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| Ferguson, Paige F. B.; Department of Biological Sciences, University of Alabama; Warnell School of Forestry and Natural Resources, University of Georgia; pfferguson@ua.edu; Conroy, Michael J; Warnell School of Forestry and Natural Resources, University of Georgia; mconroy@uga.edu; Chamblee, John F; Department of Anthropology, University of Georgia; chamblee@uga.edu; Hepinstall-Cymerman, Jeffrey; Warnell School of Forestry and Natural Resources, University of Georgia; jhepinst@uga.edu. |
| Parcelization and forest fragmentation are of concern for ecological, economic, and social reasons. Efforts to keep large, private forests intact may be supported by a decision-making process that incorporates landowners’ objectives and uncertainty. We used structured decision making (SDM) with owners of large, private forests in Macon County, North Carolina. Macon County has little land use regulation and a history of discordant, ineffective attempts to address land use and development. We worked with landowners to define their objectives, identify decision options for forest management, build a Bayesian decision network to predict the outcomes of decisions, and determine the optimal and least-desirable decision options. The optimal forest... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Bayesian decision network; Conservation easement; Decision analysis; Forestry; Fragmentation; Heritage; Present-use value; Sustainability; Timber harvest. |
| Ano: 2015 |
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| 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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