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Ecosystem-based Fisheries Management is a holistic management approach that integrates the dynamics of an entire ecosystem, including societal dimensions. However, this approach seldom lives up to its promise because economic and social objectives are rarely specified. To fill this gap, we explored how an ecosystem model could better integrate economic and social objectives, using the coral reef ecosystem around Hawai'i as a case study. After meeting with stakeholders and conducting a literature review of policy/strategy documents, we identified societal and ecological objectives and associated performance indicators for which data existed. We developed a social–ecological system conceptual framework to illustrate the relationships between ecological and social state components. This framework was the foundation for the development of the final social–ecological system model which we simulated using an Ecopath with Ecosim model. We simulated four gear/species restrictions for the reef-based fishery, two fishing scenarios associated with the opening of hypothetical no-take Marine Protected Areas for the deepwater-based fishery, and a Constant Effort (No Action) scenario. Despite limitations in the model, our approach shows that when social and economic objectives and social–ecological relationships are defined, we can quantify the trade-offs among the identified societal objectives to support managers in choosing among alternative interventions. [ABSTRACT FROM AUTHOR]

Manual content analysis provides a systematic and reliable method to analyze patterns within a narrative text, but for larger datasets, where human coding is not feasible, automated content analysis methods present enticing and time-efficient solutions to classifying patterns of text automatically. However, the massive dataset needed and complexity of analyzing these large datasets have hindered their use in fishery science. Fishery scientists typically deal with intermediately sized datasets that are not large enough to warrant the complexity of sophisticated automated techniques, but that are also not small enough to cost-effectively analyze by hand. For these cases, a dictionary-based automated content analysis technique can potentially simplify the automation process without losing contextual sensitivity. Here, we built and tested a fisheries-specific data dictionary to conduct an automated content analysis of open-ended responses in a survey of the Hawai'i small boat fishery to examine the nature of the fishery conflict. In this paper we describe the overall performance of the methodology, creating and applying the dictionary to fishery data, as well as advantages and limitations of the method. The results indicate that the dictionary approach is capable of quickly and accurately classifying unstructured fisheries data into structured data, and that it was useful in revealing deeply rooted conflicts that are often ambiguous and overlooked in fisheries management. In addition to providing a proof of concept for the approach, the dictionary can be reused on subsequent waves of the survey to continue monitoring the evolution of these conflicts. Further, this approach can be applied within the field of fishery and natural resource conservation science more broadly, offering a valuable addition to the methodological toolbox. [ABSTRACT FROM AUTHOR]

A more comprehensive understanding of how recreational values and forest visitation rates vary across different activities enables forest managers to tailor conservation and management strategies to align with preferences among visitors, ensuring more effective allocation of budgetary resources. However, current research often focuses on only a few recreational activities, resulting in limited insights for forest managers. This study aims to expand the nature-based activities considered so that management can better serve the broader public. We conduct a travel cost analysis using a large survey-based dataset to estimate the value of nature-based recreation in national forests in the Sierra Nevada region and assess how these values differ across main activities. We categorize recreational activities into five broad groups (Passive, Active, Camping, Winter, and Other) to offer a comprehensive view of recreational preferences. A truncated negative binomial regression accounting for endogenous stratification is used to analyze the relationship between the number of trips to the forests, travel cost, activity categories, and socio-demographic variables. Our results suggest a mean consumer surplus (CS) of $65 per visit per person to national forests in the Sierra Nevada. Aggregated over annual per person visits, the total CS is approximately $313.3 million per year. Our findings reveal variations in CS across activity groups, with winter activities (e.g., skiing, snowboarding) and active activities (e.g., hiking, fishing) attracting the highest number of visits, and the highest total CS. Our results provide valuable insights for national forest managers, facilitating the strategic allocation of limited resources to recreational activities that maximize societal welfare., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

On-site Sewage Disposal Systems (OSDS) are globally common, and in Hawai'i they present a risk of contamination to drinking water sources and nearshore waters. State legislation has commanded that all cesspools are to be banned by 2050, thus requiring tens of thousands of systems to be converted in the coming decades. This project followed a participatory structured decision-making (SDM) approach to collaboratively design cost-effective and equitable solutions for thousands of cesspools in the high elevation areas of north Maui, Hawai'i. Participatory workshops with a diverse group of stakeholders set ten objectives and brainstormed 33 alternatives, for which the technical team then modeled groundwater nutrients, costs, and equity. All alternatives posed trade-offs, though composting toilets performed best across most objectives, albeit with high maintenance burden. Discounting innovative toilets, the multi-objective analysis suggests that the state should invest in cluster sewering of high-density communities, followed by incentivizing septic tank solutions in properties with the highest effluent flow first, then expanding across the area. The total project cost (installation and operation/maintenance) would be $183-258 million, depending upon the sewer-septic combination. An efficiency frontier reveals sub-par combinations, including aerobic treatment units and passive absorption systems, which cost much more and deliver lower mass flux reduction than more cost-effective alternatives. This study contributes a novel case of rural sanitation to the literature in which decision support tools are used to facilitate evidence-based, collaborative decision-making for sanitation planning. The state could use a similar participatory SDM process when approaching other communities to discuss their cesspool upgrade strategies. Broadening the use of decision analytic techniques can have wider ecological, economic, and social benefits for the state and contexts beyond Hawai'i, as SDM provides a transparent and rigorous, evidence-based decision-theoretic framework to explore multiple values and strategies to address difficult resource management problems., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Robert Whittier reports a relationship with Hawaii State Department of Health that includes: employment., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Land-based source pollutants (LBSP) actively threaten coral reef ecosystems globally. To achieve the greatest conservation outcome at the lowest cost, managers could benefit from appropriate tools that evaluate the benefits (in terms of LBSP reduction) and costs of implementing alternative land management strategies. Here we use a spatially explicit predictive model (InVEST-SDR) that quantifies change in sediment reaching the coast for evaluating the costs and benefits of alternative threat-abatement scenarios. We specifically use the model to examine trade-offs among possible agricultural road repair management actions (water bars to divert runoff and gravel to protect the road surface) across the landscape in West Maui, Hawaii, USA. We investigated changes in sediment delivery to coasts and costs incurred from management decision-making that is (1) cooperative or independent among landowners, and focused on (2) minimizing costs, reducing sediment, or both. The results illuminate which management scenarios most effectively minimize sediment while also minimizing the cost of mitigation efforts. We find targeting specific "hotspots" within all individual parcels is more cost-effective than targeting all road segments. The best outcomes are achieved when landowners cooperate and target cost-effective road repairs, however, a cooperative strategy can be counter-productive in some instances when cost-effectiveness is ignored. Simple models, such as the one developed here, have the potential to help managers make better choices about how to use limited resources., (Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.)