Social–ecological feedbacks drive spatial exploitation in a northern freshwater fishery: A halo of depletion

2020 ◽  
Vol 57 (2) ◽  
pp. 206-218 ◽  
Author(s):  
Kyle L. Wilson ◽  
Aaron Foos ◽  
Oliver E. Barker ◽  
Anne Farineau ◽  
Joe De Gisi ◽  
...  
2017 ◽  
Vol 284 (1868) ◽  
pp. 20171192 ◽  
Author(s):  
A.-S. Lafuite ◽  
C. de Mazancourt ◽  
M. Loreau

Natural habitat destruction and fragmentation generate a time-delayed loss of species and associated ecosystem services. As social–ecological systems (SESs) depend on a range of ecosystem services, lagged ecological dynamics may affect their long-term sustainability. Here, we investigate the role of consumption changes for sustainability, under a time-delayed ecological feedback on agricultural production. We use a stylized model that couples the dynamics of biodiversity, technology, human demography and compliance with a social norm prescribing sustainable consumption. Compliance with the sustainable norm reduces both the consumption footprint and the vulnerability of SESs to transient overshoot-and-collapse population crises. We show that the timing and interaction between social, demographic and ecological feedbacks govern the transient and long-term dynamics of the system. A sufficient level of social pressure (e.g. disapproval) applied on the unsustainable consumers leads to the stable coexistence of unsustainable and sustainable or mixed equilibria, where both defectors and conformers coexist. Under bistability conditions, increasing extinction debts reduces the resilience of the system, thus favouring abrupt regime shifts towards unsustainable pathways. Given recent evidence of large extinction debts, such results call for farsightedness and a better understanding of time delays when studying the sustainability of coupled SESs.


2016 ◽  
Vol 41 ◽  
pp. 13-25 ◽  
Author(s):  
Sarah Laborde ◽  
Alfonso Fernández ◽  
Sui Chian Phang ◽  
Ian M. Hamilton ◽  
Nathaniel Henry ◽  
...  

2015 ◽  
Author(s):  
Reinette Oonsie Biggs ◽  
Garry D Peterson ◽  
Juan Carlos Carlos Rocha

This paper presents the Regime Shifts Database (RSDB), a new online, open-access database that uses a novel consistent framework to systematically analyze regime shifts based on their impacts, key drivers, underlying feedbacks, and management options. The database currently contains 27 generic types of regime shifts, and over 300 specific case studies of a variety of regime shifts. These regime shifts occur across diverse types of systems and are driven by many different types of processes. Besides impacting provisioning and regulating services, our work shows that regime shifts substantially impact cultural and aesthetic ecosystem services. We found that social-ecological feedbacks are difficult to characterize and more work is needed to develop new tools and approaches to better understand social-ecological regime shifts. We hope that the database will stimulate further research on regime shifts and make available information that can be used in management, planning and assessment.


Fisheries ◽  
2016 ◽  
Vol 41 (9) ◽  
pp. 524-535 ◽  
Author(s):  
Hillary G. M. Ward ◽  
Micheal S. Allen ◽  
Edward V. Camp ◽  
Nick Cole ◽  
Len M. Hunt ◽  
...  

2019 ◽  
Vol 11 (4) ◽  
pp. 1190 ◽  
Author(s):  
Odirilwe Selomane ◽  
Belinda Reyers ◽  
Reinette Biggs ◽  
Maike Hamann

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.


Marine Policy ◽  
2011 ◽  
Vol 35 (5) ◽  
pp. 568-574 ◽  
Author(s):  
H. Österblom ◽  
M. Sissenwine ◽  
D. Symes ◽  
M. Kadin ◽  
T. Daw ◽  
...  

2014 ◽  
Vol 19 (3) ◽  
Author(s):  
Todd BenDor ◽  
Douglas A. Shoemaker ◽  
Jean-Claude Thill ◽  
Monica A. Dorning ◽  
Ross K. Meentemeyer

BioScience ◽  
2020 ◽  
Vol 70 (8) ◽  
pp. 699-707 ◽  
Author(s):  
Mark R Herse ◽  
Phil O’B Lyver ◽  
Nigel Scott ◽  
Angus R McIntosh ◽  
Simon C Coats ◽  
...  

Abstract Scale mismatches in social–ecological systems constrain conservation by obscuring signals of environmental change, which could otherwise feed back to inform adaptive responses and solutions. We argue that engaging indigenous peoples and local communities (IPLC) in place-based environmental management could generate the fine-resolution information and workforce needed to alleviate scale mismatches. We illustrate our argument using a case study initiated by Māori in Aotearoa/New Zealand and demonstrate that the current broad scales of hunting regulation and assessment in black swan (kakī anau, Cygnus atratus) management could obscure local ecological drivers of populations. Many IPLC can facilitate adaptive place-based management by continually monitoring ecological feedbacks (e.g., population numbers, habitat conditions) at fine resolutions through customary resource use and observations. However, disregard for IPLC rights, scepticism of traditional ecological knowledge, restricted opportunity to connect with resources, compartmentalization of resource management, and insufficient funding limit IPLC engagement and must be overcome to alleviate scale mismatches.


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