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Adaptability of global olive cultivars to water availability under future Mediterranean climate

  • S. M. Alfieri
  • M. RiccardiEmail author
  • M. Menenti
  • A. Basile
  • A. Bonfante
  • F. De Lorenzi
Original Article

Abstract

Adaptation to climate change is a major challenge facing the agricultural sector worldwide. Olive (Olea europaea L.) is a global, high value crop currently cultivated in 28 countries worldwide. Global data to assess the vulnerability of the crop to climate variability are scarce, and in some notable cases, such the United Nations Food and Agricutlure Organization database (FAO, 2006), qualitative assessments rather than quantitative indicators are provided. The aim of this study is to demonstrate a new approach to help overcome these constraints toward a globally applicable method to assess the adaptability of olive cultivars. The adaptability of 11 cultivars, widely used in 11 countries worldwide, was studied using a new generic approach based on the evaluation of soil hydrological regime against cultivar-specific hydrological requirements. The approach requires local data, notably on soil hydrological properties, but it is easily transferable to other countries and regions. We applied an agrohydrological model in 60 soil units to determine hydrological indicators both in a reference (1961–1990) and a future (2021–2050) climate case. We compared indicators with cultivar-specific requirements to achieve the target yield; requirements were established using experimental yield response curves. We estimated the probability of adaptation, i.e., the probability that a given cultivar attains the target yield, and we used it to evaluate the cultivar potential distribution in the study area. At the locations where soil hydrological conditions were favorable, the probabilities of adaptation of the cultivars were high in both climate cases. The results show that the area with suitable conditions for the target yield (area of adaptability) decreased under future climate for all the cultivars, with higher reduction for Frantoio and Maiatica and smaller reduction for Itrana, Nocellara, Ascolana, and Kalamata. These cultivars are currently grown in Argentina, United States (US), Australia, France, Greece, and Italy. Our results indicate also that these cultivars require higher available soil water to attain the target yield, i.e., we may expect similar vulnerability in other parts of the world. Based on these findings, we provide some specific recommendations for enrichment of global databases and for further developments of our approach, to increase its potential for global application.

Keywords

Adaptation Agro-hydrological model Climate change Olea europaea L. Yield response curves 

Notes

Acknowledgements

The climatic datasets were produced by the Agenzia Regionale Prevenzione e Ambiente (Arpae – Emilia Romagna) and by the “Research Unit for Climatology and Meteorology applied to Agriculture” (CREA-CMA) within the project AGROSCENARI. The authors are grateful to Dott. Alberto Ziello of the Campania Region SeSIRCA for supplying information on olive groves management in the Valle Telesina; Dott. Riccardo d’Andria, Dr. Antonella Lavini, Dott. Giovanni Morelli, and Dott. Fulvio Fragnito for supplying some cultivar datasets. Thanks are also extended to Mrs. Nadia Orefice for performing soil hydraulic property measurements.

