Abstract
The integration of biophysical resources and socio-economic information to form resource management domains indicating similar potential, constraints, and socio-economic status is accepted as an approach for science-based decision-making in land use and other related resource management. A case study of agriculturally worst-hit Yavatmal district in the Maharashtra state of India is presented here. Rural livelihood resources (data on soil, water, land use land cover) were analyzed and related to the population (density, distribution) and poverty (below poverty line population). Soil information included data on a 1:50,000 scale, while water resources (groundwater recharge potential zones and surface runoff potential) were assessed for different administrative blocks (development unit). A resource index was derived by overlaying the thematic layers of soil fertility, water holding capacity (WHC), land use land cover, water resources, and socio-economic parameters. Resource management domains were delineated based on the index. Sixteen blocks of the district showed varied potential underpinned by the combined effect of available resources and their status. The domains are recommended for use in decision-making especially for preparing watershed development plans.
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References
Bárdossy A (2007) Calibration of hydrological model parameters for ungauged catchments. Hydrol Earth Syst Sci 11:703–710
Bhaskar BP, Sarkar D, Mandal C, Bobade SV, Gaikawad MS, Gaikawad SS, Nimkar AM, Bhattacharyya T (2014) Reconnaissance soil survey in Yavatmal district, Maharashtra. NBSS Publ. No.1059, NBSS&LUP, Nagpur, p 204
Campbell BJ, Sayer A, Frost PS, Vermeulen M, Pérez R, Cunningham A, Prabhu R (2001) Assessing the performance of natural resource systems. Conserv Ecol 5(2):22
Census of India Report (2011) http://www.censusindia.gov.in Accessed 5 July 2016
Chaturvedi A, Hajare TN, Patil NG, Chaturvedi A, Mungole A, Kamble R (2015) Land use planning issues in management of common property resources in a backward tribal area. Land Use Policy 42:806–812
CGWB (2009) Detailed guidelines for implementing the groundwater estimation methodology. http://cgwb.gov.in/Documents/GEC97-Detailed_Guidelines.pdf Accessed 5 July 2016
CGWB (2013) Groundwater information Yavatmal district Maharashtra available at http://cgwb.gov.in/District_Profile/Maharashtra/Yavatmal.pdf Accessed 5 July 2016
Directorate of Economics (2013) https://mahades.maharashtra.gov.in Accessed 1 June 2017
Douglas LK, John LK, Cynthia AC, Thomas SC (2013) Thirty-year tillage effects on crop yield and soil fertility indicators. Soil Tillage Res 130:24–41
Durigon VL, Carvalho DF, Antunes MAH, Oliveira PTS, Fernandes MM (2014) NDVI time series for monitoring RUSLE cover management factor in a tropical watershed. Int J Remote Sens 35:441–453
Hellkamp AS, Bay JM, Campbell CL, Easterling KN, Fiscus DA, Hess GR, McQuaid BF, Munster MJ, Olson GL, Peck SL, Shaver SR, Sidik K, Tooley MB (2000) Assessment of the condition of agricultural lands in six Mid-Atlantic States. J Environ Qual 29:795–804
Kam SP, Nhan NV, Tuong TP, Hoanh CT, Be Nam, VT, Maunahan A (2006) Applying the Resource Management Domain (RMD) concept to land and water use and management in the coastal zone: case study of Bac Lieu Province, Vietnam. No H039116, IWMI Books, Reports, International Water Management Institute
Mehra M, Singh CK, Abrol IP, Oinam B (2017) A GIS-based methodological framework to characterize the resource management domain (RMD): a case study of Mewat district, Haryana, India. Land Use Policy 60:90–100
Min DH, Islam KR, Vough LR, Weil RR (2003) Dairy manure effects on soil quality properties and carbon sequestration in alfalfa–orchard grass systems. Commun Soil Sci Plant Anal 34:5–6
Mishra SK, Singh VP (2003) Soil conservation service curve number (SCS-CN) methodology. Springer, Dordrecht
Nie Y, Yu J, Peng Y, Wu Y, Yu L, Jiang Y, Zhou Y (2016) A comprehensive evaluation of soil fertility of cultivated land: a GIS-based soil basic niche-fitness model. Commun Soil Sci Plant Anal 47(5):670–678
Patil NG, Reddy VP, Patangray A, Singh SK (2018) Mapping groundwater recharge potential using GIS approach in Darwha block. Arab J Geosci 11:8
Ram B, Joshi DC (2010) Resource management domain (RMD)-a concept for sustainable agricultural development in hot arid regions of India. Arid Land Res Manag 24:164–180
Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC (1997) Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). Agriculture Handbook No. 703. USDA-ARS, Washington, DC
Roy AD, Sreekesh S (2014) Dynamics of overland flow under changing cropping pattern: a spatial modeling approach in Penganga sub-watershed. In: Raju N (ed) Geostatistical and geospatial approaches for the characterization of natural resources in the environment. Springer, Cham
Socio-economic report of Yavatmal district (2013) http://mahades.maharashtra.gov.in Accessed 10 December 2017
Vandewiele GL, Atlabachew E (1995) Monthly water balance of ungauged catchments obtained by geographical regionalization. J Hydrol 170:277–291
World Bank Report, India: Issues and Priorities for Agriculture (2012) https://www.worldbank.org/en/news/feature/2012/05/17/india-agriculture-issues-priorities Accessed 12 December 2017
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Patil, N.G., Reddy, V.P. & Singh, S.K. Delineating resource management domains of Yavatmal district using geospatial tools. Arab J Geosci 14, 207 (2021). https://doi.org/10.1007/s12517-021-06574-w
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DOI: https://doi.org/10.1007/s12517-021-06574-w