Assessing soil quality under different land-use systems in a watershed of semi-arid tropics in India using GIS
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Title |
Assessing soil quality under different land-use systems in a watershed of semi-arid tropics in India using GIS
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Creator |
Mandal, U.K., Kausalya, R., Sharma, K.L., Satyam, B., Venkanna, K., Bhanu, M.U., Mandal, M., Masane, R.N., Narsimlu, B., Rao, K.V., Srinivasarao, Ch., Korwar, G.R., and Venkateswarlu, B.
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Subject |
GIS, Soil Quality, watershed
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Description |
Not Available
Subsistence agriculture under rainfed conditions and declining or stagnant yields on irrigated farmland has raised concerns about resource management and long-term sustainability in the subtropical, semiarid region of India. Soil quality assessment has been recognized as an important step toward understanding the effects of land management practices within an agricultural watershed. Th is study addressed the spatial variability of soil properties and their quality at the watershed level using geostatistical methods. Soil samples from the 0- to 20-cm depth were collected from 118 locations on a 100- by 100-m grid across an 88-ha watershed at Sakaliseripalli village in the Nalgonda District in Andhra Pradesh State, India. Geostatistical analysis showed that most of the soil parameters were moderately spatially dependent. An assessment framework, including a minimum data set, linear scoring technique, and additive indices, was used to evaluate the soil quality index (SQI). Principal component analysis identifi ed cation exchange capacity, exchangeable Na percentage, DTPA-extractable Zn, available P, available water, and dehydrogenase activity as the most important indicators for evaluating soil quality. A kriged map of SQI was prepared for the watershed. Th e SQI was higher in irrigated systems (3.01) than under rainfed conditions (2.53), and it was 2.61 and 2.53 in fallow and permanent fallow fi elds, respectively. In this study, potential soil loss calculated using the Universal Soil Loss Equation and crop yield were identifi ed as the quantifi able management goals; the results indicated that good soils having higher soil quality indices were also productive and less erosion prone. Not Available |
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Date |
2018-11-13T05:14:08Z
2018-11-13T05:14:08Z 2011-04-01 |
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Type |
Journal
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Identifier |
14
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/10628 |
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Language |
English
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Relation |
Not Available;
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Publisher |
Soil Science Society of America
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