Quantitative Fish DynamicsOxford University Press, 25 mar 1999 - 560 páginas This book serves as an advanced text on fisheries and fishery population dynamics and as a reference for fisheries scientists. It provides a thorough treatment of contemporary topics in quantitative fisheries science and emphasizes the link between biology and theory by explaining the assumptions inherent in the quantitative methods. The analytical methods are accessible to a wide range of biologists, and the book includes numerous examples. The book is unique in covering such advanced topics as optimal harvesting, migratory stocks, age-structured models, and size models. |
Índice
| 1 | |
2 Stock Productivity and Surplus Production | 50 |
3 Stock and Recruitment | 86 |
4 Growth and Fecundity | 128 |
5 DelayDifference Models | 208 |
PerRecruit and YearClass Models | 239 |
Renewal Theory | 268 |
8 Catchage and Agestructured Assessment Methods | 295 |
9 Sizestructured Models and Assessment Methods | 363 |
10 Migration Movement and Other Spatiotemporal Considerations | 398 |
11 Optimal Harvesting | 437 |
| 486 | |
| 517 | |
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abundance age-structured approach assumed assumption asymptotic average B₁ Beverton-Holt biomass calculated catch catch-age analysis catchability chapter cohort analysis constant corresponding CPUE critical depensation data sets delay-difference model density dependent variable Deriso derived differential equation distribution dynamics egg production equilibrium yield error structure example expected value exploitation fraction exploitation rate fecundity figure fishery fishing effort fishing mortality given Graham-Schaefer growth model growth parameters Hilborn Leslie matrix likelihood linear linear regression LVB model mark-recapture maximum maximum sustainable yield measurement error method N₁ natural mortality nonlinear regression normal distribution obtained occurs optimal Pacific halibut parameter estimates parameterization proportional Quinn rainbow trout random region regression Ricker Ricker model sablefish sample Schnute Seber semelparous shown solution spawner-recruit model spawners spawning biomass species statistics stochastic sum of squares surplus production survival term variance variation vector walleye pollock weight Y₁ year-class yield per recruit