Funding information

The work was carried out within the Italian national project AGROSCENARI funded by the Ministry for Agricultural, Food and Forest Policies (MIPAAF, D.M. 8608/7303/2008).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. Abdel-Razik M (1989) A model of the productivity of olive trees under optional water and nutrient supply in desert conditions. Ecol Model 45:179–204Google Scholar
  2. Alfieri SM, De Lorenzi F, Menenti M (2013) Mapping air temperature using time series analysis of LST: the SINTESI approach. Nonlinear Process Geophys 20:513–527.  https://doi.org/10.5194/npg-20-513-2013, 2013
  3. Aspinwall MJ, Loik ME, Resco de Dios V, Tjoelker MG, Payton PR, Tissue DT (2015) Utilizing intraspecific variation in phenotypic plasticity to bolster agricultural and forest productivity under climate change. Plant, Cell Environ 38:1752–1764Google Scholar
  4. Asseng S, Ewert F, Martre P, Rötter RP, Lobell DB, Cammarano D, Kimball BA, Ottman MJ, Wall GW, White JW, Reynolds MP, Alderman PD, Prasad PVV, Aggarwal PK, Anothai J, Basso B, Biernath C, Challinor AJ, de Sanctis G, Doltra J, Fereres E, Garcia-Vila M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kersebaum KC, Koehler AK, Müller C, Naresh Kumar S, Nendel C, O’Leary G, Olesen JE, Palosuo T, Priesack E, Eyshi Rezaei E, Ruane AC, Semenov MA, Shcherbak I, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Thorburn PJ, Waha K, Wang E, Wallach D, Wolf J, Zhao Z, Zhu Y (2015) Rising temperatures reduce global wheat production. Nat Clim Chang 5:143–147Google Scholar
  5. Avolio E, Orlandi F, Bellecci C, Fornaciari M, Federico S (2012) Assessment of the impact of climate change on the olive flowering in Calabria (southern Italy). Theor Appl Climatol 107:531–540Google Scholar
  6. Bacelar EA, Correia CM, Mountinho-Pereira JM, Goncalves BC, Lopes JI, Torres-Pereira JMG (2004) Sclerophylly and leaf anatomical traits of five field-grown olive cultivars growing under drought conditions. Tree Physiol 24:233–239Google Scholar
  7. Basile A, Coppola A, De Mascellis R, Randazzo L (2006) Scaling approach to deduce field unsaturated hydraulic properties and behavior from laboratory measurements on small cores. Vadose Zone J 5:1005–1016Google Scholar
  8. Bastiaanssen WGM, Allen RG, Droogers P, D’Urso G, Steduto P (2007) Twenty-five years modeling irrigated and drained soils: state of the art. Agric Water Manag 92:111–125Google Scholar
  9. Ben-Asher J, van Dam J, Feddes RA, Jhorar RK (2006) Irrigation of grapevines with saline water. II. Mathematical simulation of vine growth and yield. Agric Water Manag 83:22–29Google Scholar
  10. Berni JAJ, Zarco-Tejada PJ, Sepulcre-Cantó G, Fereres E, Villalobos F (2009) Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sens Environ 113:2380–2388Google Scholar
  11. Bonfante A, Basile A, Langella G, Manna P, Terribile F (2011) A physically oriented approach to analysis and mapping of terroirs. Geoderma 167-168:103–117Google Scholar
  12. Bonfante A, Monaco ASM, De Lorenzi F, Manna P, Basile A, Bouma J (2015) Climate change effects on the suitability of an agricultural area to maize cultivation: application of a new hybrid land evaluation system. Adv Agron 133:33–69Google Scholar
  13. Bonfante A, Alfieri SM, Albrizio R, Basile A, De Mascellis R, Gambuti A, Giorio P, Langella G, Manna P, Monaco E, Moio L, Terribile F (2017) Evaluation of the effects of future climate change on grape quality through a physically based model application: a case study for the Aglianico grapevine in Campania region, Italy. Agric Syst 152:100–109Google Scholar
  14. Bongi G, Palliotti A (1994) Olive. In: Schaffer B, Andresen P (eds) Handbook of environmental physiology of fruit crops, vol 1. CRC, Boca Raton, pp 165–187Google Scholar
