All Stories

  1. Eastern Bering Sea krill abundance trends and climate response inferred from predator stomach contents and joint spatiotemporal models
  2. Dynamic structural equation models for ecosystem-based fisheries management: case studies and a practical guide
  3. Shifts and expansion in a spatially structured fish stock spanning international borders in the Northwest Atlantic
  4. Neural network AI models address foundational topics in fisheries science, including forecasting and harvest optimization
  5. Global patterns and processes of establishment risk by non‐indigenous marine fish
  6. Structural Equation Modelling Reveals How Allometry Shapes Integration in Avian Cranial Evolution
  7. Parsimonious estimation of environment- and demography-dependent movement in spatially stratified stock assessment models
  8. Ecological examples of nonstationarity, nonlinearity and statistical interactions in dynamic structural equation models
  9. Causal Models as a Scientific Framework for Next‐Generation Ecosystem and Climate‐Linked Stock Assessments
  10. Changes in Body Size With Age Do Not Follow the Temperature‐Size Rule
  11. AI for Fisheries Science: Neural Network Tools for Forecasting, Spatial Standardization, and Policy Optimization
  12. Generalized graphical mixed models connect ecological theory with widely used statistical models
  13. Predicting oxygen thresholds of marine taxa to improve ecological forecasts
  14. Joint Spatiotemporal Models for the Estimation of Prey Consumption and Predator–Prey Overlap: Dynamics of Pacific Cod Predation on Snow and Tanner Crab in the Eastern Bering Sea
  15. Estimating scale‐dependent covariate responses using two‐dimensional diffusion derived from the stochastic partial differential equation method
  16. Toward ecological forecasting of West Nile virus in Florida: Insights from two decades of sentinel chicken surveillance
  17. Probabilistic Forecasts of Fish Abundances With Spatio‐Temporal Models to Support Fisheries Management
  18. Bottom‐Up Interactions in State‐Space Age‐Structured Models Using Mass‐Balance Dynamics
  19. Biological and Physical Environmental Drivers of Diet Variation in Northern Fur Seals
  20. Marine communities do not follow the paradigm of increasing similarity through time
  21. Spatially varying coefficients improve discrete choice models for tuna purse seine fisheries in the Western–Central Pacific
  22. Essential fish habitat consultations support ecosystem-based fisheries management in Alaska
  23. Assessing benthos through predator stomach contents: spatiotemporal modeling of abundance and habitat use
  24. Population structure of Greenland halibut across the North Atlantic inferred from large-scale monitoring and spatial modelling
  25. Testing the validity of lognormal likelihoods for abundance indices in stock assessment models using the generalized gamma distribution
  26. Biological and physical environmental drivers of diet variation in northern fur seals
  27. The generalized gamma is a flexible distribution that outperforms alternatives when modelling catch rate data
  28. tinyVAST: R Package With an Expressive Interface to Specify Lagged and Simultaneous Effects in Multivariate Spatio‐Temporal Models
  29. ’surveyjoin’: A Standardized Database of Fisheries Bottom Trawl Surveys in the Northeast Pacific Ocean
  30. Species distribution models estimate time-varying juvenile salmon distributions in the north- and southeastern Bering Sea
  31. Estimating scale-dependent covariate responses using two-dimensional diffusion derived from the SPDE method
  32. The Benefits of Hierarchical Ecosystem Models: Demonstration Using EcoState, a New State‐Space Mass‐Balance Model
  33. Measuring complexity for hierarchical models using effective degrees of freedom
  34. Cross-scale environmental impacts across persistent and dynamic aggregations within a complex population: implications for fisheries management
  35. Coupling state‐of‐the‐art modelling tools for better informed Red List assessments of marine fishes
  36. Dynamic structural equation models synthesize ecosystem dynamics constrained by ecological mechanisms
  37. An ensemble approach to species distribution modelling reconciles systematic differences in estimates of habitat utilization and range area
  38. Simulating benefits, costs and trade‐offs of spatial management in marine social‐ecological systems
  39. Trees for fishes: The neglected role for phylogenetic comparative methods in fisheries science
  40. Assessing small pelagic fish trends in space and time using piscivore stomach contents
  41. phylosem: A fast and simple R package for phylogenetic inference and trait imputation using phylogenetic structural equation models
  42. Marine heatwaves are not a dominant driver of change in demersal fishes
  43. Modelling time-varying growth in state-space stock assessments
  44. Integrating survey and observer data improves the predictions of New Zealand spatio-temporal models
  45. Spatio-temporal species distribution models reveal dynamic indicators for ecosystem-based fisheries management
  46. Spatially varying catchability for integrating research survey data with other data sources: case studies involving observer samples, industry-cooperative surveys, and predators as samplers
  47. Spatially varying coefficients can improve parsimony and descriptive power for species distribution models
  48. Identifying direct and indirect associations among traits by merging phylogenetic comparative methods and structural equation models
  49. Incorporating distribution shifts and spatio-temporal variation when estimating weight-at-age for stock assessments: a case study involving the Bering Sea pollock (Gadus chalcogrammus)
