Global sensitivity of high‐resolution estimates of crop water footprint
Most of the human appropriation of freshwater resources is for agriculture. Water availability is a major constraint to mankind's ability to produce food. The notion of virtual water content ( VWC ), also known as crop water footprint, provides an effective tool to investigate the linkage betwe...
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| Autor*in: |
Tuninetti, Marta [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Rechteinformationen: |
Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Water resources research - Hoboken, NJ : Wiley, 1965, 51(2015), 10, Seite 8257-8272 |
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| Übergeordnetes Werk: |
volume:51 ; year:2015 ; number:10 ; pages:8257-8272 |
| Links: |
|---|
| DOI / URN: |
10.1002/2015WR017148 |
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| 520 | |a Most of the human appropriation of freshwater resources is for agriculture. Water availability is a major constraint to mankind's ability to produce food. The notion of virtual water content ( VWC ), also known as crop water footprint, provides an effective tool to investigate the linkage between food and water resources as a function of climate, soil, and agricultural practices. The spatial variability in the virtual water content of crops is here explored, disentangling its dependency on climate and crop yields and assessing the sensitivity of VWC estimates to parameter variability and uncertainty. Here we calculate the virtual water content of four staple crops (i.e., wheat, rice, maize, and soybean) for the entire world developing a high‐resolution (5 × 5 arc min) model, and we evaluate the VWC sensitivity to input parameters. We find that food production almost entirely depends on green water (>90%), but, when applied, irrigation makes crop production more water efficient, thus requiring less water. The spatial variability of the VWC is mostly controlled by the spatial patterns of crop yields with an average correlation coefficient of 0.83. The results of the sensitivity analysis show that wheat is most sensitive to the length of the growing period, rice to reference evapotranspiration, maize and soybean to the crop planting date. The VWC sensitivity varies not only among crops, but also across the harvested areas of the world, even at the subnational scale. The virtual water content of crops is highly variable in space VWC high‐resolution maps are obtained with up‐to‐date data sets The VWC is most sensitive to agricultural practices than climate | ||
| 540 | |a Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. | ||
| 650 | 4 | |a virtual water content | |
| 650 | 4 | |a multicropping practices | |
| 650 | 4 | |a crop production | |
| 650 | 4 | |a spatial heterogeneity | |
| 650 | 4 | |a water efficiency | |
| 650 | 4 | |a sensitivity analysis | |
| 700 | 1 | |a Tamea, Stefania |4 oth | |
| 700 | 1 | |a D'Odorico, Paolo |4 oth | |
| 700 | 1 | |a Laio, Francesco |4 oth | |
| 700 | 1 | |a Ridolfi, Luca |4 oth | |
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10.1002/2015WR017148 doi PQ20160617 (DE-627)OLC1965566049 (DE-599)GBVOLC1965566049 (PRQ)p1268-99a27cb9a0fa22472f1df1181d2584b7a8f0c89df2ac155ba446ad8c819756520 (KEY)0046260820150000051001008257globalsensitivityofhighresolutionestimatesofcropwa DE-627 ger DE-627 rakwb eng 550 DNB 38.85 bkl Tuninetti, Marta verfasserin aut Global sensitivity of high‐resolution estimates of crop water footprint 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Most of the human appropriation of freshwater resources is for agriculture. Water availability is a major constraint to mankind's ability to produce food. The notion of virtual water content ( VWC ), also known as crop water footprint, provides an effective tool to investigate the linkage between food and water resources as a function of climate, soil, and agricultural practices. The spatial variability in the virtual water content of crops is here explored, disentangling its dependency on climate and crop yields and assessing the sensitivity of VWC estimates to parameter variability and uncertainty. Here we calculate the virtual water content of four staple crops (i.e., wheat, rice, maize, and soybean) for the entire world developing a high‐resolution (5 × 5 arc min) model, and we evaluate the VWC sensitivity to input parameters. We find that food production almost entirely depends on green water (>90%), but, when applied, irrigation makes crop production more water efficient, thus requiring less water. The spatial variability of the VWC is mostly controlled by the spatial patterns of crop yields with an average correlation coefficient of 0.83. The results of the sensitivity analysis show that wheat is most sensitive to the length of the growing