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פותח על ידי קלירמאש פתרונות בע"מ -
Virtual water flows and water-footprint of agricultural crop production, import and export: A case study for Israel
Year:
2018
Source of publication :
Science of the Total Environment
Authors :
ברנשטיין, נירית
;
.
שטול-טראורינג, אליאב
;
.
Volume :
622-623
Co-Authors:
Facilitators :
From page:
1438
To page:
1447
(
Total pages:
10
)
Abstract:
Agriculture is the largest global consumer of freshwater. As the volume of international trade continues to rise, so does the understanding that trade of water-intensive crops from areas with high precipitation, to arid regions can help mitigate water scarcity, highlighting the importance of crop water accounting. Virtual-Water, or Water-Footprint [WF] of agricultural crops, is a powerful indicator for assessing the extent of water use by plants, contamination of water bodies by agricultural practices and trade between countries, which underlies any international trade of crops. Most available studies of virtual-water flows by import/export of agricultural commodities were based on global databases, which are considered to be of limited accuracy. The present study analyzes the WF of crop production, import, and export on a country level, using Israel as a case study, comparing data from two high-resolution local databases and two global datasets. Results for local datasets demonstrate a WF of ~ 1200 Million Cubic Meters [MCM]/year) for total crop production, ~ 1000 MCM/year for import and ~ 250 MCM/year for export. Fruits and vegetables comprise ~ 80% of Export WF (~ 200 MCM/year), ~ 50% of crop production and only ~ 20% of the imports. Economic Water Productivity [EWP] ($/m3) for fruits and vegetables is 1.5 higher compared to other crops. Moreover, the results based on local and global datasets varied significantly, demonstrating the importance of developing high-resolution local datasets based on local crop coefficients. Performing high resolution WF analysis can help in developing agricultural policies that include support for low WF/high EWP and limit high WF/low EWP crop export, where water availability is limited. © 2017 Elsevier B.V.
Note:
Related Files :
Agriculture
Crops
export
Fruits
Fruits and vegetables
import
Israel
vegetables
עוד תגיות
תוכן קשור
More details
DOI :
10.1016/j.scitotenv.2017.12.012
Article number:
0
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
27570
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:32
Scientific Publication
Virtual water flows and water-footprint of agricultural crop production, import and export: A case study for Israel
622-623
Virtual water flows and water-footprint of agricultural crop production, import and export: A case study for Israel
Agriculture is the largest global consumer of freshwater. As the volume of international trade continues to rise, so does the understanding that trade of water-intensive crops from areas with high precipitation, to arid regions can help mitigate water scarcity, highlighting the importance of crop water accounting. Virtual-Water, or Water-Footprint [WF] of agricultural crops, is a powerful indicator for assessing the extent of water use by plants, contamination of water bodies by agricultural practices and trade between countries, which underlies any international trade of crops. Most available studies of virtual-water flows by import/export of agricultural commodities were based on global databases, which are considered to be of limited accuracy. The present study analyzes the WF of crop production, import, and export on a country level, using Israel as a case study, comparing data from two high-resolution local databases and two global datasets. Results for local datasets demonstrate a WF of ~ 1200 Million Cubic Meters [MCM]/year) for total crop production, ~ 1000 MCM/year for import and ~ 250 MCM/year for export. Fruits and vegetables comprise ~ 80% of Export WF (~ 200 MCM/year), ~ 50% of crop production and only ~ 20% of the imports. Economic Water Productivity [EWP] ($/m3) for fruits and vegetables is 1.5 higher compared to other crops. Moreover, the results based on local and global datasets varied significantly, demonstrating the importance of developing high-resolution local datasets based on local crop coefficients. Performing high resolution WF analysis can help in developing agricultural policies that include support for low WF/high EWP and limit high WF/low EWP crop export, where water availability is limited. © 2017 Elsevier B.V.
Scientific Publication
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