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Local, national, and international efforts to address the issue of derelict fishing gear are often limited by resources and costs. Managers and policymakers have implemented various preventative, impact reducing, and curative measures to decrease derelict fishing gear abundance and impacts, but stakeholder support is essential for success. To identify stakeholder preferences and the most efficient measures to address the issue of derelict blue crab pots in Chesapeake Bay, we distributed a stated preference survey with a discrete choice experiment to 1,032 licensed commercial fishers in Virginia and received a 42% response rate. The choice experiment consisted of hypothetical scenarios with two alternatives that included a combination of derelict pot mitigation activities potentially paired with incentives, and a third alternative for maintaining the status quo. The probability that the average respondent would participate in derelict pot mitigation activities ranged from 0.46 (SE=0.07) for “Recycle at facility on land,” to 0.03 (SE=0.02) for “Pot modification.” Willingness to accept estimates were similarly variable, ranging from US $61 (SE=129) to participate in “Recycle at facility on land,” to US $1,449 (SE=359) for “Pot modification.” Non-monetary management incentives (e.g., bushel limit increase, pot limit increase, or season extension) generally did not induce participation in mitigation activities; however, heterogeneity observed in preferences of fishers could be used to target different segments of the population to participate in specific actions. Addressing the complex problems caused by marine debris, especially derelict fishing gear, is costly, and understanding stakeholder preferences and decision-making can help identify the most cost-effective solution.

As increasingly large extents of the global oceans are being managed through spatial measures, it is important to identify area characteristics underlying network distributions. Studies discerning spatial patterns in marine management have disproportionately focused on global networks. This paper instead considers the single country context of Japan to illuminate within-country drivers of area-based conservation and fishery management. A dataset containing potentially relevant socioeconomic, environmental, and fisheries factors was assembled and used to model prefecture-level counts of marine protected areas (MPAs) and territorial use rights for fisheries (TURFs) throughout Japan's waters. Several factors were found to significantly influence the number of TURFs in a particular area, whereas MPA patterns of use remain largely unexplained. TURFs are frequently noted as more suitable for managing fisheries of low mobility species and our analysis finds greater use of TURFs in areas that rely heavily on benthic catch. The number of trading ports was also found to be positively related to TURF distributions, suggesting economic infrastructure may influence the use of this fisheries management tool. In-line with global analyses, MPA patterns of use were not found to be significantly related to any of the potential explanatory variables after correcting for the number of statistical comparisons that were carried out. Differences in our ability to model the use of TURFs and MPAs may arise due to the narrower objectives associated with the former (e.g., income, employment) in comparison to the often broad and varied goals that motivate use of the latter.

While commercial and recreational fisheries are often considered to compete with one another, in the Atlantic bluefin tuna fishery along the U.S. east coast individual fishermen are permitted to fish either commercially or recreationally on a trip-by-trip basis. How these individuals choose to fish can affect whether the fishery adheres to domestic bluefin tuna regulations and could impact the United States' ability to comply with international management measures. We applied a contingent sequential stated choice survey to bluefin tuna fishermen to identify key factors governing disposition decisions, evaluate the impact of inertia (habit formation), and forecast future harvest patterns. Those who primarily fished recreationally demonstrated more opportunistic harvest tendencies than their commercial counterparts, who were more stable in their preference to harvest fish for sale. Simulations based on model results indicated that fish disposition (harvest commercially, harvest recreationally, or release) varied widely based on regulatory, individual, and fishery characteristics. Such results can help managers to forecast harvest patterns and adopt regulatory tools to ensure that harvest remains within prescribed limits.