Abstract
The Upper Paraná River Basin (UPRB) has undergone remarkable land use and cover changes (LUCC) in recent decades. This paper analyses the hydrologic response to LUCC in the UPRB between 1985 and 2015, using the Soil and Water Assessment Tool (SWAT) model. The impacts of LUCC were examined for annual, wet, and dry season (both during calibrated and validated periods) between 1984 and 2015. The most substantial LUCC were the extensive reduction of the cerrado and the expansion of agriculture areas. The simulations demonstrated that the LUCC caused important changes in basin hydrology. For instance, an increase (decrease) of surface runoff in the wet (dry) season at most UPRB subbasins was observed. In addition, the simulation results revealed a reduction in actual evapotranspiration and an increase in soil moisture in the annual and wet season. Consequently, most of the major rivers of the basin presented an increase (decrease) in their discharge in the wet (dry) period. The major changes in the hydrologic components were observed in the central-western and southern parts of the UPRB. At the river mouth of the UPRB, the LUCC led to an increase in long-term mean discharge values of 4.2% and 1.1% in the annual and wet season and a decrease of about 2.2% in the dry period. This study provides a large-scale modeling and valuable information that could be used to improve planning and sustainable management of future water resources within the basin.
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References
Abbaspour KC (2015) SWAT-CUP: SWAT Calibration and Uncertainty Programs - A User Manual. Swiss federal institute of aquatic science and technology. Eawag, Dubendorf, p 103.
Abbaspour KC, Johnson CA, van Genuchten MT (2004) Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure. Vadose Zo J 3:1340–1352. https://doi.org/10.2136/vzj2004.1340
Abou Rafee SA, Freitas ED, Martins JA, Martins LD, Domingues LM et al (2020) Spatial trends of extreme precipitation events in the Paraná River Basin. J Appl Meteorol Climatol 59:443–454. https://doi.org/10.1175/JAMC-D-19-0181.1
Abou Rafee SA, Uvo CB, Martins JA, Domingues LM, Rudke AP et al (2019) Large-scale hydrological modelling of the Upper Paraná River Basin. Water (Switzerland) 11:882. https://doi.org/10.3390/w11050882
Adami M, Rudorff BFT, Freitas RM, Aguiar DA, Sugawara LM et al (2012) Remote sensing time series to evaluate direct land use change of recent expanded sugarcane crop in Brazil. Sustainability 4(4):574–585. https://doi.org/10.3390/su4040574
Alemayehu T, Van Griensven A, Woldegiorgis BT, Bauwens W (2017) An improved SWAT vegetation growth module and its evaluation for four tropical ecosystems. Hydrol Earth Syst Sci 21(9):4449–4467. https://doi.org/10.5194/hess-21-4449-2017
ANEEL (2020). BIG Banco de Informações de Geração - Capacidade de Geração do Brasil - Usinas hidrelétricas, BIG. Available online: https://bit.ly/2IGf4Q0 (accessed December 2020).
Antico A, Torres ME, Diaz HF (2016) Contributions of different time scales to extreme Paraná floods. Clim Dyn 46:3785–3792. https://doi.org/10.1007/s00382-015-2804-x
Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modelling and assessment part I : Model development. J Am Water Resour Assoc 34(1):73–89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
Baer W, Birch MH (1984) Expansion of the economic frontier: Paraguayan growth in the 1970s. World Dev 12(8):783–798. https://doi.org/10.1016/0305-750X(84)90074-3
Baker TJ, Miller SN (2013) Using the Soil and Water Assessment Tool (SWAT) to assess land use impact on water resources in an East African watershed. J Hydrol 486:100–111. https://doi.org/10.1016/j.jhydrol.2013.01.041
Boserup E (2014) The conditions of agricultural growth: The economics of agrarian change under population pressure. London, p 124. https://doi.org/10.4324/9781315070360
Bucci SJ, Scholz FG, Goldstein G, Hoffmann WA, Meinzer FC et al (2008) Controls on stand transpiration and soil water utilization along a tree density gradient in a Neotropical savanna. Agric for Meteorol 148(6-7):839–849. https://doi.org/10.1016/j.agrformet.2007.11.013
