Eurasian Journal of Soil Science

Volume 8, Issue 2, Apr 2019, Pages 131 - 143
DOI: 10.18393/ejss.514319
Stable URL: http://ejss.fess.org/10.18393/ejss.514319
Copyright © 2019 The authors and Federation of Eurasian Soil Science Societies



Assessing aggregate stability of soils under various land use/land cover in a watershed of Mid-Himalayan Landscape

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Singh,A., Kumar,S., Kalambukattu,J., 2019. Assessing aggregate stability of soils under various land use/land cover in a watershed of Mid-Himalayan Landscape. Eurasian J Soil Sci 8(2):131 - 143. DOI : 10.18393/ejss.514319
Singh,A.Kumar,S.,& Kalambukattu,J. (2019). Assessing aggregate stability of soils under various land use/land cover in a watershed of Mid-Himalayan Landscape Eurasian Journal of Soil Science, 8(2):131 - 143. DOI : 10.18393/ejss.514319
Singh,A.Kumar,S., and ,Kalambukattu,J. "Assessing aggregate stability of soils under various land use/land cover in a watershed of Mid-Himalayan Landscape" Eurasian Journal of Soil Science, 8.2 (2019):131 - 143. DOI : 10.18393/ejss.514319
Singh,A.Kumar,S., and ,Kalambukattu,J. "Assessing aggregate stability of soils under various land use/land cover in a watershed of Mid-Himalayan Landscape" Eurasian Journal of Soil Science,8(Apr 2019):131 - 143 DOI : 10.18393/ejss.514319
A,Singh.S,Kumar.J,Kalambukattu "Assessing aggregate stability of soils under various land use/land cover in a watershed of Mid-Himalayan Landscape" Eurasian J. Soil Sci, vol.8, no.2, pp.131 - 143 (Apr 2019), DOI : 10.18393/ejss.514319
Singh,Abhisek Kumar ;Kumar,Suresh ;Kalambukattu,Justin George Assessing aggregate stability of soils under various land use/land cover in a watershed of Mid-Himalayan Landscape. Eurasian Journal of Soil Science, (2019),8.2:131 - 143. DOI : 10.18393/ejss.514319

How to cite

Singh, A., Kumar, S., Kalambukattu, J., 2019. Assessing aggregate stability of soils under various land use/land cover in a watershed of Mid-Himalayan Landscape. Eurasian J. Soil Sci. 8(2): 131 - 143. DOI : 10.18393/ejss.514319

Author information

Abhisek Kumar Singh , Agriculture and Soils Department, Indian Institute of Remote Sensing, ISRO, Uttarakhand, India
Suresh Kumar , Agriculture and Soils Department, Indian Institute of Remote Sensing, ISRO, Uttarakhand, India
Justin George Kalambukattu , Agriculture and Soils Department, Indian Institute of Remote Sensing, ISRO, Uttarakhand, India Uttarakhand, India

Publication information

Article first published online : 18 Mar 2019
Manuscript Accepted : 12 Mar 2019
Manuscript Received: 29 May 2018
DOI: 10.18393/ejss.514319
Stable URL: http://ejss.fesss.org/10.18393/ejss.514319

Abstract

Soil aggregate stability is considered as an important indicator of soil quality in the landscapes witnessing land degradation due to soil erosion by water. An increase in anthropogenic activities over the period of time has accelerated soil erosion that necessitated need to assess soil aggregate stability in various land use/land cover in the hilly and mountainous landscape. The study investigated the soil aggregate stability of surface soils in different land use/ land cover classes, hillslope unites as well as in respect to terrain parameters in the watershed. The watershed located in mid- Himalayan region of Tehri Garhwal district, Uttarakhand, India covering an area of 196 ha. The elevation of the watershed ranges from 1200 m to 1927 m. CartoDEM was used to derive terrain parameters i.e., aspect, slope and terrain indices like Terrain Wetness Index (TWI) and Stream Power Index (SPI) of the watershed. Among the various land use /land cover classes, aggregate stability in crop land was found to be in the range of 0.16 (lower hillslope) to 0.28 (mid hillslope), in forest ranged from 0.18 (mid hillslope) to 0.28 (upper hillslope) and in dense scrub ranged from 0.16 (middle slope) to 0.32 (upper/lower hillslope). The aggregate stability was further analyzed in relation with various soil (carbon, nitrogen, sand, silt, clay and pH) and terrain (slope, elevation, TWI and SPI) variables. Among these variables soil carbon, nitrogen, elevation, TWI and SPI were found to have moderate to high degree of correlation with soil aggregate stability. Prediction model developed by using the various significant soil and terrain parameters were found to be more effective (r2 = 0.50) than the models developed using only soil parameters (r2= 0.36) or only terrain parameters (r2= 0.37).

