JOURNAL ARTICLE
Tracing (un)common senses in irrigation communities: Hegemonies and counter-hegemonies across Spain's Tagus-Segura interbasin transfer complex.
Published In: Environment & Planning E: Nature & Space, 2026, v. 9, n. 2. P. 487 1 of 3
Database: Environment Complete 2 of 3
Authored By: Bourguignon, Nicholas 3 of 3
Abstract
This article examines the hegemonic projects underpinning Spain's hydraulic infrastructure, specifically the Tagus-Segura Interbasin Water Transfer (TSA), and the widespread adoption of drip irrigation, situating them within a hydrosocial territorial framework. It argues that these projects, justified by dominant common senses—such as correcting a national hydrological imbalance and promoting water efficiency—produce distinct interconnected territories characterized as hegemonic core, hegemonic frontier, and counterhegemonic, each experiencing and responding to these projects differently. The hegemonic core territories, mainly in the Segura basin, largely accept and reinforce these common senses, while frontier territories in the Tagus basin exhibit tensions and emerging new hegemonies, and counterhegemonic territories resist dominant narratives by valuing traditional irrigation practices and multidimensional water values. The study highlights how these hegemonies and counterhegemonies shape water governance, rural development, and social relations, emphasizing the role of state and non-state actors in producing consent and resistance within Spain's irrigation landscapes.
Additional Information
- Source:Environment & Planning E: Nature & Space. 2026/04, Vol. 9, Issue 2, p487
- Document Type:Article
- Subject Area:Environmental Sciences
- Publication Date:2026
- ISSN:2514-8486
- DOI:10.1177/25148486251389768
- Accession Number:192308794
- Copyright Statement:Copyright of Environment & Planning E: Nature & Space is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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