17 research outputs found
To bid or not to bid: An investigation into economic incentives underling auction participation
This dissertation investigates the individual characteristics correlated with auction participation decisions using data from two commercial fishing license buybacks. I use the joint empirical analysis of stated and revealed preferences, with two major findings emerging. First, the results of my analysis suggest that individuals with relatively low willingness to accept values and low engagement in the fishery faced problems with the participation decision which prevented them from tendering bids in the auction. This has serious policy implications given that the efficiency of reverse auctions relies on buying goods back from individuals who value them the least. The low participation rate suggests that the licenses bought back represent between 47 - 64 percent of the maximum achievable with the same funds under a first best outcome.
Second, fishermen are frequently modeled as strict profit maximizers and harvest histories are often assumed to serve as a good proxy for expected future profits in many circumstances. I find evidence against both of these assumptions. Indicators for bequest and enjoyment values are associated with an increased bid equivalent to that of a 20,000 increase in annual profits. Indicators of bequest and enjoyment values are also significantly correlated with the decision of whether to tender a bid at all. Expected future usage patterns are an important consideration in the participation decisions, and the expected usage can differ significantly from past usage patterns. These results suggest that market experience plays an important role in auction participation decisions, and the problems which develop from inexperience should be addressed explicitly through the auction design
On the precision of predicting fishing location using data from the Vessel Monitoring System (VMS)
Defining fishing grounds based on data from Vessel Monitoring System (VMS) has been a widely-researched topic in recent years. Much of the research has focused on filtering algorithms for identifying fishing locations from VMS point data, most often supplemented with either imputed or reported vessel speed information. This study compared the precision of categorizing fishing locations from VMS data either by the most wide-spread â speed ruleâ approach or a probability model. Using data from Northeast U.S. Fisheries for fishing years 2010-2014, we showed that the traditional representation of fishing activities as derived by speed rules leads to a severe misrepresentation of fishing grounds for gears other than bottom otter trawl. Predictions based on probability models outperformed gear-specific speed rules in classifying VMS polls for sink gillnet and scallop dredge trips, without adding substantial computational effort. The probability models thus provide the largest improvements in gears with complicated fishing patterns, while controlling for issues, such as fleet dynamics, that historically have not been dealt with in the static speed rules, but which can have significant impacts on the quality of predictions.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author
Preparing for change; challenges for fisheries governance
No abstracts are to be cited without prior reference to the author. Conveners: Alida Bundy (Canada), Marion Glaser (Germany), Annette Breckwoldt (Germany), Ingrid van Putten (Australia).CM 2018/H:196. Adaptation to climate change in ecosystem-based fisheries management of developed nations: how is social resilience governed? Woods, P.J., Macdonald, J., Barðarson, H., Baily, M., Bonanomi, S., Boonstra, W.J., Cornell, G., Cripps, G., Danielsson, R., Färber, L., Ferreira, A.S.A., Holma, M., Holt, R.E., Kokkalis, A., Langbehn, T., Ljungström, G., Nieminen, E., Nordström, M., Oostdijk, M., Richter, A., Romagnoni, G., Sguotti, C., Simons, A., Shackell, N., Snickars, M., Tunca, S., Whittington, J.D., Wootton, H., and