Fish and Fisheries最新文献

{"title":"Leveraging Earth Observation Data to Monitor Boat‐Based Recreational Fishing","authors":"Javier Menéndez‐Blázquez, Mara Segovia, David March","doi":"10.1111/faf.70017","DOIUrl":"https://doi.org/10.1111/faf.70017","url":null,"abstract":"Recreational fishing is widespread in coastal zones and exerts significant ecological, fisheries‐related and socio‐economic pressures. Unlike commercial fishing, small‐scale recreational fleets are challenging to monitor because they lack enforced use of vessel tracking systems such as the Automatic Identification System (AIS). Recently, remote sensing technologies have emerged as promising alternatives for monitoring marine activities. Here, we assess the potential of high spatio‐temporal resolution satellite imagery to monitor daily changes in recreational fishing boats during a temporal fishing ban within a marine protected area. By comparing satellite‐derived boat detections with AIS records, we demonstrate that satellite data can reliably capture daily changes in recreational fishing activity missed by AIS, including a marked increase immediately following the end of the ban. These findings confirm that satellite observations can consistently detect small fishing boats and reveal their fine‐scale spatio‐temporal patterns. When complemented with local knowledge, this approach enhances our capacity to contribute to the spatial planning and ecosystem‐based management of recreational fisheries.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"48 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144911011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Putting Regional Fisheries Management Organisations' Climate Change House in Order","authors":"Kamal Azmi, Graham Pilling, Johann Bell, Yi‐Jay Chang, Adele Dutilloy, Timothy H. Frawley, Paul Hamer, John Hampton, Quentin Hanich, Tyla Hill‐Moana, Jhen Hsu, Glenn Hurry, Leyla Knittweis, Hongyu Lin, Dongqi Lu, Philipp Neubauer, Simon Nicol, Robert Scott, Inna Senina, Yang Wang, Ashley J. Williams, Fan Zhang","doi":"10.1111/faf.70015","DOIUrl":"https://doi.org/10.1111/faf.70015","url":null,"abstract":"Climate change is expected to have significant impacts on the biology, abundance and distribution of transboundary fish stocks, not only among neighbouring countries within the jurisdictions of regional fisheries management organisations (RFMOs) but also between adjacent RFMOs. Using South Pacific albacore tuna (<jats:styled-content style=\"fixed-case\"><jats:italic>Thunnus alalunga</jats:italic></jats:styled-content>) as a case study, we highlight how RFMOs need to understand the impacts of climate change on transboundary stocks under their purview with greater certainty. We identify four areas of research that should assist RFMOs to adapt their scientific processes—strengthened understanding of changes in the biology of target stocks; enhanced collection of data to support modelling; improved modelling of catch‐per‐unit of effort (CPUE) to better reflect climate change impacts on stock abundance for assessments; and ensuring that scientific advice is adaptive and robust to climate change, including through implementation of tested harvest strategies. Investments in these research areas should enable RFMOs to improve the science underpinning management measures designed to sustain transboundary stocks and increase fishery performance during climate change.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"27 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Helping to Build Stock Assessment Capacity in Australia: A Case Study","authors":"Catherine Mary Dichmont, Natalie Anne Dowling, André Eric Punt, Sean Pascoe, Roy Aijun Deng, Ingrid van Putten, Jason Marc Cope","doi":"10.1111/faf.70018","DOIUrl":"https://doi.org/10.1111/faf.70018","url":null,"abstract":"Fisheries stock assessment capacity faces resource constraints in many countries, including limited personnel, high workloads, and restricted funding. Stock assessment scientists often operate under short timelines, with outcomes that can influence livelihoods and receive public scrutiny. Scientists frequently manage multiple assessments each year, making time management a challenge. Consequently, finding opportunities to invest in professional development remains difficult within existing operational demands. We developed a series of approaches to invest in Australia's employed stock assessment capacity, and present these as a case study for other similar marine science fields and countries. The approaches led to critical insights to a way forward to develop a ‘Community of Practice’. We used network analyses to evaluate collaboration based on published Australian stock assessments and related papers. We then used surveys and interviews to understand the factors that have constrained stock assessment scientists in investing in their own development. Tools and opportunities were then made available: (a) a web site providing a central repository on freely available stock assessment packages and Australian stock assessment reports; (b) training courses on the use of assessment packages that were open to participants across organisations; and (c) a simulation game to learn in a ‘consequence free’ environment. This paper highlights what has been learnt and generalises these findings beyond the Australian stock assessment community's well‐being.