  50. Do large‐scale associations in birds imply biotic interactions or environmental filtering?
  51. The multivariate-Tweedie: a self-weighting likelihood for age and length composition data arising from hierarchical sampling designs
  52. The estimated impact of changes to otolith field-sampling and ageing effort on stock assessment inputs, outputs, and catch advice
  53. Climate‐informed models benefit hindcasting but present challenges when forecasting species–habitat associations
  54. The influence of age and cohort on the distribution of walleye pollock (Gadus chalcogrammus) in the eastern Bering Sea
  55. Shifting fish distributions impact predation intensity in a sub‐Arctic ecosystem
  56. Understanding transboundary stocks’ availability by combining multiple fisheries-independent surveys and oceanographic conditions in spatiotemporal models
  57. sdmTMB: An R Package for Fast, Flexible, and User-Friendly Generalized Linear Mixed Effects Models with Spatial and Spatiotemporal Random Fields
  58. Combining scientific survey and commercial catch data to map fish distribution
  59. Identifying species complexes based on spatial and temporal clustering from joint dynamic species distribution models
  60. A spatial statistical approach for identifying population structuring of marine fish species: European sprat as a case study
  61. Diet analysis using generalized linear models derived from foraging processes using R package mvtweedie
  62. Development and simulation testing for a new approach to density dependence in species distribution models
  63. Estimating fine‐scale movement rates and habitat preferences using multiple data sources
  64. Estimating spatiotemporal availability of transboundary fishes to fishery‐independent surveys
  65. Improving estimates of the state of global fisheries depends on better data
  66. Grand challenge for habitat science: stage-structured responses, nonlocal drivers, and mechanistic associations among habitat variables affecting fishery productivity
  67. Incorporating vertical distribution in index standardization accounts for spatiotemporal availability to acoustic and bottom trawl gear for semi-pelagic species
  68. Implementing two-dimensional autocorrelation in either survival or natural mortality improves a state-space assessment model for Southern New England-Mid Atlantic yellowtail flounder
  69. Range edges of North American marine species are tracking temperature over decades
  70. Predator stomach contents can provide accurate indices of prey biomass
  71. Forecasting community reassembly using climate‐linked spatio‐temporal ecosystem models
  72. Range edges of North American marine species are tracking temperature over decades
  73. The need for spatio-temporal modeling to determine catch-per-unit effort based indices of abundance and associated composition data for inclusion in stock assessment models
  74. Adapting to climate‐driven distribution shifts using model‐based indices and age composition from multiple surveys in the walleye pollock ( Gadus chalcogrammus ) stock assessment
  75. Empirical orthogonal function regression: Linking population biology to spatial varying environmental conditions using climate projections
  76. Seasonal and interannual variation in spatio-temporal models for index standardization and phenology studies
  77. Simulation testing a new multi-stage process to measure the effect of increased sampling effort on effective sample size for age and length data
  78. Spatio‐temporal analyses of marine predator diets from data‐rich and data‐limited systems
  79. Author Correction: Spatial separation of catches in highly mixed fisheries
  80. JABBA-Select: Incorporating life history and fisheries’ selectivity into surplus production models
  81. A novel spatiotemporal stock assessment framework to better address fine‐scale species distributions: Development and simulation testing
  82. Predicting recruitment density dependence and intrinsic growth rate for all fishes worldwide using a data‐integrated life‐history model
  83. Spatio‐temporal models of intermediate complexity for ecosystem assessments: A new tool for spatial fisheries management
  84. Investigating the value of including depth during spatiotemporal index standardization
  85. Realizing the potential of trait‐based approaches to advance fisheries science
  86. Spatio-temporal dynamics of summer flounder (Paralichthys dentatus) on the Northeast US shelf
  87. Measuring the impact of oceanographic indices on species distribution shifts: The spatially varying effect of cold-pool extent in the eastern Bering Sea
  88. A novel approach to assess distribution trends from fisheries survey data
  89. Guidance for decisions using the Vector Autoregressive Spatio-Temporal (VAST) package in stock, ecosystem, habitat and climate assessments
  90. Modeling temporal variation in recruitment in fisheries stock assessment: A review of theory and practice
  91. Forecast skill for predicting distribution shifts: A retrospective experiment for marine fishes in the Eastern Bering Sea
  92. Spatial heterogeneity contributes more to portfolio effects than species variability in bottom-associated marine fishes
  93. Spatial separation of catches in highly mixed fisheries
  94. Inter-annual and secular variability of larvae of mesopelagic and forage fishes in the southern California Current System
  95. Paulik revisited: Statistical framework and estimation performance of multistage recruitment functions
  96. The case for estimating recruitment variation in data-moderate and data-poor age-structured models
  97. Steepness for West Coast rockfishes: Results from a twelve-year experiment in iterative regional meta-analysis
  98. Spatiotemporal index standardization improves the stock assessment of northern shrimp in the Gulf of Maine
  99. Global fishery dynamics are poorly predicted by classical models
  100. The relative influence of temperature and size-structure on fish distribution shifts: A case-study on Walleye pollock in the Bering Sea
  101. Estimating partial regulation in spatiotemporal models of community dynamics
  102. Improving estimates of population status and trend with superensemble models
  103. Comparing estimates of abundance trends and distribution shifts using single- and multispecies models of fishes and biogenic habitat
  104. Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo
  105. Can autocorrelated recruitment be estimated using integrated assessment models and how does it affect population forecasts?
