GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Type of Medium: Book
    Pages: 52 S , graph. Darst., Tab
    Series Statement: Scientific report / International Pacific Halibut Commission 72
    Language: English
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Type of Medium: Book
    Pages: 56 S , Ill., graph. Darst., Kt., Tab
    Series Statement: Scientific report / International Pacific Halibut Commission 68
    Language: English
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Type of Medium: Book
    Pages: 37 S , graph. Darst., Kt
    Series Statement: Scientific report / International Pacific Halibut Commission 69
    Language: English
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    Book
    Book
    New York : Oxford University Press
    Keywords: Fish populations Mathematical models ; Fish populations Mathematical models ; Fische ; Populationsdynamik ; Mathematisches Modell
    Type of Medium: Book
    Pages: XV, 542 S. , graph. Darst. , 25 cm
    ISBN: 0195076311
    Series Statement: Biological resource management series
    DDC: 597.17/88/011
    Language: English
    Note: Includes bibliographical references (p. 486 - 516) and index
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    Online Resource
    Online Resource
    Cary :Oxford University Press, Incorporated,
    Keywords: Fish populations -- Mathematical models. ; Fishes. ; Electronic books.
    Description / Table of Contents: 1. Population Growth, Mortality, and the Fishing Process 2. Stock Productivity and Surplus Production 3. Stock and Recruitment 4. Growth and Fecundity 5. Delay-Difference Models 6. Age-structured Models: Per-Recruit and Year-Class Models 7. Age-structured Models: Renewal Theory 8. Catch-age and Age-structured Assessment Methods 9. Size-structured Models and Assessment Methods 10. Migration, Movement, and Other Spatiotemporal Considerations 11. Optimal Harvesting.
    Type of Medium: Online Resource
    Pages: 1 online resource (561 pages)
    Edition: 1st ed.
    ISBN: 9780195360400
    Series Statement: Biological Resource Management Series
    DDC: 597.17/88/011
    Language: English
    Note: Intro -- Contents -- 1. Population Growth, Mortality, and the Fishing Process -- 1.1 Simple Population Growth Models -- 1.1.1. The Geometric and Exponential Growth Laws -- 1.1.2. The Logistic Model -- 1.1.3. Time-Varying Parameters -- 1.1.4. Multispecies Extensions -- 1.2 Theory of Mortality -- 1.2.1. Deterministic Theory of Fishing -- 1.2.2. Stochastic Theory of Fishing -- 1.3. Catch-per-unit-effort and the Fishing Process -- 1.3.1. Regional Considerations -- 1.3.2. Standardization and Gear Selectivity -- 1.3.3. Sampling for Catch and Effort -- 1.3.4. More Complex Models -- 1.3.5. Schooling and Search -- 1.3.6. Effects of Catchability Differing Between Individuals -- 1.3.7. Stochastic Fishing Models -- 2. Stock Productivity and Surplus Production -- 2.1. Theory of Stock Productivity -- 2.1.1. Graham-Schaefer Model -- 2.1.2. Pella-Tomlinson Model -- 2.1.3. Gompertz-Fox Model -- 2.1.4. Fletcher Quadratic Model -- 2.1.5. Threshold Models -- 2.1.6. Models with Environmental Variables -- 2.2. Parameter Estimation -- 2.2.1. Annual Surplus Production -- 2.2.2. Surplus Production-Biomass Relationship -- 2.2.3. Recruitment Adjustment -- 2.2.4. Surplus Production-Fishing Effort Relationship -- 2.2.5. Equilibrium Approximation -- 2.2.6. Schnute's Nonequilibrium Method -- 2.2.7. Difference Equations for Surplus Production -- 2.2.8. Prager's Nonequilibrium Method -- 2.2.9. Example -- 2.3. Relation of Surplus Production to Recruitment, Growth, and Natural Mortality -- 3. Stock and Recruitment -- 3.1. Spawner-Recruit Models -- 3.1.1. Beverton-Holt -- 3.1.2. Ricker -- 3.1.3. Cushing -- 3.1.4. Deriso-Schnute -- 3.1.5. Shepherd -- 3.1.6. Gamma -- 3.1.7. Miscellany -- 3.2. Parameter Estimation -- 3.2.1. Linear Regression Approach -- 3.2.2. Nonlinear Regression Approach -- 3.2.3. Measurement Error