Approaches for the direct estimation of lambda, and demographic contributions to lambda, using capture-recapture data
We first consider the estimation of the finite rate of population increase or population growth rate, u i , using capture-recapture data from open populations. We review estimation and modelling of u i under three main approaches to modelling openpopulation data: the classic approach of Jolly (1965) and Seber (1965), the superpopulation approach of Crosbie & Manly (1985) and Schwarz & Arnason (1996), and the temporal symmetry approach of Pradel (1996). Next, we consider the contributions of different demographic components to u i using a probabilistic approach based on the composition of the population at time i + 1 (Nichols et al., 2000b). The parameters of interest are identical to the seniority parameters, n i , of Pradel (1996). We review estimation of n i under the classic, superpopulation, and temporal symmetry approaches. We then compare these direct estimation approaches for u i and n i with analogues computed using projection matrix asymptotics. We also discuss various extensions of the estimation approaches to multistate applications and to joint likelihoods involving multiple data types.
Citation Information
| Publication Year | 2002 |
|---|---|
| Title | Approaches for the direct estimation of lambda, and demographic contributions to lambda, using capture-recapture data |
| DOI | 10.1080/02664760120108809 |
| Authors | James D. Nichols, James E. Hines |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Journal of Applied Statistics |
| Index ID | 70024904 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | Patuxent Wildlife Research Center |