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"16 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Making the Most of Available Data: A Case Study of Converging Analyses to Model an Emerging Fishery for Jonah Crab (Cancer borealis)","authors":"Ruby Krasnow, Les Kaufman, Ethan Deyle","doi":"10.1111/faf.70011","DOIUrl":"https://doi.org/10.1111/faf.70011","url":null,"abstract":"Targeted fishing of Jonah crabs (<jats:styled-content style=\"fixed-case\"><jats:italic>Cancer borealis</jats:italic></jats:styled-content>) has greatly intensified in recent decades as lobster populations have declined, forcing fishermen to shift their focus to Jonah and other crab species. Effective management of this developing fishery is limited, however, by a lack of information on their life history traits, abundance and distribution. The long‐term sustainability of the fishery depends upon near‐term efforts to maximise the value of existing data sources to assess species abundance and inform management. We applied three distinct modelling approaches—traditional linear regression, generalised additive models and empirical dynamic modelling—to data from the Maine–New Hampshire Inshore Trawl Survey to validate hypotheses about Jonah crab distribution and migration earlier derived from interviews with fishermen. There was strong agreement between the information reported by fishermen and the survey data, including depth preferences, seasonal inshore–offshore movements and sex‐specific migration patterns. This study demonstrates that rather than simply deploying a multi‐modal approach with model selection or averaging, employing a complement of statistical methods convergently and interfacing with engaged social science can better capitalise on limited fishery‐independent data to support the development of sustainable management frameworks for emerging fisheries.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"201 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Data Deficient to Big Data in Shark Conservation","authors":"F. Ferretti, J. Jenrette, S. Moro, C. Butner, E. Fox, S. H. D. Haddock, S. J. Jorgensen, T. Hastie, F. Micheli","doi":"10.1111/faf.70006","DOIUrl":"https://doi.org/10.1111/faf.70006","url":null,"abstract":"Citizen science is increasingly harnessed worldwide to gather data otherwise requiring a prohibitive investment of funding and time. Meanwhile, the revolution in digital communication offers opportunities from crowdsourcing, big data approaches and social network mining to quickly and cost‐effectively fill major gaps in knowledge necessary to protect endangered populations. Sharks are among the most endangered and data‐poor vertebrates in the ocean. Mainly due to overfishing, many shark populations are declining worldwide, while most species lack basic abundance, distribution and life‐history data. Hence, filling knowledge gaps across taxa, ecosystems, and regions is urgently needed to increase our understanding of their ecology, develop effective conservation actions and reverse their loss. Here, we introduce a novel citizen science and crowdsourcing approach for conservation through sharkPulse, a new platform automating data ingestion and organisation to build the largest database of shark occurrence records to date. Designed to complement and extend similar biodiversity monitoring tools relying heavily on user submissions, sharkPulse aims to source large streams of online shark images and transform them into occurrence records, filling knowledge gaps in shark ecology and biology. This platform offers a blueprint to leverage AI and big data approaches, social network data mining and participatory science to efficiently and continuously source visual media materials and transform the monitoring of data‐limited marine and terrestrial animal populations.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"40 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144850675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conceptualisation and Assessment of Inequality in Small‐Scale Fisheries","authors":"L. Nahuelhual, G. Saavedra, V. Pizarro, J. Barriga Parra, G. Blanco, R. Estévez, S. Gelcich, M. Libuy, N. I. Segovia","doi":"10.1111/faf.70014","DOIUrl":"https://doi.org/10.1111/faf.70014","url":null,"abstract":"This review analyses 73 peer‐reviewed publications using a combined qualitative and quantitative approach to examine how inequality in small‐scale fisheries is conceptualised, which drivers are most frequently identified, how they manifest, and how proposed interventions address them. The literature shows some conceptual overlap among terms such as ‘inequality’, ‘inequity’, ‘unfairness’ or ‘injustice’, which may reflect both interdisciplinary diversity and the fact that inequality is often addressed indirectly through broader frameworks (e.g., poverty; governance). Social and regulatory dimensions of inequality—particularly sex/gender exclusion and policy implementation—were the most frequently studied, while technological, environmental and