Need for site specific land resource database for integrated watershed management
DOI:
https://doi.org/10.53550/Keywords:
Management unit, Remote sensing data, Soil database, Soil erosion, Watershed characterisationAbstract
Lack of site specific land resource database is main limitation for success of any watershed programs. Detailed site-specific land resources database and associated socio economic studies help to identify the inherent potentials and constraints of watershed for drawing appropriate natural resource management plan. The present study was carried out in Muttala watershed, Atmakur Mandal, Anantapur district, Andhra Pradesh to demonstrate the applicability of site-specific land resource database for watershed management. The high resolution satellite data of Cartosat-1 merged IRS LISS IV data in conjunction with cadastral map (1:10000 scale) was used for identification of soils and different management units. Seven soil series were identified in the watershed and mapped into 33 management units. Each management unit is unique with respect to properties and requires specific soil and water conservation plan and management to improve the plot wise productivity. Soil erosion from each management unit was estimated and maximum study area of 469.2 ha is found under moderate erosion class (5-10 t ha ) followed by very severe (20-40 t ha ) class of 399.7 ha. Similarly, various other land resource constraints and potentials were assessed and appropriate soil and water conservation measures were suggested. The database also serves as baseline database for enabling departments to monitor and evaluate the effectiveness of watershed development programs in the area.
References
Akhouri, A.P. 1996. Remote sensing approach for watershed based resource management in Sikkim Himalaya- A case study. Photonirvachak. J. Indian Soc. Remote Sensing 24: 69-83.
Arnalds, O. and Barkarson, B.H. 2003. Soil erosion and land use policy inIceland in relation to sheep grazing and government subsidies Environ. Sci. Policy 6, 105-113
Bhardwaj, S.P. and Dogra, P. 1997. Watershed management models for Himalaya, Siwaliks and Aravallies. Ind. J. Soil Cons., 25: 1-8.
Boardman, J. and Hazelden, J. 1996. Examples for erosion on brick earth soils in east Ghent. Soil Use Manage.,2(3): 105-108.
CGWB. 2007. Central ground water board, ground water information, Anantapur district,Andhra Pradesh
Dharumarajan, S., Singh, S.K., Bannerjee, T. and Dipak Sarkar. 2013. Water-Retention Characteristics and available water capacity in three cropping systems of Lower Indo-Gangetic alluvial plain. Commun. Soil Sci. Plant Anal. 44:18, 2734-2745.
FAO. 1983. Food, and Agricultural Organization of the United Nations. Guidelines: Land evaluation for rainfed agriculture. FAO Soils Bulletin,Vol. 52. FAO, Rome.
Gajendragiri. 2002. Groundnut. In: Field crop production. Rajendra Prasad (Ed). ICAR Publication. pp 397-434.
Ghorbani Ardavan and KakehMami Azad. 2013. Spatial database construction for natural resources and watershed management at the provincial level in Iran:Acase study inArdabil province. European J. Exp. Biology, 3:337-347.
Jackson, M.L. 1973. Soil Chemical Analysis Prentice Hall of India Pvt. Ltd.NewDelhi.
Kalgapurkar, Anitha, Mishra, P.K. and Tripathi, K. 2012. Applicability of RS and GIS in soil and water conservation measures. Ind. J. Soil Cons 40:190-196.
Martin, D. and Saha. S.K. 2007. Integrated Approach of using Remote Sensing and GIS to study watershed prioritization and productivity. J. Indian Soc. Remote Sensing 35: 21-30.
Moore, I.D., Gessler, P.E., Nielson, G.A. and Peterson, G.A. 1993. Soil attribute prediction using terrain analysis. 57: Soil Sci. Soc. Am. J., 443-452
Nagaraju, M.S.S., Nirmal Kumar, Srivastava, Rajeev and Das, S.N. 2014.Cadastral level soil mapping in basaltic terrain using Cartosat-1- derived products. Int. J. Remote Sensing, 35(10): 3764-3781.
