## Wildlife Demography: Analysis of Sex, Age, and Count DataWildlife Demography compiles the multitude of available estimation techniques based on sex and age data, and presents these varying techniques in one organized, unified volume. Designed to guide researchers to the most appropriate estimator based upon their particular data set and the desired level of study precision, this book provides quantitative consideration, statistical models, estimator variance, assumptions and examples of use.The authors focus on estimation techniques using sex and age ratios because this data is relatively easy to collect and commonly used by wildlife management * Applicable to a wide array of wildlife species, including game and non-game birds and mammals * Features more than 100 annotated examples illustrating application of statistical methods * Includes more than 640 references of the analysis of nontagging data and the factors that may influence interpretation * Derives historical and ad hoc demographic methods in a modern statistical framework |

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### Contents

1 | |

11 | |

49 | |

4 Estimating Productivity | 89 |

5 Estimating Survival | 129 |

6 Estimating Harvest and Harvest Mortality | 229 |

7 Estimating the Rate of Population Change | 289 |

8 Analysis of Population Indices | 359 |

10 Integration of Analytical Techniques | 541 |

Statistical Concepts and Theory | 565 |

Glossary of Symbols | 575 |

Program USER | 579 |

Mathematica Code for Calculating the Variance of the Finite Rate of Population Change Varλ from a Matrix Population Model | 591 |

599 | |

629 | |

9 Estimating Population Abundance | 435 |

### Other editions - View all

Wildlife Demography: Analysis of Sex, Age, and Count Data J. R. Skalski,Kristen Elaine Ryding,Joshua J. Millspaugh No preview available - 2005 |

### Common terms and phrases

ˆ ˆ ˆ ˆ ˆˆ abundance estimates adult female adult survival age classes age-at-harvest age-specific survival Allee effect analysis annual survival assumed assumptions calculated cohort constant counts curve delta method demographic density detection probabilities Discussion of Utility distribution Eberhardt สห ˆ สหˆ equation esti estimated variance estimator Eq example expected value exponential expressed fecundity function harvest mortality harvest numbers hunters hunting joint likelihood juvenile survival Leslie matrix life-table likelihood model lMAX logistic logistic growth males and females nest number of animals number of females number of juveniles observed parameters population abundance probability of detection productivity r-selected random random variables rate of change regression RF/M ring-necked pheasants sampling second survey sex ratio species stable and stationary standard error survival estimates survival probabilities survival rate survivorship curve techniques transect Varˆ white-tailed deer wildlife

### Popular passages

Page 620 - ROBSON, DS, AND HA REGIER. 1968. Estimation of population number and mortality rates.

Page 44 - potential biological removal level" means the maximum number of animals, not including natural mortalities, that may be removed from a marine mammal stock while allowing that stock to reach or maintain its optimum sustainable population. The potential biological removal level is the product of the following factors: (A) The minimum population estimate of the stock.

Page 619 - In Sampling biological populations (RM Cormack, GP Patil, and DS Robson, eds.), pages 155-181.

Page 612 - Libosvarsky. 1965. Effects of size selectivity on population estimates based on successive removals with electrical fishing gear.

Page 610 - Hall, TJ 1986. Electrofishing catch per hour as an indicator of largemouth bass density in Ohio impoundments. North American Journal of Fisheries Management 6:397^00.

Page 607 - Floyd, TJ, LD Mech, and ME Nelson. 1979. An improved method of censusing deer in deciduous-coniferous forests.

Page 610 - Henny, CJ, WS Overton, and HM Wight. 1970. Determining parameters for populations by using structural models.

Page 619 - Pollock, KH 1981. Capture-recapture models: a review of current methods, assumptions and experimental design.

Page 623 - JC Holzwart, and DH Rusch. 1991. Predation and hunting mortality of ruffed grouse in central Wisconsin. Journal of Wildlife Management.

### References to this book

Conservation and Sustainable Use: A Handbook of Techniques E.J. Milner-Gulland,J. Marcus Rowcliffe No preview available - 2007 |