  106. Density-dependent changes in effective area occupied for sea-bottom-associated marine fishes
  107. Relative magnitude of cohort, age, and year effects on size at age of exploited marine fishes
  108. Variation in growth among individuals and over time: A case study and simulation experiment involving tagged Antarctic toothfish
  109. Model-based estimates of effective sample size in stock assessment models using the Dirichlet-multinomial distribution
  110. Hierarchical analysis of taxonomic variation in intraspecific competition across fish species
  111. Techniques for improving estimates of maturity ogives in groundfish using double-reads and measurement error models
  112. Corrigendum: How variable is recruitment for exploited marine fishes? A hierarchical model for testing life history theory
  113. Joint dynamic species distribution models: a tool for community ordination and spatio-temporal monitoring
  114. Model‐based inference for estimating shifts in species distribution, area occupied and centre of gravity
  115. Using spatio-temporal models of population growth and movement to monitor overlap between human impacts and fish populations
  116. Accounting for spatiotemporal variation and fisher targeting when estimating abundance from multispecies fishery data1
  117. Implementing a generic method for bias correction in statistical models using random effects, with spatial and population dynamics examples
  118. Spatial delay-difference models for estimating spatiotemporal variation in juvenile production and population abundance
  119. Catch curve stock-reduction analysis: An alternative solution to the catch equations
  120. Introduction
  121. Evaluating a prior on relative stock status using simplified age-structured models
  122. The potential impact of time-variation in vital rates on fisheries management targets for marine fishes
  123. The importance of spatial models for estimating the strength of density dependence
  124. Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range
  125. Demographic modeling of citizen science data informs habitat preferences and population dynamics of recovering fishes
  126. Spatial semiparametric models improve estimates of species abundance and distribution
  127. Dealing with under- and over-dispersed count data in life history, spatial, and community ecology
  128. A comparison of parametric, semi-parametric, and non-parametric approaches to selectivity in age-structured assessment models
  129. How variable is recruitment for exploited marine fishes? A hierarchical model for testing life history theory
  130. Accounting for vessel effects when standardizing catch rates from cooperative surveys
  131. Validating and Improving Life History Data in FishBase
  132. Complexity is costly: a meta-analysis of parametric and non-parametric methods for short-term population forecasting
  133. A Bayesian approach to identifying and compensating for model misspecification in population models
  134. Modeling structured population dynamics using data from unmarked individuals
  135. A new role for effort dynamics in the theory of harvested populations and data-poor stock assessment
  136. Giants' shoulders 15 years later: lessons, challenges and guidelines in fisheries meta-analysis
  137. Accounting for space–time interactions in index standardization models
  138. Spatial variation buffers temporal fluctuations in early juvenile survival for an endangered Pacific salmon
  139. A comparison of stock assessment uncertainty estimates using maximum likelihood and Bayesian methods implemented with the same model framework
  140. The implications of spatially varying catchability on bottom trawl surveys of fish abundance: a proposed solution involving underwater vehicles
  141. A stepwise-selected spline approximation to time-varying parameters, with application to occupancy modelling
  142. Spawning biomass reference points for exploited marine fishes, incorporating taxonomic and body size information
  143. Linking fishing mortality reference points to life history traits: an empirical study
  144. Multispecies fisheries management and conservation: tactical applications using models of intermediate complexity
  145. Using model-based inference to evaluate global fisheries status from landings, location, and life history data
  146. Evaluating population recovery for sea turtles under nesting beach protection while accounting for nesting behaviours and changes in availability
  147. Development and application of an agent-based model to evaluate methods for estimating relative abundance indices for shoaling fish such as Pacific rockfish (Sebastes spp.)
  148. Accounting for fish shoals in single- and multi-species survey data using mixture distribution models
  149. Better Catch Curves: Incorporating Age-Specific Natural Mortality and Logistic Selectivity
  150. Multispecies estimation of Bayesian priors for catchability trends and density dependence in the US Gulf of Mexico
  151. Evaluating single- and multi-species procedures to estimate time-varying catchability functional parameters
  152. Competing Interests, Economics, and Marine Fisheries Management: An Educational Case Study
  153. Incorporating Time-Varying Catchability into Population Dynamic Stock Assessment Models
  154. Gear selectivity and sample size effects on growth curve selection in shark age and growth studies