  15. Bongi G, Soldatini GF, Hubick KT (1987) Mechanism of photosynthesis in olive tree (Olea europaea L.). Photosynthetica 21:572–578Google Scholar
  16. Bosabalidis AM, Kofidis G (2002) Comparative effects of drought stress on leaf anatomy of two olive cultivars. Plant Sci 163:375–379Google Scholar
  17. Cammalleri C, Ciraolo G, Minacapilli M, Rallo G (2013) Evapotranspiration from an olive orchard using remote sensing-based dual crop coefficient approach. Water Resour Manag 27:4877–4895Google Scholar
  18. Challinor AJ, Watson J, Lobell DB, Howden SM, Smith DR, Chhetri N (2014) A meta-analysis of crop yield under climate change and adaptation. Nat Clim Chang 4:287–291Google Scholar
  19. Chartzoulakis K, Patakas A, Bosabalidis A (1999) Changes in water relations, photosynthesis and leaf anatomy induced by intermittent drought in two olive cultivars. Environ Exp Bot 42:113–120Google Scholar
  20. Connor DJ, Fereres E (2005) The physiology of adaptation and yield expression in olive. Hortic Rev 31:155–229Google Scholar
  21. Correa-Tedesco G, Rousseaux MC, Searles PS (2010) Plant growth and yield responses in olive (Olea europaea) to different irrigation levels in an arid region of Argentina. Agric Water Manag 97:1829–1837Google Scholar
  22. Craufurd PQ, Vadez V, Krishna Jagadish SV, Vara Prasad PV, Zaman-Allah M (2013) Crop science experiments designed to inform crop modeling. Agric For Meteorol 170:8–18Google Scholar
  23. Crescimanno G, Morga F, Ventrella D (2012) Application of the SWAP model to predict impact of climate change on soil water balance in a Sicilian vineyard. Ital J Agron 7(e17):116–123Google Scholar
  24. d’Andria R, Lavini A, Alvino A, Tognetti R (2008) Effects of deficit irrigation on water relations of olive trees (Olea europaea L. cultivars Frantoio and Leccino). Acta Hortic (792):217–223Google Scholar
  25. De Lorenzi F, Alfieri SM, Monaco E, Bonfante A, Basile A, Patanè C, Menenti M (2017) Adaptability to future climate of irrigated crops: the interplay of water management and cultivars responses. A case study on tomato. Biosyst Eng 157:45–62Google Scholar
  26. De Melo-Abreu JP, Barranco D, Cordeiro A, Tous J, Rogado BM, Villalobos FJ (2004) Modelling olive flowering date using chilling for dormancy release and thermal time. Agric For Meteorol 125:117–127Google Scholar
  27. Doorenbos J, Plusje JMGA, Kassam AH, Branscheid V, Bentvelsen CLM (1979) Yield response to water. FAO Irrigation and Drainage Paper 33. Rome: FAOGoogle Scholar
  28. EEA (2010) The European environment—state and outlook 2010: synthesis. European Environment Agency, CopenhagenGoogle Scholar
  29. Ennajeh M, Vadel AM, Cochard H, Khemira H (2010) Comparative impacts of water stress on the leaf anatomy of a drought-resistant and a drought-sensitive olive cultivar. J Hortic Sci Biotechnol 85:289–294Google Scholar
  30. Esposito S (2010) Prime caratterizzazioni agro-climatiche delle aree di studio di AGROSCENARI mediante i dati dei nodi di griglia. AGROSCENARI (Ed.). CREA -CMA, Rome, ItalyGoogle Scholar
  31. Estes LD, Beukes H, Bradley BA, Debats SR, Oppenheimer M, Ruanek AC, Schulze R, Tadross M (2013) Projected climate impacts to South African maize and wheat production in 2055: a comparison of empirical and mechanistic modeling approaches. Glob Chang Biol 19:3762–3774Google Scholar
  32. FAO (2006) Olive Germplasm Database. http://apps3.fao.org/wiews/olive/oliv.jsp. Accessed 1 March 2018
  33. FAO (2018) Food and agriculture data. http://wwwfaoorg/faostat/ Accessed 2 May 2018