Keywords

Land Use/ land cover, Mid-Himalaya, soil aggregate stability, terrain parameters.

Corresponding author

References

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Barthès, B., Azontonde, A., Boli, B.Z., Prat, C., Roose, E., 2000. Field‐scale run‐off and erosion in relation to topsoil aggregate stability in three tropical regions (Benin, Cameroon, Mexico). European Journal of Soil Science 51(3): 485-495.

Behrens, T., Zhu, A.X., Schmidt, K., Scholten, T., 2010. Multi-scale digital terrain analysis and feature selection for digital soil mapping. Geoderma 155(3-4): 175-185.

Berhe, A.A., Harte, J., Harden, J.W., Torn, M.S., 2007. The significance of the erosion-induced terrestrial carbon sink. BioScience 57(4): 337-346.

Beven, K.J., Kirkby, M.J., 1993. A physically-based, variable contributed area model of basin hydrology. Hydrological Science Bulletin 24(1): 43–69.

Bricchi, E., Formia, F., Espósito, G., Riberi, L., Aquino, H., 2004. The effect of topography, tillage and stubble grazing on soil structure and organic carbon levels. Spanish Journal of Agricultural Research 2(3): 409-418.

Bronick, C.J., Lal, R., 2005. Manuring and rotation effects on soil organic carbon concentration for different aggregate size fractions on two soils in northeastern Ohio, USA. Soil and Tillage Research 81(2): 239-252.

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Cantón, Y., Solé-Benet, A., Asensio, C., Chamizo, S., Puigdefábregas, J., 2009. Aggregate stability in range sandy loam soils relationships with runoff and erosion. Catena 77(3): 192-199.

Carter, M.R., 1992. Influence of reduced tillage systems on organic matter, microbial biomass, macro-aggregate distribution and structural stability of the surface soil in a humid climate. Soil and Tillage Research 23(4): 361-372.

Case, B.S., Meng, F.R., Arp, P.A., 2005. Digital elevation modelling of soil type and drainage within small forested catchments. Canadian Journal of Soil Science 85(1): 127-137.

Cerdá, A., 1996. Soil aggregate stability in three Mediterranean environments. Soil Technology 9(3): 133-140.

Das, S., Patel, P.P., Sengupt, S., 2016. Evaluation of different digital elevation models for analyzing drainage morphometric parameters in a mountainous terrain: a case study of the Supin–Upper Tons Basin, Indian Himalayas. SpringerPlus 5: 1544.

Davidson, E.A., Ackerman, I.L., 1993. Changes in soil carbon inventories following cultivation of previously untilled soils. Biogeochemistry 20(3): 161-193.

Emadodin, I., Reiss, S., Bork, H.R., 2009. A study of the relationship between land management and soil aggregate stability (case study near Albersdorf, Northern-Germany). Journal of Agriculture and Biological Sciences 4: 48-53.

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Florinsky, IV., 2012. The Dokuchaev hypothesis as a basis for predictive digital soil mapping (on the 125th anniversary of its publication). Eurasian Soil Science 45(4): 445-451.

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Grandy, A.S., Robertson, G.P., 2006. Aggregation and organic matter protection following tillage of a previously uncultivated soil. Soil Science Society of America Journal 70(4): 1398–1406.

Greenlan, D.J., Lindstrom, G.R., Quirk, J.P., 1962. Organic materials which stabilize natural soil aggregates. Soil Science Society of America Journal 26(4): 366–371.

Gülser, C. 2018. Predicting aggregate stability of cultivated soils. Journal of Scientific and Engineering Research 5 (11): 252-255

Gülser, C., 2006. Effect of forage cropping treatments on soil structure and relationships with fractal dimensions. Geoderma 131(1-2): 33-44.

