Unnikrishnan, H. orcid.org/0000-0002-4298-4939, Katharina Gerullis, M., Cox, M. et al. (1 more author) (2023) Unpacking dynamics of diverse nested resource systems through a diagnostic approach. Sustainability Science, 18 (1). pp. 153-180. ISSN 1862-4065
Abstract
The social–ecological systems (SES) framework (Ostrom 2009, Science. 325(5939):419–22) typologically decomposes SES characteristics into nested, tiered constituent variables. Yet, aligning the framework’s concepts of resource system (RS) and resource unit (RU) with realities of individual case studies poses challenges if the underlying SES is not a single RS, but a mid to large-scale nested RS (NRS). Using a diagnostic approach, we describe NRSs—and the activities and networks of adjacent action situations (NAAS) containing them. An NRS includes the larger RS and multiple interlinked semi-autonomous subsidiary RSs, each of which support simultaneous, differently managed appropriation of individual RUs. We further identify NAASs operating within NRSs in two diverse empirical cases—networks of lake systems in Bengaluru, India and German wheat breeding systems—representing a lever towards understanding transformation of SESs into sustainable futures. This paper contributes towards unpacking and diagnosing complexities within mid to large-scale RSs and their governance. It provides a generalizable, rigorous approach to SES case study analyses, thereby advancing methods for synthesis in sustainability science.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2023 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Social–ecological systems framework (SESF); Nested resource systems (NRS); Networked adjacent action situations (NAAS); Diagnosis; Case study analysis |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) The University of Sheffield > Faculty of Social Sciences (Sheffield) > Research Institutes Faculty of Social Sciences (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Jan 2023 10:36 |
Last Modified: | 31 Jan 2023 01:32 |
Status: | Published |
Publisher: | Springer Science and Business Media LLC |
Refereed: | Yes |
Identification Number: | 10.1007/s11625-022-01268-y |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:195182 |