Abstract
The hydrological variable evapotranspiration (ET) is challenging to estimate because it cannot be measured directly in natural environments (except in small plots). The uncertainties associated with the models used for its prediction have increased under climate change conditions. We studied the influence of stomatal resistance on ET estimates using the Penman-Monteith method as projected by three general circulation models in two emission scenarios (RCP4.5 and RCP8.5) for future climates throughout the twenty-first century (2010–2039, 2040–2069, and 2070–2099). We also investigated the probable ET rate changes in relation to the current (30 years average, 1980–2009) climate conditions for the Paraná state in the southern region of Brazil. The results were regionalized to help policymakers assess climate change impacts and design adaptation measures. ET increases of up to 15% were found in future climate conditions, which may lead to a significant increase in the water demand for agricultural crops. However, we believe that plant morphophysiological changes may occur under atmospheric CO2 enrichment conditions and that a possible reduction in stomatal conductance will result in lower ET increases than those obtained with the traditional Penman-Monteith method. When considering future climate scenarios, we propose the equation be adjusted to consider stomatal resistance as a function of CO2 concentrations.
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References
Allen LH, Jones PH, Jones JW (1985) Rising atmospheric CO2 and evapotranspiration. ASAE, St. Joseph, pp 13–27
Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. FAO, Rome
Ambrizzi T, Rocha RP da, Marengo JA, et al (2007) Cenários regionalizados de clima no Brasil e América do Sul para o Século XXI: Projeções de clima futuro usando três modelos regionais - Relatório no3
ANA (2015) Agência Nacional de Águas. Conjuntura dos recursos hídricos no Brasil, Brasília
Assad ED, Pinto HS, Zullo J, Helminsk Ávila AM (2004) Climatic changes impact in agroclimatic zonning of coffee in Brazil. Pesqui Agropecu Bras 39:1057–1064. https://doi.org/10.1590/S0100-204X2004001100001
Bender FD (2017) Mudanças climáticas e seus impactos na produtividade da cultura de milho e estratétigas de manejo para minimização de perdas em diferentes regiões brasileiras. Universidade de São Paulo, Escola Superior de Agricultura Luiz de Queiroz
Bender FD, Sentelhas PC (2018) Solar radiation models and gridded databases to fill gaps in weather series and to project climate change in Brazil. Adv Meteorol:1–15. https://doi.org/10.1155/2018/6204382
Chun JA, Wang Q, Timlin D et al (2011) Effect of elevated carbon dioxide and water stress on gas exchange and water use efficiency in corn. Agric For Meteorol 151:378–384. https://doi.org/10.1016/j.agrformet.2010.11.015
Cleverly J, Chen C, Boulain N et al (2013) Aerodynamic resistance and Penman–Monteith evapotranspiration over a seasonally two-layered canopy in semiarid central Australia. J Hydrometeorol 14:1562–1570. https://doi.org/10.1175/JHM-D-13-080.1
Collins WJ, Bellouin N, Doutriaux-Boucher M et al (2011) Development and evaluation of an earth-system model – HadGEM2. Geosci Model Dev Discuss 4:997–1062. https://doi.org/10.5194/gmdd-4-997-2011
CONAB (2017) Companhia Nacional de Abastecimento. Acompanhamento da safra brasileira de cana-de-açúcar. http://www.conab.gov.br. Accessed 10 Feb 2017
Costa MH, Botta A, Cardille JA (2003) Effects of large-scale changes in land cover on the discharge of the Tocantins River, southeastern Amazonia. J Hydrol 283:206–217. https://doi.org/10.1016/S0022-1694(03)00267-1
