A model for crop yield and water footprint assessment: Study of maize in the Po valley

Agricultural Systems

Volumn 127, Issue , 2014, Pages 139-149

  Nana, E ^a   Corbari, C ^a   Bocchiola, D ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

Eddy covariance; Remote sensing; Water footprint; Zea Mais L.

Indexed keywords

ASSESSMENT METHOD; BIOMASS; CROP PRODUCTION; CROP YIELD; CROPPING PRACTICE; ECOLOGICAL MODELING; EDDY COVARIANCE; GROWTH RATE; IRRIGATION; MAIZE; MODIS; NUMERICAL MODEL; NUTRIENT DYNAMICS; REMOTE SENSING; SATELLITE IMAGERY; SOIL MOISTURE; WATER FOOTPRINT;

ITALY; PO VALLEY;

ZEA MAYS;

EID: 84899968299     PISSN: 0308521X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agsy.2014.03.006     Document Type: Article

References (69)

1. Adams R.M., Hurd B.H., Lenhart S., Leary N. Effects of global climate change on agriculture: an interpretative review. Clim. Res. 1998, 11:19-30.
2. Addimando, N., 2013. Un modello di stima della produttività dei sistemi pascolivi. Applicazione a tre casi di studio". [Modeling of productivity of pasture systems. Application to three cases study]. Master's thesis. Mat. 770011, Academic year 2012-2013. Tutor, Dr. Daniele Bocchiola. In Italian.
3. Addimando, N., Nana, E., Bocchiola, D., submitted for publication. Modelling pasture dynamics in a Mediterranean environment: a case study in Sardinia region, Italy, ASCE, Journal of Irrigation and Drainage Engineering, November 2013.
4. Aldaya M.M., Hoekstra A.Y. The water needed for Italians to eat pasta and pizza. Agric. Syst. 2010, 103(6):351-360.
5. Allan, T., 1993. Fortunately there are substitutes for water: otherwise our hydropolitical futures would be impossible. In: Paper presented at Conference on Priorities for Water Resources Allocation and Management. Overseas Dev. Admin., London.
6. Anghileri D., Pianosi F., Soncini-Sessa R. A framework for the quantitative assessment of climate change impacts on water-related activities at the basin scale. Hydrol. Earth Syst. Sci. Discuss. 2011, 8:585-617.
7. Barthélemy, F., Renault, D., Wallender W., 1993. Water for a Sustainable Human Nutrition: Inputs and Resources Analysis for Arid Areas. UC Davis Internal Report, 70 p.
8. Bellocchi G., Silvestri N., Mazzoncini M., Menini S. Using the CropSyst model in mountainous rainfed maize under alternative management options. Ital. Agron. J. 2002, 6:43-56.
9. Bocchi S., Castrignanò A. Identification of different potential production areas for corn in Italy through multitemporal yield map analysis. Field Crops Res. 2007, 102(3):185-197.
10. Bocchiola D., Nana E., Soncini A. Impact of climate change scenarios on crop yield and water footprint of maize in the Po valley of Italy. Agric. Water Manage. 2013, 116:50-61.
11. Cho M.A., Skidmore A.C.F., van Wieren S.E., Sobhan I. Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression. Int. J. Appl. Earth Obs. Geoinf. 2007, 9:414-424.
12. Claverie M., Vermote E.F., Weiss M., Baret F., Hagolle O., Demarez V. Validation of coarse spatial resolution LAI and FAPAR time series over cropland in southwest France. Remote Sens. Environ. 2013, 139:216-230.
13. Confalonieri R., Bechini L. A preliminary evaluation of the simulation model CropSyst for alfalfa. Eur. J. Agron. 2004, 21:223-237.
14. Confalonieri R., Acutis M., Gianni Bellocchi G., Donatelli M. Multi-metric evaluation of the models WARM, CropSyst and WOFOST for rice. Ecol. Model. 2009, 220(11):1395-1410.
15. Confalonieri R., Bregaglio S., Rosenmundc A.S., Acutis M., Savin I. A model for simulating the height of rice plants. Eur. J. Agron. 2011, 34:20-25.
