» Articles » PMID: 38355745

Water Footprints and Crop Water Use of 175 Individual Crops for 1990-2019 Simulated with a Global Crop Model

Overview
Journal Sci Data
Specialty Science
Date 2024 Feb 14
PMID 38355745
Authors
Affiliations
Soon will be listed here.
Abstract

The water footprint of a crop (WF) is a common metric for assessing agricultural water consumption and productivity. To provide an update and methodological enhancement of existing WF datasets, we apply a global process-based crop model to quantify consumptive WFs of 175 individual crops at a 5 arcminute resolution over the 1990-2019 period. This model simulates the daily crop growth and vertical water balance considering local environmental conditions, crop characteristics, and farm management. We partition WFs into green (water from precipitation) and blue (from irrigation or capillary rise), and differentiate between rainfed and irrigated production systems. The outputs include gridded datasets and national averages for unit water footprints (expressed in m t yr), water footprints of production (m yr), and crop water use (mm yr). We compare our estimates to other global studies covering different historical periods and methodological approaches. Provided outputs can offer insights into spatial and temporal patterns of agricultural water consumption and serve as inputs for further virtual water trade studies, life cycle and water footprint assessments.

Citing Articles

A global dataset of the national green and blue water footprint of livestock feeds.

Govoni C, Chiarelli D, Rulli M Sci Data. 2024; 11(1):1419.

PMID: 39709465 PMC: 11663216. DOI: 10.1038/s41597-024-04264-2.


The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019.

Wang M, Shi W Sci Data. 2024; 11(1):1373.

PMID: 39695167 PMC: 11655516. DOI: 10.1038/s41597-024-04185-0.


A high-resolution multi-scale industrial water use dataset in China.

Li M, Tong Y, Zhu J, Xu S Sci Data. 2024; 11(1):1327.

PMID: 39638787 PMC: 11621114. DOI: 10.1038/s41597-024-04204-0.

References
1.
Lovarelli D, Bacenetti J, Fiala M . Water Footprint of crop productions: A review. Sci Total Environ. 2016; 548-549:236-251. DOI: 10.1016/j.scitotenv.2016.01.022. View

2.
Dalin C, Konar M, Hanasaki N, Rinaldo A, Rodriguez-Iturbe I . Evolution of the global virtual water trade network. Proc Natl Acad Sci U S A. 2012; 109(16):5989-94. PMC: 3341016. DOI: 10.1073/pnas.1203176109. View

3.
Zhao Y, Ding D, Si B, Zhang Z, Hu W, Schoenau J . Temporal variability of water footprint for cereal production and its controls in Saskatchewan, Canada. Sci Total Environ. 2019; 660:1306-1316. DOI: 10.1016/j.scitotenv.2018.12.410. View

4.
Govere S, Nyamangara J, Nyakatawa E . Climate change signals in the historical water footprint of wheat production in Zimbabwe. Sci Total Environ. 2020; 742:140473. DOI: 10.1016/j.scitotenv.2020.140473. View

5.
Iizumi T, Sakai T . The global dataset of historical yields for major crops 1981-2016. Sci Data. 2020; 7(1):97. PMC: 7083933. DOI: 10.1038/s41597-020-0433-7. View