period, rice to reference evapotranspiration, maize and soybean to the crop planting date. The VWC sensitivity varies not only among crops, but also across the harvested areas of the world, even at the subnational scale. The virtual water content of crops is highly variable in space VWC high‐resolution maps are obtained with up‐to‐date data sets The VWC is most sensitive to agricultural practices than climate Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. virtual water content multicropping practices crop production spatial heterogeneity water efficiency sensitivity analysis Tamea, Stefania oth D'Odorico, Paolo oth Laio, Francesco oth Ridolfi, Luca oth Enthalten in Water resources research Hoboken, NJ : Wiley, 1965 51(2015), 10, Seite 8257-8272 (DE-627)129088285 (DE-600)5564-5 (DE-576)014422980 0043-1397 nnns volume:51 year:2015 number:10 pages:8257-8272 http://dx.doi.org/10.1002/2015WR017148 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015WR017148/abstract http://search.proquest.com/docview/1757743639 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_2027 GBV_ILN_4219 38.85 AVZ AR 51 2015 10 8257-8272 |
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10.1002/2015WR017148 doi PQ20160617 (DE-627)OLC1965566049 (DE-599)GBVOLC1965566049 (PRQ)p1268-99a27cb9a0fa22472f1df1181d2584b7a8f0c89df2ac155ba446ad8c819756520 (KEY)0046260820150000051001008257globalsensitivityofhighresolutionestimatesofcropwa DE-627 ger DE-627 rakwb eng 550 DNB 38.85 bkl Tuninetti, Marta verfasserin aut Global sensitivity of high‐resolution estimates of crop water footprint 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Most of the human appropriation of freshwater resources is for agriculture. Water availability is a major constraint to mankind's ability to produce food. The notion of virtual water content ( VWC ), also known as crop water footprint, provides an effective tool to investigate the linkage between food and water resources as a function of climate, soil, and agricultural practices. The spatial variability in the virtual water content of crops is here explored, disentangling its dependency on climate and crop yields and assessing the sensitivity of VWC estimates to parameter variability and uncertainty. Here we calculate the virtual water content of four staple crops (i.e., wheat, rice, maize, and soybean) for the entire world developing a high‐resolution (5 × 5 arc min) model, and we evaluate the VWC sensitivity to input parameters. We find that food production almost entirely depends on green water (>90%), but, when applied, irrigation makes crop production more water efficient, thus requiring less water. The spatial variability of the VWC is mostly controlled by the spatial patterns of crop yields with an average correlation coefficient of 0.83. The results of the sensitivity analysis show that wheat is most sensitive to the length of the growing period, rice to reference evapotranspiration, maize and soybean to the crop planting date. The VWC sensitivity varies not only among crops, but also across the harvested areas of the world, even at the subnational scale. The virtual water content of crops is highly variable in space VWC high‐resolution maps are obtained with up‐to‐date data sets The VWC is most sensitive to agricultural practices than climate Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. virtual water content multicropping practices crop production spatial heterogeneity water efficiency sensitivity analysis Tamea, Stefania oth D'Odorico, Paolo oth Laio, Francesco oth Ridolfi, Luca oth Enthalten in Water resources research Hoboken, NJ : Wiley, 1965 51(2015), 10, Seite 8257-8272 (DE-627)129088285 (DE-600)5564-5 (DE-576)014422980 0043-1397 nnns volume:51 year:2015 number:10 pages:8257-8272 http://dx.doi.org/10.1002/2015WR017148 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015WR017148/abstract http://search.proquest.com/docview/1757743639 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_2027 GBV_ILN_4219 38.85 AVZ AR 51 2015 10 8257-8272 |
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10.1002/2015WR017148 doi PQ20160617 (DE-627)OLC1965566049 (DE-599)GBVOLC1965566049 (PRQ)p1268-99a27cb9a0fa22472f1df1181d2584b7a8f0c89df2ac155ba446ad8c819756520 (KEY)0046260820150000051001008257globalsensitivityofhighresolutionestimatesofcropwa DE-627 ger DE-627 rakwb eng 550 DNB 38.85 bkl Tuninetti, Marta verfasserin aut Global sensitivity of high‐resolution estimates of crop water footprint 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Most of the human appropriation of freshwater resources is for agriculture. Water availability is a major constraint to mankind's ability to produce food. The notion of virtual water content ( VWC ), also known as crop water footprint, provides an effective tool to investigate the linkage