Gil Sylvia
Oregon State University
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Publication
Featured researches published by Gil Sylvia.
PLOS ONE | 2015
James L. Anderson; Christopher M. Anderson; Jingjie Chu; Jennifer Meredith; Frank Asche; Gil Sylvia; Martin D. Smith; Dessy Anggraeni; Robert Arthur; Atle G. Guttormsen; Jessica K. McCluney; Tim M. Ward; Wisdom Akpalu; Håkan Eggert; Jimely Flores; Matthew A. Freeman; Daniel S. Holland; Gunnar Knapp; Mimako Kobayashi; Sherry L. Larkin; Kari MacLauchlin; Kurt E. Schnier; Mark Soboil; Sigbjørn Tveterås; Hirotsugu Uchida; Diego Valderrama
Pursuit of the triple bottom line of economic, community and ecological sustainability has increased the complexity of fishery management; fisheries assessments require new types of data and analysis to guide science-based policy in addition to traditional biological information and modeling. We introduce the Fishery Performance Indicators (FPIs), a broadly applicable and flexible tool for assessing performance in individual fisheries, and for establishing cross-sectional links between enabling conditions, management strategies and triple bottom line outcomes. Conceptually separating measures of performance, the FPIs use 68 individual outcome metrics—coded on a 1 to 5 scale based on expert assessment to facilitate application to data poor fisheries and sectors—that can be partitioned into sector-based or triple-bottom-line sustainability-based interpretative indicators. Variation among outcomes is explained with 54 similarly structured metrics of inputs, management approaches and enabling conditions. Using 61 initial fishery case studies drawn from industrial and developing countries around the world, we demonstrate the inferential importance of tracking economic and community outcomes, in addition to resource status.
Marine Resource Economics | 2015
Robert Fonner; Gil Sylvia
ABSTRACT Regulatory requirements and shifts in consumer preferences have resulted in seafood products bearing multiple information labels. Developing successful seafood marketing strategies requires an understanding of how multilabeled products influence consumer choices. We analyze preferences for four classes of seafood information labels including safety, quality, local, and ecolabels using data from a choice experiment for two seafood species. Data was collected at a grocery chain focused on niche markets in Portland, Oregon. Each label is found to have a significant influence on consumer choice, with local labels and ecolabels yielding the largest estimates of consumer mean willingness to pay. Ecolabels yield a wider range of individual willingness to pay estimates compared to the other labels, and preferences for the local label are not affected by the appearance of additional information labels on the same product. Results suggest opportunities for advancing niche market strategies, including the development of local seafood labeling programs. JEL Codes: Q22, Q51.
PLOS ONE | 2015
M. Renee Bellinger; Michael A. Banks; Sarah J. Bates; Eric D. Crandall; John Carlos Garza; Gil Sylvia; Peter W. Lawson
Understanding seasonal migration and localized persistence of populations is critical for effective species harvest and conservation management. Pacific salmon (genus Oncorhynchus) forecasting models predict stock composition, abundance, and distribution during annual assessments of proposed fisheries impacts. Most models, however, fail to account for the influence of biophysical factors on year-to-year fluctuations in migratory distributions and stock-specific survival. In this study, the ocean distribution and relative abundance of Chinook salmon (O. tshawytscha) stocks encountered in the California Current large marine ecosystem, U.S.A were inferred using catch-per-unit effort (CPUE) fisheries and genetic stock identification data. In contrast to stock distributions estimated through coded-wire-tag recoveries (typically limited to hatchery salmon), stock-specific CPUE provides information for both wild and hatchery fish. Furthermore, in contrast to stock composition results, the stock-specific CPUE metric is independent of other stocks and is easily interpreted over multiple temporal or spatial scales. Tests for correlations between stock-specific CPUE and stock composition estimates revealed these measures diverged once proportional contributions of locally rare stocks were excluded from data sets. A novel aspect of this study was collection of data both in areas closed to commercial fisheries and during normal, open commercial fisheries. Because fishing fleet efficiency influences catch rates, we tested whether CPUE differed between closed area (non-retention) and open area (retention) data sets. A weak effect was indicated for some, but not all, analyzed cases. Novel visualizations produced from stock-specific CPUE-based ocean abundance facilitates consideration of how highly refined, spatial and genetic information could be incorporated in ocean fisheries management systems and for investigations of biogeographic factors that influence migratory distributions of fish.
Marine Resource Economics | 2006
Sherry L. Larkin; Gil Sylvia; Michael Harte; Kathryn Quigley
Under the rubric of sustainable fisheries, nations are mandated to rebuild overfished stocks. Although rebuilding strategies are almost universally directed by the available biological information, approaches vary depending on fishery laws, management objectives, and technical guidelines. For example, rebuilding schedules in the United States are primarily designed to achieve rapid rebuilding of biomass and spawning stocks consistent with the biological characteristics of the resource. In contrast, New Zealand has greater flexibility in rebuilding stocks in order to consider economic, social, and cultural needs. In this paper we investigate potential economic costs to the fishery that result by limiting the US managers flexibility in choosing a recovery trajectory. Using numerical models for moderate-and long-lived stocks, the analysis reveals that depending on productivity of the stock and the discount rate, extending the rebuilding timeframe can substantially increase annual harvests and economic benefits. The results underscore the importance of economic analysis in crafting flexible rebuilding schedules that account for the unique characteristics of the fisheries, including economic and social needs.
Comprehensive Reviews in Food Science and Food Safety | 2016
Tejas Bhatt; Chris Cusack; Benjamin Dent; Martin Gooch; Dick Jones; Rosetta Newsome; Jennie Stitzinger; Gil Sylvia; Jianrong Zhang
The Interoperable Seafood Traceability Technology Architecture Issues Brief reflects the growing need to establish a global, secure, interoperable support system for seafood traceability. Establishing effective traceability systems relies on the development of a cohesive and consistent approach to the delivery of information technology capabilities and functions. The ability of business to utilize traceability for commercial gain is heavily influenced by the supply chain in which they operate. The Issues Brief describes factors associated with enterprise-level traceability systems that will impact the design of technology architecture suited to enabling whole chain interoperable traceability. The Brief details why a technology architecture is required, what it means for industry in terms of benefits and opportunities, and how the architecture will translate into practical results. The current situation of many heterogeneous proprietary systems prevents global interoperable traceability from occurring. Utilizing primary research and lessons learned from other industries, the Brief details how the present situation can be addressed. This will enable computerized information systems to communicate syntactically by sharing standardized packages of data. The subsequent stage, semantic interoperability, is achieved by establishing a common language (ontology). The report concludes with a series of recommendations that industry can act upon to design a technology architecture suited to enabling effective global interoperable traceability.
OECD Food, Agriculture and Fisheries Papers | 2011
Sherry L. Larkin; Sergio Alvarez; Gil Sylvia; Michael Harte
FAO Fisheries Technical Paper (FAO) | 2008
Gil Sylvia; H. Munro Mann; C. Pugmire
Environmental and Resource Economics | 2004
Sherry L. Larkin; Gil Sylvia
Archive | 2001
Sherry L. Larkin; Michael Harte; Kate Quigley; Gil Sylvia
Marine Policy | 2014
Gil Sylvia; Chris Cusack; Josh Swanson