Abstract
Groundwater aquifers support agricultural production in many parts of the world. Rapidly declining aquifer levels can have significant negative implications for the sustainability of irrigated agriculture. In this paper, we study the effects of declining well capacities on the downside risk of irrigated agricultural production, defined as the standard deviation of profits that are below the average profit. We simulate seasonal crop yield and profits for three different crops, namely, maize, wheat, and grain sorghum and five different soil types for Finney County in Kansas which overlies the high plains aquifer under current climatic conditions and under the projected climate change scenario with RCP4.5. We find that lower well capacities not only result in lower average profits for all three crops, but they also result in an increase in downside risk. However, we also find that there is significant heterogeneity in downside risk across different crops and soil types. Our results highlight the importance of downside risk for the sustainability of irrigated production under declining aquifer levels and climate change.
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Notes
The results for the rest of the soils are presented in the “Appendix”.
These prices are based on recent crop prices post 2007 and are rounded for simplicity. Biofuel policies in 2005 and 2007 have affected the price of maize.
Average pumping lift in Finney County in 2016, the last year with saturated thickness data from Haacker et al. (2016), was about 36.58 m (120 ft). The cost of pumping with this pumping lift and the electricity price of $0.1 per kwh is $0.027 per \(\hbox {m}^3\) ($2.8 per acre-inch) (https://www.k-state.edu/nres/capstone/Spring%202012_Ogallala.pdf).
Soil type KS04 is similar in characteristics to KS02 and as result, has similar distribution of profits.
References
Abatzoglou JT (2013) Development of gridded surface meteorological data for ecological applications and modelling. Int J Climatol 33(1):121–131
Abatzoglou JT, Brown TJ (2012) A comparison of statistical downscaling methods suited for wildfire applications. Int J Climatol 32(5):772–780
Allen RG, Pereira LS, Raes D, Smith M et al (1998) Crop evapotranspiration-guidelines for computing crop water requirements-FAO irrigation and drainage paper 56, vol 300, no 9. FAO, Rome, p D05109
Ang A, Chen J, Xing Y (2006) Downside risk. Rev Financ Stud 19(4):1191–1239
Antle JM (1987) Econometric estimation of producers’ risk attitudes. Am J Agric Econ 69(3):509–522
Antle JM (2010) Asymmetry, partial moments, and production risk. Am J Agric Econ 92(5):1294–1309
Araya A, Kisekka I, Gowda P, Prasad P (2018) Grain sorghum production functions under different irrigation capacities. Agric Water Manag 203:261–271
Araya A, Kisekka I, Gowda PH, Prasad PV (2017) Evaluation of water-limited cropping systems in a semi-arid climate using dssat-csm. Agric Syst 150:86–98
Araya A, Prasad P, Gowda P, Afewerk A, Abadi B, Foster A (2019) Modeling irrigation and nitrogen management of wheat in northern Ethiopia. Agric Water Manag 216:264–272
Babcock BA, Kwan Choi E, Feinerman E (1993) Risk and probability premiums for CARA utility functions. J Agric Res Econ 18:17–24
Bader DC, Covey C, Gutowski WJ Jr, Held IM, Kunkel KE, Miller RL, Tokmakian RT, Zhang MH (2008) Climate models: an assessment of strengths and limitations. Geological and Atmospheric Sciences Reports, vol 3. https://lib.dr.iastate.edu/ge_at_reports/3
Bigman D (1996) Safety-first criteria and their measures of risk. Am J Agric Econ 78(1):225–235
Brookfield A (2016) Minimum saturated thickness calculator. Kansas Geological Survey Open-File Report, vol 3