between food and water resources as a function of climate, soil, and agricultural practices. The spatial variability in the virtual water content of crops is here explored, disentangling its dependency on climate and crop yields and assessing the sensitivity of VWC estimates to parameter variability and uncertainty. Here we calculate the virtual water content of four staple crops (i.e., wheat, rice, maize, and soybean) for the entire world developing a high‐resolution (5 × 5 arc min) model, and we evaluate the VWC sensitivity to input parameters. We find that food production almost entirely depends on green water (>90%), but, when applied, irrigation makes crop production more water efficient, thus requiring less water. The spatial variability of the VWC is mostly controlled by the spatial patterns of crop yields with an average correlation coefficient of 0.83. The results of the sensitivity analysis show that wheat is most sensitive to the length of the growing period, rice to reference evapotranspiration, maize and soybean to the crop planting date. The VWC sensitivity varies not only among crops, but also across the harvested areas of the world, even at the subnational scale. The virtual water content of crops is highly variable in space VWC high‐resolution maps are obtained with up‐to‐date data sets The VWC is most sensitive to agricultural practices than climate Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. virtual water content multicropping practices crop production spatial heterogeneity water efficiency sensitivity analysis Tamea, Stefania oth D'Odorico, Paolo oth Laio, Francesco oth Ridolfi, Luca oth Enthalten in Water resources research Hoboken, NJ : Wiley, 1965 51(2015), 10, Seite 8257-8272 (DE-627)129088285 (DE-600)5564-5 (DE-576)014422980 0043-1397 nnns volume:51 year:2015 number:10 pages:8257-8272 http://dx.doi.org/10.1002/2015WR017148 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015WR017148/abstract http://search.proquest.com/docview/1757743639 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_2027 GBV_ILN_4219 38.85 AVZ AR 51 2015 10 8257-8272 |
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10.1002/2015WR017148 doi PQ20160617 (DE-627)OLC1965566049 (DE-599)GBVOLC1965566049 (PRQ)p1268-99a27cb9a0fa22472f1df1181d2584b7a8f0c89df2ac155ba446ad8c819756520 (KEY)0046260820150000051001008257globalsensitivityofhighresolutionestimatesofcropwa DE-627 ger DE-627 rakwb eng 550 DNB 38.85 bkl Tuninetti, Marta verfasserin aut Global sensitivity of high‐resolution estimates of crop water footprint 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Most of the human appropriation of freshwater resources is for agriculture. Water availability is a major constraint to mankind's ability to produce food. The notion of virtual water content ( VWC ), also known as crop water footprint, provides an effective tool to investigate the linkage between food and water resources as a function of climate, soil, and agricultural practices. The spatial variability in the virtual water content of crops is here explored, disentangling its dependency on climate and crop yields and assessing the sensitivity of VWC estimates to parameter variability and uncertainty. Here we calculate the virtual water content of four staple crops (i.e., wheat, rice, maize, and soybean) for the entire world developing a high‐resolution (5 × 5 arc min) model, and we evaluate the VWC sensitivity to input parameters. We find that food production almost entirely depends on green water (>90%), but, when applied, irrigation makes crop production more water efficient, thus requiring less water. The spatial variability of the VWC is mostly controlled by the spatial patterns of crop yields with an average correlation coefficient of 0.83. The results of the sensitivity analysis show that wheat is most sensitive to the length of the growing period, rice to reference evapotranspiration, maize and soybean to the crop planting date. The VWC sensitivity varies not only among crops, but also across the harvested areas of the world, even at the subnational scale. The virtual water content of crops is highly variable in space VWC high‐resolution maps are obtained with up‐to‐date data sets The VWC is most sensitive to agricultural practices than climate Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. virtual water content multicropping practices crop production spatial heterogeneity water efficiency sensitivity analysis Tamea, Stefania oth D'Odorico, Paolo oth Laio, Francesco oth Ridolfi, Luca oth Enthalten in Water resources research Hoboken, NJ : Wiley, 1965 51(2015), 10, Seite 8257-8272 (DE-627)129088285 (DE-600)5564-5 (DE-576)014422980 0043-1397 nnns volume:51 year:2015 number:10 pages:8257-8272 http://dx.doi.org/10.1002/2015WR017148 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015WR017148/abstract http://search.proquest.com/docview/1757743639 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_2027 GBV_ILN_4219 38.85 AVZ AR 51 2015 10 8257-8272 |
