Shallow groundwater dynamics in the Pampas: Climate, landscape and crop choice effects

Agricultural Water Management

Volumn 163, Issue , 2016, Pages 159-168

  Mercau, Jorge L ^a,b   Nosetto, Marcelo D ^a   Bert, Federico ^c   Giménez, Raúl ^a   Jobbágy, Esteban G ^a  

^a UNIVERSIDAD NACIONAL DE SAN LUIS   (Argentina)

^b INTA (National Institute of Agricultural Technology) San Luis   (Argentina)

^c UNIVERSIDAD DE BUENOS AIRES   (Argentina)

Author keywords

Annual crops; Argentina; Ecohydrology; Farming; Water table depth

Indexed keywords

CROPS; DYNAMICS; EVAPOTRANSPIRATION; FLOODS; GROUNDWATER RESOURCES; METEOROLOGY; PRECIPITATION (METEOROLOGY); REMOTE SENSING; TRANSPIRATION; WATER RESOURCES;

ARGENTINA; CLIMATE FLUCTUATIONS; CROP EVAPOTRANSPIRATION; ECO-HYDROLOGY; EXTREME PRECIPITATION; FARMING; WATER TABLE DEPTHS; WATER TABLE FLUCTUATIONS;

GROUNDWATER;

ARABLE FARMING; CEREAL; CLIMATE CHANGE; COVER CROP; CROP ROTATION; DROUGHT STRESS; ECOHYDROLOGY; EVAPOTRANSPIRATION; FLOODING; GROWING SEASON; PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; SEASONAL VARIATION; SHALLOW WATER; SOIL SURFACE; WATER DEPTH; WATER TABLE; WATERLOGGING;

ARGENTINA; PAMPAS;

GLYCINE MAX; TRITICUM AESTIVUM; ZEA MAYS;

EID: 84942636321     PISSN: 03783774     EISSN: 18732283     Source Type: Journal    
DOI: 10.1016/j.agwat.2015.09.013     Document Type: Article

References (51)