  34. Faraloni C, Cutino I, Petruccelli R, Leva AR, Lazzeri S, Torzillo G (2011) Chlorophyll fluorescence technique as a rapid tool for in vitro screening of olive cultivars (Olea europaea L.) tolerant to drought stress. Environ Exp Bot 73:49–56Google Scholar
  35. Feddes RA, Kowalik PJ, Zaradny H (1978) Simulation of field water use and crop yield. Pudoc, WageningenGoogle Scholar
  36. Fernandes-Silva AA, Ferreira TC, Correia CM, Malheiro AC, Villalobos FJ (2010) Influence of different irrigation regimes on crop yield and water use efficiency of olive. Plant Soil 333:35–47Google Scholar
  37. Fernández JE (2014) Understanding olive adaptation to abiotic stresses as a tool to increase crop performance. Environ Exp Bot 103:158–179Google Scholar
  38. Fernández JE, Moreno F (1999) Water use by the olive tree. J Crop Prod 2:101–162Google Scholar
  39. Fernández JE, Torres-Ruiz JM, Diaz-Espejo A, Montero A, Álvarez R, Jiménez MD, Cuerva J, Cuevas MV (2011) Use of maximum trunk diameter measurements to detect water stress in mature ‘Arbequina’ olive trees under deficit irrigation. Agric Water Manag 98:1813–1821Google Scholar
  40. Field CB, Barros VR, Mach KJ, et al (2014) Technical summary. In: Field CB, Barros VR, Dokken DJ et al (eds) Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp. 35–94Google Scholar
  41. Fiorino P (2003) Olea. Trattato di olivicoltura. Edagricole, New Business Media, Milano, IT. ISBN 978-88-506-4938-9Google Scholar
  42. Fujihara Y, Tanaka K, Watanabe T (2008) Assessing the impacts of climate change on the water resources of the Seyhan River Basin in Turkey: use of dynamically downscaled data for hydrologic simulations. J Hydrol 353:33–48Google Scholar
  43. Giorio P, Sorrentino G, d’Andria R (1999) Stomatal behaviour, leaf water status and photosynthetic response in field-grown olive trees under water deficit. Environ Exp Bot 42:95–104Google Scholar
  44. Guerfel M, Boujnah D, Baccouri B, Zarrouk M (2007) Evaluation of morphological and physiological traits for drought tolerance in 12 Tunisian olive varieties (Olea europaea L.). J Agron 6:356–361Google Scholar
  45. Gutierrez AP, Ponti L, Cossu Q (2009) Effects of climate warming on olive and olive fly (Bactrocera oleae (Gmelin)) in California and Italy. Clim Chang 95:195–217Google Scholar
  46. Hargreaves GH, Samani ZA (1985) Reference crop evapotranspiration from temperature. Appl Eng Agric 1:96–99Google Scholar
  47. Hengl T, Heuvelink GB, Stein A (2003) Comparison of kriging with external drift and regression-kriging. Technical note, ITC, NLGoogle Scholar
  48. Iglesias A, Quiroga S, Schlickenrieder J (2010) Climate change and agricultural adaptation: assessing management uncertainty for four crop types in Spain. Clim Res 44:83–94Google Scholar
  49. Iniesta F, Testi L, Orgaz F, Villalobos FJ (2009) The effects of regulated and continuous deficit irrigation on the water use, growth and yield of olive trees. Eur J Agron 30:258–265Google Scholar
  50. Kroes JG, Van Dam JC, Groenendijk P, Hendriks RFA, Jacobs CMJ (2009) SWAP version 3.2. Theory description and user manual. Alterra report 1649(02). Alterra, WageningenGoogle Scholar
  51. Kroes J, Supit I, Van Dam J, Van Walsum P, Mulder M (2017) Impact of capillary rise and recirculation on crop yields. Hydrol Earth Syst Sci Discuss:1–31.  https://doi.org/10.5194/hess-2017-223
  52. Lo Bianco R, Scalisi A (2017) Water relations and carbohydrate partitioning of four greenhouse-grown olive genotypes under long-term drought. Trees 31:717–727Google Scholar
  53. Lobell DB, Field CB, Cahill KN, Bonfils C (2006) Impacts of future climate change on California perennial crop yields: model projections with climate and crop uncertainties. Agric For Meteorol 141:208–218Google Scholar
