Quantitative Fish DynamicsOxford University Press, 1999 - 542 páginas The fields of fish population dynamics and stock assessment have seen major advances in the 1980s and 1990s, creating the need for a new synthesis. This text attempts that synthesis by presenting a contemporary approach for quantitative fisheries science that incorporates modern statistical and mathematical techniques. It emphasizes the link between biology and theory by explaining the assumptions inherent in the quantitative methods and models. The book covers key topics that are often overlooked in other texts, such as optimal harvesting, migratory stocks, and complex age and size-structured models. Quantitative Fish Dynamics is an ideal textbook for graduate and undergraduate courses in fish population dynamics and stock assessment. It is an indispensable reference work for fisheries scientists and others interested in conservation biology, fish and wildlife management, population ecology, and statistical applications. |
Índice
1 Population Growth Mortality and the Fishing Process | 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