Approach -- 3.2.4. Autocorrelated Errors. , 3.3. Dynamics for Semelparous Populations -- 3.4. Bayesian Considerations -- 4. Growth and Fecundity -- 4.1. Weight-Length Models -- 4.2. LVB Growth Model -- 4.2.1. Length-Age -- 4.2.2. Difference Equation for Weight-Age -- 4.2.3. Combining Weight-Length and Length-Age Models -- 4.3. Size-Age Models -- 4.3.1. Allometric Model -- 4.3.2. Ad hoc Models -- 4.3.3. Gompertz Growth Model -- 4.3.4. Verhulst and Richards Growth Models -- 4.3.5. Schnute Growth Model -- 4.3.6. Schnute-Richards Growth Model -- 4.4. Mark-Recapture Data -- 4.4.1. Elapsed Time Models -- 4.4.2. Models with Aging Data -- 4.5. Comparison of Growth Models -- 4.5.1. Choosing the Best Model -- 4.5.2. Comparing Different Data Sets -- 4.6. Scale and Otolith Measurements -- 4.7. Variation in Growth -- 4.7.1. Seasonal Growth -- 4.7.2. Individual Variation in Growth -- 4.7.3. Stochastic Growth -- 4.7.4. Comparison -- 4.8. Fecundity and Maturity -- 4.8.1. Maturity -- 4.8.2. Fecundity -- 4.8.3. Population Statistics and the Egg Production Method -- 5. Delay-Difference Models -- 5.1. Allen-Clark Abundance Models -- 5.2. Deriso-Schnute Biomass Models -- 5.2.1. Deriso's Model -- 5.2.2. Schnute's Extension -- 5.2.3. Moments of the Weight Distribution of Adults -- 5.3. Alternative Models and Representations -- 5.3.1. Use of a Net Growth Parameter -- 5.3.2. Horbowy's Approach -- 5.3.3. Some Generalizations -- 5.3.4. Mortality Models -- 5.3.5. Stock Reduction Analysis -- 5.4. Parameter Estimation -- 5.4.1. Measurement Error Model -- 5.4.2. Process Error Model -- 5.4.3. Combined Measurement and Process Error Model -- 5.4.4. Kalman Filters -- 6. Age-structured Models: Per-Recruit and Year-Class Models -- 6.1. Beverton-Holt Models -- 6.1.1. LVB Isometric Weight-Age Model -- 6.1.2. LVB Allometric Weight-Age Model -- 6.1.3. Brody-LVB Weight-Age Model -- 6.2. Stochastic Model with Recruitment by Size Group. , 6.3. Generic Per-Recruit Models -- 6.4. Spawning Stock and Egg Production per Recruit -- 6.4.1. Beverton-Holt Approach -- 6.4.2. Generic Approach -- 6.4.3. Effects of Harvesting -- 6.5. Model Variations -- 6.5.1. Discard Mortality -- 6.5.2. Trophy Fish and Slot Limits -- 6.5.3. Per-Recruit Models by Sex -- 6.5.4. Per-Recruit Models by Multispecies and Multiple Fisheries -- 7. Age-structured Models: Renewal Theory -- 7.1. Leslie Matrix Discrete Model -- 7.2. Time-varying Linear Matrix Models -- 7.3. Stochastic Linear Matrix Models -- 7.4. Nonlinear Discrete Leslie-type Models -- 7.5. Forecasting -- 7.6. Continuous Linear Models -- 8. Catch-age and Age-structured Assessment Methods -- 8.1. Estimation of Age Composition -- 8.1.1. Length Frequency Analysis -- 8.1.2. Simple Random Sampling -- 8.1.3. Estimating the Catch -- 8.1.4. Two-Stage Random Sampling -- 8.1.5. Sample Size Considerations -- 8.1.6. Separate Length and Age Samples and Other Approaches -- 8.2. Estimation of Abundance and Population Parameters -- 8.2.1. General Catch-Age Relationship -- 8.2.2. Catch Curve Analysis -- 8.2.3. Virtual Population Analysis and Cohort Analysis -- 8.2.4. Relative Abundance Analysis -- 8.2.5. Catch-Age Analysis with Auxiliary Information -- 8.2.6. Stratified Catch-Age Analysis -- 8.2.7. Miscellaneous Alternative Approaches -- 8.2.8. Computer Programs -- 8.3. Estimation of Natural Mortality -- 8.3.1. Catch Curve Analysis -- 8.3.2. LFA and Related Analyses -- 8.3.3. Mark-recapture Experiments -- 8.3.4. Collection of Dead Organisms -- 8.3.5. Use of Population Models -- Multispecies VPA -- 8.3.6. Life-History or Meta-analysis -- 9. Size-structured Models and Assessment Methods -- 9.1. Basic Models -- 9.1.1. Beverton-Holt Approach -- 9.1.2. Basic Size-based Models -- 9.2. Stage-structured Matrix Models -- 9.3. Stochastic Models -- 9.4. Length-based Assessment Methods. , 9.4.1. Length Cohort Analysis -- 9.4.2. Catch-Length Analysis and Length-Based Stock Synthesis Analysis -- 10. Migration, Movement, and Other Spatiotemporal