  54. Mäkinen H, Kaseva J, Virkajärvi P, Kahiluoto H (2017) Shifts in soil–climate combination deserve attention. Agric For Meteorol 234–235:236–246Google Scholar
  55. Maraseni TN, Mushtaq S, Reardon-Smith K (2012) Climate change, water security and the need for integrated policy development: the case of on-farm infrastructure investment in the Australian irrigation sector. Environ Res Lett 7:034006Google Scholar
  56. Martinez-Ferri E, Muriel-Fernandez J, Diaz J (2013) Soil water balance modelling using SWAP: an application for irrigation water management and climate change adaptation in citrus. Outlook Agr 42:93–102Google Scholar
  57. Menenti M, De Lorenzi F, Bonfante A, Cavallaro V, Lavini A, Raccuia A, d’Andria R, Leone A, De Mascellis R (2008) Biodiversity of most important Mediterranean crops: a resource for the adaptation of agriculture to a changing climate. Ital J Agrometeorol 2:22–37Google Scholar
  58. Menenti M, Alfieri SM, Bonfante A, Riccardi M, Basile A, Monaco E, De Michele C, De Lorenzi F (2015) Adaptation of irrigated and rainfed agriculture to climate change: the vulnerability of production systems and the potential of intraspecific biodiversity. Case studies in Italy. In: Leal Filho W (ed) Handbook of climate change adaptation. Springer, Berlin, pp 1381–1421Google Scholar
  59. Minacapilli M, Agnese C, Blanda F, Cammalleri C, Ciraolo G, D’Urso G, Iovino M, Pumo D, Provenzano G, Rallo G (2009) Estimation of actual evapotranspiration of Mediterranean perennial crops by means of remote-sensing based surface energy balance models. Hydrol Earth Syst Sci 13:1061–1074Google Scholar
  60. Ministero dell'Agricoltura e delle Foreste (1990) Analisi climatologica e progettazione della rete agrometereologica nazionale. Nord Italia, Puglia e Sicilia. Ministero dell'Agricoltura e delle Foreste (MAF). Ufficio Centrale di Ecologia Agraria, Roma, pp 1–97Google Scholar
  61. Monaco E, Bonfante A, Alfieri SM, Basile A, Menenti M, De Lorenzi F (2014) Climate change, effective water use for irrigation and adaptability of maize: a case study in southern Italy. Biosyst Eng 128:82–99Google Scholar
  62. Monteith JL (1965) Evaporation and environment. Symp Soc Exp Biol 19:205–234Google Scholar
  63. Moriana A, Orgaz F, Pastor M, Fereres E (2003) Yield responses of a mature olive orchard to water deficits. J Am Soc Hortic Sci 128:425–431Google Scholar
  64. Moriondo M, Stefanini F, Bindi M (2008) Reproduction of olive tree habitat suitability for global change impact assessment. Ecol Model 218:95–109Google Scholar
  65. Moriondo M, Trombi G, Ferrise R, Brandani G, Dibari C, Ammann CM, Lippi MM, Bindi M (2013) Olive trees as bio-indicators of climate evolution in the Mediterranean Basin. Glob Ecol Biogeogr 22:818–833Google Scholar
  66. Moriondo M, Ferrise R, Troimbi G, Brilli L, Dibari C, Bindi M (2015) Modelling olive trees and grapevines in a changing climate. Environ Model Softw 72:387–401Google Scholar
  67. Mualem Y (1976) A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resour Res 12(3):513–522Google Scholar
  68. OLEA Databases (2008) Olive germplasm (Olea europaea L.). doi:  https://doi.org/10.7349/OLEA_databases. http://www.oleadb.it/olivodb.html. Accessed 10 March 2018
  69. Olesen JE, Trnka M, Kersebaum KC, Skjelvåg AO, Seguin B, Peltonen-Sainio P, Rossi F, Kozyra J, Micale F (2011) Impacts and adaptation of European crop production systems to climate change. Eur J Agron 34:96–112Google Scholar
  70. Orlandi F, Garcia-Mozo H, Dhiab AB, Galán C, Msallem M, Romano B, Abichou M, Dominguez-Vilches E, Fornaciari M (2013) Climatic indices in the interpretation of the phenological phases of the olive in Mediterranean areas during its biological cycle. Clim Chang 116:263–284Google Scholar