1. Allen R.G., Pereira L.S., Raes D., Smith M. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56 1998, 300:6541. FAO, Rome.
2. Aragón R., Jobbágy E., Viglizzo E. Surface and groundwater dynamics in the sedimentary plains of the Western Pampas (Argentina). Ecohydrology 2011, 4:433-447.
3. Ayars J.E., Christen E.W., Soppe R.W., Meyer W. The resource potential of in-situ shallow ground water use in irrigated agriculture: a review. Irrig. Sci. 2006, 24:147-160.
4. Black A., Brown P., Halvorson A., Siddoway F. Dryland cropping strategies for efficient water-use to control saline seeps in the northern Great Plains, USA. Agric. Water Manage. 1981, 4:295-311.
5. Boulanger J.-P., Leloup J., Penalba O., Rusticucci M., Lafon F., Vargas W. Observed precipitation in the Paraná-Plata hydrological basin: long-term trends, extreme conditions and ENSO teleconnections. Climate Dyn. 2005, 24:393-413.
6. Calviño P.A., Monzón J.P. Farming Systems of Argentina: Yield Constraints and Risk Management, Crop Physiology: Applications for Genetic Improvement and Agronomy 2009, Elsevier Academic Press, San Diego, California.
7. Cao X., Chen J., Matsushita B., Imura H. Developing a MODIS-based index to discriminate dead fuel from photosynthetic vegetation and soil background in the Asian steppe area. Int. J. Remote Sens. 2010, 31:1589-1604.
8. Caviglia O.P., Andrade F.H. Sustainable intensification of agriculture in the Argentinean pampas: Capture and use efficiency of environmental resources. Am. J. Plant Sci. Biotechnol. 2010, 1.
9. Caviglia O.P., Sadras V.O., Andrade F.H. Intensification of agriculture in the south-eastern Pampas: I. Capture and efficiency in the use of water and radiation in double-cropped wheat-soybean. Field Crops Res. 2004, 87:117-129.
10. Dardanelli J.L., Bachmeier O.A., Sereno R., Gil R. Rooting depth and soil water extraction patterns of different crops in a silty loam Haplustoll. Field Crops Res. 1997, 54:29-38.
11. Dardanelli J.L., Severina I., Andriani J.M. Funcionalidad de Raíces y Agua Del Subsuelo. Su rol en la Optimización Del Riego Suplementario. Seminario Internacional Potencial del Riego Extensivo en Cultivos y Pasturas. 1. 2010 08 17-18, 17 y 18 de Agosto de 2010 2010, Paysandú, Uruguay, UY.
12. de la Vega A.J., Chapman S.C., Hall A.J. Genotype by environment interaction and indirect selection for yield in sunflower: I. Two-mode pattern analysis of oil and biomass yield across environments in Argentina. Field Crops Res. 2001, 72:17-38.
13. Fan Y., Li H., Miguez-Macho G. Global patterns of groundwater table depth. Science 2013, 339:940-943.
14. Florio E., Mercau J., Jobbágy E., Nosetto M. Interactive effects of water-table depth, rainfall variation, and sowing date on maize production in the Western Pampas. Agric. Water Manage. 2014, 146:75-83.
15. Frazier P.S., Page K.J. Water body detection and delineation with Landsat TM data. Photogramm. Eng. Remote Sens. 2000, 66:1461-1468.
16. García P., Menéndez A., Lopez Laxagüe J., Bert F., Podestá G., Jobbágy E. Caracterización de efectos espaciales en la napa debido a distintos usos del suelo en cuencas de llanura. 2do Congreso Internacional de Hidrología de Llanuras 2014.
17. George R., McFarlane D., Nulsen B. Salinity threatens the viability of agriculture and ecosystems in Western Australia. Hydrogeol. J. 1997, 5:6-21.
18. Gitelson A.A. Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation. J. Plant Physiol. 2004, 161:165-173.
19. Gitelson A.A. Remote estimation of crop fractional vegetation cover: the use of noise equivalent as an indicator of performance of vegetation indices. Int. J. Remote Sens. 2013, 34:6054-6066.
20. Gleeson T., Marklund L., Smith L., Manning A.H. Classifying the water table at regional to continental scales. Geophys. Res. Lett. 2011, 38.
21. Goddard L., Mason S.J., Zebiak S.E., Ropelewski C.F., Basher R., Cane M.A. Current approaches to seasonal-to-interannual climate predictions. Int. J. Climatol. 2001, 21:1111-1152.
22. Hall A.J., Rebella C.M., Ghersa C.M., Culot J.P. Field-Crop Systems of the Pampas 1992, Ecosystems of the World, The Netherlands.
23. Hsiao T.C., Heng L., Steduto P., Rojas-Lara B., Raes D., Fereres E. AquaCrop-the FAO crop model to simulate yield response to water: III: parameterization and testing for maize. Agron. J. 2009, 101:448-459.
24. INTA Mapa de Suelos de la Provincia de Buenos Aires. Escala 1:500000 1989, CIRN, Instituto de Evaluación de Tierras, Castelar.
25. Jobbágy E.G., Jackson R.B. Groundwater and soil chemical changes under phreatophytic tree plantations. J. Geophys. Res.: Biogeosci. (2005-2012) 2007, 112.
26. Jobbágy E.G., Nosetto M.D., Santoni C.S., Baldi G. El desafío ecohidrológico de las transiciones entre sistemas leñosos y herbáceos en la llanura Chaco-Pampeana. Ecol. Aust. 2008, 18:305-322.
