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Policy-relevant indicators for semi-arid nations: the water footprint of crop production and supply utilization of Cyprus

journal contribution
posted on 2014-08-01, 00:00 authored by C Zoumides, A Bruggeman, Michalis HadjikakouMichalis Hadjikakou, T Zachariadis
The water footprint is an indicator of water use that reveals the inter-linkages between production, trade and consumption patterns. Nevertheless, it has been characterized as a partial tool to be used alongside other indicators and also lacks a temporal analysis in most national and regional assessments. In order to enhance the policy relevance of the water footprint, this paper employs a supply utilization approach related to crop products along with two complementary indicators, namely the economic productivity of crop water use, and a temporally explicit blue water scarcity index. This set of indicators is applied to the semi-arid island of Cyprus over the period 1995-2009. The total water footprint of crop supply (food, feed and other end-uses) was found to be in the range of 1390-2135 Mm 3 /year; on average, 13% was blue water and 87% green water. The supply utilization analysis reveals a high green water import dependency, mainly embedded in crops that are destined for feed ingredients. The gross value generated from irrigated cropland justifies the tendency of exporting crops with higher blue water content. However, the scarcity index reveals an unsustainable blue water footprint, which exceeds the natural sustainable supply. Overall, the interplay in the set of indicators examined facilitates an improved understanding of the trade-offs between different policy objectives, while the temporal analysis highlights the importance of assessing national water footprints on a year-to-year basis.

History

Journal

Ecological indicators

Volume

43

Pagination

205 - 214

Publisher

Elsevier

Location

Amsterdam, The Netherlands

ISSN

1470-160X

Language

eng

Publication classification

C Journal article; C1.1 Refereed article in a scholarly journal

Copyright notice

2014, Elsevier