Hancock, G.R., Martinez, C., Evans, K.G., Moliere, D.R., 2006. A comparison of SRTM and high‐resolution digital elevation models and their use in catchment geomorphology and hydrology: Australian examples. Earth Surface Processes and Landforms 31(11): 1394-1412.

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Abstract

Soil aggregate stability is considered as an important indicator of soil quality in the landscapes witnessing land degradation due to soil erosion by water. An increase in anthropogenic activities over the period of time has accelerated soil erosion that necessitated need to assess soil aggregate stability in various land use/land cover in the hilly and mountainous landscape. The study investigated the soil aggregate stability of surface soils in different land use/ land cover classes, hillslope unites as well as in respect to terrain parameters in the watershed. The watershed located in mid- Himalayan region of Tehri Garhwal district, Uttarakhand, India covering an area of 196 ha. The elevation of the watershed ranges from 1200 m to 1927 m. CartoDEM was used to derive terrain parameters i.e., aspect, slope and terrain indices like Terrain Wetness Index (TWI) and Stream Power Index (SPI) of the watershed. Among the various land use /land cover classes, aggregate stability in crop land was found to be in the range of 0.16 (lower hillslope) to 0.28 (mid hillslope), in forest ranged from 0.18 (mid hillslope) to 0.28 (upper hillslope) and in dense scrub ranged from 0.16 (middle slope) to 0.32 (upper/lower hillslope). The aggregate stability was further analyzed in relation with various soil (carbon, nitrogen, sand, silt, clay and pH) and terrain (slope, elevation, TWI and SPI) variables. Among these variables soil carbon, nitrogen, elevation, TWI and SPI were found to have moderate to high degree of correlation with soil aggregate stability. Prediction model developed by using the various significant soil and terrain parameters were found to be more effective (r2 = 0.50) than the models developed using only soil parameters (r2= 0.36) or only terrain parameters (r2= 0.37).

Keywords: Land Use/ land cover, Mid-Himalaya, soil aggregate stability, terrain parameters.

References

Amézketa, E., 1999. Soil aggregate stability: a review. Journal of Sustainable Agriculture 14(2-3): 83-151.

Angers, D.A., Pesant, A., Vigneux, J., 1992. Early cropping-induced changes in soil aggregation, organic matter, and microbial biomass. Soil Science Society of America Journal 56(1): 115-119.

Annabie, M., Raclot, D., Bahri, H., Bailly, J.S., Gomez, C., Le Bissonnais, Y., 2017. Spatial variability of soil aggregate stability at the scale of an agricultural region in Tunisia. Catena 153: 157-167.

Anornu, G.K.., Kabo-Bah, A., Kortats, B.K., 2012. Comparability studies of high and low resolution digital elevation models for watershed delineation in the tropics: case of Densu River Basin of Ghana. International Journal of Cooperative Studies 1(1): 9–14.

Ballabio, C., Panagos, P., Monatanarella, L., 2016. Mapping topsoil physical properties at European scale using the LUCAS database. Geoderma 261: 110-123.

Barthès, B., Albrecht, A., Asseline, J., De Noni, G., Roose, E., 1999. Relationship between soil erodibility and topsoil aggregate stability or carbon content in a cultivated Mediterranean highland (Aveyron, France). Communications in Soil Science and Plant Analysis 30(13-14):1929-1938.

Barthès, B., Azontonde, A., Boli, B.Z., Prat, C., Roose, E., 2000. Field‐scale run‐off and erosion in relation to topsoil aggregate stability in three tropical regions (Benin, Cameroon, Mexico). European Journal of Soil Science 51(3): 485-495.

Behrens, T., Zhu, A.X., Schmidt, K., Scholten, T., 2010. Multi-scale digital terrain analysis and feature selection for digital soil mapping. Geoderma 155(3-4): 175-185.

Berhe, A.A., Harte, J., Harden, J.W., Torn, M.S., 2007. The significance of the erosion-induced terrestrial carbon sink. BioScience 57(4): 337-346.

Beven, K.J., Kirkby, M.J., 1993. A physically-based, variable contributed area model of basin hydrology. Hydrological Science Bulletin 24(1): 43–69.

