The Role of Evolutionary Studies in Education for Sustainable Development

2019 ◽  
pp. 249-272 ◽  
Author(s):  
Dustin Eirdosh ◽  
Susan Hanisch
Keyword(s):  
Sustainable Development ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Integrated Approach ◽  
Education For Sustainable Development ◽  
Ecological Systems ◽  
Social Ecological Systems ◽  
Social Ecological ◽  
Evolutionary Studies ◽  
Complex Adaptive

Evolutionary Studies (EvoS) examines the emergence and persistence of complex adaptive systems, including human social-ecological systems. Education for Sustainable Development (ESD) aims to empower students with the skills to develop and sustain human social-ecological systems that reflect the shared values of our species. The aims of EvoS and ESD have clear overlaps, and yet these two fields remain as distant islands of thought with few academic bridges between them. This chapter explores the connections between EvoS and ESD from historical, theoretical, and applied perspectives and presents the value of an integrated approach. The authors argue the strengths of this approach include its cumulative evidence base from wide-ranging disciplines, its explanatory power, and its overall simplicity.

Social-ecological systems as complex adaptive systems: modeling and policy implications

2012 ◽  
Vol 18 (2) ◽  
pp. 111-132 ◽  
Author(s):  
Simon Levin ◽  
Tasos Xepapadeas ◽  
Anne-Sophie Crépin ◽  
Jon Norberg ◽  
Aart de Zeeuw ◽  
...  
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Ecological Systems ◽  
Policy Implications ◽  
Strategic Interactions ◽  
Social Ecological Systems ◽  
Social Ecological ◽  
Complex Adaptive ◽  
Recent Developments ◽  
Complex Adaptive Systems Modeling

AbstractSystems linking people and nature, known as social-ecological systems, are increasingly understood as complex adaptive systems. Essential features of these complex adaptive systems – such as nonlinear feedbacks, strategic interactions, individual and spatial heterogeneity, and varying time scales – pose substantial challenges for modeling. However, ignoring these characteristics can distort our picture of how these systems work, causing policies to be less effective or even counterproductive. In this paper we present recent developments in modeling social-ecological systems, illustrate some of these challenges with examples related to coral reefs and grasslands, and identify the implications for economic and policy analysis.

scholarly journals Multisystemic Resilience

2021 ◽  
pp. 771-784
Author(s):  
Katrina Brown
Keyword(s):  
Systems Thinking ◽  
Current Literature ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Ecological Systems ◽  
Social Ecological Systems ◽  
Social Ecological ◽  
Global Challenges ◽  
Complex Adaptive

This chapter examines the extent to which cross-disciplinary understandings of resilience support the development and application of multisystemic resilience approaches based on evidence in current literature. It focuses on how systems thinking—especially complex adaptive systems—has informed the evolution of social-ecological systems resilience analysis and the extent to which this provides an example of multisystemic resilience. It reviews some of the underlying concepts and principles in the field and the boundary-pushing areas of recent research. Finally, it identifies how systemic resilience analysis can make a difference in understanding key global challenges and suggests ways forward for development of a multisystemic resilience field.

scholarly journals Multiple social network influences can generate unexpected environmental outcomes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
J. Yletyinen ◽  
G. L. W. Perry ◽  
P. Stahlmann-Brown ◽  
R. Pech ◽  
J. M. Tylianakis
Keyword(s):  
Social Networks ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Social Influences ◽  
Private Land ◽  
Environmental Interventions ◽  
Social Ecological Systems ◽  
Private Land Conservation ◽  
Social Ecological ◽  
Complex Adaptive

AbstractUnderstanding the function of social networks can make a critical contribution to achieving desirable environmental outcomes. Social-ecological systems are complex, adaptive systems in which environmental decision makers adapt to a changing social and ecological context. However, it remains unclear how multiple social influences interact with environmental feedbacks to generate environmental outcomes. Based on national-scale survey data and a social-ecological agent-based model in the context of voluntary private land conservation, our results suggest that social influences can operate synergistically or antagonistically, thereby enabling behaviors to spread by two or more mechanisms that amplify each other’s effects. Furthermore, information through social networks may indirectly affect and respond to isolated individuals through environmental change. The interplay of social influences can, therefore, explain the success or failure of conservation outcomes emerging from collective behavior. To understand the capacity of social influence to generate environmental outcomes, social networks must not be seen as ‘closed systems’; rather, the outcomes of environmental interventions depend on feedbacks between the environment and different components of the social system.

scholarly journals A Novel ICT Framework for Sustainable Development Goals

2019 ◽  
Vol 11 (7) ◽  
pp. 1961 ◽  
Author(s):  
Olivera Kostoska ◽  
Ljupco Kocarev
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Integrated Approach ◽  
Ecological Systems ◽  
Short Term ◽  
Social Ecological Systems ◽  
Social Ecological ◽  
The Social ◽  
Development Goals