Caswell MF, Zilberman D (1986) The effects of well depth and land quality on the choice of irrigation technology. Am J Agric Econ 68(4):798–811
Di Falco S, Chavas J-P (2006) Crop genetic diversity, farm productivity and the management of environmental risk in rainfed agriculture. Eur Rev Agric Econ 33(3):289–314
Di Falco S, Veronesi M (2014) Managing environmental risk in presence of climate change: the role of adaptation in the nile basin of ethiopia. Environ Resour Econ 57(4):553–577
Donoso G (2014) A decision framework for a farmer who is risk averse in the arrow-pratt sense and downside risk averse. Econ Agraria y Recursos Nat 14(1380–2016–115461):5–26
Donovan K (2016) Agricultural risk, intermediate inputs, and cross-country productivity differences. Unpublished Working Paper, University of Notre Dame
Drysdale KM, Hendricks NP (2018) Adaptation to an irrigation water restriction imposed through local governance. J Environ Econ Manag 91:150–165
Eden JM, Widmann M (2014) Downscaling of gcm-simulated precipitation using model output statistics. J Clim 27(1):312–324
Emerick K, de Janvry A, Sadoulet E, Dar MH (2016) Technological innovations, downside risk, and the modernization of agriculture. Am Econ Rev 106(6):1537–61
Estrada J (2007) Mean-semivariance behavior: Downside risk and capital asset pricing. Int Rev Econ Financ 16(2):169–185
Fishman R (2018) Groundwater depletion limits the scope for adaptation to increased rainfall variability in India. Clim Change 147(1–2):195–209
Fishman RM (2012) Climate change, rainfall variability, and adaptation through irrigation: evidence from Indian agriculture. Working Paper, Columbia University, New York
Foster T, Brozović N, Butler A (2015) Why well yield matters for managing agricultural drought risk. Weather Clim Extremes 10:11–19
Foster T, Brozovic N, Butler AP (2014) Modeling irrigation behavior in groundwater systems. Water Resour Res 50(8):6370–6389
Groom B, Koundouri P, Nauges C, Thomas A (2008) The story of the moment: risk averse cypriot farmers respond to drought management. Appl Econ 40(3):315–326
Haacker EM, Kendall AD, Hyndman DW (2016) Water level declines in the high plains aquifer: predevelopment to resource senescence. Groundwater 54(2):231–242
Harlow WV (1991) Asset allocation in a downside-risk framework. Financ Anal J 47(5):28–40
Harner RF, Angell RC, Lobmeyer ML, Jantz DR (1965) Soil survey of Finney County, Kansas. USDA series 1961, no 30. U.S. Gov. Print. Office, Washington, DC
Hecox G, Macfarlane P, Wilson B (2002) Calculation of yield for High Plains wells: Relationship between saturated thickness and well yield. Kansas Geological Survey Open File Report, vol 24
Hoogenboom G, Porter C, Shelia V, Boote K, Singh U, White J, Hunt L, Ogoshi R, Lizaso J, Koo J et al (2017) Decision support system for agrotechnology transfer (DSSAT) version 4.7. DSSAT foundation, Gainesville, FL, USA
Hrozencik R, Manning D, Suter J, Goemans C, Bailey R (2017) The heterogeneous impacts of groundwater management policies in the Republican River Basin of Colorado. Water Resour Res 53(12):10757–10778
Jones JW, Hoogenboom G, Porter CH, Boote KJ, Batchelor WD, Hunt L, Wilkens PW, Singh U, Gijsman AJ, Ritchie JT (2003) The dssat cropping system model. Eur J Agron 18(3–4):235–265
Koundouri P, Laukkanen M, Myyrä S, Nauges C (2009) The effects of eu agricultural policy changes on farmers’ risk attitudes. Eur Rev Agric Econ 36(1):53–77
Manning DT, Suter JF (2019) Production externalities and the gains from management in a spatially-explicit aquifer. J Agri Res Econ 44:194–211
Maraun D, Wetterhall F, Ireson A, Chandler R, Kendon E, Widmann M, Brienen S, Rust H, Sauter T, Themeßl M et al (2010) Precipitation downscaling under climate change: recent developments to bridge the gap between dynamical models and the end user. Rev Geophys 48(3)