27. Johnston R.M., Barson M.M. Remote sensing of Australian wetlands: an evaluation of Landsat TM data for inventory and classification. Mar. Freshwater Res. 1993, 44:235-252.
28. Kang S., Zhang F., Hu X., Jerie P., Zhang L. Effects of shallow water table on capillary contribution evapotranspiration, and crop coefficient of maize and winter wheat in a semi-arid region. Aust. J. Agric. Res. 2001, 52:317-327.
29. Keating B.A., Gaydon D., Huth N., Probert M.E., Verburg K., Smith C., Bond W. Use of modelling to explore the water balance of dryland farming systems in the Murray-Darling Basin, Australia. Eur. J. Agron. 2002, 18:159-169.
30. Kuppel S., Houspanossian J., Nosetto M.D., Jobbágy E.G. What does it take to flood the Pampas? Lessons from a decade of strong hydrological fluctuations. Water Resour. Res. 2015, 51:2937-2950.
31. Lizaso J., Batchelor W., Westgate M. A leaf area model to simulate cultivar-specific expansion and senescence of maize leaves. Field Crops Res. 2003, 80:1-17.
32. Menéndez, A.N., Badano, N., Lecertua, E., Re, F., Re, M., 2012. Evaluación de las Inundaciones y las Obras de Drenaje en la Cuenca del Salado (Prov. Buenos Aires) mediante Modelación Numérica. Proyecto LHA 331. Informe LHA 01-331-12, Instituto Nacional del Agua. Subsecretaria de Recursos Hídricos. Secretaría de Obras Públicas. República Argentina.
33. Mercau J., Jobbagy E., Viglizzo E., Menendez A., Di Bella C., Bert F., Portela S., Schiebber E.F., Florio E., Gimenez R., García P., Murray F. Sequía e inundación en la hiperllanura pampeana. Una mirada desde el lote al municipio. Agron. Ambiente 2013, 33:71-78.
34. Mercau J.L., Dardanelli J.L., Collino D.J., Andriani J.M., Irigoyen A., Satorre E.H. Predicting on-farm soybean yields in the pampas using CROPGRO-soybean. Field Crops Res. 2007, 100:200-209.
35. Merrill S.D., Tanaka D.L., Krupinsky J.M., Liebig M.A., Hanson J.D. Soil water depletion and recharge under ten crop species and applications to the principles of dynamic cropping systems. Agron. J. 2007, 99:931-938.
36. Miller M.R., Brown P., Donovan J., Bergatino R., Sonderegger J., Schmidt F. Saline seep development and control in the North American Great Plains-hydrogeological aspects. Agric. Water Manage. 1981, 4:115-141.
37. Moncaut C.A. Inundaciones y Sequías Con Raíces Añejas en la Pampa Bonaerense 2001, El Aljibe, City Bell, Buenos Aires, Argentina.
38. Montgomery D.C. Design and Analysis of Experiments 2008, John Wiley & Sons.
39. Monzon J., Mercau J., Andrade J., Caviglia O., Cerrudo A., Cirilo A., Vega C., Andrade F., Calviño P. Maize-soybean intensification alternatives for the Pampas. Field Crops Res. 2014, 162:48-59.
40. Mueller L., Behrendt A., Schalitz G., Schindler U. Above ground biomass and water use efficiency of crops at shallow water tables in a temperate climate. Agric. Water Manage. 2005, 75:117-136.
41. Nosetto M., Acosta A., Jayawickreme D., Ballesteros S., Jackson R., Jobbágy E. Land-use and topography shape soil and groundwater salinity in central Argentina. Agric. Water Manage. 2013, 129:120-129.
42. Nosetto M., Jobbágy E., Brizuela A., Jackson R. The hydrologic consequences of land cover change in central Argentina. Agric. Ecosyst. Environ. 2012, 154:2-11.
43. Nosetto M., Jobbágy E., Jackson R., Sznaider G. Reciprocal influence of crops and shallow ground water in sandy landscapes of the Inland Pampas. Field Crops Res. 2009, 113:138-148.
44. Pannell D.J., Ewing M.A. Managing secondary dryland salinity: options and challenges. Agric. Water Manage. 2006, 80:41-56.
45. Paruelo J.M., Guerschman J.P., Verón S.R. Expansión agrícola y cambios en el uso del suelo. Ciencia Hoy 2005, 15:14-23.
46. Portela S.I., Andriulo A.E., Jobbágy E.G., Sasal M.C. Water and nitrate exchange between cultivated ecosystems and groundwater in the Rolling Pampas. Agric. Ecosyst. Environ. 2009, 134:277-286.
47. Raes D., Steduto P., Hsiao T.C., Fereres E. AquaCrop the FAO crop model to simulate yield response to water: II: main algorithms and software description. Agron. J. 2009, 101:438-447.
48. Ritchie, J., Crum, J., 1989. Converting soil survey characterization data into IBSNAT crop model input.
49. Ritchie J.T. Model for predicting evaporation from a row crop with incomplete cover. Water Resour. Res. 1972, 8:1204-1213.
50. Rusticucci M., Penalba O. Interdecadal changes in the precipitation seasonal cycle over Southern South America and their relationship with surface temperature. Climate Res. 2000, 16:1-15.
51. Sadras V.O., Roget D.K. Production and environmental aspects of cropping intensification in a semiarid environment of southeastern Australia. Agron. J. 2004, 96:236-246.