Cunha DA, Coelho AB, Féres JG, Braga MJ (2014) Effects of climate change on irrigation adoption in Brazil. Acta Sci - Agron 36:1–9. https://doi.org/10.4025/actasciagron.v36i1.15375
de Boer HJ, Lammertsma EI, Wagner-Cremer F, Dilcher DL, Wassen MJ, Dekker SC (2011) Climate forcing due to optimization of maximal leaf conductance in subtropical vegetation under rising CO2. Proc Natl Acad Sci 108:4041–4046. https://doi.org/10.1073/pnas.1100555108
Deryng D, Elliott J, Folberth C, Müller C, Pugh TAM, Boote KJ, Conway D, Ruane AC, Gerten D, Jones JW, Khabarov N, Olin S, Schaphoff S, Schmid E, Yang H, Rosenzweig C (2016) Regional disparities in the beneficial effects of rising CO2 concentrations on crop water productivity. Nat Clim Chang 6:786–790. https://doi.org/10.1038/nclimate2995
Diggle P, Ribeiro PJ (2007) Model-based geostatistics. Springer New York, New York
Dirmeyer PA, Gao X, Zhao M et al (2006) GSWP-2: multimodel analysis and implications for our perception of the land surface. Bull Am Meteorol Soc 87:1381–1397. https://doi.org/10.1175/BAMS-87-10-1381
Drake BG, Gonzàlez-Meler MA, Long SP (1997) More efficient plants: a consequence ofrRising atmospheric CO2 ? Annu Rev Plant Physiol Plant Mol Biol 48:609–639. https://doi.org/10.1146/annurev.arplant.48.1.609
Felzer BS, Cronin TW, Melillo JM et al (2009) Importance of carbon-nitrogen interactions and ozone on ecosystem hydrology during the 21st century. J Geophys Res Biogeosci 114:1–10. https://doi.org/10.1029/2008JG000826
Field CB, Jackson RB, Mooney HA (1995) Stomatal responses to increased CO2: implications from the plant to the global scale. Plant Cell Environ 18:1214–1225. https://doi.org/10.1111/j.1365-3040.1995.tb00630.x
García-Garizábal I, Causapé J, Abrahao R, Merchan D (2014) Impact of climate change on Mediterranean irrigation demand: historical dynamics of climate and future projections. Water Resour Manag 28:1449–1462. https://doi.org/10.1007/s11269-014-0565-7
Ghalambor CK, McKay JK, Carroll SP, Reznick DN (2007) Adaptive versus non-adaptive phenotypic plasticity and the potential for contemporary adaptation in new environments. Funct Ecol 21:394–407. https://doi.org/10.1111/j.1365-2435.2007.01283.x
Hussain MZ, Vanloocke A, Siebers MH, Ruiz-Vera UM, Cody Markelz RJ, Leakey AD, Ort DR, Bernacchi CJ (2013) Future carbon dioxide concentration decreases canopy evapotranspiration and soil water depletion by field-grown maize. Glob Chang Biol 19:1572–1584. https://doi.org/10.1111/gcb.12155
IPEA (2017) Instituto de Pesquisa Econômica Aplicada. In: Levant. da Agropecuária. http://www.ipeadata.gov.br. Accessed 13 Oct 2017
Irmak S, Kabenge I, Skaggs KE, Mutiibwa D (2012) Trend and magnitude of changes in climate variables and reference evapotranspiration over 116-yr period in the Platte River Basin, central Nebraska-USA. J Hydrol 420–421:228–244. https://doi.org/10.1016/j.jhydrol.2011.12.006
Katerji N, Rana G (2014) FAO-56 methodology for determining water requirement of irrigated crops: critical examination of the concepts, alternative proposals and validation in Mediterranean region. Theor Appl Climatol 116:515–536. https://doi.org/10.1007/s00704-013-0972-3
Katerji N, Rana G, Ferrara RM (2016) Actual evapotranspiration for a reference crop within measured and future changing climate periods in the Mediterranean region. Theor Appl Climatol 129:923–938. https://doi.org/10.1007/s00704-016-1826-6
Kimball BA, Mauney JR, Nakayama FS, Idso SB (1993) Effects of increasing atmospheric CO2 on vegetation. Vegetatio 104–105:65–75. https://doi.org/10.1007/BF00048145
Lemeur R, Zhang L (1990) Evaluation of three evapotranspiration models in terms of their applicability for an arid region. J Hydrol 114:395–411
