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

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.

Author(s):  
Dustin Eirdosh ◽  
Susan Hanisch

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.


2012 ◽  
Vol 18 (2) ◽  
pp. 111-132 ◽  
Author(s):  
Simon Levin ◽  
Tasos Xepapadeas ◽  
Anne-Sophie Crépin ◽  
Jon Norberg ◽  
Aart de Zeeuw ◽  
...  

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.


2021 ◽  
pp. 771-784
Author(s):  
Katrina Brown

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.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
J. Yletyinen ◽  
G. L. W. Perry ◽  
P. Stahlmann-Brown ◽  
R. Pech ◽  
J. M. Tylianakis

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.


Author(s):  
Michael Mitchell ◽  
Catherine Allan ◽  
Jehangir F. Punthakey ◽  
C. Max Finlayson ◽  
Mobushir R. Khan

2019 ◽  
Vol 11 (12) ◽  
pp. 3447 ◽  
Author(s):  
Michael Nassl ◽  
Jörg Löffler

The transition from net deforestation to net reforestation in China has received much scientific attention, in the hope that, by understanding the underlying drivers and processes, it might be reproduced in other regions of the world. The scientific literature has suggested that this process was driven by the creation of off-farm opportunities and huge state afforestation programs by economic growth. Recent publications, however, have noted a lack of inclusion of local dynamics in this analysis. We used the social-ecological interactions (SEI) framework, designed for the assessment of ecosystem services in socio-ecological systems, to trace the causes and patterns of the local use of forest biomass in a village in Northwest Yunnan. Our results suggest that societal values, in particular, are key to understanding the local resource use underlying the forest transition in Yunnan. However, societal values have been neglected, both in the analysis of forest transition as well as in social-ecological systems research, in general.


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