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10.1002/2015WR017148 doi PQ20160617 (DE-627)OLC1965566049 (DE-599)GBVOLC1965566049 (PRQ)p1268-99a27cb9a0fa22472f1df1181d2584b7a8f0c89df2ac155ba446ad8c819756520 (KEY)0046260820150000051001008257globalsensitivityofhighresolutionestimatesofcropwa DE-627 ger DE-627 rakwb eng 550 DNB 38.85 bkl Tuninetti, Marta verfasserin aut Global sensitivity of high‐resolution estimates of crop water footprint 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Most of the human appropriation of freshwater resources is for agriculture. Water availability is a major constraint to mankind's ability to produce food. The notion of virtual water content ( VWC ), also known as crop water footprint, provides an effective tool to investigate the linkage between food and water resources as a function of climate, soil, and agricultural practices. The spatial variability in the virtual water content of crops is here explored, disentangling its dependency on climate and crop yields and assessing the sensitivity of VWC estimates to parameter variability and uncertainty. Here we calculate the virtual water content of four staple crops (i.e., wheat, rice, maize, and soybean) for the entire world developing a high‐resolution (5 × 5 arc min) model, and we evaluate the VWC sensitivity to input parameters. We find that food production almost entirely depends on green water (>90%), but, when applied, irrigation makes crop production more water efficient, thus requiring less water. The spatial variability of the VWC is mostly controlled by the spatial patterns of crop yields with an average correlation coefficient of 0.83. The results of the sensitivity analysis show that wheat is most sensitive to the length of the growing period, rice to reference evapotranspiration, maize and soybean to the crop planting date. The VWC sensitivity varies not only among crops, but also across the harvested areas of the world, even at the subnational scale. The virtual water content of crops is highly variable in space VWC high‐resolution maps are obtained with up‐to‐date data sets The VWC is most sensitive to agricultural practices than climate Nutzungsrecht: © 2015. American Geophysical Union. All Rights Reserved. virtual water content multicropping practices crop production spatial heterogeneity water efficiency sensitivity analysis Tamea, Stefania oth D'Odorico, Paolo oth Laio, Francesco oth Ridolfi, Luca oth Enthalten in Water resources research Hoboken, NJ : Wiley, 1965 51(2015), 10, Seite 8257-8272 (DE-627)129088285 (DE-600)5564-5 (DE-576)014422980 0043-1397 nnns volume:51 year:2015 number:10 pages:8257-8272 http://dx.doi.org/10.1002/2015WR017148 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015WR017148/abstract http://search.proquest.com/docview/1757743639 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO GBV_ILN_2027 GBV_ILN_4219 38.85 AVZ AR 51 2015 10 8257-8272 |
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Water availability is a major constraint to mankind's ability to produce food. The notion of virtual water content ( VWC ), also known as crop water footprint, provides an effective tool to investigate the linkage between food and water resources as a function of climate, soil, and agricultural practices. The spatial variability in the virtual water content of crops is here explored, disentangling its dependency on climate and crop yields and assessing the sensitivity of VWC estimates to parameter variability and uncertainty. Here we calculate the virtual water content of four staple crops (i.e., wheat, rice, maize, and soybean) for the entire world developing a high‐resolution (5 × 5 arc min) model, and we evaluate the VWC sensitivity to input parameters. We find that food production almost entirely depends on green water (>90%), but, when applied, irrigation makes crop production more water efficient, thus requiring less water. 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global sensitivity of high‐resolution estimates of crop water footprint |
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Global sensitivity of high‐resolution estimates of crop water footprint |