Cabral OMR, Rocha HR, Gash JH, Ligo MA, Tatsch JD et al (2012) Water use in a sugarcane plantation. GCB Bioenergy 4(5):555–565. https://doi.org/10.1111/j.1757-1707.2011.01155.x
Camilloni IA, Barros VR (2003) Extreme discharge events in the Paraná River and their climate forcing. J Hydrol 278:94–106. https://doi.org/10.1016/S0022-1694(03)00133-1
Cao W, Bowden WB, Davie T, Fenemor A (2009) Modelling impacts of land cover change on critical water resources in the Motueka River Catchment. New Zealand. Water Resour Manag 23(1):137–151. https://doi.org/10.1007/s11269-008-9268-2
Carvalho LMV, Jones C, Liebmann B (2004) The South Atlantic convergence zone: Intensity, form, persistence, and relationships with intraseasonal to interannual activity and extreme rainfall. J Clim 17(1):88–108. https://doi.org/10.1175/1520-0442(2004)017%3c0088:TSACZI%3e2.0.CO;2
Carvalho LMV, Jones C, Silva AE, Liebmann B, Silva Dias PL (2011) The South American Monsoon System and the 1970s climate transition. Int J Climatol 31:1248–1256. https://doi.org/10.1002/joc.2147
Chotpantarat S, Boonkaewwan S (2018) Impacts of land-use changes on watershed discharge and water quality in a large intensive agricultural area in Thailand. Hydrol Sci J 63(9):1386–1407. https://doi.org/10.1080/02626667.2018.1506128
Costa-Cabral MC, Richey JE, Goteti G, Lettenmaier DP, Feldkötter C et al (2008) Landscape structure and use, climate, and water movement in the Mekong River basin. Hydrol Process 22(12):1731–1746. https://doi.org/10.1002/hyp.6740
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(1–4):206–217. https://doi.org/10.1016/S0022-1694(03)00267-1
Cruz Ruggiero PG, Batalha MA, Pivello VR, Meirelles ST (2002) Soil-vegetation relationships in cerrado (Brazilian savanna) and semideciduous forest. Southeastern Brazil. Plant Ecol 160(1):1–6. https://doi.org/10.1023/A:1015819219386
Da Rocha HR, Manzi AO, Cabral OM, Miller SD, Goulden ML et al (2009) Patterns of water and heat flux across a biome gradient from tropical forest to savanna in brazil. J Geophys Res Biogeosciences 114:G00B12. https://doi.org/10.1029/2007JG000640
De Jesus EM, Da Rocha RP, Reboita MS, Llopart M, Dutra LM, Remedio AR et al (2016) Contribution of cold fronts to seasonal rainfall in simulations over the southern la Plata Basin. Clim Res 68(2-3):243–55. https://doi.org/10.3354/cr01358
De Roo A, Odijk M, Schmuck G, Koster E, Lucieer A (2001) Assessing the effects of land use changes on floods in the meuse and oder catchment. Phys Chem Earth, Part B Hydrol Ocean Atmos 26:593–599. https://doi.org/10.1016/S1464-1909(01)00054-5
DeFries R, Eshleman KN (2004) Land-use change and hydrologic processes: a major focus for the future. Hydrol Process 18(11):2183–2186. https://doi.org/10.1002/hyp.5584
Dos Santos HG, Jacomine PK, Dos Anjos LH, De Oliveira VA, Lumbreras JF et al (2018) Sistema brasileiro de classificação de solos, 5th edn. Embrapa, Brasilia
Dos Santos V, Laurent F, Abe C, Messner F (2018) Hydrologic response to land use change in a large basin in eastern Amazon. Water (switzerland) 10:429. https://doi.org/10.3390/w10040429
Doyle ME, Barros VR (2011) Attribution of the river flow growth in the Plata Basin. Int J Climatol 31:2234–2248. https://doi.org/10.1002/joc.2228
Durkee JD, Mote TL (2010) A climatology of warm-season mesoscale convective complexes in subtropical South America. Int J Climatol 30(3):418–431. https://doi.org/10.1002/joc.1893
Ferrant S, Oehler F, Durand P, Ruiz L, Salmon-Monviola, et al (2011) Understanding nitrogen transfer dynamics in a small agricultural catchment: Comparison of a distributed (TNT2) and a semi distributed (SWAT) modeling approaches. J Hydrol 406(1-2):1–5. https://doi.org/10.1016/j.jhydrol.2011.05.026
Ficklin DL, Luo Y, Luedeling E, Zhang M (2009) Climate change sensitivity assessment of a highly agricultural watershed using SWAT. J Hydrol 74(1-2):16–29. https://doi.org/10.1016/j.jhydrol.2009.05.016
