Recent global cropland water consumption constrained by observations

Under current global warming and accelerated population growth scenarios, cropland irrigation water consumption has become a central issue limiting the sustainability of coupled human‐natural systems. This study proposes a new estimate of recent global cropland water consumption constrained by observations and provides attributions for its recent trend. By incorporating observations, including extracted cropland leaf area index (LAI) and irrigation threshold data, this study provides improved estimates of recent global cropland evapotranspiration and transpiration as well as irrigation water consumption and withdrawal. The global annual consumption and withdrawal of irrigation water are estimated to be approximately 874 km3 and 1867 km3 (in 2005), respectively. From 2000~2014, a rapid increase in cropland irrigation was detected, especially in water‐deficient areas (i.e., hyper‐arid, arid and semi‐arid regions). Climate change, which mainly consists of rising temperature and reduced moisture conditions, is usually distinguished as the major driving factor. Human‐induced increases in crop canopy cover have also contributed to more irrigation in hyper‐arid and arid regions. This study also provides suggestions for water‐savings‐targeted cropland management in water‐deficient areas based on the transpiration ratio (i.e., ratio of transpiration to evapotranspiration).

Data and Resources

This dataset has no data

Cite this as

Chen, Yongzhe (2019). Dataset: Recent global cropland water consumption constrained by observations. https://doi.org/10.1594/PANGAEA.899848

DOI retrieved: 2019

Additional Info

Field Value
Imported on November 29, 2024
Last update November 29, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.899848
Author Chen, Yongzhe
Given Name Yongzhe
Family Name Chen
Source Creation 2019
Publication Year 2019
Subject Areas
Name: Ecology

Name: LakesRivers

Related Identifiers
Title: Recent global cropland water consumption constrained by observations
Identifier: https://doi.org/10.1029/2018WR023573
Type: DOI
Relation: References
Year: 2019
Source: Water Resources Research
Authors: Chen Yongzhe , Feng Xiaoming , Fu Bojie , Shi Weiyue , Yin Lichang , Lv Yihe .