16. Corbari C., Masseroni D., Mancini M. Effetto delle correzioni dei dati misurati da stazioni eddy covariance sulla stima dei flussi evapotraspirativi [Effects of the correction of measured data from eddy covariance stations upon evapotraspirative fluxes]. In Italian. Ital. J. Agrometeorol. 2012, 1:35-51.
17. Corbari C., Sobrino J.A., Mancini M., Hidalgo V. Mass and energy flux estimates at different spatial resolutions in a heterogeneous area through a distributed energy/water balance model and remote-sensing data. Int. J. Remote Sens. 2013, 34(9-10):3208-3230.
18. Donatelli M., Stockle C., Ceotto E., Rinaldi M. Evaluation of CropSyst for cropping systems at two locations of northern and southern Italy. Eur. J. Agron. 1997, 6:35-45.
19. Easterling W., Apps M. Assessing the consequences of climate change for food and forest resources: a view from the IPCC. Clim. Change 2005, 70(1-2):165-189.
20. European Union Statistics Office Eurostat, 2012. Agriculture statistics at regional level. http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=agr_r_crops%26lang=en.
21. Fader M., Gerten D., Thammer M., Lotze-Campen H., Lucht W., Cramer W. Internal and external green-blue agricultural water footprints of nations, and related water and land savings through trade. Hydrol. Earth Syst. Sci. 2011, 15:1641-1660.
22. FAO, 2009. Adapting to Climate Change. In Unasylva, 60, (231/232).
23. Fava F., Parolo G., Colombo R., Gusmeroli F., Della Marianna G., Monteiro A.T., Bocchi S. Fine-scale assessment of hay meadow productivity and plant diversity in the European Alps using field spectrometric data. Agric. Ecosyst. Environ. 2010, 137(1-2):151-157.
24. Fensholt R., Sandholt I., Rasmussen M.S. Evaluation of MODIS LAI, fAPAR and the relation between fAPAR, and NDVI in a semi-arid environment using in situ measurements. Remote Sens. Environ. 2004, 91:490-507.
25. Ferrero A. Challenges and opportunities for a sustainable rice production in Europe and Mediterranean area (Preface). Paddy Water Environ, 2006, 4(1):11-12.
26. Foken T. Micrometeorology 2008, 306. Springer, Berlin, ISBN 978 3 540 74665 2.
27. Galelli S., Gandolfi C., Soncini-Sessa R., Agostani D. Building a metamodel of an irrigation district distributed-parameter model. Agric. Water Manag. 2010, 97:187-200.
28. Groppelli B., Soncini A., Bocchiola D., Rosso R. Evaluation of future hydrological cycle under climate change scenarios in a mesoscale Alpine watershed of Italy. NHESS 2011, 1769-1785.
29. Hoekstra, A.Y., 2003a. Virtual water: an introduction. In: Proceedings of the International Expert Meeting on Virtual Water Trade, Delft, The Netherlands, 12-3 December 2002, Value of Water Research Report Series No. 12, UNESCO-IHE, Delft, The Netherlands.
30. Hoekstra, A.Y. (Ed.), 2003b. Virtual Water Trade: Proceedings of the International Expert Meeting on Virtual Water Trade, Delft, The Netherlands, 12-3 December 2002, Value of Water Research Report Series No. 12, UNESCO-IHE, Delft, The Netherlands.
31. Hoekstra A.Y., Chapagain A.K. Globalization of Water: Sharing the Planet's, Freshwater Resources 2008, Blackwell Publishing, Oxford, UK.
32. Hoekstra, A.Y., Hung, P.Q., 2003. Virtual water trade: a quantification of virtual water flows between nations in relation to international crop trade. In: Proceedings of the International Expert Meeting on Virtual Water Trade, Delft, The Netherlands, 12-3 December 2002, Value of Water Research Report Series No. 12, UNESCO-IHE, Delft, The Netherlands.
33. Hoekstra A.Y., Hung P. Globalisation of water resources: international virtual water flows in relation to crop trade. Global Environ. Change 2005, 15:45-56.
