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51. Global impacts of future cropland expansion and intensification on agricultural markets and biodiversity F. Zabel et al. 10.1038/s41467-019-10775-z
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53. Excessive pumping limits the benefits of a strengthening summer monsoon for groundwater recovery in India S. Dangar & V. Mishra 10.1016/j.oneear.2023.03.005
54. Crop Yield Loss Risk Is Modulated by Anthropogenic Factors P. Kinnunen et al. 10.1029/2021EF002420
55. Amplified warming induced by large-scale application of water-saving techniques J. Fu et al. 10.1088/1748-9326/ac4b52
56. Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies A. Puy et al. 10.1088/1748-9326/ac5768
57. Improvement of the Irrigation Scheme in the ORCHIDEE Land Surface Model and Impacts of Irrigation on Regional Water Budgets Over China Z. Yin et al. 10.1029/2019MS001770
58. Modulation of Compound Extremes of Low Soil Moisture and High Vapor Pressure Deficit by Irrigation in India A. Ambika & V. Mishra 10.1029/2021JD034529
59. Are we approaching a water ceiling to maize yields in the United States? E. DeLucia et al. 10.1002/ecs2.2773
60. Water Balance Shifts Induced by Multiyear Drought Within the Budyko Framework Q. Liu et al. 10.1029/2022JD036758
61. Recent Global Cropland Water Consumption Constrained by Observations Y. Chen et al. 10.1029/2018WR023573
62. Impact of climate forcing uncertainty and human water use on global and continental water balance components H. Müller Schmied et al. 10.5194/piahs-374-53-2016
63. Drivers of global irrigation expansion: the role of discrete global grid choice S. Wagner et al. 10.5194/hess-28-5049-2024
64. Modeling large-scale human alteration of land surface hydrology and climate Y. Pokhrel et al. 10.1186/s40562-017-0076-5
65. Isolating the effects of land use land cover change and inter-decadal climate variations on the water and energy cycles over India, 1981–2010 N. Ghodichore et al. 10.1016/j.jhydrol.2022.128267
66. Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS) S. Ali et al. 10.3390/rs15040873
67. Reducing agriculture irrigation water consumption through reshaping cropping systems across China L. Yin et al. 10.1016/j.agrformet.2021.108707
68. Contextualizing Mangrove Forest Deforestation in Southeast Asia Using Environmental and Socio-Economic Data Products A. Fauzi et al. 10.3390/f10110952
69. Impact of environmental changes and land management practices on wheat production in India S. Gahlot et al. 10.5194/esd-11-641-2020
70. Soil inorganic carbon storage and spatial distribution in irrigated farmland on the North China Plain J. Liang et al. 10.1016/j.geoderma.2024.116887
71. Modelling Groundwater Hydrological Drought and Its Recovery Given Natural and Anthropogenic Scenarios in South America J. Vega‐Briones et al. 10.1002/hyp.15340
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73. Temporal variation of water suitability for paddy irrigation needs at karst springs influenced by allogenic recharge in Gunungsewu Karst Area, Indonesia A. Cahyadi et al. 10.1051/e3sconf/202020002024
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75. Simulating the Climatic Effects of Irrigation Over China by Using the WRF‐Noah Model System With Mosaic Approach G. Liu et al. 10.1029/2020JD034428
76. Irrigation by Crop in the Continental United States From 2008 to 2020 P. Ruess et al. 10.1029/2022WR032804
77. GISS‐E2.1: Configurations and Climatology M. Kelley et al. 10.1029/2019MS002025
78. Automated calibration of Noah-MP land surface model for improved irrigation representation in the North China Plain D. Dai et al. 10.1016/j.jhydrol.2024.132362
79. Assessing groundwater irrigation sustainability in the Euro-Mediterranean region with an integrated agro-hydrologic model E. Gelati et al. 10.5194/asr-17-227-2020
80. Delineating Variabilities of Groundwater Level Prediction Across the Agriculturally Intensive Transboundary Aquifers of South Asia P. Malakar et al. 10.1021/acsestwater.2c00220
81. A microbial-explicit model with comprehensive nitrogen processes to quantify gaseous nitrogen production from agricultural soils Z. Yan et al. 10.1016/j.soilbio.2023.109284
82. Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security M. Gumma et al. 10.1080/15481603.2022.2088651
83. Historical simulation of maize water footprints with a new global gridded crop model ACEA O. Mialyk et al. 10.5194/hess-26-923-2022
84. Scientists’ warning to humanity on the freshwater biodiversity crisis J. Albert et al. 10.1007/s13280-020-01318-8
85. Impacts of irrigation on soil C and N stocks in grazed grasslands depends on aridity and irrigation duration P. Mudge et al. 10.1016/j.geoderma.2021.115109
86. Global hydro-environmental lake characteristics at high spatial resolution B. Lehner et al. 10.1038/s41597-022-01425-z
87. Water requirement and crop coefficient of sugarcane cultivated in Nicaragua R. Pereira et al. 10.1007/s12892-023-00214-3
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89. Transferable Principles for Managing the Nexus: Lessons from Historical Global Water Modelling of Central Asia J. Guillaume et al. 10.3390/w7084200
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93. A review of global gridded cropping system data products K. Kim et al. 10.1088/1748-9326/ac20f4
94. WITHDRAWN: Transboundary water scarcity under climate change T. Gao et al. 10.1016/j.hydroa.2021.100080
95. Satellite evidence on the trade-offs of the food-water–air quality nexus over the breadbasket of India M. Singha et al. 10.1016/j.gloenvcha.2021.102394
96. Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications C. Müller et al. 10.5194/gmd-10-1403-2017
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98. Expansion of an Existing Water Management Model for the Analysis of Opportunities and Impacts of Agricultural Irrigation under Climate Change Conditions J. Steidl et al. 10.3390/w7116351
99. The overlooked spatial dimension of climate‐smart agriculture R. Prestele & P. Verburg 10.1111/gcb.14940
100. Insuring crops from space: the potential of satellite-retrieved soil moisture to reduce farmers’ drought risk exposure W. Vroege et al. 10.1093/erae/jbab010
101. Mapping Irrigated Croplands from Sentinel-2 Images Using Deep Convolutional Neural Networks W. Li et al. 10.3390/rs15164071
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106. Human–water interface in hydrological modelling: current status and future directions Y. Wada et al. 10.5194/hess-21-4169-2017
107. Does urban concentration matter for changes in country economic performance? R. Ganau & A. Rodríguez-Pose 10.1177/0042098021998927
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129. Irrigation‐Induced Crop Growth Enhances Irrigation Cooling Effect Over the North China Plain by Increasing Transpiration G. Liu & W. Wang 10.1029/2022WR034142
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131. Analysis of Regional Differences and Factors Influencing the Intensity of Agricultural Water in China J. Pang et al. 10.3390/agriculture12040546
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148. Are African irrigation dam projects for large-scale agribusiness or small-scale farmers? M. Tatlhego & P. D’Odorico 10.1088/2515-7620/ac2263
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