conservation‐related dimensions were addressed less frequently. Most studies focused on the extraction stage, with fewer addressing inequalities along downstream segments of the value chain. The results reveal that inequality drivers co‐occur in patterned configurations reflecting broader structural dynamics (e.g., the interplay between gender exclusion, market barriers and inequitable policy implementation in coastal fisheries) and intersectionality (e.g., indigenous women fishers facing simultaneous exclusion based on gender, ethnicity and lack of access to formal governance or financial systems). However, proposed interventions to address the problem seem insufficiently aligned with the specific drivers they aim to address. These patterns reflect the complexity of addressing inequality in SSF: while the issue is widely acknowledged, it is often approached through fragmented terms and disconnected responses. Making progress may require not more consensus, but more precision—in how inequality is described, situated and acted upon.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"2 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144850674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The U.S. Ecosystem‐Based Fisheries Management Policy and Road Map: Assessing Progress and Applying Lessons Learned","authors":"Chris J. Harvey, Yvonne L. deReynier, Wendy E. Morrison, Jennifer L. Cudney, Dorothy M. Dick, Travis Ford, Karla Gore, Jamison M. Gove, Elliott L. Hazen, Jerome M. Hermsen, Keith Kamikawa, Mandy Karnauskas, Scott I. Large, Savannah Lewis, Tyler C. Loughran, Sean M. Lucey, Stephanie A. Oakes, Jay O. Peterson, Jodi L. Pirtle, Tauna L. Rankin, Heather Sagar, Jameal F. Samhouri, Elizabeth Siddon, Helen Takade‐Heumacher, Katie Zanowicz, Jason S. Link","doi":"10.1111/faf.70012","DOIUrl":"https://doi.org/10.1111/faf.70012","url":null,"abstract":"The need for ecosystem‐based fisheries management (EBFM) is growing more urgent as environmental changes, species shifts, new ocean uses, and other factors force oceans toward novel states. In the United States, the National Oceanic and Atmospheric Administration's National Marine Fisheries Service (NOAA Fisheries) developed an EBFM Policy in 2016, accompanied by a Road Map of 49 action items, to support marine ecosystem‐based management and conservation of fisheries, habitats, and protected species under U.S. federal jurisdiction. In 2024, NOAA Fisheries updated its EBFM Policy and Road Map and formed a team of science and policy experts to review progress and derive lessons learned during the first Road Map iteration. Four key lessons emerged: (1) progress toward EBFM in the U.S. has been substantial; (2) greater coordination could further enhance progress; (3) more effort is required to link science to management activities; and (4) human dimensions need greater integration throughout EBFM implementation. Enabling factors for progress on the Road Map included: champions at both the leadership and staff levels; use of participatory processes; motivation driven by ecosystem shocks and threats; and leveraging existing processes and frameworks. The updated EBFM Road Map supports historic and ongoing efforts to implement U.S. laws through improved coordination, integration, and knowledge exchange and can help to address many urgent challenges facing U.S. marine fisheries, habitats, and protected resources.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"27 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144715412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating Time‐Varying Productivity and Reference Points: A Case of North Sea Demersal Fish Stocks","authors":"Tobias K. Mildenberger, Casper W. Berg, Alexander Kempf, Anna Rindorf, Alec D. MacCall, Marc H. Taylor","doi":"10.1111/faf.12910","DOIUrl":"https://doi.org/10.1111/faf.12910","url":null,"abstract":"The productivity of marine fish populations determines both maximum sustainable yield (MSY) and resilience to exploitation. While biological reference points like MSY and depend on species traits and population density, they are also influenced by environmental variability and ecological interactions. However, commonly used models, such as stock–recruitment and surplus production models (SPMs), often assume constant productivity and reference points over time, potentially overlooking important ecosystem changes. We conducted a semi‐systematic literature review to identify covariate‐free approaches for modelling time‐varying productivity in marine populations. Based on this, we developed a continuous‐time stochastic SPM framework that allows both the intrinsic growth rate () and carrying capacity () to vary and co‐vary over time. Simulation experiments showed that time‐varying models, especially those with correlated changes in and , significantly improved estimation accuracy while retaining robust convergence. As a case study, we applied this model to seven commercially important demersal fish stocks in the North Sea. Results revealed a 56% average decline in MSY over four decades, with roundfish showing greater declines than flatfish. Temporal patterns in productivity correlated with environmental variables such as bottom temperature and salinity, indicating potential drivers. Our findings provide evidence of long‐term productivity declines in North Sea demersal stocks and offer a covariate‐free method for reconstructing historical reference points. This work underscores the need for adaptive management strategies that account for shifting productivity regimes under ongoing environmental change.