  71. Osborne C, Chuine I, Viner D, Woodward F (2000) Olive phenology as a sensitive indicator of future climatic warming in the Mediterranean. Plant Cell Environ 23:701–710Google Scholar
  72. Priestley C, Taylor R (1972) On the assessment of surface heat flux and evaporation using large-scale parameters. Mon Weather Rev 100(2):81–92Google Scholar
  73. Rallo G, Agnese C, Blanda F, Minacapilli M, Provenzano G (2010) Agro-hydrological models to schedule irrigation of Mediterranean tree crops. Ital J Agrometeorol 1:11–21Google Scholar
  74. Rallo G, Agnese C, Minacapilli M, Provenzano G (2012) Comparison of SWAP and FAO agro-hydrological models to schedule irrigation of wine grape. J Irrig Drain Eng 138:1–11Google Scholar
  75. Reyer CPO, Leuzinger S, Rammig A, Wolf A, Bartholomeus RP, Bonfante A, de Lorenzi F, Dury M, Gloning P, Abou Jaoudé R, Klein T, Kuster TM, Martins M, Niedrist G, Riccardi M, Wohlfahrt G, de Angelis P, de Dato G, François L, Menzel A, Pereira M (2013) A plant’s perspective of extremes: terrestrial plant responses to changing climatic variability. Glob Chang Biol 19:75–89Google Scholar
  76. Reynolds WD, Elrick DE (2002) Pressure infiltrometer. In: Dane JH, Topp GC (eds) Methods of soil analysis. Soil Science Society of America, Madison, pp 826–836Google Scholar
  77. Ritchie JT (1972) Model for predicting evaporation from a row crop with incomplete cover. Water Resour Res 8:1204–1213Google Scholar
  78. Rötter RP, Höhn J, Trnka M, Fronzek S, Carter TR, Kahiluoto H (2013) Modelling shifts in agroclimate and crop cultivar response under climate change. Ecol Evol 3:4197–4214Google Scholar
  79. Sofo A (2011) Drought stress tolerance and photoprotection in two varieties of olive tree. Acta Agric Scand Sect B Soil Plant Sci 61:711–720Google Scholar
  80. Sofo A, Manfreda S, Fiorentino M, Dichio B, Xiloyannis C (2008) The olive tree: a paradigm for drought tolerance in Mediterranean climates. Hydrol Earth Syst Sci 12:293–301Google Scholar
  81. Tanasijevic L, Todorovic M, Pereira LS, Lionello P (2014) Impacts of climate change on olive crop evapotranspiration and irrigation requirements in the Mediterranean region. Agric Water Manag 144:54–68Google Scholar
  82. Terribile F, Di Gennaro A, De Mascellis R (1996) Carta dei suoli della Valle Telesina. Progetto U.O.T. Relazione finale convenzione CNR-ISPAIM-Regione Campania Assessorato alla AgricolturaGoogle Scholar
  83. Terribile F, Agrillo A, Bonfante A, Buscemi G, Colandrea M, D’Antonio A, de Mascellis R, de Michele C, Langella G, Manna P, Marotta L, Mileti FA, Minieri L, Orefice N, Valentini S, Vingiani S, Basile A (2015) A web-based spatial decision supporting system for land management and soil conservation. Solid Earth 6:903–928Google Scholar
  84. Tognetti R, Sebastiani L, Vitagliano C, Raschi A, Minnocci A (2001) Responses of two olive tree (Olea europaea L.) cultivars to elevated CO2 concentration in the field. Photosynthetica 39:403–410Google Scholar
  85. Tognetti R, d’Andria R, Morelli G, Calandrelli D, Fragnito F (2004) Irrigation effects on daily and seasonal variations of trunk sap flow and leaf water relations in olive trees. Plant Soil 263:249–264Google Scholar
  86. Tognetti R, d’Andria R, Lavini A, Morelli G (2006) The effect of deficit irrigation on crop yield and vegetative development of Olea europaea L. (cvs. Frantoio and Leccino). Eur J Agron 25:356–364Google Scholar
  87. Tognetti R, Giovannelli A, Lavini A, Morelli G, Fragnito F, d’Andria R (2009) Assessing environmental controls over conductances through the soil–plant–atmosphere continuum in an experimental olive tree plantation of southern Italy. Agric For Meteorol 149:1229–1243Google Scholar
