The paper assessed the sensitivity of an integrated hydro-economic model, to provide a quantitative range of uncertainty in the impacts of climate change on water balance components and water use in the agricultural sector of Apulia region located in a semi-arid Mediterranean climate area in southern Italy. Results show that the impacts of climate change are expressed in the future by an increase in the net irrigation requirements (NIRs) of all crops. Total cultivated land is reduced by 8.5 % in the future, and the percentage of irrigated land decreases from 31 to 22 % of total agricultural land. Reduction in the irrigated land, together with the variation in the cropping pattern and the adoption of the different irrigation techniques, led to a decrease in water demand for irrigation across the entire region. The sensitivity analysis shows that the groundwater recharge has the lowest correlation to climatic parameters. Results are addressed to the scientific community and decision makers to support the design of adequate adaptation policies for efficient water management under the severe drought conditions that are likely to occur in the region according to climate change projections.
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Adnan S, Khan AH (2009) Effective rainfall for irrigated agriculture plains of Pakistan. Pak J Meteorol 6(11)
Ahrends H, Mast M, Rodgers C, Kunstmann H (2008) Coupled hydrological-economic modelling for optimised irrigated cultivation in a semi-arid catchment of West Africa. Environ Model Softw 23:385–395
Allen RG, Pereira LS, Raes D and Smith M (1998) Crop evapotranspiration. Guidelines for computing crop water requirements. Irrig. and Drain. Pap. 56. Food and Agricultural Organization of the United Nations (FAO).
Anwar MR, Liu DL, Macadam I, Kelly G (2012) Adapting agriculture to climate change: a review. Theor Appl Climatol 113:225–245
Barthel R, Reichenau TG, Krimly T, Dabbert S, Schneider K, Mauser W (2012) Integrated modeling of global change impacts on agriculture and groundwater resources. Water Resour Manag 26:1929–1951
Cainarca CG (1998) Verifica dell’applicabilità delle funzioni di pedotrasferimento per la determinazione delle caratteristiche idrauliche dei suoli. Master Thesis, Mediterranean Agronomic Institute of Bari, 92 pp
Carpenter SR, Pingali PL, Bennet EM, Zurek MB (2005) Ecosystems and Human Wellbeing: Scenarios, Volume 2. Findings of the Scenarios Working Group of the Millennium Ecosystem. Assessment – United Nations, Environment Programme (UNEP)
Celico P (1986) Prospezioni Idrogeologiche. Ed. Liguori, Napoli, vol. I-II.
Chavez-Jimenez A, Lama B, Garrote L, Martin-Carrasco F, Sordo-Ward A, Mediero L (2013) Characterisation of the sensitivity of water resources systems to climate change. Water Resour Manag 27:4237–4258
D’Agostino DR, Liuzzi GT, Lamaddalena N, Ragab R (2010) Assessing the results of scenarios of climate and land use changes on the hydrology of an Italian catchment: modelling study. Hydrol Process 24:2693–2704
De Girolamo AM, Limoni PP, Portoghese I, Vurro M (2002) Il bilancio idrogeologico delle idrostrutture pugliesi. Sovrasfruttamento e criteri di gestione L’Acqua 3:33–45
Dooge JCI (1977) Problems and methods of rainfall-runoff modelling. In: Ciriani TA, Maione U, Wallis JR (eds) Mathematical models for surface water hydrology. Wiley, New York, pp 71–108
Doorenbos J, Plusje JMGA, Kassam AH, Branscheid V and Bentvelsen CLM (1986) Yield response to water. Irrig. and Drain. Pap. 33. Food and Agriculture Organization of the United Nations (FAO).
EEA (2007) CLC2006 technical guidelines. European Environment Agency (EEA), Technical report No 17/2007, Copenhagen, Denmark. 66 p.