Francesconi W, Srinivasan R, Pérez-Miñana E, Willcock SP, Quintero M et al (2016) Using the Soil and Water Assessment Tool (SWAT) to model ecosystem services: A systematic review. J Hydrol 535:625–636. https://doi.org/10.1016/j.jhydrol.2016.01.034
Fu B, Wang J, Chen L, Qiu Y (2003) The effects of land use on soil moisture variation in the Danangou catchment of the Loess Plateau, China. CATENA 54:197–213. https://doi.org/10.1016/S0341-8162(03)00065-1
Ghaffari G, Keesstra S, Ghodousi J, Ahmadi H (2010) SWAT-simulated hydrological impact of land-use change in the Zanjanrood Basin, Northwest Iran. Hydrol Process 24:892–903. https://doi.org/10.1002/hyp.7530
Gonçalves JLM, Stape JL, Laclau JP, Bouillet JP, Ranger J et al (2008) Assessing the effects of early silvicultural management on long-term site productivity of fast-growing eucalypt plantations: The Brazilian experience. South For 70:105–118. https://doi.org/10.2989/SOUTH.FOR.2008.70.2.6.534
Grimm AM, Pal JS, Giorgi F (2007) Connection between spring conditions and peak summer monsoon rainfall in South America: Role of soil moisture, surface temperature, and topography in eastern Brazil. J Clim 20:5929–5945. https://doi.org/10.1175/2007JCLI1684.1
Gupta HV, Kling H, Yilmaz KK, Martinez GF (2009) Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling. J Hydrol 377:80–91. https://doi.org/10.1016/j.jhydrol.2009.08.003
Hernandes TAD, Scarpare FV, Seabra JEA (2018) Assessment of the recent land use change dynamics related to sugarcane expansion and the associated effects on water resources availability. J Clean Prod 197:1328–1341. https://doi.org/10.1016/j.jclepro.2018.06.297
Hoffmann WA, Da Silva ER, Machado GC, Bucci SJ, Scholz FG et al (2005) Seasonal leaf dynamics across a tree density gradient in a Brazilian savanna. Oecologia 145(2):306–315. https://doi.org/10.1007/s00442-005-0129-x
Huang M, Zhang L, Gallichand J (2003) Runoff responses to afforestation in a watershed of the Loess Plateau, China. Hydrol Process 18:1885–1898. https://doi.org/10.1002/hyp.1281
IBGE (2019). Brazilian Institute of Geography and Statistics - Population Available online: http://www.ibge.gov.br/apps/populacao/projecao/ (accessed November 2019).
Kalantari Z, Lyon SW, Folkeson L, French HK, Stolte J et al (2014) Quantifying the hydrological impact of simulated changes in land use on peak discharge in a small catchment. Sci Total Environ 466:741–754. https://doi.org/10.1016/j.scitotenv.2013.07.047
Lambin EF, Turner BL, Geist HJ, Agbola SB, Angelsen A et al (2001) The causes of land-use and land-cover change: Moving beyond the myths. Glob Environ Chang 11(4):261–269. https://doi.org/10.1016/S0959-3780(01)00007-3
Lamparter GJ, Nobrega RLB, Kovacs K, Amorim RS, Gerold G (2018) Modelling hydrological impacts of agricultural expansion in two macro-catchments in Southern Amazonia, Brazil. Reg Environ Chang 1–13. https://doi.org/10.1007/s10113-016-1015-2
Leta OT, van Griensven A, Bauwens W (2017) Effect of single and multisite calibration techniques on the parameter estimation, performance, and output of a SWAT model of a spatially heterogeneous catchment. J Hydrol Eng 22(3):05016036. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001471
Li Z, Deng X, Wu F, Hasan SS (2015) Scenario analysis for water resources in response to land use change in the middle and upper reaches of the heihe river Basin. Sustain 7:3086–3108. https://doi.org/10.3390/su7033086
Lin B, Chen X, Yao H, Chen Y, Liu M et al (2015) Analyses of landuse change impacts on catchment runoff using different time indicators based on SWAT model. Ecol Indic 58:55–63. https://doi.org/10.1016/j.ecolind.2015.05.031
Manoli G, Ivanov VY, Fatichi S (2018) Dry-season greening and water stress in Amazonia: The role of modeling leaf phenology. J Geophys Res Biogeosciences 123:1909–1926. https://doi.org/10.1029/2017JG004282
MMA (2012) Monitoramento do desmatamento nos biomas brasileiros por satélite: monitoramento do bioma Mata Atlântica - 2008 a 2009. Ministério do Meio Ambient Brasília, DF. Available at https://antigo.mma.gov.br/projeto-de-monitoramento-do-desmatamento-nos-biomas-brasileiros-por-satélite-pmdbbs.html
