All Stories

  1. Spatially varying coefficients can improve parsimony and descriptive power for species distribution models
  2. Identifying direct and indirect associations among traits by merging phylogenetic comparative methods and structural equation models
  3. 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)
  4. Do large‐scale associations in birds imply biotic interactions or environmental filtering?
  5. The multivariate-Tweedie: a self-weighting likelihood for age and length composition data arising from hierarchical sampling designs
  6. The estimated impact of changes to otolith field-sampling and ageing effort on stock assessment inputs, outputs, and catch advice
  7. Climate‐informed models benefit hindcasting but present challenges when forecasting species–habitat associations
  8. The influence of age and cohort on the distribution of walleye pollock (Gadus chalcogrammus) in the eastern Bering Sea
  9. Shifting fish distributions impact predation intensity in a sub‐Arctic ecosystem
  10. Understanding transboundary stocks’ availability by combining multiple fisheries-independent surveys and oceanographic conditions in spatiotemporal models
  11. Combining scientific survey and commercial catch data to map fish distribution
  12. Identifying species complexes based on spatial and temporal clustering from joint dynamic species distribution models
  13. A spatial statistical approach for identifying population structuring of marine fish species: European sprat as a case study
  14. Diet analysis using generalized linear models derived from foraging processes using R package mvtweedie
  15. Development and simulation testing for a new approach to density dependence in species distribution models
  16. Estimating fine‐scale movement rates and habitat preferences using multiple data sources
  17. Estimating spatiotemporal availability of transboundary fishes to fishery‐independent surveys
  18. Improving estimates of the state of global fisheries depends on better data
  19. Grand challenge for habitat science: stage-structured responses, nonlocal drivers, and mechanistic associations among habitat variables affecting fishery productivity
  20. Incorporating vertical distribution in index standardization accounts for spatiotemporal availability to acoustic and bottom trawl gear for semi-pelagic species
  21. Implementing two-dimensional autocorrelation in either survival or natural mortality improves a state-space assessment model for Southern New England-Mid Atlantic yellowtail flounder
  22. Range edges of North American marine species are tracking temperature over decades
  23. Predator stomach contents can provide accurate indices of prey biomass
  24. Forecasting community reassembly using climate‐linked spatio‐temporal ecosystem models
  25. 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
  26. Adapting to climate‐driven distribution shifts using model‐based indices and age composition from multiple surveys in the walleye pollock ( Gadus chalcogrammus ) stock assessment
  27. Empirical orthogonal function regression: Linking population biology to spatial varying environmental conditions using climate projections
  28. Seasonal and interannual variation in spatio-temporal models for index standardization and phenology studies
  29. Simulation testing a new multi-stage process to measure the effect of increased sampling effort on effective sample size for age and length data
  30. Spatio‐temporal analyses of marine predator diets from data‐rich and data‐limited systems
  31. Author Correction: Spatial separation of catches in highly mixed fisheries
  32. JABBA-Select: Incorporating life history and fisheries’ selectivity into surplus production models
  33. A novel spatiotemporal stock assessment framework to better address fine‐scale species distributions: Development and simulation testing
  34. Predicting recruitment density dependence and intrinsic growth rate for all fishes worldwide using a data‐integrated life‐history model
  35. Spatio‐temporal models of intermediate complexity for ecosystem assessments: A new tool for spatial fisheries management
  36. Investigating the value of including depth during spatiotemporal index standardization
  37. Realizing the potential of trait‐based approaches to advance fisheries science
  38. Spatio-temporal dynamics of summer flounder (Paralichthys dentatus) on the Northeast US shelf
  39. Measuring the impact of oceanographic indices on species distribution shifts: The spatially varying effect of cold-pool extent in the eastern Bering Sea
  40. A novel approach to assess distribution trends from fisheries survey data
  41. Guidance for decisions using the Vector Autoregressive Spatio-Temporal (VAST) package in stock, ecosystem, habitat and climate assessments
  42. Modeling temporal variation in recruitment in fisheries stock assessment: A review of theory and practice
  43. Forecast skill for predicting distribution shifts: A retrospective experiment for marine fishes in the Eastern Bering Sea
  44. Spatial heterogeneity contributes more to portfolio effects than species variability in bottom-associated marine fishes
  45. Spatial separation of catches in highly mixed fisheries
  46. Inter-annual and secular variability of larvae of mesopelagic and forage fishes in the southern California Current System
  47. Paulik revisited: Statistical framework and estimation performance of multistage recruitment functions
  48. The case for estimating recruitment variation in data-moderate and data-poor age-structured models
  49. Steepness for West Coast rockfishes: Results from a twelve-year experiment in iterative regional meta-analysis
  50. Spatiotemporal index standardization improves the stock assessment of northern shrimp in the Gulf of Maine
  51. Global fishery dynamics are poorly predicted by classical models
  52. The relative influence of temperature and size-structure on fish distribution shifts: A case-study on Walleye pollock in the Bering Sea
  53. Estimating partial regulation in spatiotemporal models of community dynamics
  54. Improving estimates of population status and trend with superensemble models
  55. Comparing estimates of abundance trends and distribution shifts using single- and multispecies models of fishes and biogenic habitat
  56. Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo
  57. Can autocorrelated recruitment be estimated using integrated assessment models and how does it affect population forecasts?