El Chami D, Scardigno A, Malorgio G (2011a) Impacts of combined technical and economic measures on water saving in agriculture under water availability uncertainty. Water Resour Manag 25(14):3911–3929
El Chami D, Scardigno A, Zagnoli G, Malorgio G (2011b) Integrated irrigation water policies: economic and environmental impact in the “renana” reclamation and irrigation board, Italy. New medit Vol X 2(2011):25–32
Foley AM (2010) Uncertainty in regional climate modelling: a review. Prog Physi Geogr 34:647–670
Fowler HJ, Blenkinsop S, Tebaldi C (2007) Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. Int J Climatol 27:1547–1578
Frey HC, Patil SR (2002) Identification and review of sensitivity analysis methods. Risk Anal 22(3):553–578
Gómez-Limón JA, Berbel J (2000) Multi-criteria analysis of derived water demand functions: A Spanish case study. Agric Syst 63:49–72
Gualdi S, Somot S, Li L, Artale V, Adani M, Bellucci A, Braun A, Calmanti S, Carillo A, Dell’Aquilla A, Déqué M, Dubois C, Elizalde A, Harzallah A, Jacob D, L’Hévéder B, May W, Oddo P, Ruti P, Sanna A, Sannino G, Scoccimarro E, Sevault F, Navarra A (2013) The CIRCE simulations: regional climate change projections with realistic representation of the Mediterranean sea. Bull Am Meteorol Soc (BAMS) 94(1):65–81
Helton JC, Johnson JD, Sallaberry CJ, Storlie CB (2006) Survey of sampling-based methods for uncertainty and sensitivity analysis. Reliab Eng Syst Safe 91:1175–1209
ISTAT (2007) Survey on agricultural holding structure and output. Italian National Institute for Statistics (Istat). Accessed on March 2013: http://www.istat.it/agricoltura/datiagri/coltivazioni.
Janssen S, Louhichi K, Kanellopoulos A, Zander P, Flichman G, Hengsdijk H, Meuter E, Andersen E, Belhouchette H, Blanco M, Borkowski N, Heckelei T, Hecker M, Li H, Lansink AO, Stokstad G, Thorne P, van Keulen H, Van Ittersum KM (2010) A generic Bio-economic farm model for environmental and economic assessment of agricultural systems. Environ Manage 46(6):862–877
Jones RN, Francis Chiew FHS, Boughton WC, Zhang L (2006) Estimating the sensitivity of mean annual runoff to climate change using selected hydrological models. Adv Water Resour 29:1419–1429
Katz RW (2002) Techniques for estimating uncertainty in climate change scenarios and impact studies. Clim Res 20:167–185
Kloss S, Pushpalatha R, Kamoyo KJ (2012) Evaluation of crop models for simulating and optimizing deficit irrigation systems in arid and semi-arid countries under climate variability. Water Resour Manag 26:997–1014
Knox J, Hess T, Daccache A, Wheeler T (2012) Climate change impacts on crop productivity in Africa and South Asia. Environ Res Lett 7
Lanini S, Courtois N, Giraud F, Petit V, Rinaudo JD (2004) Socio hydrosystem modelling for integrated water-resources management – the Hérault catchment case study, southern France. Environ Model Softw 19(11):1011–1019
Louhichi K, Kanellopoulos A, Janssen S, Flichman G, Blanco M, Hengsdijk H, Heckelei T, Berentsen P, Oude Lansink P and Van Ittersum M (2010) FSSIM, a bio-economic farm model for simulating the response of EU farming systems to agricultural and environmental policies. Agric. Syst., (103): 585–597.
Lung T, Dosio A, Becker W, Lavalle C, Bouwer LM (2012) Assessing the influence of climate model uncertainty on EU-wide climate change impact indicators. Clim Chang 120:211–227
Noel JE, Howitt RE (1982) Conjunctive multi-basin management an optimal control approach. Water Resour Res 18(4):753–763
Obreza TA, Pitts DJ (2002) Effective rainfall in poorly drained microirrigated citrus Orchards. Soil Sci Soc Am J 66:212–221
Ozdogan M, Woodcock CE, Salvucci GD, Demir H (2006) Changes in summer irrigated crop area and water use in southeastern Turkey from 1993 to 2002: implication for current and future water resources. Water Resour Manag 20:467–488
Polemio M, Limoni PP (2001) L’evoluzione dell’inquinamento salino delle acque sotterranee della Murgia e del Salento. Mem Soc Geol Ital 56:327–331
Purkey DR, Huber-Lee A, Yates DN, Hanemann M, Herrod-Julius S (2007) Integrating a climate change assessment tool into stakeholder-driven water management decision-making processes in California. Water Resour Manag 21:315–329
Raziei T, Pereira LS (2013) Estimation of ET0 with Hargreaves–Samani and FAO-PM temperature methods for a wide range of climates in Iran. Agric Water Manag 121:1–18
Risbey JS, Hamza K, Marsden JS (2007) Use of climate scenarios to aid in decision analysis for interannual water supply planning. Water Resour Manag 21:919–932
Samani Z (2004) Discussion of “History and evaluation of Hargreaves evapotranspiration equation” by George H Hargreaves and Richard G Allen. J Irrig Drain Eng 130(5):447–448
Saraiva JP, Pinheiro AC (2007) A multi-criteria approach for irrigation water management. Agric Econ Review 8(1):64–76
Scardigno A and Viaggi D (2007) Water demand management in the Mediterranean: Progress and Policies. In: Water and Sustainability Development in the Mediterranean. 3rd Regional Workshop on water and sustainable development in the Mediterranean, Zaragozza 19–21 March, pp 24.
