Predicting impacts of climate change on evapotranspiration and soil moisture for a site with subhumid climate

Baumer, O.W., 1992. Predicting unsaturated hydraulic parameters. In: van Genuchten, M.Th., Leij, F.J. (Eds.): Proceedings of the international workshop on Indirect methods for estimating the hydraulic properties of unsaturated soils. Riverside, California, October 11–13, 1989, 341–354.Search in Google Scholar

Calanca, P.L., Roesch, A., Jasper, K., Wild, M., 2006. Global warming and the summertime evapotranspiration regime of the Alpine region. Climatic Change, 79, 65–78.10.1007/s10584-006-9103-9Search in Google Scholar

Canadell, J., Jackson, R.B., Ehleringer, J.B., Mooney, H.A., Sala, O.E., Schulze, E.-D., 1996. Oecologia, 108, 4, 583–595. https://doi.org/10.1007/BF0032903010.1007/BF00329030Open DOISearch in Google Scholar

Christensen, J.H., Christensen, O.B., Lopez, P., Van Meijgaard, E., Botzet, M., 1996. The HIRHAM4 regional atmospheric climate model, DMI Technical Report 96-4. Available from DMI, Lyngbyvej 100, Copenhagen Ø.Search in Google Scholar

Dingman, L.S., 2002. Physical Hydrology. Prentice-Hall, New Jersey, USA, 646 p.Search in Google Scholar

Dobor, L., Barcza, Z., Hlásny, T., Havasi, Á., 2013. Creation of the FORESEE database to support climate change related impact studies. International Scientific Conference for PhD Students.Search in Google Scholar

Eitzinger, J., Štastná, M., Žalud, Z., Dubrovsky, M., 2003. A simulation study of the effect of soil water balance and water stress on winter wheat production under different climate change scenarios. Agricultural Water Management, 61, 195–217.10.1016/S0378-3774(03)00024-6Search in Google Scholar

Eitzinger, J., Thaler, S., Schmid, E., Strauss, F., Ferrise, R., Moriondo, M., Bindi, M., Palosuo, T., Rötter, R., Kersebaum, K.C., Olesen, J.E., Patil, R.H., Şaylan, L., Çaldaģcedil; Çaylak, O., 2013. Sensitivities of crop models to extreme weather conditions during flowering period demonstrated for maize and winter wheat in Austria. The Journal of Agricultural Science, 151, 6, 813–835. DOI: 10.1017/S0021859612000779.10.1017/S0021859612000779Open DOISearch in Google Scholar

Götz, B., Hadatsch, S., Kratochvil, R., Vabitsch, A., Freyer, B., 2000. Biologische Landwirtschaft im Marchfeld. Potenziale zur Entlastung des Natur- und Landschaftshaushaltes. Umweltbundesamt GmbH, Vienna.Search in Google Scholar

Gray, S.B., Bradya, S.M., 2016. Plant developmental responses to climate change. Developmental Biology, 419, 64–77. https://doi.org/10.1016/j.ydbio.2016.07.02310.1016/j.ydbio.2016.07.02327521050Open DOISearch in Google Scholar

Hamon, W.R., 1964. Computation of direct runoff amounts from storm rainfall. Intl. Assoc. Scientific Hydrol. Publ., 63, 52–62.Search in Google Scholar

Herceg, A., Kalicz, P., Kisfaludi, B., Gribovszki, Z., 2016. A monthly-step water balance model to evaluate the hydrological effects of climate change on a regional scale for irrigation design. Slovak Journal of Civil Engineering, 24, 4, 27–35. DOI: 10.1515/sjce-2016-0019.10.1515/sjce-2016-0019Open DOISearch in Google Scholar

Heinrich, G., Gobiet, A., 2012. The future of dry and wet spells in Europe: A comprehensive study based on the ENSEMBLES regional climate models. Int. J. Climatol., 32, 1951–1970.10.1002/joc.2421Search in Google Scholar

IPCC, 2007. Climate change 2007. Impacts, adaptation and vulnerability. In: Parry, M.L., Canziani, O.F., Palutikof, J.P., van der Linden, P.J., Hanson, C.E., (Eds.): Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK and New York, NY, USA, 976 p.Search in Google Scholar

IPCC, 2014. Climate Change 2014. Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, Pachauri R.K., Meyer L.A. (Eds.)]. IPCC, Geneva, Switzerland, 151 p.Search in Google Scholar

Jacob, D., 2001. A note to the simulation of the annual and inter-annual variability of the water budget over the Baltic Sea drainage basin. Meteorol. Atmos. Phys., 77, 61–73.10.1007/s007030170017Search in Google Scholar

Jones, C.G., Ullerstig, A., Willen, U., Hansson, U., 2004. The Rossby Centre regional atmospheric climate model (RCA). Part I: model climatology and performance characteristics for present climate over Europe. Ambio, 33, 4–5, 199–210.10.1579/0044-7447-33.4.199Search in Google Scholar

Jungvist, G., Oni, S.K., Teutschbein, C., Futter, M.N., 2014. Effect of climate change on soil temperature in Swedish boreal forests. PLoS One, 9, 4, e93957. https://doi.org/10.1371/journal.pone.009395710.1371/journal.pone.0093957399156924747938Search in Google Scholar

Keables, M.J., Mehta, S., 2010. A soil water climatology for Kansas. Great Plains Research, 20, 2, 229–248.Search in Google Scholar