  58. Density-dependent changes in effective area occupied for sea-bottom-associated marine fishes
  59. Relative magnitude of cohort, age, and year effects on size at age of exploited marine fishes
  60. Variation in growth among individuals and over time: A case study and simulation experiment involving tagged Antarctic toothfish
  61. Model-based estimates of effective sample size in stock assessment models using the Dirichlet-multinomial distribution
  62. Hierarchical analysis of taxonomic variation in intraspecific competition across fish species
  63. Techniques for improving estimates of maturity ogives in groundfish using double-reads and measurement error models
  64. Corrigendum: How variable is recruitment for exploited marine fishes? A hierarchical model for testing life history theory
  65. Joint dynamic species distribution models: a tool for community ordination and spatio-temporal monitoring
  66. Model‐based inference for estimating shifts in species distribution, area occupied and centre of gravity
  67. Using spatio-temporal models of population growth and movement to monitor overlap between human impacts and fish populations
  68. Accounting for spatiotemporal variation and fisher targeting when estimating abundance from multispecies fishery data1
  69. Implementing a generic method for bias correction in statistical models using random effects, with spatial and population dynamics examples
  70. Spatial delay-difference models for estimating spatiotemporal variation in juvenile production and population abundance
  71. Catch curve stock-reduction analysis: An alternative solution to the catch equations
  72. Introduction
  73. Evaluating a prior on relative stock status using simplified age-structured models
  74. The potential impact of time-variation in vital rates on fisheries management targets for marine fishes
  75. The importance of spatial models for estimating the strength of density dependence
  76. Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range
  77. Demographic modeling of citizen science data informs habitat preferences and population dynamics of recovering fishes
  78. Spatial semiparametric models improve estimates of species abundance and distribution
  79. Dealing with under- and over-dispersed count data in life history, spatial, and community ecology
  80. A comparison of parametric, semi-parametric, and non-parametric approaches to selectivity in age-structured assessment models
  81. How variable is recruitment for exploited marine fishes? A hierarchical model for testing life history theory
  82. Accounting for vessel effects when standardizing catch rates from cooperative surveys
  83. Validating and Improving Life History Data in FishBase
  84. Complexity is costly: a meta-analysis of parametric and non-parametric methods for short-term population forecasting
  85. A Bayesian approach to identifying and compensating for model misspecification in population models
  86. Modeling structured population dynamics using data from unmarked individuals
  87. A new role for effort dynamics in the theory of harvested populations and data-poor stock assessment
  88. Giants' shoulders 15 years later: lessons, challenges and guidelines in fisheries meta-analysis
  89. Accounting for space–time interactions in index standardization models
  90. Spatial variation buffers temporal fluctuations in early juvenile survival for an endangered Pacific salmon
  91. A comparison of stock assessment uncertainty estimates using maximum likelihood and Bayesian methods implemented with the same model framework
  92. The implications of spatially varying catchability on bottom trawl surveys of fish abundance: a proposed solution involving underwater vehicles
  93. A stepwise-selected spline approximation to time-varying parameters, with application to occupancy modelling
  94. Spawning biomass reference points for exploited marine fishes, incorporating taxonomic and body size information
  95. Linking fishing mortality reference points to life history traits: an empirical study
  96. Multispecies fisheries management and conservation: tactical applications using models of intermediate complexity
  97. Using model-based inference to evaluate global fisheries status from landings, location, and life history data
  98. Evaluating population recovery for sea turtles under nesting beach protection while accounting for nesting behaviours and changes in availability
  99. 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.)
  100. Accounting for fish shoals in single- and multi-species survey data using mixture distribution models
  101. Better Catch Curves: Incorporating Age-Specific Natural Mortality and Logistic Selectivity
  102. Multispecies estimation of Bayesian priors for catchability trends and density dependence in the US Gulf of Mexico
  103. Evaluating single- and multi-species procedures to estimate time-varying catchability functional parameters
  104. Competing Interests, Economics, and Marine Fisheries Management: An Educational Case Study
  105. Incorporating Time-Varying Catchability into Population Dynamic Stock Assessment Models
  106. Gear selectivity and sample size effects on growth curve selection in shark age and growth studies