Dataset extent

Water Footprint Accounting for Fruit and Vegetable Crops in South Africa

This research project investigated water footprint (WF) metrics for important fruit and vegetable crops in South Africa. The study explored various WF assessment methodologies, including those from the Water Footprint Network (WFN) and life cycle assessment (LCA) approaches. Two catchment case studies, the Steenkoppies Aquifer and the Olifants-Doorn Water Management Area, were utilized to evaluate blue, green, and grey WFs. The research aimed to interpret the usefulness of generated information for water resource management and consumer awareness.

Data and Resources

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Additional Info

Field	Value
Email	vanderLaanM@arc.agric.za
Authors	Author 1 Author first name Michael Author surname van der Laan Email michael.vanderlaan@up.ac.za Author organization University of Pretoria Department Department of Plant and Soil Sciences Is this author a contact person for the dataset? true
Contact person	Contact 1 Contact name Michael Email michael.vanderlaan@up.ac.za Contact organization University of Pretoria Department Department of Plant and Soil Sciences
Recommended citation	VAN DER LAAN M (Ed.) (2017) Application of water footprint accounting for selected fruit and vegetable crops in South Africa, WRC Report No. TT 722/17. Water Research Commission, Pretoria.
Did the author / contact organization collect the data?	true
Name of organization that collected the data	University of Pretoria
Dataset language	English
Publisher	Water Research Commission
Publication date	2017-06-01
Project number	K5/2273//4
License	Open (Creative commons)
License URL	https://creativecommons.org/licenses/by/4.0/
Keywords	water footprint, fruit crops, vegetable crops, Steenkoppies Aquifer, Olifants-Doorn WMA, blue water, green water, grey water
Geographic location or bounding box coordinates	[-20.629147, 13.165308, -35.2462649, 35.7811468]
Topic category	Agriculture
Data structure category	Semi-structured (does not fully conform to the tabular format of structured data, but may contain tags or markers identifying properties to arrange it into an organisational framework)
Uploader estimation of extent to which data have been processed	Refined
Is the data time series or static	Both
Data reference date	Data reference date 1 Data reference date (from) 2011-10-01 Data reference date (to) 2017-06-01
Alternate identifier	ISBN 978-1-4312-0898-2
Vertical extent datum	masl
Vertical minimum-maximum extent	Vertical minimum-maximum extent 1 Minimum vertical extent 0 Maximum vertical extent 3451
I agree to the data management plan and terms and conditions of the WRO	true