Scardigno A, D’Agostino D, El Chami D and Lamaddalena N (2014) Impacts of Climate Change on Agricultural Water Management: Application of an Integrated Hydrological-Economic modelling tool in a Semi-Arid Region. In: Zopounidis et al. (Ed), Agricultural Cooperative Management and Policy. Springer International Publishing, Switzerland 199–222
Setegn SH, Chowdary VM, Mal BC, Yohannes F, Kono Y (2011) Water balance study and irrigation strategies for sustainable management of tropical ethiopian lake: A case study of lake Alemaya. Water Resour Manag 25:2081–2107
Sharifi SS, Delirhasannia R, Nourani V, Sadraddini AA, Ghorbani A (2013) Using Artificial Neural Networks (ANNs) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for Modeling and Sensitivity Analysis of Effective Rainfall. In: Recent Advances in Continuum Mechanics, Hydrology and Ecology, Mladenov V (eds): 133–139.
Sirajul Islam MD, Aramaki T, Hanaki K (2005) Development and application of an integrated water balance model to study the sensitivity of the Tokyo metropolitan area water availability scenario to climatic changes. Water Resour Manag 19:423–445
Smith M (1992) CROPWAT, a computer program for irrigation planning and management. Irrigation and Drainage Paper n. 26. FAO, Rome, 126 pp.
Solomon S, Qin D, Manning M, Marquis M, Averyt K, MB Tignor M, LeRoy Miller H Jr and Chen Z (2007) Climate Change 2007 – The physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC).
Steduto P, Todorovic M (2001) Agro-ecological characterization of the Apulia region: methodology and experience. In: Zdruli P, Steduto P, Lacirignola C, Montanarella L (eds) Soil resources in southern and eastern Mediterranean countries, vol 34, Options Méditerranéennes, Series B: Studies and Research., pp 143–158
US-SCS (1972) National Engineering Handbook. United States Soil Conservation Service (US-SCS), USDA. Washington, DC. 593 p.
Wang Y, Chen Y, Shizhang P (2011) A GIS framework for changing cropping pattern under different climate conditions and irrigation availability scenarios. Water Resour Manag 25:3073–3090
Wei H, Nearing MA, Stone JJ (2007) A comprehensive sensitivity analysis framework for model evaluation and improvement using a case study of the rangeland hydrology and erosion model. T of the ASABE 50(3):945–953
Xu CY (1999) Climate change and hydrologic models: a review of existing gaps and recent research developments. Water Resour Manag 13:369–382
Xu CY, Singh VP (1994) Review on regional water resources assessment models under stationary and changing climate. Water Resour Manag 18:591–612
The authors would like to express their very great appreciation to the French Ministry for Ecology, Sustainable Development, Transport and Housing, which funded this research in the framework of the “Climaware” project. They would also like to acknowledge Dr. G. Passarella for his invaluable scientific support and constructive suggestions; Mr. M. Daurù for his technical and modelling assistance and Ms. D. Glasgow and Ms. M. Amoruoso for the proofreading provided.
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D’Agostino, D.R., Scardigno, A., Lamaddalena, N. et al. Sensitivity Analysis of Coupled Hydro-Economic Models: Quantifying Climate Change Uncertainty for Decision-Making. Water Resour Manage 28, 4303–4318 (2014). https://doi.org/10.1007/s11269-014-0748-2
- Sensitivity analysis
- Hydro-economic model
- Climate change uncertainty
- Apulia region