Naidu, L.G.K., Ramamurthy, V., Chella, O., Hegde, R. and Krishnan, P. 2006. Manual for soil site suitability criteria for major crops. NBSS Publication No. 129,NBSS&LUP, Nagpur, 118 p.
Nalatwadmath, S.K., Ramamohan Rao, M.S., Chittarajan, S., Jayaram, N.S., Adhikari, R.N. and Husenappa, V. 2004. Rainfall-runoff-soil loss relationship for different degree and length of slope in runoff plots. Indian J. Dryland Agric. Res. Dev. 19(1): 31-37.
Natarajan, A. and Dipak Sarkar. 2010. Field guide for soil survey.NBSS&LUP(ICAR), Nagpur, 73 p. Pal, D.K. and Deshpande, S.B. 1987. Characteristics and genesis of minerals in some benchmark Vertisols of India. Pedologie 37(3): 259-275.
Pandey, A., Chowdary, V.M. and Mal, B.C. 2007. Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resour. Manage . 21: 729-746.
Piper, C.S. 1966. Soil and Plant Analysis . Hans Publisher, Bombay.
Ramakrishnan, D., Durga Rao, K.H.V. and Tiwari, K.C. 2008. Delineation of potential sites for water harvesting structures through remote sensing and GIS techniques: a case study of Kali watershed, Gujarat, India. Geocarto International 23: 95-108.
Reddy, R.S., Nalatwadmath, S.K. and P. Krishnan. 2005. Soil erosion of Andhra Pradesh. NBSS&LUP Publication No. 114, 76 p.
Richards, L.A. 1954. Soil and Water Conservation Research Branch, Agricultural Research Service,Agriculture Handbook No. 60.
Sahai, B. 1988. Remote sensing in rural development. Photonirvachak. J. Indian Soc. Remote Sensing, 16: 5-12.
Sharada, D., Ravi Kumar, M.V., Venkataratnam, L. and Malleswar Rao, T.Ch. 1993. Watershed prioritisation for soil conservation-a GIS approach. Geocarto International, 8: 27-34.
Singh, Gurmel, Ram Babu and Chandra, Subhash. 1981. Soil Loss Prediction Research in India Central Soil and Water Conservation Research & Training Institute. Dehradun. Bull. No.T-12/D-9, 70 p.
Soil Survey Staff. 2003. Soil Survey Manual, USDA, Scientific Publishers, Jodhpur.
Soil Survey Staff. 2008. Soil Taxonomy Agricultural Handbook, Title 436, Third Edition, US Department of Agriculture,Washington DC, USA, 869 p.
Srivastava, R. and Saxena, R.K. 2004. Technique of Large-Scale Soil Mapping in Basaltic Terrain Using Satellite Remote Sensing Data. 25: 679-688.
Stocking, M. and Murnaghan, N. 2001. Handbook for the FieldAssessment of Land Degradation. London: Earthscan.
Walkey, A. and Black, I.A. 1934. An estimation of the method for determining soil organic matter and a proposed modification of the chromic acid titration method. 37: 29-38.
Wani, S.P., Sreedevi, T.K., Singh, H.P. and Pathak, P. 2002. Farmer Participatory Integrated Watershed Management Model: Adarsha
Watershed, Kothapally, IndiaASuccess Story. ICRISAT, Patancheru, Andhra Pradesh, India. 22 p.
Whiley,W. 1984.Tropical tree fruits for Australia (compiled by Q.D. Dept. of Prim. Indus. Inform. SeriesQ183018, 2s).
Wilson, J.P. and Gallant, J.C. 2000. Terrain Analysis, Principles and Applications.NewYork: JohnWiley&Sons Inc.
Wischmeier, W.H. and D.D. Smith. 1978. Predicting rainfall erosion losses-Aguide to conservation planning. USDAHandbook No.537, Washingdon, D.C., 58 p.
Wright, R.L. 1993. Some application of geomorphology in soil survey for land use planning. In: D.K. Dent and S.B. Deshpande (Ed.). Land Evaluation for land use planning. NBSS Publ. No. 42. Nagpur, India, pp. 28-41.



