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Collaborative decision-analytic framework to maximize resilience of tidal marshes to climate change Ecology and Society
Thorne, Karen M; USGS Western Ecological Research Center; kthorne@usgs.gov; Mattsson, Brady J.; Department of Integrative Biology and Biodiversity Research, University of Natural Resources and Life Sciences, Vienna, Austria; brady.mattsson@gmail.com; Takekawa, John; USGS Western Ecological Research Center, San Francisco Bay Estuary Field Station; john_takekawa@usgs.gov; Cummings, Jonathan; University of Vermont; jwcummin@uvm.edu; Crouse, Debby; USFWS, Endangered Species Recovery Program; debby_crouse@fws.gov; Block, Giselle; USFWS, Inventory & Monitoring; Giselle_block@fws.gov; Bloom, Valary; USFWS, Sacramento Field Office; valary_bloom@fws.gov; Gerhart, Matt; State Coastal Conservancy; mgerhart@scc.ca.gov; Goldbeck, Steve; Bay Conservation and Development Commission; steveg@bcdc.ca.gov; Huning, Beth; San Francisco Bay Joint Venture; bhuning@sfbayjv.org; Sloop, Christina; Blue Earth Consultants; christina.s@blueearthconsultants.como; Stewart, Mendel; USFWS, Carlsbad Fish and Wildlife Office; mendel_stewart@fws.gov; Taylor, Karen; California Department of Fish & Wildlife, Napa-Sonoma Marshes Wildlife Area; Karen.Taylor@wildlife.ca.gov; Valoppi, Laura; USGS Western Ecological Research Center; laura_valoppi@usgs.gov.
Decision makers that are responsible for stewardship of natural resources face many challenges, which are complicated by uncertainty about impacts from climate change, expanding human development, and intensifying land uses. A systematic process for evaluating the social and ecological risks, trade-offs, and cobenefits associated with future changes is critical to maximize resilience and conserve ecosystem services. This is particularly true in coastal areas where human populations and landscape conversion are increasing, and where intensifying storms and sea-level rise pose unprecedented threats to coastal ecosystems. We applied collaborative decision analysis with a diverse team of stakeholders who preserve, manage, or restore tidal marshes across the...
Tipo: Peer-Reviewed Reports Palavras-chave: Bayesian decision network; Climate change; Expert elicitation; San Francisco Bay; Sea-level rise; Structured decision making; Tidal marsh.
Ano: 2015
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A Moment of Mental Model Clarity: Response to Jones et al. 2011 Ecology and Society
Wood, Matthew D; US Army Corps of Engineers Research and Development Center; Carnegie Mellon University; mwood1@andrew.cmu.edu; Bostrom, Ann; University of Washington; abostrom@uw.edu; Convertino, Matteo; University of Florida; Florida Climate Institute; mconvertino@ufl.edu; Kovacs, Daniel; Decision Partners LLC; dkovacs@decisionpartners.com; Linkov, Igor; US Army Corps of Engineers Research and Development Center; Igor.Linkov@usace.army.mil.
Tipo: Peer-Reviewed Response Palavras-chave: Cognitive science; Expert elicitation; Mental model; Natural resource management; Stakeholder engagement.
Ano: 2012
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Climate impacts on the ocean are making the Sustainable Development Goals a moving target travelling away from us ArchiMer
Singh, Gerald G.; Hilmi, Nathalie; Bernhardt, Joey R.; Cisneros Montemayor, Andres M.; Cashion, Madeline; Ota, Yoshitaka; Acar, Sevil; Brown, Jason M.; Cottrell, Richard; Djoundourian, Salpie; González‐espinosa, Pedro C.; Lam, Vicky; Marshall, Nadine; Neumann, Barbara; Pascal, Nicolas; Reygondeau, Gabriel; Rocklӧv, Joacim; Safa, Alain; Virto, Laura R.; Cheung, William.
Climate change is impacting marine ecosystems and their goods and services in diverse ways, which can directly hinder our ability to achieve the Sustainable Development Goals (SDGs), set out under the 2030 Agenda for Sustainable Development. Through expert elicitation and a literature review, we find that most climate change effects have a wide variety of negative consequences across marine ecosystem services, though most studies have highlighted impacts from warming and consequences of marine species. Climate change is expected to negatively influence marine ecosystem services through global stressors—such as ocean warming and acidification—but also by amplifying local and regional stressors such as freshwater runoff and pollution load. Experts indicated...
Tipo: Text Palavras-chave: Climate change; Expert elicitation; Marine ecosystem services; Ocean sustainability; Sustainable Development Goals.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00636/74858/75256.pdf
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Income insurance as a risk management tool after 2013 CAP reforms? AgEcon
Meuwissen, Miranda P.M.; Van Asseldonk, Marcel A.P.M.; Pietola, Kyosti; Hardaker, J. Brian; Huirne, Ruud B.M..
The ecosystem and the economic subsystem are interlinked. In fact, it is the overconsumption of scarce resources or the overproduction of bad outputs at economic system level that causes a great part of the imbalances at the ecosystem level. Some imbalances do not originate at the economic system level, but are due to external factors. Given the possibility of external shocks, respecting static sustainability thresholds is not a guarantee for system sustainability. In a dynamic setting, the concept of resilience is therefore helpful. In this paper we show how this concept can complement the traditional efficiency approach to come to a sustainable value creating economic system.
Tipo: Conference Paper or Presentation Palavras-chave: Income volatility; Income insurance; Expert elicitation; Price insurance; Risk and Uncertainty.
Ano: 2011 URL: http://purl.umn.edu/114649
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Eliciting Information on Uncertainty from Heterogeneous Expert Panels: Attributing U.S. Foodborne Pathogen Illness to Food Consumption AgEcon
Hoffmann, Sandra A.; Fischbeck, Paul S.; Krupnick, Alan J.; McWilliams, Michael.
Decision analysts are frequently called on to help inform decision-makers in situations where there is considerable uncertainty. In such situations, expert elicitation of parameter values is frequently used to supplement more conventional research. This paper develops a formal protocol for expert elicitation with large, heterogeneous expert panels. We use formal survey methods to take advantage of variation in individual expert uncertainty and heterogeneity among experts as a means of quantifying and comparing sources of uncertainty about parameters of interest. We illustrate use of this protocol with an expert elicitation on the distribution of U.S. foodborne illness from each of 11 major foodborne pathogens to the consumption of one of 11 categories of...
Tipo: Working or Discussion Paper Palavras-chave: Food safety; Expert elicitation; Risk analysis; Food attribution; Foodborne pathogen; Food Consumption/Nutrition/Food Safety.
Ano: 2006 URL: http://purl.umn.edu/10444
Registros recuperados: 5
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