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| Mayer, Audrey L.; Michigan Technological University; almayer@mtu.edu; Donovan, Richard P.; University of California at Irvine; rpdonova@uci.edu; Pawlowski, Christopher W.; AECOM; cw_pawlowski@yahoo.com. |
| For coupled human and natural systems (CHANS), sustainability can be defined operationally as a feasible, desirable set of flows (material, currency, information, energy, individuals, etc.) that can be maintained despite internal changes and changes in the environment. Sustainable development can be defined as the process by which CHANS can be moved toward sustainability. Specific indicators that give insight into the structure and behavior of feedbacks in CHANS are of particular interest because they would aid in the sustainable management of these systems through an understanding of the structures that govern system behavior. However, the use of specific feedbacks as monitoring tools is rare, possibly because of uncertainties regarding the nature of... |
| Tipo: Peer-Reviewed Synthesis |
Palavras-chave: CHANS; Feedbacks; Information theory; Sustainability. |
| Ano: 2014 |
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| Hull, Vanessa; Center for Systems Integration and Sustainability (CSIS), Michigan State University; hullvane@msu.edu; Tuanmu, Mao-Ning; Department of Ecology and Evolutionary Biology, Yale University; Center for Systems Integration and Sustainability (CSIS), Michigan State University; mao-ning.tuanmu@yale.edu; Liu, Jianguo; Center for Systems Integration and Sustainability (CSIS), Michigan State University; liuji@msu.edu. |
| In today’s globalized world, humans and nature are inextricably linked. The coupled human and natural systems (CHANS) framework provides a lens with which to understand such complex interactions. One of the central components of the CHANS framework involves examining feedbacks among human and natural systems, which form when effects from one system on another system feed back to affect the first system. Despite developments in understanding feedbacks in single disciplines, interdisciplinary research on CHANS feedbacks to date is scant and often site-specific, a shortcoming that prevents complex coupled systems from being fully understood. The special feature “Exploring Feedbacks in Coupled Human and Natural Systems (CHANS)”... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: CHANS; Feedback; Policy; Sustainability; Telecoupling; Time lag. |
| Ano: 2015 |
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| Steen-Adams, Michelle M.; Department of Environmental Studies, University of New England; Pacific Northwest Research Station, USDA Forest Service; msteenadams@une.edu; Langston, Nancy; Department of Social Sciences, Michigan Technological University; nelangst@gmail.com; Adams, Mark D. O.; Department of Environmental Studies, University of New England; madams3@une.edu; Mladenoff, David J.; Department of Forest and Wildlife Ecology, University of Wisconsin-Madison; djmladen@wisc.edu. |
| Current and future human and forest landscape conditions are influenced by the cumulative, unfolding history of social-ecological interactions. Examining past system responses, especially unintended consequences, can reveal valuable insights that promote learning and adaptation in forest policy and management. Temporal couplings are complex, however; they can be difficult to trace, characterize, and explain. We develop a framework that integrates environmental history into analysis of coupled human and natural systems (CHANS). Our study demonstrates how historical data and methods can help to explain temporal complexity of long-term CHANS feedbacks. We focus on two sources of temporal complexity: legacy effects and lagged interactions. We apply our... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: CHANS; Environmental history; Feedback; Forest landscape; Great Lakes; Historical ecology; Lagged interaction; Legacy; Ownership; Tribal; Unanticipated consequence. |
| Ano: 2015 |
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| Spies, Thomas A; USDA Forest Service; tom.spies@oregonstate.edu; White, Eric M.; Oregon State University; eric.white@oregonstate.edu; Kline, Jeffrey D; USDA Forest Service; jkline@fs.fed.us; Fischer, A. Paige; USDA Forest Service; paigefischer@fs.fed.us; Ager, Alan; USDA Forest Service; aager@fs.fed.us; Bailey, John; Oregon State University; john.bailey@oregonstate.edu; Bolte, John; Oregon State University; boltej@engr.orst.edu; Koch, Jennifer; North Carolina State University; kochje@onid.orst.edu; Platt, Emily; Oregon State University; emily.platt@oregonstate.edu; Olsen, Christine S; Oregon State University; christine.olsen@oregonstate.edu; Jacobs, Derric; Oregon State University; jacobsd@onid.orst.edu; Shindler, Bruce; Oregon State University; bruce.shindler@oregonstate.edu; Steen-Adams, Michelle M; University of New England; msteenadams@une.edu; Hammer, Roger; Oregon State University; rhammer@oregonstate.edu. |
| Fire-prone landscapes are not well studied as coupled human and natural systems (CHANS) and present many challenges for understanding and promoting adaptive behaviors and institutions. Here, we explore how heterogeneity, feedbacks, and external drivers in this type of natural hazard system can lead to complexity and can limit the development of more adaptive approaches to policy and management. Institutions and social networks can counter these limitations and promote adaptation. We also develop a conceptual model that includes a robust characterization of social subsystems for a fire-prone landscape in Oregon and describe how we are building an agent-based model to promote understanding of this social-ecological system. Our agent-based model, which... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Agent-based model; CHANS; Coupled human and natural systems; Fire policy; Fire-prone landscapes. |
| Ano: 2014 |
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