Incorporating diverse data and realistic complexity into demographic estimation procedures for sea otters

Ecological Applications
By: , and 



Reliable information on historical and current population dynamics is central to understanding patterns of growth and decline in animal populations. We developed a maximum likelihood-based analysis to estimate spatial and temporal trends in age/sex-specific survival rates for the threatened southern sea otter (Enhydra lutris nereis), using annual population censuses and the age structure of salvaged carcass collections. We evaluated a wide range of possible spatial and temporal effects and used model averaging to incorporate model uncertainty into the resulting estimates of key vital rates and their variances. We compared these results to current demographic parameters estimated in a telemetry-based study conducted between 2001 and 2004. These results show that survival has decreased substantially from the early 1990s to the present and is generally lowest in the north-central portion of the population's range. The greatest temporal decrease in survival was for adult females, and variation in the survival of this age/sex class is primarily responsible for regulating population growth and driving population trends. Our results can be used to focus future research on southern sea otters by highlighting the life history stages and mortality factors most relevant to conservation. More broadly, we have illustrated how the powerful and relatively straightforward tools of information-theoretic-based model fitting can be used to sort through and parameterize quite complex demographic modeling frameworks. ?? 2006 by the Ecological Society of America.

Publication type Article
Publication Subtype Journal Article
Title Incorporating diverse data and realistic complexity into demographic estimation procedures for sea otters
Series title Ecological Applications
DOI 10.1890/1051-0761(2006)016[2293:IDDARC]2.0.CO;2
Volume 16
Issue 6
Year Published 2006
Language English
Contributing office(s) Alaska Science Center
Description 20 p.
Larger Work Type Article
Larger Work Subtype Journal Article
Larger Work Title Ecological Applications
First page 2293
Last page 2312
Online Only (Y/N) N
Additional Online Files (Y/N) N
Google Analytic Metrics Metrics page
Additional publication details