Considerations -- 10.1. Population Models -- 10.1.1. Deterministic Model, Non-Age-structured Populations -- 10.1.2. Stochastic Model, Non-Age-structured Populations -- 10.1.3. Age-structured Populations -- 10.2. Estimation of Migration -- 10.2.1. Darroch's Method and Extensions -- 10.2.2. Hilborn's Method and Extensions -- 10.2.3. Miscellaneous Methods -- 10.3. Migratory Cohort and Catch-Age Analyses -- 10.3.1. Migratory Cohort Analysis -- 10.3.2. Migratory Catch-Age Analysis -- 10.4. Run Reconstruction -- 10.5. Geographic Apportionment -- 10.6. Migratory Per-Recruit Analyses -- 11. Optimal Harvesting -- 11.1. Harvest Policies and Equilibrium Concepts -- 11.2. Goals, Objectives, and Constraints -- 11.2.1. Stochasticity -- 11.2.2. Bioeconomic Objectives -- 11.3. Optimization Methods -- 11.3.1. Biological Models -- 11.3.2. Fixed-Parameter Harvest Control -- 11.3.3. Time-varying Harvest Control -- 11.4. Biological Reference Points -- 11.4.1. Yield-Effort Parameters F[sub(m)] and F[sub(ey)] -- 11.4.2. Natural Mortality Parameter M -- 11.4.3. Yield-per-Recruit Parameter F[sub(max)] -- 11.4.4. Relationships among F[sub(m)], F[sub(max)], and F[sub(p)] -- 11.4.5. Yield-per-Recruit Parameter F[sub(0.1)] -- 11.4.6. Spawning Population per Recruit Parameters F[sub(x%)] -- 11.4.7. Spawning Population Parameters F[sub(rep,)] F[sub(med,)] F[sub(low,)] F[sub(high)] -- 11.4.8. Age-structured Population Parameter F[sub(st)] -- 11.4.9. Threshold Reference Points -- 11.5. Risk, Uncertainty, and Decision Analysis -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y.
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    In: The Pacific halibut resource and fishery in regulatory Area 2, Seattle, Wash. : IPHC, 1983, (1983), 2
    In: year:1983
    In: number:2
    Type of Medium: Article
    Language: Undetermined
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Marine mammal science 19 (2003), S. 0 
    ISSN: 1748-7692
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: We used simulation to investigate robust designs and analyses for detecting trends from population surveys of Alaska harbor seals. We employed an operating model approach, creating simulated harbor seal population dynamics and haul-out behavior that incorporated factors thought to potentially affect the performance of aerial surveys. The factors included the number of years, the number of haul-out sites in an area, the number and timing of surveys within a year, known and unknown covariates affecting haul-out behavior, substrate effects, movement among substrates, and variability in survey and population parameters. We found estimates of population trend were robust to the majority of potentially confounding factors, and that adjusting counts for the effects of covariates was both possible and beneficial. The use of mean or maximum counts by site without covariate correction can lead to substantial bias and low power in trend determination. For covariate-corrected trend estimates, there was minimal bias and loss of accuracy was negligible when surveys were conducted 20 d before or after peak haul-out attendance, survey date became progressively earlier across years, and peak attendance fluctuated across years. Trend estimates were severely biased when the effect of an unknown covariate resulted in a long-term trend in the fraction of the population hauled out. A key factor governing the robustness and power of harbor seal population surveys is intersite variability in trend. This factor is well understood for sites within the Prince William Sound and Kodiak trend routes for which at least 10 consecutive annual surveys have been conducted, but additional annual counts are needed for other areas. The operating model approach proved to be an effective means of evaluating these surveys and should be used to evaluate other marine mammal survey designs.
    Type of Medium: Electronic Resource
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...