Faculty Opinions recommendation of Mapping social–ecological systems: Identifying ‘green-loop’ and ‘red-loop’ dynamics based on characteristic bundles of ecosystem service use.

Author(s):  
Elena Bennett
2018 ◽  
Vol 23 (3) ◽  
Author(s):  
Cristina Quintas-Soriano ◽  
Jodi S. Brandt ◽  
Katrina Running ◽  
Colden V. Baxter ◽  
Dainee M. Gibson ◽  
...  

2021 ◽  
Vol 17 (1) ◽  
pp. 264-278
Author(s):  
Jiangxiao Qiu ◽  
Cibele Queiroz ◽  
Elena M. Bennett ◽  
Anna F. Cord ◽  
Emilie Crouzat ◽  
...  

FACETS ◽  
2021 ◽  
Vol 6 ◽  
pp. 1670-1692
Author(s):  
Carina Rauen Firkowski ◽  
Amanda M. Schwantes ◽  
Marie-Josée Fortin ◽  
Andrew Gonzalez

The demand the human population is placing on the environment has triggered accelerated rates of biodiversity change and created trade-offs among the ecosystem services we depend upon. Decisions designed to reverse these trends require the best possible information obtained by monitoring ecological and social dimensions of change. Here, we conceptualize a network framework to monitor change in social–ecological systems. We contextualize our framework within Ostrom’s social–ecological system framework and use it to discuss the challenges of monitoring biodiversity and ecosystem services across spatial and temporal scales. We propose that spatially explicit multilayer and multiscale monitoring can help estimate the range of variability seen in social–ecological systems with varying levels of human modification across the landscape. We illustrate our framework using a conceptual case study on the ecosystem service of maple syrup production. We argue for the use of analytical tools capable of integrating qualitative and quantitative knowledge of social–ecological systems to provide a causal understanding of change across a network. Altogether, our conceptual framework provides a foundation for establishing monitoring systems. Operationalizing our framework will allow for the detection of ecosystem service change and assessment of its drivers across several scales, informing the long-term sustainability of biodiversity and ecosystem services.


2020 ◽  
Vol 12 (7) ◽  
pp. 2960
Author(s):  
Johannes Rüdisser ◽  
Georg Leitinger ◽  
Uta Schirpke

Ecological footprint analyses demonstrate that the world’s more than 7.5 billion people consume multiple planets’ worth of resources. To incite and evaluate societal changes for the sustainable use of the environment and its natural resources, the ecosystem service (ES) concept was developed more than 20 years ago. To ensure the sustainable provision of indispensable ES, the concept has been refined and enhanced, enabling its application across various temporal and spatial scales. However, evidence-based strategies and policies are needed to preserve biodiversity and natural capital in our changing world. This Special Issue comprises studies advancing the frameworks, concepts, and applications related to ES assessment, with a particular focus on social–ecological systems. To broadly apply the ES concept in different social–ecological systems, several key issues emerged: (1) ES-related definitions and procedures should be improved and standardized; (2) the complexity of the interactions in a social–ecological system must be recognized, and knowledge about spatial and temporal dynamics and interactions among multiple ESs must be deepened; and (3) communication about ES, considering cultural and stakeholder differences, must be increased.


Author(s):  
Marc J. Stern

This chapter covers systems theories relevant to understanding and working to enhance the resilience of social-ecological systems. Social-ecological systems contain natural resources, users of those resources, and the interactions between each. The theories in the chapter share lessons about how to build effective governance structures for common pool resources, how to facilitate the spread of worthwhile ideas across social networks, and how to promote collaboration for greater collective impacts than any one organization alone could achieve. Each theory is summarized succinctly and followed by guidance on how to apply it to real world problem solving.


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