Bricchi, E., Formia, F., Espósito, G., Riberi, L., Aquino, H., 2004. The effect of topography, tillage and stubble grazing on soil structure and organic carbon levels. Spanish Journal of Agricultural Research 2(3): 409-418.

Bronick, C.J., Lal, R., 2005. Manuring and rotation effects on soil organic carbon concentration for different aggregate size fractions on two soils in northeastern Ohio, USA. Soil and Tillage Research 81(2): 239-252.

Cambardella, C.A., Moorman, T.B., Parkin, T.B., Karlen, D.L., Novak, J.M., Turco, R.F., Konopka, A.E., 1994. Field-scale variability of soil properties in central Iowa soils. Soil Science Society of America Journal 58(5): 1501-1511.

Campling, P., Gobin, A., Feyen, J., 2002. Logistic modeling to spatially predict the probability of soil drainage classes. Soil Science Society of America Journal 66(4): 1390-1401.

Cantón, Y., Solé-Benet, A., Asensio, C., Chamizo, S., Puigdefábregas, J., 2009. Aggregate stability in range sandy loam soils relationships with runoff and erosion. Catena 77(3): 192-199.

Carter, M.R., 1992. Influence of reduced tillage systems on organic matter, microbial biomass, macro-aggregate distribution and structural stability of the surface soil in a humid climate. Soil and Tillage Research 23(4): 361-372.

Case, B.S., Meng, F.R., Arp, P.A., 2005. Digital elevation modelling of soil type and drainage within small forested catchments. Canadian Journal of Soil Science 85(1): 127-137.

Cerdá, A., 1996. Soil aggregate stability in three Mediterranean environments. Soil Technology 9(3): 133-140.

Das, S., Patel, P.P., Sengupt, S., 2016. Evaluation of different digital elevation models for analyzing drainage morphometric parameters in a mountainous terrain: a case study of the Supin–Upper Tons Basin, Indian Himalayas. SpringerPlus 5: 1544.

Davidson, E.A., Ackerman, I.L., 1993. Changes in soil carbon inventories following cultivation of previously untilled soils. Biogeochemistry 20(3): 161-193.

Emadodin, I., Reiss, S., Bork, H.R., 2009. A study of the relationship between land management and soil aggregate stability (case study near Albersdorf, Northern-Germany). Journal of Agriculture and Biological Sciences 4: 48-53.

Fang, X., Xue, Z., Li, B., An, S., 2011. Soil organic carbon distribution in relation to land use and its storage in a small watershed of the Loess Plateau, China. Catena 88(1): 6-13.

Fernández‐Ugalde, O., Barré, P., Hubert, F., Virto, I., Girardin, C., Ferrage, E., Chenu, C., 2013. Clay mineralogy differs qualitatively in aggregate‐size classes: clay‐mineral‐based evidence for aggregate hierarchy in temperate soils. European Journal of Soil Science 64(4):410-422.

Florinsky, IV., 2012. The Dokuchaev hypothesis as a basis for predictive digital soil mapping (on the 125th anniversary of its publication). Eurasian Soil Science 45(4): 445-451.

Gerrard, A.J., 1981. Soils and landforms: An integration of geomorphology and pedology. George Allen & Unwin (Publishers) Ltd.

Grandy, A.S., Robertson, G.P., 2006. Aggregation and organic matter protection following tillage of a previously uncultivated soil. Soil Science Society of America Journal 70(4): 1398–1406.

Greenlan, D.J., Lindstrom, G.R., Quirk, J.P., 1962. Organic materials which stabilize natural soil aggregates. Soil Science Society of America Journal 26(4): 366–371.

Gülser, C. 2018. Predicting aggregate stability of cultivated soils. Journal of Scientific and Engineering Research 5 (11): 252-255

Gülser, C., 2006. Effect of forage cropping treatments on soil structure and relationships with fractal dimensions. Geoderma 131(1-2): 33-44.

Hancock, G.R., Martinez, C., Evans, K.G., Moliere, D.R., 2006. A comparison of SRTM and high‐resolution digital elevation models and their use in catchment geomorphology and hydrology: Australian examples. Earth Surface Processes and Landforms 31(11): 1394-1412.

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