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Most of the human appropriation of freshwater resources is for agriculture. Water availability is a major constraint to mankind's ability to produce food. The notion of virtual water content ( VWC ), also known as crop water footprint, provides an effective tool to investigate the linkage between food and water resources as a function of climate, soil, and agricultural practices. The spatial variability in the virtual water content of crops is here explored, disentangling its dependency on climate and crop yields and assessing the sensitivity of VWC estimates to parameter variability and uncertainty. Here we calculate the virtual water content of four staple crops (i.e., wheat, rice, maize, and soybean) for the entire world developing a high‐resolution (5 × 5 arc min) model, and we evaluate the VWC sensitivity to input parameters. We find that food production almost entirely depends on green water (>90%), but, when applied, irrigation makes crop production more water efficient, thus requiring less water. The spatial variability of the VWC is mostly controlled by the spatial patterns of crop yields with an average correlation coefficient of 0.83. The results of the sensitivity analysis show that wheat is most sensitive to the length of the growing period, rice to reference evapotranspiration, maize and soybean to the crop planting date. The VWC sensitivity varies not only among crops, but also across the harvested areas of the world, even at the subnational scale. The virtual water content of crops is highly variable in space VWC high‐resolution maps are obtained with up‐to‐date data sets The VWC is most sensitive to agricultural practices than climate |
| abstractGer |
Most of the human appropriation of freshwater resources is for agriculture. Water availability is a major constraint to mankind's ability to produce food. The notion of virtual water content ( VWC ), also known as crop water footprint, provides an effective tool to investigate the linkage between food and water resources as a function of climate, soil, and agricultural practices. The spatial variability in the virtual water content of crops is here explored, disentangling its dependency on climate and crop yields and assessing the sensitivity of VWC estimates to parameter variability and uncertainty. Here we calculate the virtual water content of four staple crops (i.e., wheat, rice, maize, and soybean) for the entire world developing a high‐resolution (5 × 5 arc min) model, and we evaluate the VWC sensitivity to input parameters. We find that food production almost entirely depends on green water (>90%), but, when applied, irrigation makes crop production more water efficient, thus requiring less water. The spatial variability of the VWC is mostly controlled by the spatial patterns of crop yields with an average correlation coefficient of 0.83. The results of the sensitivity analysis show that wheat is most sensitive to the length of the growing period, rice to reference evapotranspiration, maize and soybean to the crop planting date. The VWC sensitivity varies not only among crops, but also across the harvested areas of the world, even at the subnational scale. The virtual water content of crops is highly variable in space VWC high‐resolution maps are obtained with up‐to‐date data sets The VWC is most sensitive to agricultural practices than climate |
| abstract_unstemmed |
Most of the human appropriation of freshwater resources is for agriculture. Water availability is a major constraint to mankind's ability to produce food. The notion of virtual water content ( VWC ), also known as crop water footprint, provides an effective tool to investigate the linkage between food and water resources as a function of climate, soil, and agricultural practices. The spatial variability in the virtual water content of crops is here explored, disentangling its dependency on climate and crop yields and assessing the sensitivity of VWC estimates to parameter variability and uncertainty. Here we calculate the virtual water content of four staple crops (i.e., wheat, rice, maize, and soybean) for the entire world developing a high‐resolution (5 × 5 arc min) model, and we evaluate the VWC sensitivity to input parameters. We find that food production almost entirely depends on green water (>90%), but, when applied, irrigation makes crop production more water efficient, thus requiring less water. The spatial variability of the VWC is mostly controlled by the spatial patterns of crop yields with an average correlation coefficient of 0.83. The results of the sensitivity analysis show that wheat is most sensitive to the length of the growing period, rice to reference evapotranspiration, maize and soybean to the crop planting date. The VWC sensitivity varies not only among crops, but also across the harvested areas of the world, even at the subnational scale. The virtual water content of crops is highly variable in space VWC high‐resolution maps are obtained with up‐to‐date data sets The VWC is most sensitive to agricultural practices than climate |
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Global sensitivity of high‐resolution estimates of crop water footprint |
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