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| Huber, Robert; Swiss Federal Institute for Forest, Snow and Landscape Research WSL; robert.huber@wsl.ch; Briner, Simon; ETH Zurich, Agri-food and Agri-environmental Economics Group, Department of Environmental Systems Science; briners@ethz.ch; Lauber, Stefan; Swiss Federal Institute for Forest, Snow and Landscape Research WSL; stefan.lauber@wsl.ch; Seidl, Roman; ETH Zurich, Natural and Social Science Interface, Department of Environmental Systems Science; roman.seidl@env.ethz.ch; Widmer, Alexander; ETH Zurich, Environmental Policy and Economics, Department of Environmental Systems Science; widmeale@env.ethz.ch; Le, Quang Bao; ETH Zurich, Natural and Social Science Interface, Department of Environmental Systems Science; quang.le@env.ethz.ch; Hirschi, Christian; ETH Zurich, Environmental Policy and Economics, Department of Environmental Systems Science; christian.hirschi@env.ethz.ch. |
| An effective implementation of payment for environmental services (PES) must allow for complex interactions of coupled social-ecological systems. We present an integrative study of the pasture-woodland landscape of the Swiss Jura Mountains combining methods from natural and social sciences to explore feedback between vegetation dynamics on paddock level, farm-based decision making, and policy decisions on the national political level. Our modeling results show that concomitant climatic and socioeconomic changes advance the loss of open grassland in silvopastoral landscapes. This would, in the longer term, deteriorate the historical wooded pastures in the region, which fulfill important functions for biodiversity and are widely considered as landscapes that... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Agent-based modeling; Dynamic modeling; Feedback; Human-environment systems; Integrated study; Payments for environmental services; Policy network analysis. |
| Ano: 2013 |
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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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| Jullien, Swen; Masson, Sébastien; Oerder, Véra; Samson, Guillaume; Colas, François; Renault, Lionel. |
| Ocean mesoscale eddies are characterized by rotating-like and meandering currents that imprint the low-level atmosphere. Such a current feedback (CFB) has been shown to induce a sink of energy from the ocean to the atmosphere, and consequently to damp the eddy kinetic energy (EKE), with an apparent regional disparity. In a context of increasing model resolution, the importance of this feedback, and its dependence on oceanic and atmospheric models resolution arise. Using a hierarchy of quasi-global coupled models with spatial resolutions varying from ¼° to 1/12°, the present study shows that the CFB induces a negative wind work at scales ranging from 100 to 1000 km, and a subsequent damping of the mesoscale activity by ∼30% on average, independently of the... |
| Tipo: Text |
Palavras-chave: Currents; Feedback; Mesoscale processes; Air-sea interaction; Coupled models; Mesoscale models. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00601/71329/69759.pdf |
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| Gans, Will; Alberini, Anna; Longo, Alberto. |
| Using a unique set of data and exploiting a large-scale natural experiment, we estimate the effect of real-time usage information on residential electricity consumption in Northern Ireland. Starting in April 2002, the utility replaced prepayment meters with “smart” meters that allow the consumer to track usage in real-time. We rely on this event, account for the endogeneity of price and plan with consumption through a plan selection correction term, and find that the provision of information is associated with a decline in electricity consumption of up to 20%. We find that the reduction is robust to different specifications, selection-bias correction methods and subsamples of the original data. At £15-17 per tonne of CO2e (2009£), the smart meter program... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Residential Energy; Electricity Demand; Feedback; Smart Meter; Information; Resource /Energy Economics and Policy; Q40; Q41; D8. |
| Ano: 2011 |
URL: http://purl.umn.edu/108202 |
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