Yletyinen, JCM 2018/H:72. A legal pluralism perspective on coastal fisheries governance in two Pacific Island countries. Janne R. Rohe, Hugh Govan, Achim Schlüter, Sebastian C.A. FerseCM 2018/H:261. Perfect is the enemy of good – when more accurate stock assessments are less valuable for management. Esther Schuch, Silke Gabbert, Andries RichterCM 2018/H:125. Ecological, socioeconomic and institutional resilience to shifting fish stocks. E. Fontán and E. Ojea.CM 2018/H:274. Best practice guidelines on developing decision support tools for European fisheries and aquaculture sectors. Thuy Thi Thanh Pham, Frank Wätzold, Astrid Sturm, Alan Baudron, Michaela AschanCM 2018/H:192. Stakeholders’ perceptions of Governance in Iceland and Spain (Galicia). Ixai Salvo, Rosa Chapela, Antonio G. AllutCM 2018/H:269. Integrated Ecosystem Assessments for marine management from concepts to practise in ICES. Christine Röckmann; Jennifer Bailey, Dorothy Dankel, Geret DePiper, Johanna Ferretti, Ana Rita Fraga, Sarah Gaichas, Susan Gardner, David Goldsborough, Leyre Goti, Rolf Groeneveld, Katell Hamon, Andrew Kenny, Marloes Kraan, Sebastian Linke, Sean Lucey, Angela Münch, Gerjan Piet, Patricia Pinto da Silva, Marina Santurtun, Jörn Schmidt; Patricia M. ClayCM 2018/H:553. Accounting for shifting distributions and changing productivity in the development and use of scientific advice for fisheries management. Melissa A. Karp, Jay Peterson, Patrick Lynch, Roger GriffisCM 2018/H:530. Towards a more effective common fisheries policy: applying an analytical framework of 17 criteria to identify priorities for reform. Johanna Ferretti, Tobias Belschner, Ralf Döring, Alexander Kempf, Sarah Kraak, Gerd Kraus, Harry V. Strehlow, Christopher ZimmermannCM 2018/H:190. Measuring good fisheries governance: What do stakeholders think? Ixai Salvo, Svein Jentoft, Rosa Chapela, Antonio G. Allut</p
Towards operational assessments: selection, vetting, and standardized analysis of ecosystem indicators for the Northeast US Large Marine Ecosystem
No abstracts are to be cited without prior reference to the author. Operational ecosystem assessment requires a transparent and systematic approach to selection, analysis, and evaluation of information. Time series of ecosystem indicators are collected and available in many regions, but data may be of varying quality or relevance to a given set of management objectives. Here, we show two examples of how ecosystem indicator time series can be treated transparently and systematically as we move towards operational integrated ecosystem assessment. Systematically analyzing indicators contributes to both developing integrated assessment and prioritizing indicator development for improving these assessments
Modelling social-ecological systems: methods and tools for scenario development and prediction
No abstracts are to be cited without prior reference to the author. Conveners: Oliver Thebaud (France), Jan Jaap Poos (the Netherlands), Jörn Schmidt (Germany).CM 2017/M:318. Where does social-ecological modelling fit in ICES?. Mark Dickey-CollasCM 2017/M:114. Using machine learning to uncover hidden topics of fisheries models. Shaheen Syed, Charlotte Teresa WeberCM 2017/M:446. One step further: understanding adaptation to climate change in social-ecological systems. Diego Salgueiro-Otero, Elena OjeaCM 2017/M:78. Towards management for resilience: Combined effects of natural disturbances and fisheries dynamics on coral reef ecosystem functioning. Mélodie Dubois, Joachim ClaudetCM 2017/M:629. Forecasting species-specific total allowable catch under an ecosystem cap in the US Bering Sea and Aleutian Islands. Alan C. Haynie, Amanda FaigCM 2017/M:587. Conceptual and qualitative modeling for Management Strategy Evaluation of social-ecological systems in the Northwest