Fish and Fisheries最新文献

{"title":"Life History Stage, Body Size and Morphology Dominate Fish Critical Swimming Speed: A Global Synthesis","authors":"Lu Yang, Juan Tao, Guangjie Cheng, Mengxue Zhang, Bangli Tang, Yang Liu, Chengzhi Ding","doi":"10.1111/faf.70121","DOIUrl":"https://doi.org/10.1111/faf.70121","url":null,"abstract":"Critical swimming speed (Ucrit) is widely used to quantify prolonged swimming performance in fishes, yet available measurements remain concentrated in particular species, life history stages, morphotypes and experimental contexts, leaving broad‐scale patterns of Ucrit variation poorly synthesized. Here, we compiled a global dataset of experimentally measured absolute and relative Ucrit (absolute Ucrit standardized by body length) from 1345 experimental cases across 361 species and 387 publications. Body length was strongly associated with Ucrit, but this association varied between absolute and relative Ucrit and among life history stages. Absolute Ucrit increased with body length across all stages, more steeply in larvae than in adults and juveniles, whereas relative Ucrit declined with body length in adults and juveniles but increased weakly in larvae. Morphology provided further explanatory insight in adults and juveniles: elongated body forms and forked or lunate caudal fins were generally associated with higher Ucrit, while caudal peduncle throttling (CPt) was negatively associated with both absolute and relative Ucrit, and body lateral shape (BLs) was negatively associated mainly with relative Ucrit. Water temperature was positively associated with both Ucrit metrics after accounting for body length, life history stage and ecosystem type, although temperature slopes varied among ecosystem types (freshwater, marine, migratory). Overall, these results show that body‐size scaling differs between absolute and relative Ucrit and that Ucrit variation is jointly associated with life history stage, morphology and temperature, providing a clearer basis for comparing swimming performance across fishes and interpreting Ucrit reference values in applied ecological and management contexts.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"9 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149305064","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":"Contrasting the Evolutionary Pathways of Small‐ and Large‐Scale Fishing","authors":"Davide Thambithurai, Esben M. Olsen, Anna Kuparinen","doi":"10.1111/faf.70118","DOIUrl":"https://doi.org/10.1111/faf.70118","url":null,"abstract":"Fishing‐induced evolution (FIE) has emerged as a key concern in fisheries science, yet it remains unclear how different fishing sectors contribute to evolutionary change. Here we examine how large‐scale fisheries (LSF) and small‐scale fisheries (SSF) may differ in the pathways through which fishing mortality becomes trait‐dependent in fish populations. We synthesise how fishery characteristics—including fishing intensity, spatial and temporal targeting, gear diversity, technological capacity, target breadth and governance structures—may influence the timing, consistency and targets of selection, thereby shaping evolutionary outcomes. We suggest that SSF may generate more heterogeneous selection regimes, acting on individual variation in behavioural, ecological and vulnerability‐related traits through partial harvesting, diverse gear use and localised fishing practices. In contrast, LSF may generate consistent patterns of trait‐dependent mortality because of operational scale, greater catch capacity, advanced technologies and standardised management frameworks. These differences do not necessarily imply stronger or weaker overall selection, but suggest that SSF and LSF may differ in the mechanisms through which phenotypes become exposed to fishing mortality and the traits most likely to be affected. Differences in target specificity, bycatch and discard practices may also contribute to divergent evolutionary pathways between sectors. While high mortality remains an important driver of life‐history evolution, sector‐specific mechanisms may shape trait trajectories, including behaviour, growth, habitat use and migration. We highlight key knowledge gaps and emphasise the need to integrate evolutionary perspectives into both LSF and SSF management, especially given technological advancement and potential future regulation and standardisation of SSF practices.