Sustainable development is critical to ensure the future of humanity. Therefore, the assessment and governance of sustainability becomes a central challenge our society is facing. This paper provides a novel ICT framework for addressing sustainable development goals. It is characterized by both local and global considerations, in the context of economic, ecological, and social aspects of sustainable development. The framework consists of three modules: data module, sustainability module, and governance module. Data module integrates data from several sources, processes data, infers knowledge, and transforms data into understandable information and knowledge. The second module implements SDGs at the level of municipality/city, ensures ranking of locally transformed SDGs to arrange them in line with the values and needs of the local communities, and proposes an integrated approach in modeling the social-ecological systems. By implementing governance theories, the governance module permits an effective citizen engagement in governance of SDGs. The ICT framework addresses short-term and long-term SDGs and allows for the vertical and horizontal linkages among diverse stakeholders, as well as for their contributions to the nested rule structures employed at operational, collective, and constitutional levels. Thus, the framework we provide here ensures a paradigm shift in approaching SDGs for the advancement of our society.

scholarly journals Social Ecological Dynamics of Catchment Resilience

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 349
Author(s):  
W. Neil Adger ◽  
Katrina Brown ◽  
Catherine Butler ◽  
Tara Quinn
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Social Dynamics ◽  
Community Resilience ◽  
Ecological Systems ◽  
Negative Consequences ◽  
Ecological Dynamics ◽  
Social Ecological Systems ◽  
Systems Research ◽  
Social Ecological

Catchment resilience is the capacity of a combined social ecological system, comprised of water, land, ecological resources and communities in a river basin, to deal with sudden shocks and gradual changes, and to adapt and self-organize for progressive change and transform itself for sustainability. This paper proposes that analysis of catchments as social ecological systems can provide key insights into how social and ecological dynamics interact and how some of the negative consequences of unsustainable resource use or environmental degradation can be ameliorated. This requires recognition of the potential for community resilience as a core element of catchment resilience, and moves beyond more structural approaches to emphasize social dynamics. The proposals are based on a review of social ecological systems research, on methods for analyzing community resilience, and a review of social science and action research that suggest ways of generating resilience through community engagement. These methods and approaches maximize insights into the social dynamics of catchments as complex adaptive systems to inform science and practice.

scholarly journals Enhancing sustainable development through implementing complex adaptive systems and reflection: A proposed framework

2013 ◽  
Vol 10 (3) ◽  
pp. 25-38
Author(s):  
Marita Naude
Keyword(s):  
Sustainable Development ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Continuous Process ◽  
Integrated Approach ◽  
Theory Approach ◽  
Traditional Management ◽  
Complex Adaptive ◽  
Management Approaches ◽  
Fundamental Shift

Most organizations regard Sustainable Development (SD) as important and within a tridimensional approach (including economic, social and environmental dimensions) SD comprises a range of complex issues. However, traditional management approaches do not capture the variabilities as organizations are complex adaptive systems embedded in a complex adaptive context. Consequently, there must be a fundamental shift towards a complexity theory approach (eg. Complex Adaptive Systems, CAS). When SD is viewed from a CAS approach it becomes a continuous process of co-evolution within a rapidly changing context rather than a once off project. Leaders, managers and practitioners work in this complex and rapidly shifting world need crucial skills such as reflection. This paper proposes a framework combining SD, CAS and reflection. Although a framework does not guarantee success it provides a tool to identify SD, CAS and reflection dimensions, develop an integrated approach, create goals, monitor and evaluate outcomes. Lastly, the paper includes management and research implications.

scholarly journals Harnessing Insights from Social-Ecological Systems Research for Monitoring Sustainable Development

2019 ◽  
Vol 11 (4) ◽  
pp. 1190 ◽  
Author(s):  
Odirilwe Selomane ◽  
Belinda Reyers ◽  
Reinette Biggs ◽  
Maike Hamann
Keyword(s):  
Sustainable Development ◽  
Systems Approach ◽  
Integrated Approach ◽  
Ecological Systems ◽  
Agenda 2030 ◽  
Social Ecological Systems ◽  
Systems Research ◽  
Social Ecological ◽  
Ecological Feedbacks ◽  
Development Outcomes

The United Nations’ Agenda 2030 marks significant progress towards sustainable development by making explicit the intention to integrate previously separate social, economic and environmental agendas. Despite this intention, the Sustainable Development Goals (SDGs) which were adopted to implement the agenda, are fragmented in their formulation and largely sectoral. We contend that while the design of the SDG monitoring is based on a systems approach, it still misses most of the dynamics and complexity relevant to sustainability outcomes. We propose that insights from the study of social-ecological systems offer a more integrated approach to the implementation of Agenda 2030, particularly the monitoring of progress towards sustainable development outcomes. Using five key features highlighted by the study of social-ecological systems (SESs) relevant to sustainable development: (1) social-ecological feedbacks, (2) resilience, (3) heterogeneity, (4) nonlinearity, and (5) cross-scale dynamics. We analyze the current set of SDG indicators based on these features to explore current progress in making them operational. Our analysis finds that 59% of the indicators account for heterogeneity, 33% for cross-scale dynamics, 23% for nonlinearities, and 18% and 17%, respectively, for social-ecological feedbacks and resilience. Our findings suggest limited use of complex SES science in the current design of SDG monitoring, but combining our findings with recent studies of methods to operationalize SES features suggests future directions for sustainable development monitoring for the current as well as post 2030 set of indicators.

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