MMA (2011) Monitoramento do desmatamento nos biomas brasileiros por satélite: monitoramento do bioma Cerrado - 2009 a 2010. Ministério do Meio Ambient Brasília, DF. Available at https://antigo.mma.gov.br/projeto-de-monitoramento-do-desmatamento-nos-biomas-brasileiros-por-satelite-pmdbbs.html
Monteith JL (1965) Evaporation and envrionment. In: Fogg BD (ed) The state and movement of water in living organisms, Symposium of the Society of Experimental Biology, vol 19. Cambridge University Press, Cambridge, UK, pp 205–234
Moriasi DNJG, Arnold MW, Van Liew RL, Binger RD, Harmel and TV (2007) Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations. Trans ASABE. 55(4), 1549–1559. https://doi.org/10.13031/2013.23153
Morton DC, Nagol J, Carabajal CC, Rosette J, Palace M et al (2014) Amazon forests maintain consistent canopy structure and greenness during the dry season. Nature 506(7487):221–224. https://doi.org/10.1038/nature13006
Mueller C, Mueller B (2016) The evolution of agriculture and land reform in Brazil, 1960–2006. Conference in honor of Werner Baer, University of Illinois. December 1–2, 2006
Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I - A discussion of principles. J Hydrol 10(3):282–290. https://doi.org/10.1016/0022-1694(70)90255-6
Negrón Juárez RI, da Rocha HR, e Figueira AMS, Goulden ML, Miller SD (2009) An improved estimate of leaf area index based on the histogram analysis of hemispherical photographs. Agric For Meteorol. https://doi.org/10.1016/j.agrformet.2008.11.012
Neitsch S, Arnold J, Kiniry J, Williams J (2011) Soil & Water Assessment Tool: Theoretical Documentation Version 2009. Retrieved from http://oaktrust.library.tamu.edu/handle/1969.1/128050
Nepstad DC, De Carvalho CR, Davidson EA, Jipp PH, Lefebvre P et al (1994) The role of deep roots in the hydrological and carbon cycles of Amazonian forests and pastures. Nature 372(6507):666–669. https://doi.org/10.1038/372666a0
Oliveira RS, Bezerra L, Davidson EA, Pinto F, Klink CA et al (2005) Deep root function in soil water dynamics in cerrado savannas of central Brazil. Funct Ecol 19(4):574–581. https://doi.org/10.1111/j.1365-2435.2005.01003.x
Pokhrel Y, Burbano M, Roush J, Kang H, Sridhar V et al (2018) A review of the integrated effects of changing climate, land use, and dams on Mekong river hydrology. Water (Switzerland) 10(3):266. https://doi.org/10.3390/w10030266
Rajib A, Merwade V (2017) Hydrologic response to future land use change in the Upper Mississippi River Basin by the end of 21st century. Hydrol Process 31:3645–3661. https://doi.org/10.1002/hyp.11282
Rudke AP (2018) Dinâmica da cobertura do solo para a bacia hidrográfica do alto rio Paraná. Master´s Thesis, Federal University of Tecnology Parana, Londrina, Brazil, p. 110. http://repositorio.utfpr.edu.br/jspui/handle/1/3328
Rudke AP, Fujita T, de Almeida DS, Eiras MM, Xavier ACF et al (2019) Land cover data of Upper Parana River Basin, South America, at high spatial resolution. Int J Appl Earth Obs Geoinf 83:101926. https://doi.org/10.1016/j.jag.2019.101926
Rudorff BFT, de Aguiar DA, da Silva WF, Sugawara LM, Adami M et al (2010) Studies on the rapid expansion of sugarcane for ethanol production in São Paulo state (Brazil) using Landsat data. Remote Sens 2(4):1057–1076. https://doi.org/10.3390/rs2041057
Saha S, Moorthi S, Pan HL, Wu X, Wang J et al (2010) The NCEP climate forecast system reanalysis. Bull Am Meteorol Soc 91(8):1015–1058. https://doi.org/10.1175/2010BAMS3001.1
Saha S, Moorthi S, Wu X, Wang J, Nadiga S et al (2014) The NCEP climate forecast system version 2. J Clim 27(6):2185–2208. https://doi.org/10.1175/JCLI-D-12-00823.1
Saleska SR, Wu J, Guan K, Araujo AC, Huete A et al (2016) Dry-season greening of Amazon forests. Nature 531(7594):E4–E5. https://doi.org/10.1038/nature16457
Soil Conservation Service Engineering Division (1972) Section 4: Hydrology. In: National Engineering Handbook. Washington (DC):US Department of Agriculture.
Strauch M, Volk M (2013) SWAT plant growth modification for improved modeling of perennial vegetation in the tropics. Ecol Modell 269:98–112. https://doi.org/10.1016/j.ecolmodel.2013.08.013
Thiemig V, Rojas R, Zambrano-Bigiarini M, De Roo A (2013) Hydrological evaluation of satellite-based rainfall estimates over the Volta and Baro-Akobo Basin. J Hydrol 499:324–338. https://doi.org/10.1016/j.jhydrol.2013.07.012
Toloi RC, Freitas Junior M, Reis JGM dos et al (2016) Droughts in the Tietê-Paraná waterway: impacts on the direct, indirect and hidden costs in the transportation of soybean. Indep J Manag Prod 7(2):431–444. https://doi.org/10.14807/ijmp.v7i2.418
Tucci CE (2002) Impactos da variabilidade climática e do uso do solo nos recursos hídricos. Câmara Temática sobre Recur Hídricos. Câmara Temática de Recursos Hídricos, Agência Nacional de Águas (ANA), Brasil, p. 150
Van Griensven A, Ndomba P, Yalew S, Kilonzo F (2012) Critical review of SWAT applications in the upper Nile basin countries. Hydrol Earth Syst Sci 16(9):3371–3381. https://doi.org/10.5194/hess-16-3371-2012
Velasco I, Fritsch JM (1987) Mesoscale convective complexes in the Americas. J Geophys Res 92:9591–9613. https://doi.org/10.1029/JD092iD08p09591
Viola MR, Mello CR, Beskow S, Norton LD (2014) Impacts of land-use changes on the hydrology of the Grande River Basin headwaters, Southeastern Brazil. Water Resour Manag (13):4537–4550. https://doi.org/10.1007/s11269-014-0749-1
Wagner PD, Kumar S, Fiener P, Schneider K (2011) Technical Note: Hydrological Modeling with SWAT in a Monsoon-Driven Environment: Experience from the Western Ghats, India. Trans ASABE. 54 (5), 1783–1790 https://doi.org/10.13031/2013.39846
Wang G, Yang H, Wang L, Xu Z, Xue B (2014) Using the SWAT model to assess impacts of land use changes on runoff generation in headwaters. Hydrol Process 28:1032–1042. https://doi.org/10.1002/hyp.9645
Wu K, Johnston CA (2007) Hydrologic response to climatic variability in a Great Lakes Watershed: A case study with the SWAT model. J Hydrol 337(1-2):187–199. https://doi.org/10.1016/j.jhydrol.2007.01.030
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This study was financed in part by the “Coordenação de Aperfeiçoamento de Pessoal de Nível Superior–Brasil” (CAPES)–Finance Code 001 (Process # 88887.115875/2015-01) and “Fundação de Amparo à Pesquisa do Estado de São Paulo” FAPESP (process #2015/03804-9). The authors would like to gratefully acknowledge “Agência Nacional de Águas” (ANA) by providing the precipitation and discharge data.
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Abou Rafee, S.A., de Freitas, E.D., Martins, J.A. et al. Hydrologic response to large-scale land use and cover changes in the Upper Paraná River Basin between 1985 and 2015. Reg Environ Change 21, 112 (2021). https://doi.org/10.1007/s10113-021-01827-6
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DOI: https://doi.org/10.1007/s10113-021-01827-6