Abella SR, Chiquoine LP, Newton AC, Vanier CH (2015) Restoring a desert ecosystem using soil salvage, revegetation, and irrigation. J Arid Environ 115:44–52. doi: 10.1016/j.jaridenv.2015.01.003
Alemayehu T, Griensven Av, Bauwens W (2016) Evaluating CFSR and Watch data as input to SWAT for the estimation of the potential evapotranspiration in a data-scarce Eastern-African Catchment. J Hydrol Eng 21:12–18. doi: 10.1061/(ASCE)HE.1943-5584.0001305
Bailey RT, Wible TC, Arabi M et al. (2016) Assessing regional-scale spatio-temporal patterns of groundwater-surface water interactions using a coupled SWAT-MODFLOW model. Hydrol Process 30:4420–4433. doi: 10.1002/hyp.10933
N. Moriasi, J. G. Arnold, M. W. Van Liew et al. (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE 50:885–900. doi: 10.13031/2013.23153
Dahlstrom DJ (2015) Calibration and uncertainty analysis for complex environmental models. Groundwater 53:673–674. doi: 10.1111/gwat.12360
Feng XM, Fu BJ, Piao SL et al. (2016) Revegetation in China’s Loess Plateau is approaching sustainable water resource limits. Nat Clim Change 6:1019–1022. doi: 10.1038/nclimate3092
Immerzeel WW, Droogers P (2008) Calibration of a distributed hydrological model based on satellite evapotranspiration. J Hydrol 349:411–424. doi: 10.1016/j.jhydrol.2007.11.017
G. Arnold, D. N. Moriasi, P. W. Gassman et al. (2012) SWAT: Model use, calibration, and validation. Trans ASABE 55:1491–1508. doi: 10.13031/2013.42256
Jackson RB, Jobbàgy EG, Avissar R et al. (2005) Trading water for carbon with biological carbon sequestration. Science 310:1944–1947–19477. doi: 10.1126/science.1119282
Jin X, He CS, Zhang LH, Zhang BQ (2018) A modified groundwater module in SWAT for improved streamflow simulation in a large, arid endorheic river watershed in Northwest China, Chin. Chin Geogr Sci 28:47–60. doi: 10.1007/s11769-018-0931-0
Jin X, Jin YX (2020) Calibration of a distributed hydrological model in a data-scarce basin based on GLEAM datasets. Water 12:897–910. doi: 10.3390/w12030897
Jin X, Zhang L, Gu J et al. (2015) Modelling the impacts of spatial heterogeneity in soil hydraulic properties on hydrological process in the upper reach of the Heihe River in the Qilian Mountains, Northwest China. Hydrol Process 29:3318–3327. doi: 10.1002/hyp.10437
Kim NW, Chung IM, Won YS, Arnold JG (2008) Development and application of the integrated SWAT-MODFLOW model. J Hydrol 356:1–16. doi: 10.1016/j.jhydrol.2008.02.024
Liu W, Park S, Bailey RT et al. (2019) Comparing SWAT with SWAT-MODFLOW hydrological simulations when assessing the impacts of groundwater abstractions for irrigation and drinking water. Hydrol Earth Syst Sci:1–51. doi: 10.5194/hess-2019-232
Ma N, Szilagyi J, Zhang Y, Liu W (2019) Complementary-relationship-based modeling of terrestrial evapotranspiration across China during 1982–2012: Validations and spatiotemporal analyses. J Geophys Res Atmos 124:4326–4351. doi: 10.1029/2018JD029850
Ma TX, Duan Z, Li R, Song X (2019) Enhancing SWAT with remotely sensed LAI for improved modelling of ecohydrological process in subtropics. J Hydrol 570:802–815. doi: 10.1016/j.jhydrol.2019.01.024
Menz MHM, Dixon KW, Hobbs RJ (2013) Ecology. Hurdles and opportunities for landscape-scale restoration. Science 339:526–527. doi: 10.1126/science.1228334
Minacapilli M, Iovino M, D’Urso G (2008) A distributed agro-hydrological model for irrigation water demand assessment. Agric Water Manag 95:123–132. doi: 10.1016/j.agwat.2007.09.008
Nyeko M (2015) Hydrologic modelling of data scarce basin with SWAT model: Capabilities and limitations. Water Resour Manag 29:81–94. doi: 10.1007/s11269-014-0828-3
Padgett PE, Kee SN, Allen EB (2000) The effects of irrigation on revegetation of semi-arid coastal sage scrub in southern California. Environ Manag 26:427–435. doi: 10.1007/s002670010100
Panagopoulos Y, Makropoulos C, Baltas E, Mimikou M (2011) SWAT parameterization for the identification of critical diffuse pollution source areas under data limitations. Ecol Modell 222:3500–3512. doi: 10.1016/j.ecolmodel.2011.08.008
Quinn P, Beven K, Chevallier P, Planchon O (1991) The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models. Hydrol Process 5:59–79. doi: 10.1002/hyp.3360050106
Reshmidevi TV, Nagesh Kumar D (2014) Modelling the impact of extensive irrigation on the groundwater resources. Hydrol Process 28:628–639. doi: 10.1002/hyp.9615
Reynolds JF, Smith DMS, Lambin EF et al. (2007) Global desertification: Building a science for dryland development. Science 316:847–851. doi: 10.1126/science.1131634
Shen Q, Gao GY, Fu BJ, Lü YH (2015) Sap flow and water use sources of shelter-belt trees in an arid inland river basin of Northwest China. Ecohydrology 8:1446–1458. doi: 10.1002/eco.1593
Sun X, Bernard‐Jannin L, Garneau C et al. (2016) Improved simulation of river water and groundwater exchange in an alluvial plain using the SWAT model. Hydrol Process 30:187–202. doi: 10.1002/hyp.10575
Wang QR, Liu R, Men C et al. (2018) Effects of dynamic land use inputs on improvement of SWAT model performance and uncertainty analysis of outputs. J Hydrol 563:874–886. doi: 10.1016/j.jhydrol.2018.06.063
White KL, Chaubey I (2005) Sensitivity analysis, calibration, and validations for a multisite and multivariable SWAT model. J Am Water Resources Assoc 41:1077–1089. doi: 10.1111/j.1752-1688.2005.tb03786.x
Xu X, Jiang Y, Liu M et al. (2019) Modeling and assessing agro-hydrological processes and irrigation water saving in the middle Heihe River basin. Agric Water Manag 211:152–164. doi: 10.1016/j.agwat.2018.09.033
Yang Q, Zhang X (2016) Improving SWAT for simulating water and carbon fluxes of forest ecosystems. Sci Total Environ 569–570:1478–1488. doi: 10.1016/j.scitotenv.2016.06.238
Zhang C, Shoemaker CA, Woodbury JD et al. (2013) Impact of human activities on stream flow in the Biliu River basin, China. Hydrol Process 27:2509–2523. doi: 10.1002/hyp.9389