Lockwood JG (1995) The suppression of evapotranspiration by rising levels of atmospheric CO2. Weather 50:304–308. https://doi.org/10.1002/j.1477-8696.1995.tb06137.x
Long SP, Ainsworth EA, Rogers A, Ort DR (2004) Rising atmospheric carbon dioxide: plants FACE the future. Annu Rev Plant Biol 55:591–628. https://doi.org/10.1146/annurev.arplant.55.031903.141610
Lovelli S, Perniola M, Di Tommaso T et al (2010) Effects of rising atmospheric CO2 on crop evapotranspiration in a Mediterranean area. Agric Water Manag 97:1287–1292. https://doi.org/10.1016/j.agwat.2010.03.005
Lu J, Sun G, McNulty SG, Amatya DM (2005) A comparison of six potential evapotranspiration methods for regional use in the southeastern United States. J Am Water Resour Assoc 41:621–633. https://doi.org/10.1111/j.1752-1688.2005.tb03759.x
Manea A, Leishman MR (2014) Leaf area index drives soil water availability and extreme drought-related mortality under elevated CO2in a temperate grassland model system. PLoS One 9:1–8. https://doi.org/10.1371/journal.pone.0091046
Marengo JA (2007) Mudanças climáticas globais e seus efeitos sobre a biodiversidade - caracterização do clima atual e definição das alterações climáticas para o território brasileiro ao longo do século XXI, 1st edn. Ministério do Meio Ambiente, Brasília
Marengo JA (2009) Mudanças climáticas: detecção e cenários futuros para o Brasil até o final do século XXI. In: Cavalcanti IFA, Ferreira NJ, da Silva MGJ, Dias MAFS (eds) Tempo e Clima no Brasil. Oficina, São Paulo, pp 407–424
Martin GM, Bellouin N, Collins WJ et al (2011) The HadGEM2 family of Met Office Unified Model climate configurations. Geosci Model Dev 4:723–757. https://doi.org/10.5194/gmd-4-723-2011
Melo LC, Sanquetta CR, Corte APD, Virgens Filho JS (2015) Cenários climáticos futuros para o Paraná: Oportunidades para o setor florestal. Rev Bras Climatol 16:120–131. https://doi.org/10.5380/abclima.v16i0.41149
Mo X, Guo R, Liu S, Lin Z, Hu S (2013) Impacts of climate change on crop evapotranspiration with ensemble GCM projections in the North China Plain. Clim Chang 120:299–312. https://doi.org/10.1007/s10584-013-0823-3
Moss RH, Edmonds J a, Hibbard K a et al (2010) The next generation of scenarios for climate change research and assessment. Nature 463:747–756. https://doi.org/10.1038/nature08823
Nie D, He H, Mo G et al (1992) Canopy photosynthesis and evapotranspiration of rangeland plants under doubled carbon dioxide in closed-top chambers. Agric For Meteorol 61:205–217. https://doi.org/10.1016/0168-1923(92)90050-E
Pan S, Tian H, Dangal SRS et al (2015) Responses of global terrestrial evapotranspiration to climate change and increasing atmospheric CO2 in the 21st century. Earth’ s Futur 3:15–35. https://doi.org/10.1002/2014EF000263.Received
Pedron IT, Klosowski ES (2008) Distribuição de frequência de chuvas diárias no Estado do Paraná. Sci Agrária Parana 7:55–63
R Core Team (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing
Rosenzweig C, Jones JW, Hatfield JL et al (2015) Appendix 1. Guide for regional integrated assessments: handbook of methods and procedures, version 5.1. In: Rosenzweig C, Hillel D (eds) Handbook of climate change and agroecosystems: the agricultural model intercomparison and improvement project (AgMIP) Integred Crop and Economic Assessments, Part 1. Series on climate change impacts, adaptation, and mitigation. v3. Imperial College Press, pp 331–386
Rotstayn LD, Jeffrey SJ, Collier MA et al (2012) Aerosol- and greenhouse gas-induced changes in summer rainfall and circulation in the Australasian region: a study using single-forcing climate simulations. Atmos Chem Phys 12:6377–6404. https://doi.org/10.5194/acp-12-6377-2012
