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- Larger Work: This publication is Chapter 3 of Ecology and conservation of North American sea ducks
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Abstract
In this chapter, I explore population dynamics of sea ducks by developing population models. In determining which life history characteristics had the greatest influence on future population dynamics, adult female survival consistently had the highest sensitivity and elasticity and this result was robust across a wide range of life history parameter values. Conversely, retrospective models consistently found that the majority of annual variation in lambda was associate with variation in productivity. Stochastic models that are base on process variation and incorporate correlations among life history parameters are the most useful for visualizing the probability of achieving a desired management outcome. Effective management targets both the mean and the variance parameters and takes advantage of correlations among life history parameters. Example models demonstrate that sea duck species can achieve equal fitness using a variety of survival and productivity combinations. Sea duck populations will tend to have long time largest in terms of responding to management actions. Understanding the role of density-dependent population regulation is critical for effective sea duck management and conservation.
| Publication type | Book chapter |
|---|---|
| Publication Subtype | Book Chapter |
| Title | Population dynamics of sea ducks: using models to understand the causes, consequences, evolution, and management of variation in life history characteristics |
| Chapter | 3 |
| ISBN | 978-1-4822-4897-5 |
| Volume | 46 |
| Year Published | 2015 |
| Language | English |
| Publisher | CRC Press |
| Publisher location | Boca Raton, FL |
| Contributing office(s) | Alaska Science Center Biology WTEB |
| Description | 34 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Monograph |
| Larger Work Title | Ecology and conservation of North American sea ducks: Studies in Avian Biology v. 46 |
| First page | 63 |
| Last page | 96 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |