tambak Budidaya Udang. AGRICOLA, 10(2), 66-73. https://doi.org/10.35724/ag.v10i2.3216
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