A Double-Survey Estimate Of Population Size From Incomplete Counts

Magnusson, W. E., Caughley, G. J. and Grigg, Gordon C. (1978) A Double-Survey Estimate Of Population Size From Incomplete Counts. Journal of Wildlife Management, 42 1: 174-176.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
double_survey_es.pdf double_survey_es.pdf application/pdf 291.76KB 358

Author Magnusson, W. E.
Caughley, G. J.
Grigg, Gordon C.
Title A Double-Survey Estimate Of Population Size From Incomplete Counts
Journal name Journal of Wildlife Management   Check publisher's open access policy
Publication date 1978-01-01
Sub-type Other (News item, press release, note, obituary, other not liste
DOI 10.2307/3800708
Volume number 42
Issue number 1
ISSN 0022-541X
Start page 174
End page 176
Total pages 3
Language eng
Subject 280404 Numerical Analysis
270706 Life Histories (incl. Population Ecology)
Abstract We sought to estimate the number of crocodile nests on the Liverpool River, Northern Territory, Australia. Two methods of survey were available, aerial survey and ground survey, in each of which sightings could be mapped. Hence, those nests which were detected by both methods could be identified. These counts were used to demonstrate the method by which an estimate of total number could be calculated. The assumptions and limitations are discussed.
Keyword population estimate
survey
crocodile nests
Q-Index Code CX
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Other (News item, press release, note, obituary, other not liste
Collection: School of Biological Sciences Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 67 times in Thomson Reuters Web of Science Article | Citations
Google Scholar Search Google Scholar
Access Statistics: 469 Abstract Views, 358 File Downloads  -  Detailed Statistics
Created: Fri, 25 Feb 2005, 10:00:00 EST by Gordon Grigg