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"13 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149226516","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":"Rebuilding‐Time Based Reference Points: A Forward‐Looking Risk‐Equivalent Framework for Fisheries Management","authors":"Laurence T. Kell, Tobias K. Mildenberger, Christopher A. Griffiths, Marc H. Taylor, Massimiliano Cardinale, Casper W. Berg","doi":"10.1111/faf.70117","DOIUrl":"https://doi.org/10.1111/faf.70117","url":null,"abstract":"Biomass‐based reference points are used to define stock status and set sustainable exploitation levels. Risks should be equivalent across stocks, regardless of the data and knowledge available to assess them by maintaining comparable probabilities of achieving targets and avoiding limits across agreed time scales. This study introduces , the lowest biomass from which a stock can rebuild to a target within an agreed time‐frame under a specified fishing scenario, and , the time required to rebuild from a given state. Once (or an equivalent biomass threshold), , and a harvest control rule defining are agreed, is a random variable with a probability distribution. can serve as a limit or a trigger in harvest control rules. Using age‐structured projections for 82 Northeast Atlantic stocks, we summarise the relationship between and life‐history covariates (, steepness) across stock–recruitment scenarios. Recovery is faster for stocks with higher per capita productivity (i.e., ) and steepness, with little difference between Beverton–Holt and Ricker forms once these characteristics are accounted for. The approach shifts emphasis from recruitment impairment to rebuilding capacity, makes the trade‐off with yield during rebuilding explicit, and provides a common currency for risk‐equivalent advice across assessment models and data tiers.","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"14 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149226515","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":"Editorial: Special Issue in Honour of Tony Pitcher and Paul Hart","authors":"Mike Webster, Katja Enberg, Anna Kuparinen","doi":"10.1111/faf.70115","DOIUrl":"10.1111/faf.70115","url":null,"abstract":"","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"27 6","pages":"1307-1308"},"PeriodicalIF":6.3,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149151809","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":"Statistical Power and the Effects of Old, Wise and Large Fish","authors":"Øystein Langangen,&nbsp;Nicolas Dupont,&nbsp;Jan Heuschele,&nbsp;Joël M. Durant","doi":"10.1111/faf.70113","DOIUrl":"10.1111/faf.70113","url":null,"abstract":"<div>\u0000 \u0000 <p>Currently, a major concern for fish populations is their declining resilience to climate events, reduced individual sizes and productivity and increased instability. Population dynamics of fish are often dominated by recruitment, i.e., the number of young fish entering the population. The contribution of old and large female fish (often denoted BOFFs) to recruitment is expected to be disproportionately large; however, the importance is still debated. There is currently a move to expand quantitative knowledge of the effects of BOFFs on recruitment to better cover the thousands of fish species and populations worldwide. Here, we show, using simulations, that time-series length and uncertainty often reduce the statistical power to levels where the effects are no longer detectable. We suggest system-specific methods evaluation to reduce the risks of erroneous conclusions.</p>\u0000 </div>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"27 6","pages":"1290-1296"},"PeriodicalIF":6.3,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148809898","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":"Relationships Between Oceanic Primary Production, Human Habitation and Variation in the Life-History Traits of Coral Reef Fishes Across the Northern Line Islands","authors":"Brian J. Zgliczynski,&nbsp;Lindsay T. Caldwell,&nbsp;Gareth J. Williams,&nbsp;Scott L. Hamilton,&nbsp;Chelsea L. Wood,&nbsp;Alan M. Friedlander,&nbsp;Anela K. Akiona,&nbsp;Yoan Eynaud,&nbsp;Edward E. DeMartini,&nbsp;Stuart A. Sandin","doi":"10.1111/faf.70116","DOIUrl":"10.1111/faf.70116","url":null,"abstract":"<p>Biophysical processes associated with large-scale nearshore oceanographic upwelling can influence coral reef communities by increasing the delivery of nutrient subsidies and food resources to reefs. However, these processes occur alongside anthropogenic activities that may alter ecological patterns across coral reef ecosystems. We examined relationships among nearshore oceanic primary production, human habitation, and the abundance, biomass, body condition and life-history traits of eight common coral reef fish species across six islands in the Northern Line Islands, central Pacific Ocean. Variation in oceanic primary production and habitation status was associated with differences in abundance, biomass, body condition and life-history traits (i.e., growth rates, maximum size and longevity) of key coral reef fishes. These relationships varied among species and islands, with some taxa exhibiting more pronounced relationships with productivity and human habitation than others. Among uninhabited islands, several grazer-detritivore species exhibited life-history patterns that were consistent with variation in oceanic primary production, whereas these relationships between productivity and life-history traits were less apparent among inhabited islands. In contrast, piscivore-invertivore species generally exhibited stronger differences associated with human habitation status. These findings suggest that local human impacts may influence life-history traits of reef fishes even when strong gradients in oceanic primary production are present. Although the mechanisms underlying these patterns were not evaluated directly, our results highlight the role of biophysical processes in shaping coral reef fish assemblages and suggest that human activities may alter ecological relationships linking environmental conditions and life-history traits across tropical reef ecosystems.