Understanding the decline and resilience loss of a long-lived social-ecological system: insights from system dynamics

Tenza, Alicia; Legáz, Isabel; Martínez-Fernández, Julia; Gimenez, Andrés

doi:10.5751/es-09176-220215

Cited by 38 publications

(27 citation statements)

References 41 publications

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“…Supplementary Materials: The following are available online at http://www.mdpi.com/2071-1050/11/21/6073/s1, Table S1: Characteristics of the selected studies [70][71][72][73][74][75][76][77][78][79][80][81][82][83].…”

Section: Discussionmentioning

confidence: 99%

Operationalization and Measurement of Social-Ecological Resilience: A Systematic Review

González-Quintero

Ávila-Foucat

2019

Sustainability

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Academics and practitioners have become more interested in the operationalization and measurement of social-ecological resilience. An analysis of how social-ecological resilience has been operationalized and measured is crucial to understanding systems complexity and dynamics and for clarifying empirical cases of monitoring programmes in ways that enrich their utility and explanatory power. The literature shows that social-ecological resilience has been operationalized using the concepts of adaptability and absorption of disturbance. In addition, diversity and connectivity are principles that have been studied. Climate change in rural coastal regions is the most common stressor that has been studied, and the human dimension of such systems is the dominant focus. Systems interactions, feedbacks and thresholds are rarely identified or assessed. In addition, attributes of the system primarily using indicators are preferred over analysing causal relationships with models. Answering the question of what this resilience is for is a very important aspect of defining the system and the method for assessing resilience.

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Section: Discussionmentioning

confidence: 99%

Operationalization and Measurement of Social-Ecological Resilience: A Systematic Review

González-Quintero

Ávila-Foucat

2019

Sustainability

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“…In a transdisciplinary approach, we included nonacademic knowledge and feedback from local stakeholders related to pasture quality and management. The chosen methodological approach is widespread in the system dynamics literature (Brzezina et al 2017, Tenza et al 2017 as well as in modeling approaches involving stakeholders (Castella et al 2005, Lagabrielle et al 2010, but goes beyond existing literature by engaging in an exceptionally holistic interdisciplinary analysis.…”

Section: Discussionmentioning

confidence: 99%

“…Until now, up to 10 system archetypes are described in the literature (Kim and Anderson 1998), among them, e.g., Tragedy of the Commons, Drifting Goals, or Fixes that Fail. These have already been applied to explain different environment and resource-related problems in social-ecological systems (e.g., Prusty et al 2014, Brzezina et al 2017, and also to land use changes (Banson et al 2016, Turner et al 2016, Tenza et al 2017. These authors mainly analyzed single case studies, while multiple and comparative case studies using system archetypes have not been, to the best of our knowledge, yet conducted.…”

Section: Introductionmentioning

confidence: 99%

Archetypes of common village pasture problems in the South Caucasus: insights from comparative case studies in Georgia and Azerbaijan

Neudert¹,

Salzer²,

Allahverdiyeva³

et al. 2019

E&S

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Complex social-ecological systems (SES), especially systems with common pool resources, often exhibit system dynamics characterized by emergence, where system properties cannot be fully explained by input variables. This causes challenges when it comes to explaining resource use problems because problem dynamics can differ from case to case despite similar input variables. Archetype analysis with its focus on identifying building blocks of nature-society relations might provide a means to tackle emergence and complexity in the analysis of resource use problems in SES. Using data from inter-and transdisciplinary research investigating comparative case studies on common village pasture management in the Caucasus region, we use the archetype approach with a focus on system archetypes that place particular emphasis on recognizing recurrent structures and internal dynamics. We apply three system archetypes, the Tragedy of the Commons, Shifting the Burden, and Success to the Successful, to different aspects of interlinked management problems that occur repeatedly in the case study data. Using SES variables characterizing the cases, we discuss variable combinations that may trigger specific dynamics. Moreover, we explore interlinkages between archetypical problems and discuss possible solutions based on self-governance. We find that the archetype approach with a focus on system archetypes resulted in consistent explanations of problem dynamics leading to important additional insights into root causes and internal archetypical dynamics compared with existing knowledge. Regarding problem solutions and policy recommendations, we show that viewing archetypical problems as interlinked in their actual case-study context leads to different recommendations than when each archetype is viewed on its own.

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“…Pregenzer [11] believes that, in future nuclear system resilience research, new methodologies for soliciting expert opinions and analyzing historical data will be required to assess the relative strengths and potential unintended consequences of nonproliferation strategies. In a recent research by [12], for studying the long-lived socio-ecological systems in a causal loop diagram, multi-methods are applied. The methods include observation, expert opinion, and archive research.…”

Section: Resilience Of Complex Systemsmentioning

confidence: 99%

Machine Learning-Based Method for Urban Lifeline System Resilience Assessment in GIS*

Huang¹,

Ling²

2019

Geographic Information Systems and Science

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System resilience, the capability of a system to sustain and recover from deliberate attacks, accidents, or naturally occurring threats or incidents, is a key property to measure the degree of robustness and coupling effect of complex system. The systems of waste disposal, urban water supply, and electricity transmission are typical systems with complex and high coupling features. In this chapter, a methodology for measuring the system resilience of such systems is proposed. It is a process of integrated decision-making which contains two aspects: (1) a five-dimensional indicator framework of system resilience which includes attributes in infrastructural, economic, and social sectors and (2) a hybrid K-means algorithm, which combines entropy theory, bootstrapping, and analytic network process. Through utilizing real data, the methodology can assist to identify and classify the level of system resilience for different geographical regions which are sustained by lifeline systems. The calculation of algorithm, visualization of processed data, and classification of resilience level can be finally realized in geographic information system. Through utilizing by regional governments and local communities, the final result can serve to provide guideline for resource allocation and the prevention of huge economic loss in disasters.

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Understanding the decline and resilience loss of a long-lived social-ecological system: insights from system dynamics

Cited by 38 publications

References 41 publications

Operationalization and Measurement of Social-Ecological Resilience: A Systematic Review

Operationalization and Measurement of Social-Ecological Resilience: A Systematic Review

Archetypes of common village pasture problems in the South Caucasus: insights from comparative case studies in Georgia and Azerbaijan

Machine Learning-Based Method for Urban Lifeline System Resilience Assessment in GIS*

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