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The power to define resilience in social–hydrological systems: Toward a power‐sensitive resilience framework

AbstractSince the early work on defining and analyzing resilience in domains such as engineering, ecology and psychology, the concept has gained significant traction in many fields of research and practice. It has also become a very powerful justification for various policy goals in the water sector, evident in terms like flood resilience, river resilience, and water resilience. At the same time, a substantial body of literature has developed that questions the resilience concept's systems ontology, natural science roots and alleged conservatism, and criticizes resilience thinking for not addressing power issues. In this study, we review these critiques with the aim to develop a framework for power‐sensitive resilience analysis. We build on the three faces of power to conceptualize the power to define resilience. We structure our discussion of the relevant literature into five questions that need to be reflected upon when applying the resilience concept to social–hydrological systems. These questions address: (a) resilience of what, (b) resilience at what scale, (c) resilience to what, (d) resilience for what purpose, and (e) resilience for whom; and the implications of the political choices involved in defining these parameters for resilience building or analysis. Explicitly considering these questions enables making political choices explicit in order to support negotiation or contestation on how resilience is defined and used.This article is categorized under: Human Water > Water Governance. Engineering Water > Planning Water.
- University of Birmingham United Kingdom
- University of Geneva Switzerland
- Royal Institute of Technology Sweden
- Vrije Universiteit Amsterdam Netherlands
- Free University of Amsterdam Pure VU Amsterdam Netherlands
Climate Change and Adaptive Land and Water Management, Other Social Sciences not elsewhere specified, Climate Change, Social Sciences, WASS, Wiskundige en Statistische Methoden - Biometris, Klimaatverandering en adaptief land- en watermanagement, Klimaatverandering, power, Leerstoelgroep Bestuurskunde, Life Science, resilience, Mathematical and Statistical Methods - Biometris, Övrig annan samhällsvetenskap, info:eu-repo/classification/ddc/550, WIMEK, Peace and Conflict Studies, Public Administration and Policy, Freds- och konfliktforskning, Biometris (WU MAT), Alterra - Klimaatverandering en adaptief land- en watermanagement, Waterbeheer, Samhällsvetenskap, Water Resources Management, social–hydrological systems, Climate Resilience, Klimaatbestendigheid, Sociology of Development and Change, Bestuurskunde, Water Systems and Global Change, Sociologie van Ontwikkeling en Verandering, SDG 6 - Clean Water and Sanitation, Alterra - Climate change and adaptive land and water management, Energie, ddc: ddc:550
Climate Change and Adaptive Land and Water Management, Other Social Sciences not elsewhere specified, Climate Change, Social Sciences, WASS, Wiskundige en Statistische Methoden - Biometris, Klimaatverandering en adaptief land- en watermanagement, Klimaatverandering, power, Leerstoelgroep Bestuurskunde, Life Science, resilience, Mathematical and Statistical Methods - Biometris, Övrig annan samhällsvetenskap, info:eu-repo/classification/ddc/550, WIMEK, Peace and Conflict Studies, Public Administration and Policy, Freds- och konfliktforskning, Biometris (WU MAT), Alterra - Klimaatverandering en adaptief land- en watermanagement, Waterbeheer, Samhällsvetenskap, Water Resources Management, social–hydrological systems, Climate Resilience, Klimaatbestendigheid, Sociology of Development and Change, Bestuurskunde, Water Systems and Global Change, Sociologie van Ontwikkeling en Verandering, SDG 6 - Clean Water and Sanitation, Alterra - Climate change and adaptive land and water management, Energie, ddc: ddc:550
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).42 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
