Literature DB >> 10783773

Methodology for estimating the abundance of rare animals: seabird nesting on north east Herald Cay.

A H Welsh1, R B Cunningham, R L Chambers.   

Abstract

We discuss the problem of estimating the number of nests of different species of seabirds on North East Herald Cay based on the data from a 1996 survey of quadrats along transects and data from similar past surveys. We consider three approaches based on different plausible models, namely a conditional negative binomial model that allows for additional zeroes in the data, a weighting approach (based on a heteroscedastic regression model), and a transform-both-sides regression approach. We find that the conditional negative binomial approach and a linear regression approach work well but that the transform-both-sides approach should not be used. We apply the conditional negative binomial and linear regression approaches with poststratification based on data quality and availability to estimate the number of frigatebird nests on North East Herald Cay.

Mesh:

Year:  2000        PMID: 10783773     DOI: 10.1111/j.0006-341x.2000.00022.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  3 in total

1.  Modeling Overdispersion, Autocorrelation, and Zero-Inflated Count Data Via Generalized Additive Models and Bayesian Statistics in an Aphid Population Study.

Authors:  F J Carvalho; D G de Santana; M V Sampaio
Journal:  Neotrop Entomol       Date:  2019-11-13       Impact factor: 1.434

2.  Hidden Markov models for zero-inflated Poisson counts with an application to substance use.

Authors:  Stacia M DeSantis; Dipankar Bandyopadhyay
Journal:  Stat Med       Date:  2011-05-02       Impact factor: 2.373

3.  A novel and cost-effective monitoring approach for outcomes in an Australian biodiversity conservation incentive program.

Authors:  David B Lindenmayer; Charles Zammit; Simon J Attwood; Emma Burns; Claire L Shepherd; Geoff Kay; Jeff Wood
Journal:  PLoS One       Date:  2012-12-06       Impact factor: 3.240

  3 in total

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