A quantitative review of water footprint accounting and simulation for crop production based on publications during 2002–2018

Feng, Bianbian; Zhuo, La; Xie, Dan; Mao, Ying; Gao, Jie; Xie, Pengxuan; Wu, Pute

doi:10.1016/j.ecolind.2020.106962

Cited by 43 publications

(17 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The recent literature review of 70 related studies by Feng et al (2021) reports the global average unit WF of maize of 730 m 3 t −1 yr −1 (CV of 15.9 %) in 2002-2018. This aligns well with our estimate of 728.0 m 3 t −1 yr −1 (CV of 19.8 %) in 2012-2016.…”

Section: Other Comparisonsmentioning

confidence: 99%

See 1 more Smart Citation

Historical simulation of maize water footprints with a new global gridded crop model ACEA

Mialyk

Schyns

Booij

et al. 2022

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Crop water productivity is a key element of water and food security in the world and can be quantified by the water footprint (WF). Previous studies have looked at the spatially explicit distribution of crop WFs, but little is known about their temporal dynamics. Here, we present AquaCrop-Earth@lternatives (ACEA), a new process-based global gridded crop model that can simulate three consumptive WF components: green (WFg), blue from irrigation (WFbi), and blue from capillary rise (WFbc). The model is applied to analyse global maize production in 1986–2016 at 5×5 arcmin spatial resolution. Our results show that over the 2012–2016 period, the global average unit WF of maize is 728.0 m3 t−1 yr−1 (91.2 % WFg, 7.6 % WFbi, and 1.2 % WFbc), with values varying greatly around the world. Regions with high-input agriculture (e.g. Western Europe and Northern America) show small unit WFs and low interannual variability, while low-input regions show opposite outcomes (e.g. Middle and Eastern Africa). From 1986 to 2016, the global average unit WF reduced by a third, mainly due to the historical increase in maize yields. However, due to the rapid expansion of rainfed and irrigated areas, the global WF of maize production increased by half, peaking at 768.3×109 m3 yr−1 in 2016. As many regions still have a high potential in closing yield gaps, unit WFs are likely to reduce further. Simultaneously, humanity's rising demand for food and biofuels may further expand maize areas and hence increase WFs of production. Thus, it is important to address the sustainability and purpose of maize production, especially in those regions where it might endanger ecosystems and human livelihoods.

show abstract

Section: Other Comparisonsmentioning

confidence: 99%

“…Since its introduction in 2002, the WF concept has been widely applied to analyse crop water productivity (Feng et al, 2021;Lovarelli et al, 2016). However, most studies either focus on a small geographical extent (e.g.…”

Section: Introductionmentioning

confidence: 99%

Historical simulation of maize water footprints with a new global gridded crop model ACEA

Mialyk

Schyns

Booij

et al. 2022

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…However, the comparisons of WFs and main contributing factors can be done for a few historical periods. For example, the recent literature review of 70 related studies (during 2002-2018) by Feng et al (2021) reports a global average unit WF of maize of 730 m 3 t -1 y -1 with a CV of 15.9 %. This aligns well with our estimate of 723.2 m 3 t -1 y -1 with a CV of 21.3%.…”

Section: Historical Trends and Variability In Maize Water Footprintsmentioning

confidence: 99%

“…Since its introduction in 2002, the WF concept has been widely applied to analyse water use in crop production (Feng et al, 2021;Lovarelli et al, 2016). However, most studies either focus on a small geographical extent (e.g.…”

mentioning

confidence: 99%

Historical simulation of maize water footprints with a new global gridded crop model ACEA

Mialyk

Schyns

Booij

et al. 2021

Preprint

View full text Add to dashboard Cite

Abstract. Crop water productivity is a key element of water and food security in the world and can be quantified by the water footprint (WF). Previous studies have looked at the spatially explicit distribution of crop WFs but little is known about the temporal dynamics. We develop a new global gridded crop model – AquaCrop-Earth@lternatives (ACEA) – that can simulate three consumptive WF components: green (WFg), blue from irrigation (WFbi), and blue from capillary rise (WFbc) at high temporal and spatial resolutions. The model is applied to analyse global maize production during 1986–2016 at 5 × 5 arc minute grid. Our results show that in 2012–2016, the global average unit WF of maize is 723.2 m3 t−1 y−1 (89.5 % WFg, 8.3 % WFbi, 2.2 % WFbc) with values varying greatly around the world. Regions characterised by high agricultural development generally show a small unit WF and its interannual variation, such as Western Europe and Northern America (WF < 500 m3 t−1 y−1, CV < 15 %). On the contrary, regions with low agricultural development show opposite outcomes, such as Middle and Eastern Africa (WF > 2500 m3 t−1 y−1, CV > 40 %). Since 1986, the global unit WF of maize has reduced by 34.6 % mainly due to the historical decrease in yield gaps. However, due to the rapid expansion of rainfed and irrigated cropland, the global WF of maize production has increased by 48.8 % peaking at 762.9 × 109 m3 y−1 in 2016. As many regions still have a high potential in decreasing yield gaps, the unit WF of maize is likely to continue reducing, whereas the WF of maize production is likely to continue growing as humanity’s rising appetite can lead to further cropland expansion. The simulation of other crops with ACEA is necessary to assess the pressure of overall crop production on ecosystems and freshwater resources worldwide.

show abstract

“…Sin duda alguna, un indicador que permite monitorear el consumo de agua es la huella hídrica, el cual se refiere al consumo total de agua que incluye consumo agua directa e indirecta (agua consumida para producir productos de entrada en el proceso de producción) para producir los bienes y servicios para un cierto grupo de personas [3; 4]; esto quiere decir, que la huella hídrica simultáneamente considera la cantidad y la calidad de agua desde la perspectiva de producción y cadenas de suministro, y está cercanamente relacionada con los grupos asociados con el consumo de agua, por lo tanto, provee una perspectiva nueva e innovadora para la gestión del agua [5,6,4].…”

Section: Introductionunclassified

Evaluación de la huella hídrica del café en la estación experimental Pueblo Bello

Cotes-García

Díaz-Muegue

Mendoza-Castro

2021

Aibi revista investig. adm. ing.

View full text Add to dashboard Cite

En este estudio se utilizó el software Cropwat 8.0, con el fin de evaluar la huella hídrica del café en la estación experimental Pueblo Bello en el departamento del Cesar, el cual se ve reflejado en la sostenibilidad Ambiental, social y económica de la huella hídrica. Esta metodología se basó en el manual de huella hídrica propuesto por Hoekstra et al, en donde para calcular la huella hídrica se tomó como referencia los datos climáticos para los años 2017 y 2018, los cuales sirvieron para calcular la huella hídrica verde y el Agua Virtual. Finalmente, los resultados mostraron que la huella hídrica en el 2017 fue 84,24 m3/año y para el 2018 fue 86,58 m3/año, lo cual demuestra que el consumo de agua en la estación experimental para estos años fue bajo, ya que para producir 1 Kg de café se requirió aproximadamente 0,3 litros de agua.

show abstract

A quantitative review of water footprint accounting and simulation for crop production based on publications during 2002–2018

Cited by 43 publications

References 62 publications

Historical simulation of maize water footprints with a new global gridded crop model ACEA

Historical simulation of maize water footprints with a new global gridded crop model ACEA

Historical simulation of maize water footprints with a new global gridded crop model ACEA

Evaluación de la huella hídrica del café en la estación experimental Pueblo Bello

Contact Info

Product

Resources

About