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"27 6","pages":"1269-1282"},"PeriodicalIF":6.3,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70116","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148958002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Behavioural Diversity of Fishes: Concepts, Drivers and Its Role in Conservation and Management","authors":"Marie Prchalová,&nbsp;Robert Arlinghaus,&nbsp;Samuel Westrelin,&nbsp;Ivan Jarić,&nbsp;Michael G. Bertram,&nbsp;Josep Alós,&nbsp;Henrik Baktoft,&nbsp;Jack A. Brand,&nbsp;Tomas Brodin,&nbsp;Adolfo Cordero-Rivera,&nbsp;Carlina Feldmann,&nbsp;Ryo Futamura,&nbsp;Stefan Hont,&nbsp;Pascal Klamser,&nbsp;Cecilie Iden Nilsen,&nbsp;Johann Mourier,&nbsp;Karl Øystein Gjelland,&nbsp;Esben Moland Olsen,&nbsp;Polona Pengal,&nbsp;Rubén Rabaneda-Bueno,&nbsp;Milan Říha,&nbsp;Theresa Rueger,&nbsp;Holger Schielzeth,&nbsp;Marco Signaroli,&nbsp;Marija Smederevac-Lalić,&nbsp;Christopher T. Monk","doi":"10.1111/faf.70107","DOIUrl":"10.1111/faf.70107","url":null,"abstract":"<p>Human activity has altered nearly all ecosystems on Earth, contributing to substantial biodiversity loss across taxonomic, genetic and functional dimensions, from the intraspecific to the ecosystem scale. Yet some components of biodiversity remain hidden or underappreciated, including behavioural diversity. Behaviour is often among the earliest whole-organism responses to environmental change, and diversity in behaviour can occur within individuals, among individuals, among populations and across communities and ecosystems. This variation may influence growth, survival, reproduction, ecological interactions and responses to anthropogenic pressures, although its effects on population stability and resilience are likely context-, scale- and component-dependent. In this review, we examine behavioural diversity in fishes, defined here as variation in behavioural traits across levels of biological organisation, from individuals to ecosystems. Our review has two complementary aims. First, we provide a conceptual overview of behavioural diversity, clarify how it differs from related constructs such as personality, plasticity, and behavioural syndromes, and summarise the evolutionary, ontogenetic, ecological, stochastic and anthropogenic processes that generate or erode it. Second, we evaluate why behavioural diversity matters for fish ecology, fisheries management, aquaculture, restoration and conservation. We conclude by identifying key research needs, including improved quantification, stronger empirical links between behavioural diversity and ecological outcomes, and the development of management approaches sensitive to behavioural diversity. More explicit consideration of behavioural diversity should improve our ability to predict fish behavioural diversity responses and to design conservation and management measures that account for variation rather than only average behavioural responses.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"27 6","pages":"1245-1268"},"PeriodicalIF":6.3,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70107","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148877358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lack of Capacity: The Not-So-Hidden Factor Undermining Fisheries Governance","authors":"Haas Bianca,&nbsp;Aqorau Transform,&nbsp;Lennan Mitchell","doi":"10.1111/faf.70114","DOIUrl":"10.1111/faf.70114","url":null,"abstract":"<p>The demand for marine resources is increasing, and an increasing number of fish stocks are fully or overexploited. To turn this downward projection around, states need to strengthen the effectiveness, equity and implementation of fisheries management measures. One important component that often determines the performance of fisheries management is the capacity of the participating parties. Despite the increased global awareness regarding the need for enhanced capacity support, many coastal developing states still lack the skills and tools to implement conservation and management measures effectively. In this paper, we highlight some of the current issues in capacity building, looking at the individual, national and regional levels. We argue that capacity is a core determinant of equity and effectiveness in fisheries governance. Furthermore, we describe the potential of complementary mechanisms to provide capacity support. Specifically, we focus on the climate change regime and the Agreement on Biodiversity Beyond National Jurisdiction. Unless coastal developing states have the sustained scientific, legal, technical, institutional and financial capacity to participate meaningfully in regional fisheries management organisations, the adoption of conservation and management measures will not necessarily translate into effective or equitable outcomes.