34. Knyazikhin Y., Martonchik J.V., Diner D.J., Myneni R.B., Verstraete M., Pinty B., Gobron N. Estimation of vegetation leaf area index and fraction of absorbed photosynthetically active radiation from atmosphere-corrected MISR data. J. Geophys. Res. 1998, 103:32239-32256.
35. Knyazikhin Y., Martonchik J.V., Myneni R.B., Diner D.J., Running S.W. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosyntheticall active radiation from MODIS and MISR data. J. Geophys. Res. 1998, 103:32257-32274.
36. Konar M., Dalin C., Suweis S., Hanasaki N., Rinaldo A., Rodriguez Iturbe I. Water for food: the global virtual water trade network. Water Resour. Res. 2011, 47:W05520. 10.1029/2010WR010307.
37. Lee X., Massman W., Law B. Handbook of Micrometeorology: A Guide for Surface Flux Measurement and Analysis 2004, Kluwer Academic Press, Dordrecht, 250 pp.
38. Masseroni D., Ravazzani G., Corbari C., Mancini M. Turbulance integral length and footprint dimension with reference to experimental data measured over maize cultivation in Po Valley, Italy. Atmosfera 2012, 25:183-198.
39. Mekonnen, M.M., Hoekstra, A.Y., 2010a. The green, blue and grey water footprint of farm animals and animal products. In: Value of Water Research Report Series No. 48, UNESCO-IHE, Delft, The Netherlands. Volume 1: Main, Report, Volume 2: Appendices.
40. Mekonnen M.M., Hoekstra A.Y. A global and high-resolution assessment of the green, blue and grey water footprint of wheat. Hydrol. Earth Syst. Sci. 2010, 14(7):1259-1276.
41. Mekonnen M.M., Hoekstra A.Y. The green, blue and grey water footprint of crops and derived crop products. Hydrol. Earth Syst. Sci. 2011, 15:1577-1600.
42. Merletti, M., 2014. Impronta idrica in agricoltura: il caso del riso in provincia di Pavia, [Water footprint in agriculture: the case of rice in Pavia province]. Master's thesis. Mat. 743852, Academic year 2013-2014. Tutor, Dr. Daniele Bocchiola. In Italian.
43. Myneni R.B., Hoffman S., Knyazikhin Y., Privette J.L., Glassy J., Tian Y., Wang Y., Song X., Zhang Y., Smith G.R., Lotsch A., Friedl M., Morisette J.T., Votava P., Nemani R.R., Running S.W. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens. Environ. 2002, 83:214-231.
44. Nana E., Soncini A., Confortola G., Bocchiola D. Climate change related hazard for maize cropping in the Po valley of Italy. Geophys. Res. Abstracts 2013, 15. EGU2013-7979.
45. Oki, T., Sato, M., Kawamura, A., Miyake, M., Kanae, S., Musiake, K., 2003. Virtual water trade to Japan and in the world. In: Proceedings of the International Expert Meeting on Virtual Water Trade, Delft, The Netherlands, 12-3 December 2002, Value of Water Research Report Series No. 12, UNESCO-IHE, Delft, The Netherlands.
46. Olesen J.E., Bindi M. Consequences of climate change for European agricultural productivity, land use and policy. Eur. J. Agron. 2002, 16:239-262.
47. Olesen J.E., Carter T.R., Diaz-Ambrona C.H., Fronzek S., Heidmann T., Hickler T., Holt T., Minguez M.I., Morales P., Palutikof J.P., Quemada M., Ruiz-Ramos M., Rubæk G.H., Sau F., Smith B., Sykes M.T. Uncertainties in projected impacts of climate change on European agriculture and terrestrial ecosystems based on scenarios from regional climate models. Clim. Change 2007, 81:123-143.
48. Ouda S.A., Khalil F.A., El Afandi G., Ewis M.M. Using CropSyst model to predict Barley yield under climate change conditions in Egypt: I. model calibration and validation under current climate. Afr. J. Sci. Biotechnol. 2010, 4:1-5.
49. Peel M.C., Finlayson B.L., McMahon T.A. Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci. 2007, 11:1633-1644.