Santos L d C, José JV, Alves DS et al (2017) Space-time variability of evapotranspiration and precipitation in the state of Paraná, Brazil. Rev Ambient e Agua 12:743–759. https://doi.org/10.4136/ambi-agua.2057
SEAB (2015) Secretaria da Agricultura e do Abastecimento. Departamento de Economia Rural. http://www.agricultura.pr.gov.br. Accessed 1 Nov 2017
Shenbin C, Yunfeng L, Thomas A (2006) Climatic change on the Tibetan Plateau: potential evapotranspiration trends from 1961-2000. Clim Chang 76:291–319. https://doi.org/10.1007/s10584-006-9080-z
Shimono H, Nakamura H, Hasegawa T, Okada M (2013) Lower responsiveness of canopy evapotranspiration rate than of leaf stomatal conductance to open-air CO2 elevation in rice. Glob Chang Biol 19:2444–2453. https://doi.org/10.1111/gcb.12214
Srinivasan V, Kumar P, Long SP (2017) Decreasing, not increasing, leaf area will raise crop yields under global atmospheric change. Glob Chang Biol 23:1626–1635. https://doi.org/10.1111/gcb.13526
Stocker TF, Qin D, Plattner GK, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (2013) Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp. http://www.ipcc.ch/report/ar5/wg1/
Taylor KE, Stouffer RJ, Meehl GA (2009) A summary of the CMIP5 experiment design. http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_desing.pdf. Accessed 03 Sept 2019
van Vuuren DP, Edmonds J, Kainuma M et al (2011) The representative concentration pathways: an overview. Clim Chang 109:5–31. https://doi.org/10.1007/s10584-011-0148-z
Vu JCV, Allen LH (2009) Stem juice production of the C4 sugarcane (Saccharum officinarum) is enhanced by growth at double-ambient CO2 and high temperature. J Plant Physiol 166:1141–1151. https://doi.org/10.1016/j.jplph.2009.01.003
Watanabe S, Hajima T, Sudo K et al (2011) MIROC-ESM 2010: model description and basic results of CMIP5-20c3m experiments. Geosci Model Dev 4:845–872. https://doi.org/10.5194/gmd-4-845-2011
Webler AD, Gomes JB, Aguiar RG et al (2013) Changes in land use and energy partitioning in the southwest of the Amazon [Mudanças no uso da terra e o particionamento de energia no sudoeste da Amazônia]. Rev Bras Eng Agric e Ambient 17:868–876
Wilby RL, Charles SP, Zorita E et al (2004) Guidelines for use of climate scenarios developed from statistical downscaling methods. Analysis 27:1–27
Xavier AC, King CW, Scanlon BR (2015) Daily gridded meteorological variables in Brazil (1980-2013). Int J Climatol. https://doi.org/10.1002/joc.4518
Xu J, Liu X, Yang S et al (2017) Modeling rice evapotranspiration under water-saving irrigation by calibrating canopy resistance model parameters in the Penman-Monteith equation. Agric Water Manag 182:55–66. https://doi.org/10.1016/j.agwat.2016.12.010
Yuan W, Liu S, Liang S, Tan Z, Liu H, Young C (2012) Estimations of evapotranspiration and water balance with uncertainty over the Yukon River basin. Water Resour Manag 26:2147–2157. https://doi.org/10.1007/s11269-012-0007-3
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We would like to thank the funding agency Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for the post-doctoral scholarship of the first author and also the financial support through funding PNPD/CAPES (Agreement UEG/CAPES N. 817164/2015-PROAP).
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da Costa Santos, L., José, J.V., Bender, F.D. et al. Climate change in the Paraná state, Brazil: responses to increasing atmospheric CO2 in reference evapotranspiration. Theor Appl Climatol 140, 55–68 (2020). https://doi.org/10.1007/s00704-019-03057-7
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DOI: https://doi.org/10.1007/s00704-019-03057-7