Preprint Concept Paper Version 1 This version is not peer-reviewed

Explaining and Measuring Social-Ecological Pathways: The Case of Global Changes and Water Security

Version 1 : Received: 29 October 2018 / Approved: 30 October 2018 / Online: 30 October 2018 (10:04:10 CET)
Version 2 : Received: 20 November 2018 / Approved: 22 November 2018 / Online: 22 November 2018 (14:47:31 CET)

A peer-reviewed article of this Preprint also exists.

Bolognesi, T.; Gerlak, A.K.; Giuliani, G. Explaining and Measuring Social-Ecological Pathways: The Case of Global Changes and Water Security. Sustainability 2018, 10, 4378. Bolognesi, T.; Gerlak, A.K.; Giuliani, G. Explaining and Measuring Social-Ecological Pathways: The Case of Global Changes and Water Security. Sustainability 2018, 10, 4378.

Journal reference: Sustainability 2018, 10, 4378
DOI: 10.3390/su10124378

Abstract

The Social-Ecological Systems (SES) framework serves as a valuable framework to explore and understand social and ecological interactions, and pathways in water governance. Yet, it lacks a robust understanding of change. We argue an analytical and methodological approach to engaging global changes in SES is critical to strengthening the scope and relevance of the SES framework. Relying on SES and resilience thinking, we propose an institutional and cognitive model of change that institutions and natural resources systems co-evolve to provide a dynamic understanding of SES that stands on three causal mechanisms: institutional complexity trap, rigidity trap, and learning processes. We illustrate how Data Cube technology could overcome current limitations and offer reliable avenues to test hypothesis about the dynamics of social-ecological systems and water security by offering to combine spatial and time data with no major technical requirements for users.

Subject Areas

Social-Ecological System; Water security; Governance; Institution; Learning; Data-Cube

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