Temporal sampling frame selection in DNA-based capture–mark–recapture investigations

Capture–mark–recapture (CMR) population parameter estimation utilizing DNA analysis from remotely-collected hair samples to identify individuals and generate encounter histories has become the standard methodology for estimating abundance of American black (Ursus americanus) and grizzly bear (U. arc...

Full description

Saved in:
Bibliographic Details
Published inUrsus (International Association for Bear Research and Management) Vol. 23; no. 1; pp. 42 - 51
Main Authors Wegan, Michael T, Curtis, Paul D, Rainbolt, Raymond E, Gardner, Beth
Format Journal Article
LanguageEnglish
Published Association for Bear Research and Management 01.05.2012
International Association for Bear Research and Management
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Capture–mark–recapture (CMR) population parameter estimation utilizing DNA analysis from remotely-collected hair samples to identify individuals and generate encounter histories has become the standard methodology for estimating abundance of American black (Ursus americanus) and grizzly bear (U. arctos) populations. However, few published studies have examined the time frame for efficiently collecting high-quality hair samples. Our objectives were to examine several measures of hair trapping success and sample quality, such as DNA amplification rates and the mean number of black bear hair samples collected per trap visit, from hair-snare samples collected in 2 non-overlapping, multi-interval sampling frames conducted during 2005 and 2006 at Fort Drum Military Installation in northern New York. Through our data analyses and a review of 12 other bear CMR studies using remote hair sampling, we emphasize that temporal sampling frame is a crucial consideration in study design. To avoid biased population estimates and to use financial, personnel, and temporal resources effectively, hair sampling should be conducted during late spring and early summer.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1537-6176
1938-5439
DOI:10.2192/URSUS-D-11-00013.1