The social flood pulse and socio‐ecological transformation of the Tonle Sap.

  • Published In: Singapore Journal of Tropical Geography, 2025, v. 46, n. 1. P. 67 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Sithirith, Mak; Grundy‐Warr, Carl 3 of 3

Abstract

The flood pulse is a hydrological concept of the river‐lake‐floodplain system, demonstrating the varying hydrological regimes between wet and dry seasons, which drive productivity and interaction of living and non‐living organisms in river‐lake‐floodplain systems (RLFS). This paper posits that the flood pulse is a 'social,' physical, and hydrological driver of change in the Mekong Basin, particularly for the 'pulsing heart' of Tonle Sap Lake (TSL). Although the flood pulse provides a comprehensive knowledge of RLFS, there has been less attention on how the flood pulse contributes to the development of river‐lake society. This paper examines the social aspects of the flood pulse in RLFS and explores how communities adapt to changing hydrological regimes between the wet and dry seasons. It is argued that the physical and social dimensions of the flood pulse should be essential considerations in water governance, environmental and social policy arenas. It concludes that the flood pulse shapes human settlements in TSL into water‐based, water‐land‐based, and land‐based communities, induces vertical and horizontal mobilities of communities between the wet and dry seasons, and influences the organization of productive spaces and non‐spatial activities to sustain livelihoods. Developments such as hydropower are causing ecological and social transformations in TSL. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Singapore Journal of Tropical Geography. 2025/01, Vol. 46, Issue 1, p67
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2025
  • ISSN:0129-7619
  • DOI:10.1111/sjtg.12573
  • Accession Number:183851353
  • Copyright Statement:Copyright of Singapore Journal of Tropical Geography is the property of Wiley-Blackwell 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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