2022
DOI: 10.3996/jfwm-21-037
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of Two Detection Methods for a Declining Rodent, the Allegheny Woodrat, in Virginia

Abstract: Allegheny woodrats Neotoma magister are an imperiled small mammal species most associated with emergent rock habitats in the central Appalachian Mountains and the Ohio River Valley. The monitoring of populations and their spatio-temporal distributions typically has relied on labor-intensive live-trapping. The use of remote-detecting cameras holds promise for being an equally or more effective method to determine species presence, although trap-based captures permit the estimation of other parameters (e.g., sur… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 54 publications
(59 reference statements)
0
1
0
Order By: Relevance
“…All human activity was grouped into the same category, as activities such as hunting were infrequent and had no significant effect. Rodent and lagomorph detections were based on camera data; cameras set with a view of the ground, as ours were, can provide a comparable alternative to live trapping for estimates of small mammal activity across sites ( Rendall et al 2014 ;Thorne et al 2022 ). Model fit was assessed using AICc, and we report the top models and variable effects ( AICc > 2.0, P < 0.05).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…All human activity was grouped into the same category, as activities such as hunting were infrequent and had no significant effect. Rodent and lagomorph detections were based on camera data; cameras set with a view of the ground, as ours were, can provide a comparable alternative to live trapping for estimates of small mammal activity across sites ( Rendall et al 2014 ;Thorne et al 2022 ). Model fit was assessed using AICc, and we report the top models and variable effects ( AICc > 2.0, P < 0.05).…”
Section: Statistical Analysesmentioning
confidence: 99%