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"23 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144612904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards Implementing Multispecies Harvest Strategies That Are Robust to Interacting Populations","authors":"Éva E. Plagányi, Jacob G. D. Rogers, Laura K. Blamey, Amelia A. Desbiens, Marjoleine M. H. Roos, Denham Parker","doi":"10.1111/faf.70009","DOIUrl":"https://doi.org/10.1111/faf.70009","url":null,"abstract":"A longstanding tenet of ecosystem‐based fisheries management (EBFM) is to account for trophic interactions given that all species exist as part of connected food webs. However, explicit incorporation of trophic interactions in tactical management models and decision‐making frameworks remains elusive. We draw on harvest strategy (HS) framework principles to advance the implementation of fisheries management that is Robust to Interacting Populations (RIP) and focus on simplifying and structuring it to be as pragmatic as possible. We posit that the objectives and the overall process can be structured using four main categories: (A) Whole‐of‐Ecosystem, which encompasses not exceeding the overall limits of system productivity and protecting overall ecosystem structure and function; (B) Identify and focus on key species and those with influential trophic connections that require more careful management because of the disproportional reliance of other species on these; (C) Species that interact with fisheries and are of conservation concern; and (D) pest or climate‐immigrant species with the objective of managing these to achieve desired outcomes for other (target) species in an ecosystem. For each category, we provide examples of the multispecies HS components required to inform decision‐making: indicators, data, reference levels, methods and decision rules, and identify common tools and opportunities. Finally, we summarise progress made and remaining gaps in our ability to collectively construct pragmatic guidelines for advancing EBFM and achieving RIP fisheries management to conserve marine ecosystem structure and functioning.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"15 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144603247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imputation of Fisheries Reference Points for Endangered Data‐Poor Fishes, With Application to Rhino Rays","authors":"Catharine Horswill, Holly K. Kindsvater, Nick K. Dulvy, Chris G. Mull, Aaron B. Judah, Brooke M. D'Alberto, Jason Matthiopoulos, Marc Mangel","doi":"10.1111/faf.70003","DOIUrl":"https://doi.org/10.1111/faf.70003","url":null,"abstract":"For data‐limited fish species, sustainable management frequently relies on biological metrics that are derived from life‐history trait data, as opposed to high‐resolution time series of catch and abundance. These biological metrics are used to assess a species' recovery potential at low population densities, as well as their extinction risk. However, for really data poor species, the life‐history traits required to derive these metrics are also often only partially known. Addressing this gap is essential for informing regulatory and conservation actions for vulnerable species and stocks lacking assessments. We developed a generalisable, phylogenetically informed framework for imputing missing life‐history traits across different taxa and applied it to 57 species within the order <jats:italic>Rhinopristiformes</jats:italic> (rhino rays), an evolutionarily distinct and highly threatened group with notably sparse life‐history data. We then used the imputed traits to derive four key management and conservation metrics: steepness of the Beverton–Holt stock–recruitment relationship, spawning potential ratio at maximum sustainable yield, maximum intrinsic population growth rate and generation length. We found strong correlations between mean life‐history traits and three management metrics. While uncertainty in management metrics remained high due to intraspecific variability, measurement error and limited data, using reconstructed traits reduced uncertainty compared to using surrogate trait data from other populations or congeneric species. We provide imputed trait values and corresponding management and conservation metrics alongside uncertainty bounds that should be recognised in any subsequent conservation assessments and management strategy evaluations. The proposed framework enables the generation of first‐order, evidence‐based management and conservation metrics for data‐limited taxa, thereby supporting more informed decision‐making for species without comprehensive species‐level assessments.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"4 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144603253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}