50. Richter G.M., Acutis M., Trevisiol P., Latiri K., Confalonieri R. Sensitivity analysis for a complex crop model applied to Durum wheat in the Mediterranean. Eur. J. Agron. 2010, 32(2):127-136.
51. Rosenzweig C., Hillel D. Climate Change and the Global Harvest 1998, Oxford University Press, New York.
52. Rossi S., Rampini A., Bocchi S., Boschetti M. Operational Monitoring of Daily Crop Water Requirements at the Regional Scale with Time Series of Satellite Data. J. Irrig. Drain. Eng.-ASCE 2010, 136(4):225-231.
53. Rost S., Gerten D., Bondeau A., Lucht W., Rohwrer J. Agricultural green and blue water consumption and its influence on the global water system. Water Resour. Res. 2008, 44(W09405). 17 pp.
54. Rulli M.C., Saviori A., D'Odorico P. Global land and water grabbing. Proc. Nat. Acad. Sci. 2013, 110(3):892.
55. Schmidhuber J., Tubiello F.N. Global food security under climate change. PNAS 2007, 104(50):19703-19708.
56. Soncini, A., Bocchiola, D., Castelletti, A., Weber, E., 2011. Lake reservoir management under transient climate change in the Italian Alps. Abstract and poster presentation, EGU, Assembly, 2011, 13, EGU2011-10406-2.
57. Soussana J.F., Graux A.I., Tubiello F.N. The use of modeling for projections of climate change impacts on crops and pastures. J. Exp. Bot. 2010, 61(8):2217-2228.
58. Stöckle C.O., Nelson R. Cropping Systems Simulation Model User's Manual 1999, Washington State University, http://www.sipeaa.it/tools/CropSyst/CropSyst_manual.pdf.
59. Stöckle C.O., Martin S., Campbell G.S. Cropsyst, a cropping systems model: water/nitrogen budgets and crop yield. Agric. Syst. 1994, 46:335-359.
60. Stöckle C., Donatelli M., Roger N. CropSyst, a cropping systems simulation model. Eur. J. Agron. 2003, 18:289-307.
61. Stroppiana D., Boschetti M., Confalonieri R., Bocchi S., Brivio P.A. Evaluation of LAI-2000 for leaf area index monitoring in paddy rice. Field Crops Res. 2006, 99:167-170.
62. Strzepek K., Boehlert B. Competition for water for the food system. Philos. Trans. R. Soc. B 2010, 365:2927-2940.
63. Suàrez Urrutia, J.A., 2010. Validation of leaf area index product from MODIS-15 for rice usinf a soil-leaf-canopy radiative transfer model. A case study in Seville, Spain. Thesis MS Geo-Information Science and Earth Observation for Environmental Modeling and Management, University Twente. Pp 58. Avail: http://www.itc.nl/library/papers_2010/msc/gem/urrutia.pdf.
64. Supit I., van Diepen C.A., de Wit A.J.W., Kabat P., Baruth B., Ludwig F. Recent changes in the climatic yield potential of various crops in Europe. Agric. Syst. 2010, 103:683-694.
65. Tian Y., Woodcock C.E., Wang Y., Privette J.L., Shabanov N.V., Zhou L., Zhang Y., Buermann W., Dong J., Veikkanen B., Hame T., Ozdogan M., Knyazikhin Y., Myneni R.B. Multiscale analysis and validation of the MODIS LAI product: I. Uncertainty assessment. Remote Sens. Environ. 2002, 83:414-430.
66. Torriani D., Calanca P., Lips M., Amman H., Beniston M., Fuhrer J. Regional assessment of climate change impacts on maize productivity and associated production risk in Switzerland. Reg. Environ. Change 2007, 7:209-221.
67. 2 on cropping systems: model predictions at two Italian sites. Eur. J. Agron. 2000, 13:179-189.
68. Tubiello F.N., Soussana J.F., Howden S.M. Crop and pasture response to climate change. PNAS 2007, 104(50):19686-19690.
69. Zimmer, D., Renault, D., 2003. Virtual water in food production and global trade: Review of methodological issues and preliminary results. In: Proceedings of the International Expert Meeting on Virtual Water Trade, Delft, The Netherlands, 12-3 December 2002, Value of Water Research Report Series No. 12, UNESCO-IHE, Delft, The Netherlands.