Spatial variability analysis of soil quality parameters in a watershed of Sub-Himalayan Landscape - A case study
Abstract
Soil organic carbon (SOC) is a key component in
maintaining soil quality. Mapping the local scale variations in the
distribution and stratification of SOC and other soil quality parameters across
different layers has always been a challenging task, in the current global
scenario of changing climates. The study was aimed to investigate the spatial
distribution of SOC and other soil quality parameters including SOC
stratification ratio and CN ratio in a small hilly watershed (̴ 10 km2)
located in the mid Himalayan region of Himachal Pradesh, India. Soil samples
were collected in November 2015, from 75 points at two depths (0-15 cm and
15-30cm), along with their geographical coordinates using a Global Positioning
System (GPS). The results revealed that SOC concentration (g kg-1)
decreased with increasing soil depth, throughout the study area and differed
significantly (P<0.01) between the
two depths in vertical soil profile. The SOC stratification ratio values were
greater than 1.2 in major portion of watershed indicating a spatial improvement
in soil quality. C: N ratio, another important soil quality attribute values
were found to be <12:1, indicating high degree of soil quality and increased
rate of organic matter mineralization.
The spatial distribution maps of SOC content (g kg-1), SOC
stratification ratio as well as CN ratio of study area were generated using
Inverse Distance Weighted (IDW) interpolation approach. Additionally soil
quality index (SQI) was also computed using various soil quality parameters
based on Analytical Hierarchy Process (AHP) and their spatial distribution was
analyzed in the watershed. Nearly 76% of the study area had SQI values in the
range of 60-75, whereas 22.16% of the area had SQI<60 and 2.59% had
SQI>75. The overall results indicated that a higher degree of soil quality
existed at the higher elevation regions of the watershed. Majority of the soils
in the watershed accounted for only 60% of the maximum possible value of SQI,
which necessitates the adoption of better management practices for improving
the soil quality.
Keywords
References
- Andrews, S.S., Karlen, D.L., Mitchell, J.P., 2002. A comparison of soil quality indexing methods for vegetable production systems in northern California. Agriculture Ecosystems & Environment 90(1): 25–45.
- Aparicio, V., Costa, J.L. 2007. Soil quality indicators under continuous cropping systems in the Argentinean pampas. Soil and Tillage Research 96(1-2): 155–165.
- Arshad, M.A., Martin, S., 2002. Identifying critical limits for soil quality indicators in agro-ecosystems. Agriculture Ecosystems & Environment 88(2): 153–160.
- Bera, T., Collins, H.P., Alva, A.K., Purakayastha, T.J., Patra, A.K., 2016. Biochar and manure effluent effects on soil biochemical properties under corn production. Applied Soil Ecology 107:360–367.
- Bernoux, M., Carvalho, M.D.S., Volkoff, B., Cerri, C.C., 2002. Brazil’s soil carbon stocks. Soil Science Society of America Journal 66(3): 888-896.
- Bhatti, J.S., Apps, M.J., Jiang, H., 2002. Influence of nutrients, disturbances and site conditions on carbon stocks along a boreal forest transect in central Canada. Plant and Soil 242(1): 1-14.
- Bouyoucos, G.J., 1962. Hydrometer method improved for making particle size analysis of soils. Agronomy Journal 54(5): 464-465.
- Burrough, P.A., 1989. Fuzzy mathematical methods for soil survey and land evaluation. European Journal of Soil Science 40(3): 477–492.
Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Authors
Justin George Kalambukattu
*
This is me
India
Suresh Kumar
This is me
India
Yogesh S. Ghotekar
This is me
India
Publication Date
July 1, 2018
Submission Date
January 29, 2018
Acceptance Date
May 18, 2018
Published in Issue
Year 2018 Volume: 7 Number: 3
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