A Population Size Estimate of the Yellow-Lipped Sea Krait, Laticauda colubrina, on Kalampunian Damit Island, Sabah, Malaysia

Copeia ◽  
1991 ◽  
Vol 1991 (4) ◽  
pp. 1139 ◽  
Author(s):  
Engkamat Ak. Lading ◽  
Robert B. Stuebing ◽  
Harold K. Voris
2010 ◽  
Vol 11 (3) ◽  
pp. 233-243 ◽  
Author(s):  
A Andriolo ◽  
PG Kinas ◽  
MH Engel ◽  
CC Albuquerque Martins ◽  
AM Rufino

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Isabel Sathane ◽  
Makini A.S. Boothe ◽  
Roberta Horth ◽  
Cynthia Semá Baltazar ◽  
Noela Chicuecue ◽  
...  

2005 ◽  
Vol 72 (2) ◽  
pp. 214-216 ◽  
Author(s):  
Kathrin Lüttmann ◽  
Nils Anthes ◽  
Thomas G. D'Souza ◽  
Simone Riss ◽  
Nico K. Michiels

2015 ◽  
Vol 31 (3) ◽  
pp. 357-379 ◽  
Author(s):  
Susanna C. Gerritse ◽  
Peter G.M. van der Heijden ◽  
Bart F.M. Bakker

Abstract An important quality aspect of censuses is the degree of coverage of the population. When administrative registers are available undercoverage can be estimated via capture-recapture methodology. The standard approach uses the log-linear model that relies on the assumption that being in the first register is independent of being in the second register. In models using covariates, this assumption of independence is relaxed into independence conditional on covariates. In this article we describe, in a general setting, how sensitivity analyses can be carried out to assess the robustness of the population size estimate. We make use of log-linear Poisson regression using an offset, to simulate departure from the model. This approach can be extended to the case where we have covariates observed in both registers, and to a model with covariates observed in only one register. The robustness of the population size estimate is a function of implied coverage: as implied coverage is low the robustness is low. We conclude that it is important for researchers to investigate and report the estimated robustness of their population size estimate for quality reasons. Extensions are made to log-linear modeling in case of more than two registers and the multiplier method


2012 ◽  
Vol 6 (1) ◽  
pp. 98-107 ◽  
Author(s):  
David W Purcell ◽  
Christopher H Johnson ◽  
Amy Lansky ◽  
Joseph Prejean ◽  
Renee Stein ◽  
...  

Background: CDC has not previously calculated disease rates for men who have sex with men (MSM) because there is no single comprehensive source of data on population size. To inform prevention planning, CDC developed a national population size estimate for MSM to calculate disease metrics for HIV and syphilis. Methods: We conducted a systematic literature search and identified seven surveys that provided data on same-sex behavior in nationally representative samples. Data were pooled by three recall periods and combined using meta-analytic procedures. We applied the proportion of men reporting same-sex behavior in the past 5 years to U.S. census data to produce a population size estimate. We then calculated three disease metrics using CDC HIV and STD surveillance data and rate ratios comparing MSM to other men and to women. Results: Estimates of the proportion of men who engaged in same-sex behavior differed by recall period: past year = 2.9% (95%CI, 2.6–3.2); past five years = 3.9% (3.5–4.4); ever = 6.9% (5.1–8.6). Rates on all 3 disease metrics were much higher among MSM than among either other men or women (38 to 109 times as high). Conclusions: Estimating the population size for MSM allowed us to calculate rates for disease metrics and to develop rate ratios showing dramatically higher rates among MSM than among other men or women. These data greatly improve our understanding of the disproportionate impact of these diseases among MSM in the U.S. and help with prevention planning.


1995 ◽  
Vol 22 (6) ◽  
pp. 741 ◽  
Author(s):  
SD Hoyle ◽  
AB Horsup ◽  
CN Johnson ◽  
DG Crossman ◽  
H McCallum

The northern hairy-nosed wombat, one of the most endangered large mammals known, occurs only in Epping Forest National Park, central Queensland. The results of a 3-stage trapping programme, carried out between 1985 and 1993, were used to estimate population size by means of three separate modelling approaches: minimum number alive (MNA), mark-recapture, and trapping effort. Trapping procedure varied among sessions, and each estimator was applied to sessions only where its use was appropriate. The population-size estimate for 1985-86 was 67 (trap effort) with MNA of 58; for 1988-89 it was 62 (Jolly-Seber mark-recapture estimate), with MNA of 48 and upper 95% confidence limit of 77; and for 1993 it was 65 (Chao mark-recapture and trap effort), with MNA of 43 and upper 95% confidence limit of 186 (Chao mark-recapture). No population trends were observed, although variability in estimates and wide confidence intervals meant that power to do so was limited. Trapping affected the health and behaviour of wombats. Animals that were trapped twice within 10 nights lost an average of 0.62 kg (P = 0.006) between captures. Wombats that were trapped twice within the first four nights of traps being set on a burrow showed less weight loss than those trapped for the second time after 5-7 nights (0.23 kg v. 1.54 kg). The effects of trapping appeared to remain with animals for some time, since animals trapped twice more than 30 nights apart and within six months weighed an average of 0.5 kg less (P = 0.013) on second capture. When areas were trapped twice in succession with a 3-week gap, population-size estimates were lower for the second period of trapping. Thus, some wombats may have temporarily left areas disturbed by trapping. The deleterious impact of trapping may be reduced by restricting trapping to periods of four nights. Trapping effectiveness may be increased by minimising disturbance immediately before trapping and by moving traps between periods of trapping.


Sign in / Sign up

Export Citation Format

Share Document