Table 4 Comparison of crop water use (CWU) estimates for 1990–2015 between our study and Jägermeyr et al.25 for a set of selected crops.

From: Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model

Crop

Average CWU (mm)

Spatial correlation

Median of differences

Historical change (%)

Our study

Ensemble mean

Our study

Ensemble median

Rainfed

Maize

363

351

0.90

+1.8%

+0.2%

−1.3%

Soya bean

379

352

0.83

+7.0%

−0.5%

−1.5%

Winter wheat

314

277

0.83

+14.2%

−2.1%

−1.1%

Spring wheat

302

250

0.88

+18.4%

−0.4%

−2.2%

Rice main season

389

368

0.89

+6.0%

+0.4%

−0.9%

Rice second

327

301

0.90

+9.5%

+1.7%

−0.3%

Average

  

0.87

+9.5%

0.1%

1.2%

Irrigated

Maize

460

482

0.86

−8.1%

+1.1%

−1.3%

Soya bean

479

472

0.92

−0.1%

+1.9%

+0.1%

Winter wheat

432

381

0.75

+4.7%

+0.3%

−0.3%

Spring wheat

492

373

0.61

+18.7%

+1.8%

−1.7%

Rice main season

570

436

0.65

+20.7%

+0.1%

−2.0%

Rice second season

511

381

0.67

+23.8%

−0.7%

−1.8%

Average

  

0.74

+10.0%

+0.7%

1.2%

  1. The other study is represented by the mean CWU of the ensemble of four models LPJmL, EPIC-IIASA, pDSSAT, and PEPIC. The average CWU refers to the global non-weighted average, spatial correlation corresponds to Pearson correlation coefficients among the matching cells, median of differences refers to the global median of grid-level differences relative to values provided by the other study, and historical change reflects the average grid-level difference between values in 2011–2015 and 1990–1994. Grid cells with values below 50 mm are excluded from this comparison.