  88. Tomozeiu R, Cacciamani C, Pavan V, Morgillo A, Busuioc A (2007) Climate change scenarios for surface temperature in Emilia-Romagna (Italy) obtained using statistical downscaling models. Theor Appl Climatol 90(1–2):25–47Google Scholar
  89. Tomozeiu R, Agrillo G, Cacciamani C, Pavan V (2013) Statistically downscaled climate change projections of surface temperature over northern Italy for the periods 2021–2050 and 2070–2099. Nat Hazards:1–26Google Scholar
  90. Tugendhaft Y, Eppel A, Kerem Z, Barazani O, Ben-Gal A, Kadereit JW, Dag A (2016) Drought tolerance of three olive cultivars alternatively selected for rain fed or intensive cultivation. Sci Hortic 199:158–162Google Scholar
  91. Van der Linden P, Mitchell J F B, editors (2009) ENSEMBLES: climate change and its impacts: summary of research and results from the ENSEMBLES project. Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK 160Google Scholar
  92. Van Genuchten MT (1980) A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44(5):892–898Google Scholar
  93. Ventrella D, Charfeddine M, Moriondo M, Rinaldi M, Bindi M (2012) Agronomic adaptation strategies under climate change for winter durum wheat and tomato in southern Italy: irrigation and nitrogen fertilization. Reg Environ Chang 12:407–419Google Scholar
  94. Villalobos FJ, Testi L, Hidalgo J, Pastor M, Orgaz F (2006) Modelling potential growth and yield of olive (Olea europaea L.) canopies. Eur J Agron 24:296–303Google Scholar
  95. Villani G, Tomei F, Tomozeiu R, Marletto V (2011) Climatic scenarios and their impacts on irrigated agriculture in Emilia-Romagna, Italy. Ital J Agrometeorol 16(1):5–16Google Scholar
  96. Viola F, Noto LV, Cannarozzo M, La Loggia G, Porporato A (2012) Olive yield as a function of soil moisture dynamics. Ecohydrology 5:99–107Google Scholar
  97. Viola F, Caracciolo D, Pumo D, Noto LV, La Loggia G (2014) Future climate forcings and olive yield in a Mediterranean orchard. Water 6:1562–1580Google Scholar
  98. Wackernagel H (2003) Multivariate geostatistics. Springer, Berlin, p 388Google Scholar
  99. Way DA, Oren R, Kroner Y (2015) The space-time continuum: the effects of elevated CO2 and temperature on trees and the importance of scaling. Plant Cell Environ 38:991–1007Google Scholar
  100. White JW, Hoogenboom G, Kimball BA, Wall GW (2011) Methodologies for simulating impacts of climate change on crop production. Field Crop Res 124:357–368Google Scholar
  101. Wind GP (1966) Capillary conductivity data estimated by a simple method. In: Water in the unsaturated zone. IASH, Proceedings of the Wageningen Symposium, Wageningen, NL, pp 181–191Google Scholar
  102. Wösten JHM, Lilly A, Nemes A, Le Bas C (1998) Using existing soil data to derive hydraulic parameters for simulation models in environmental studies and in land use planning. Report 156. DLO-Staring Centre, Wageningen, NLGoogle Scholar
  103. Xiloyannis C, Palese AM (2002) Efficienza dell’uso dell’acqua nella coltivazione dell’olivo. International course “Gestione dell’acqua e del territorio per un’olivicoltura sostenibile”. Napoli (IT), 24–28 September 2001, pp. 121–137Google Scholar
  104. Zupanc V, Pintar M, Kajfez-Bogataj L, Bergant K (2007) Impact estimation of climate change on the irrigation demand for fruit growing in western Slovenia. Die Bodenkultur 83:1–4Google Scholar

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Authors and Affiliations

  1. 1.Institute for Mediterranean Agricultural and Forest Systems (ISAFoM)National Research Council (CNR)ErcolanoItaly
  2. 2.Department of Geoscience and Remote SensingDelft University of TechnologyDelftThe Netherlands
  3. 3.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina

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