Menezes C, Geiss C, Tressler J (1980) Increasing downside risk. Am Econ Rev 70(5):921–932
Mieno T, Walters CG, Fulginiti LE (2018) Input use under crop insurance: the role of actual production history. Am J Agric Econ 100(5):1469–1485
Peterson JM, Marsh TL, Williams JR et al (2003) Conserving the ogallala aquifer: efficiency, equity, and moral motives. Choices 1:15–18
Pfeiffer L, Lin C-YC (2014) The effects of energy prices on agricultural groundwater extraction from the high plains aquifer. Am J Agric Econ 96(5):1349–1362
Rouhi Rad M, Brozović N, Foster T, Mieno T (2020a) Effects of instantaneous groundwater availability on irrigated agriculture and implications for aquifer management. Resour Energy Econ 59:101129
Rouhi Rad M, Haacker EM, Sharda V, Nozari S, Xiang Z, Araya A, Uddameri V, Suter JF, Gowda P (2020b) Mod\$\$at: a hydro-economic modeling framework for aquifer management in irrigated agricultural regions. Agric Water Manag 238:106194
Saha S, Moorthi S, Wu X, Wang J, Nadiga S, Tripp P, Behringer D, Hou YT, Chuang UY, Iredell M, Ek M (2012) NCEP climate forecast system version 2 (cfsv2) monthly products. Research Data Archive at the National Center for Atmospheric Research
Sampson GS, Perry ED (2019) Peer effects in the diffusion of water-saving agricultural technologies. Agric Econ 50(6):693–706
Smith SM, Andersson K, Cody KC, Cox M, Ficklin D (2017) Responding to a groundwater crisis: The effects of self-imposed economic incentives. J Assoc Environ Resour Econ 4(4):985–1023
Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of cmip5 and the experiment design. Bull Am Meteorol Soc 93(4):485–498
Thomson AM, Calvin KV, Smith SJ, Kyle GP, Volke A, Patel P, Delgado-Arias S, Bond-Lamberty B, Wise MA, Clarke LE et al (2011) Rcp4. 5: a pathway for stabilization of radiative forcing by 2100. Clim Change 109(1–2):77
Tsur Y (1990) The stabilization role of groundwater when surface water supplies are uncertain: the implications for groundwater development. Water Resour Res 26(5):811–818
Tsur Y, Graham-Tomasi T (1991) The buffer value of groundwater with stochastic surface water supplies. J Environ Econ Manag 21(3):201–224
USDA SCS (1985) National Engineering Handbook: Hydrology, Sect 4, chap 4–10. US Department of Agricolture, Soil Conservation Service, Washington, DC, USA
Van Vuuren DP, Edmonds J, Kainuma M, Riahi K, Thomson A, Hibbard K, Hurtt GC, Kram T, Krey V, Lamarque J-F et al (2011) The representative concentration pathways: an overview. Clim Change 109(1–2):5
Williams J, Jones C, Dyke PT (1984) A modeling approach to determining the relationship between erosion and soil productivity. Trans ASAE 27(1):129–0144
Zaveri E, Grogan DS, Fisher-Vanden K, Frolking S, Lammers RB, Wrenn DH, Prusevich A, Nicholas RE (2016) Invisible water, visible impact: groundwater use and indian agriculture under climate change. Environ Res Lett 11(8):084005
Acknowledgements
The authors thank Jordan F. Suter for his feedback. This article is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award number 2016-68007-25066, “Sustaining agriculture through adaptive management to preserve the Ogallala aquifer under a changing climate.”
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Appendix
Appendix
Baseline climate
Climate change
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Rouhi Rad, M., Araya, A. & Zambreski, Z.T. Downside risk of aquifer depletion. Irrig Sci 38, 577–591 (2020). https://doi.org/10.1007/s00271-020-00688-x
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DOI: https://doi.org/10.1007/s00271-020-00688-x