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"27 6","pages":"1297-1306"},"PeriodicalIF":6.3,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70114","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148877357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inferring the Number of Spawning Events From Young-of-the-Year Genomic Samples and Otolith-Derived Birth Dates: A Richness-Estimator Perspective","authors":"Tetsuya Akita,&nbsp;Yohei Tsukahara,&nbsp;Hiroshige Tanaka","doi":"10.1111/faf.70112","DOIUrl":"10.1111/faf.70112","url":null,"abstract":"<p>Estimating the number of spawning events per female is key to understanding reproductive output in batch-spawning species, yet direct observation is often infeasible in the wild. Recent advances in genetic kinship inference enable the identification of maternal half siblings from young-of-the-year genomic samples, while otolith-based age determination provides reconstruction of offspring birth dates. Here we develop an offspring-based framework for estimating the number of clutches produced by individual females by integrating sibling structure inferred from genomic data with otolith-derived birth-date information, obtained from a subset of offspring within each maternal sibling group. By recasting clutch identification as a richness estimation problem, we apply the Chao1 estimator to infer the total number of spawning events from incomplete offspring samples. Using simulation experiments, we evaluate how sampling effort and heterogeneity in clutch size influence clutch detection and estimation. Under uniform clutch-size distributions, modest samples per maternal family (10–20 offspring) accurately estimate total clutch number, substantially outperforming naive counts of observed birth-date classes by recovering information from rare or unobserved spawning events. In contrast, skewed or multimodal clutch-size distributions lead to underestimation at low sample sizes, indicating that uneven reproductive output increases the sampling effort required for reliable inference. Our results demonstrate how offspring genomic data and otolith-derived birth dates can be jointly leveraged to reconstruct individual spawning histories under realistic sampling constraints. Our framework enables inference of within-season reproductive schedules in batch-spawning species and highlights opportunities for integrating genomic and life-history data in fisheries monitoring and reproductive ecology.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"27 6","pages":"1283-1289"},"PeriodicalIF":6.3,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70112","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148675016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Addressing Bias in Non-Probability Fisheries Surveys Using Multilevel Regression and Poststratification Approaches","authors":"Zachary Radford,&nbsp;Wendy Edwards,&nbsp;Samantha Hook,&nbsp;Bridgid Bell,&nbsp;Rebecca Mills,&nbsp;Grace Farrell,&nbsp;Martin J. Genner,&nbsp;Stephen D. Simpson,&nbsp;Kieran Hyder","doi":"10.1111/faf.70101","DOIUrl":"10.1111/faf.70101","url":null,"abstract":"<p>Quantifying harvest of fish stocks is challenging as census data are often unavailable, so surveys are required. Traditional probability-based surveys use random sampling to obtain representative data that can be scaled to estimate total impact. However, these surveys are costly, so cheaper, non-probability, citizen science surveys of self-selected participants are becoming commonplace. Respondents in these surveys may not be representative and inclusion probabilities are unknown, making weighting difficult. This resembles exit polls, which successfully predict election outcomes using Multi-level Regression and Post-stratification (MRP), but this has not been tested in fisheries. This study applied MRP to quantify UK recreational sea angling (RSA) participation and catches using data from the UK Sea Angling Diary Project. This represents a ‘worst-case’ scenario, as there is no sampling frame and no mandatory reporting. Five Bayesian multi-level models were fitted to two survey datasets: one quantifying participation and days fished, and another location, numbers, and weight of fish caught. Predictions were post-stratified using UK census data. Estimates from the traditional reweighting and MRP were compared, and a simulation approach was used to assess the accuracy and precision of the two methods. MRP reduced self-selection bias and improved estimates in under-represented groups, producing a 40% and 61% improvement for participation and catch, respectively. Average annual UK RSA participation was estimated to be 688,000 anglers, with 6.1 million days fished. Annual catch estimates were 32.4 million fish, weighing 14,876 t. This study demonstrates the value of MRP for reducing bias when analysing and scaling non-probabilistically collected survey data.</p>","PeriodicalId":169,"journal":{"name":"Fish and Fisheries","volume":"27 5","pages":"1088-1106"},"PeriodicalIF":6.3,"publicationDate":"2026-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/faf.70101","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148288453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}