thumbnail

The use of resighting data to estimate the rate of population growth of the snail kite in Florida

EURING 2000 Conference, Point Reyes, California, October 1-7. PDF on file: 5830_Dreitz.pdf
By:
, , , , ,

Links

  • The Publications Warehouse does not have links to digital versions of this publication at this time

Abstract

The rate of population growth (lambda) is an important demographic parameter used to assess the viability of a population and to develop management and conservation agendas. We examined the use of resighting data to estimate lambda for the snail kite population in Florida from 1997-2000. The analyses consisted of (1) a robust design approach that derives an estimate of lambda from estimates of population size and (2) the Pradel (1996) temporal symmetry (TSM) approach that directly estimates lambda using an open-population capture-recapture model. Besides resighting data, both approaches required information on the number of unmarked individuals that were sighted during the sampling periods. The point estimates of lambda differed between the robust design and TSM approaches, but the 95% confidence intervals overlapped substantially. We believe the differences may be the result of sparse data and do not indicate the inappropriateness of either modelling technique. We focused on the results of the robust design because this approach provided estimates for all study years. Variation among these estimates was smaller than levels of variation among ad hoc estimates based on previously reported index statistics. We recommend that lambda of snail kites be estimated using capture-resighting methods rather than ad hoc counts.

Additional Publication Details

Publication type:
Book chapter
Publication Subtype:
Book Chapter
Title:
The use of resighting data to estimate the rate of population growth of the snail kite in Florida
Year Published:
2002
Language:
English
Contributing office(s):
Patuxent Wildlife Research Center
Description:
669
Larger Work Type:
Book
Larger Work Subtype:
Other Government Series
First page:
609
Last page:
623
Number of Pages:
669