Atlantic. Geret S. DePiper, Sarah K. Gaichas, Sean M. Lucey, Patricia Pinto da Silva, M. Robin Anderson, Heather Breeze, Alida Bundy, Patricia M. Clay, Gavin Fay, Robert J. Gamble, Robert S. Gregory, Paula S. Fratantoni, Catherine L. Johnson, Mariano Koen-Alonso, Kristin M. Kleisner, Julia Olson, Charles T. Perretti, Pierre Pepin, Fred Phelan, Vincent S. Saba, Laurel A. Smith, Jamie C. Tam, Nadine D. Templeman, Robert P. WildermuthCM 2017/M:401. Uncertain future ahead, how can scientists, managers and stakeholders get prepared together? . Benjamin Planque, Christian Mullon, Per ArnebergCM 2017/M:210. Co-constructing a shared vision of marine territories using serious games. Alice Lapijover, Nicolas Becu, Henri Deysson, Vincent RidouxCM 2017/M:512. Serious games for building scenarios for the future of marine socioecological systems. Christian Mullon, Benjamin Planque, Olivier ThébaudCM 2017/M:351. Development of a new generalizable systems model emphasizing the human dimension; the POSEIDON framework. Ernesto CarellaCM 2017/M:475. Spatial and sequential stock depletion through increased fisher mobility: An agent-based modeling approach. Emilie Lindkvist, Andrew Frederick Johnson, Alfredo Girón-Nava, Octavio Aburto-Oropeza, Maja SchlüterCM 2017/M:350. The Modifiable Areal Unit Problem (MAUP) in the analysis of fishery behavior: new insights from VMS data. Maxime DePalle, James N. Sanchirico, Shay O'Farrell, Alan C. Haynie, Jordan T. Watson, Larry PerrusoCM 2017/M:212. Modelling fishing behaviour to determine how changes in fishing tactics may assist Irish vessels operating under the Landing Obligation. Julia Calderwood, Dave ReidCM 2017/M:74. Economic Impacts and Adaptation Strategies for Fishing Communities Facing Climate-Driven Species Changes. Brad Franklin, Jenny Sun, Brian Kennedy, Andrew Allyn, Kathy MillsCM 2017/M:182. To eat or not to eat? Two systems analytic approaches to evaluate the sustainable use of the dioxin-rich Baltic herring and salmon. Annukka Lehikoinen, Lauri Ronkainen, Päivi HaapasaariCM 2017/M:420. Challenges for the Baltic sprat supply in the face of purchase behavior changes in Poland. The results of the Prohealth project survey. Adam Mytlewski, Marcin Rakowski, Agnieszka Żurek, Tomasz KulikowskiCM 2017/M:406. Combining exploratory scenarios and Bayesian belief network to model social-ecological systems – case study on Baltic herring and salmon fisheries. Mia PihlajamäkiCM 2017/M:487. Is a single dimension enough to explain fishers’ decision-making?. Hannes Höffle, Debbi Pedreschi, Keith Farnsworth, François Bastardie, Sarah Kraak, David ReidCM 2017/M:392. Practical experiences in applying Bayesian decision models to fisheries and environmental problems: lessons learned. Sakari KuikkaCM 2017/M:357. Developing a methodology to promote resilient socio-ecological systems in South Florida, USA. Jiangxiao QiuCM 2017/M:214. Natural and land-based factors in the Guadalquivir estuary affect the abundance of anchovy in the Gulf of Cadiz (SW Spain). G.F. de Carvalho-Souza , E. González-Ortegón, F. Baldó, P. Drake, F. Ramos, I. Sobrino, C. Vilas, M. LlopeCM 2017/M:123. The Eco² Model – A basic bio-economic module for the description of the dynamics of cohort biomass in response to exploitation. Eckhard BethkeCM 2017/M:393. Development of a flexible Bayesian model of fisheries discards with priors defined by expert knowledge. Eduardo Eiji Maeda, Samu Mäntyniemi, Smaragda Despoti, Claudia Musumeci, Marianna Giannoulaki, Alessandro Ligas, Sakari Olli Kuikka</p
Joint ICES/EUROMARINE: Workshop on common conceptual mapping methodologies (WKCCMM; Outputs from 2021 meeting)
The Joint ICES/EUROMARINE Workshop on Common Conceptual Mapping Methodologies (WKCCMM) aimed to advance approaches to support inter- and transdisciplinary science via qualitative conceptual models to inform Integrated Ecosystem Assessment (IEA) throughout Eu-ropean seas and beyond.