Lenderink, G., Buishand, A., Van Deursen, W., 2007. Estimates of future discharges of the river Rhine using two scenario methodologies: direct versus delta approach. Hydrol. Earth Syst. Sci., 11, 1145–1159. DOI: 10.5194/hess-11-1145-2007.10.5194/hess-11-1145-2007Open DOISearch in Google Scholar

van der Linden, P., Mitchell, J.F.B. (Eds.), 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.Search in Google Scholar

Lutz, J.A., Wagtendonk, J.W., Franklin, J.F., 2010. Climatic water deficit, tree species ranges, and climate change in Yosemite National Park. Journal of Biogeography, 37, 936–950.10.1111/j.1365-2699.2009.02268.xSearch in Google Scholar

Mohammed, R.K., Mamoru, I., Motoyoshi, I., 2012. Modeling of seasonal water balance for crop production in Bangladesh with implications for future projection. Ital. J. Agron., 7, 2, 146–153.10.4081/ija.2012.e21Search in Google Scholar

Muggeo, V.M.R., 2008. Segmented: An R package to fit regression models with broken-line relationships. R News, The Newsletter of the R Project, 8, 1, 20–25.Search in Google Scholar

Nachtnebel, H.P, Dokulil, M., Kuhn, M., Loiskandl, W., Sailer, R., Schöner, W., 2014. Influence of climate change on the hydrosphere. In: Austrian Panel on Climate Change (APCC) Austrian Assessment Report Climate Change 2014 (AAR14). Austrian Academy of Sciences Press, Vienna, pp. 411–466.Search in Google Scholar

Neuwirth, F., Mottl, W., 1983. Errichtung einer Lysimeteranlage an der agrar-meteorologischen Station in Groß-Enzersdorf. Wetter und Leben, 35, 48–53.Search in Google Scholar

Nolz, R., Kammerer, G., Cepuder, P., 2013a. Interpretation of lysimeter weighing data affected by wind. J. Plant Nutr. Soil Sci., 176, 200–208.10.1002/jpln.201200342Search in Google Scholar

Nolz, R., Kammerer, G., Cepuder, P., 2013b. Improving interpretation of lysimeter weighing data. Die Bodenkultur: Journal for Land Management, Food and Environment 64, 27–35.Search in Google Scholar

Nolz, R., Cepuder, P., Kammerer, G., 2014. Determining soil water-balance components using an irrigated grass lysimeter in NE Austria. J. Plant Nutr. Soil Sci., 177, 237–244.10.1002/jpln.201300335Search in Google Scholar

Nolz, R., Cepuder, P., Eitzinger, J., 2016. Comparison of lysimeter based and calculated ASCE reference evapotranspiration in a sub-humid climate. Theor. Appl. Climatol., 124, 1, 315–324.10.1007/s00704-015-1417-ySearch in Google Scholar

Rao, L.Y., Sun, G., Ford, C.R., Vose, J.M., 2011. Modeling potential evapotranspiration of two forested watershed in the southern appalachians. Trans. ASABE, 54, 6, 2067–2078.10.13031/2013.40666Search in Google Scholar

R Core Team, 2012. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/.Search in Google Scholar

Remrová, M., Císlerová, M., 2010. Analysis of climate change effects on evapotranspiration in the watershed Uhlířská in the Jizera mountains. Soil & Water Research, 5, 1, 28–38.10.17221/5/2009-SWRSearch in Google Scholar

Strauss, F., Schmid, E., Moltchanova, E., Formayer, H., Wang, X., 2012. Modeling climate change and biophysical impacts of crop production in the Austrian Marchfeld Region. Climate Change, 111, 641. https://doi.org/10.1007/s10584-011-0171-010.1007/s10584-011-0171-0Open DOISearch in Google Scholar

Sun, G.K., Alstad, J., Chen, S., Chen, C.R., Ford, G., Lin, C., Liu, N., Lu, S.G., McNulty, H., Miao, A., Noormets, J.M., Vose, B., Wilske, M., Zeppel, Y., Zhang, Z., 2010. A general projective model for estimating monthly ecosystem evapotranspiration. Ecohydrol., 4, 2, 245–255.10.1002/eco.194Search in Google Scholar

Thaler, S., Eitzinger, J., Trnka, M., Dubrovsky, M., 2012. Impacts of climate change and alternative adaptation options on winter wheat yield and water productivity in a dry climate in Central Europe. The Journal of Agricultural Science, 150, 5, 537–555. DOI: 10.1017/S0021859612000093.10.1017/S0021859612000093Open DOISearch in Google Scholar

Thornthwaite, C.W., Mather, J.R., 1955. The Water Balance. Drexel Institute of Technology, Climatological Laboratory Publication 8. Philadelphia, USA.Search in Google Scholar

Zamfir, R.H.C., 2014. The impact of climate changes on water balance from western Romania using computer tools. In: Niola, V. (Ed.): Recent Advances in Energy, Environment, Biology and Ecology. World Scientific and Engineering Academy and Society. ISBN: 978-960-474-358-2.Search in Google Scholar

Zheng, D., Hunt, E.R., Running, S.W., 1993. A daily soil temperature model based on air temperature and precipitation for continental applications. Clim. Res., 2, 183–191. DOI: 10.3354/cr002183.10.3354/cr002183Open DOISearch in Google Scholar