The workshop focused on developing a common understanding of conceptual mapping meth-odologies, their key uses and limitations, and processes for effective conceptual modelling with stakeholders for a variety of applications (e.g. developing food-webs, socio-ecological modelling, scoping exercises, rapid/initial management action and/or impact evaluations). Discussion in-volved presentation and discussion of a range of conceptual modelling approaches and contexts through the examination of case studies. These case studies gave rise to a suite of recommenda-tions, including the development of a workflow for IEA, and more generic guidelines and best practice advice for the use of conceptual modelling approaches with stakeholders. Although stakeholders were not able to be included in this workshop, they were very much at the heart of discussions, with the challenges and good practices of stakeholder inclusion addressed. WKCCMM also investigated how the methodologies can be best used to contribute to IEA, and may otherwise be applied throughout the ICES community, including identifying opportunities for cross-collaboration and knowledge transfer within the network.info:eu-repo/semantics/publishedVersio
NOAA fisheries research geared towards climate-ready living marine resource management in the northeast United States
Climate change can alter marine ecosystems through changes in ocean temperature, acidification, circulation, and productivity. Over the last decade, the United States northeast continental shelf (U.S. NES) has warmed faster than any other marine ecosystem in the country and is among the fastest warming regions of the global ocean. Many living marine resources in the U.S. NES ranging from recreational and commercial fish stocks to protected species have shifted their distribution in response to ocean warming. The National Oceanic and Atmospheric Administration’s National Marine Fisheries Service (NOAA Fisheries) is responsible for the assessment, protection, and sustainable use of the nation’s living marine resources. In the U.S. NES, NOAA Fisheries has made substantial progress on climate research related to fish, fisheries, and protected species. However, more research is needed to help inform tactical management decisions with the goal of climate-ready living marine resource management. This is a major challenge because the observed physical and biological changes are unprecedented, and the majority of marine species assessments and management decisions do not utilize environmental data. Here we review the research accomplishments and key needs for NOAA Fisheries in the U.S. NES in the context of climate change and living marine resource management. Key research needs and products are: 1) Infrastructure with continued and enhanced ocean surveys that includes cooperative research with the fishing industry and other NOAA line offices and partners; 2) Tracking and projecting change, and understanding mechanisms including state of the ecosystem reporting, improved regional ocean and ecosystem hindcasts, forecasts, and projections, and continued process-based laboratory and field studies, 3) climate-informed management, including stock assessments that account for climate where possible, translation of changing species distributions into spatial management, climate vulnerability assessment and scenario planning, ecosystem-based management, management strategy evaluations, and increased multidisciplinary science that includes economic and social indicators
Operationalizing integrated ecosystem assessments within a multidisciplinary team: lessons learned from a worked example
Abstract
Between 2014 and 2016, an interdisciplinary team of researchers including physical oceanographers, biologists, economists and anthropologists developed a working example of an Integrated Ecosystem Assessment (IEA) for three ecologically distinct regions of the Northwest Atlantic; Georges Bank, the Gulf of Maine and the Grand Banks, as part of the International Council for the Exploration of the Sea (ICES) Working Group on the Northwest Atlantic Regional Sea (WGNARS). In this paper, we review the transdisciplinary and collaborative process by which the IEA was developed, with a particular focus on the decision points arising from the IEA construct itself. The aim is to identify key issues faced in developing any IEA, practical decisions made to address these issues within the working group and lessons learned from the process.</jats:p
NOAA Northeast Fisheries Science Center seasonal and annual surveys of the U.S. NES marine ecosystem.
NOAA Northeast Fisheries Science Center seasonal and annual surveys of the U.S. NES marine ecosystem.</p
Directional effect of climate change on marine fauna in the U.S. NES (from Hare et al. 2016b).
Colors represent expected negative (red), neutral (tan), and positive (green) effects. Certainty in score is denoted by text color and font: very high certainty (>95%, black, bold font), high certainty (90–95%, black, italic font), moderate certainty (66–90%, white or gray, bold font), low certainty (<66%, white or gray, italic font).</p
