Journal ArticleDOI
Point transect sampling along linear features.
Tiago Reis Marques,Tiago Reis Marques,Stephen T. Buckland,David L. Borchers,David G. Tosh,Robbie A. McDonald +5 more
TLDR
It is concluded that large bias may result if the position of samplers is not randomized, and analysis methods fail to account for nonuniformity.Abstract:
Distance sampling is a widely used methodology for assessing animal abundance. A key requirement of distance sampling is that samplers (lines or points) are placed according to a randomized design, which ensures that samplers are positioned independently of animals. Often samplers are placed along linear features such as roads, so that bias is expected if animals are not uniformly distributed with respect to distance from the linear feature. We present an approach for analyzing distance data from a survey when the samplers are points placed along a linear feature. Based on results from a simulation study and from a survey of Irish hares in Northern Ireland conducted from roads, we conclude that large bias may result if the position of samplers is not randomized, and analysis methods fail to account for nonuniformity.read more
Citations
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Journal ArticleDOI
Estimating animal population density using passive acoustics
Tiago Reis Marques,Tiago Reis Marques,Len Thomas,Stephen W. Martin,David K. Mellinger,Jessica Ward,David Moretti,Danielle Harris,Peter L. Tyack +8 more
TL;DR: In this paper, the authors present an overview of animal density estimation using passive acoustic data, a relatively new and fast-developing field, and provide a framework for acoustics-based density estimation, illustrated with real-world case studies.
Journal ArticleDOI
Estimating abundance of unmarked animal populations: accounting for imperfect detection and other sources of zero inflation
TL;DR: This work examines how detection error and zero inflation in count data inform the choice of analytical method for estimating population size of unmarked individuals that are not uniquely identified and reviews two established (GLMs and distance sampling) and nine emerging methods that use N-mixture models to estimate abundance of unmarked populations.
Journal ArticleDOI
Distance sampling with camera traps
TL;DR: In this article, the densities of Maxwell's duikers were estimated using Distance software, and data describing start times of videos of the duikers was archived at the Dryad data repository.
Journal ArticleDOI
An invasive-native mammalian species replacement process captured by camera trap survey random encounter models
Anthony Caravaggi,Marco Zaccaroni,Francesco Riga,Stéphanie C. Schai-Braun,Jaimie T. A. Dick,W. Ian Montgomery,Neil Reid +6 more
TL;DR: This work deploys REMs to describe an invasive-native species replacement process, and describes a post hoc optimization protocol for REM which will inform subsequent (re-)surveys, allowing survey effort to be reduced by up to 57% without compromising the width of confidence intervals associated with density estimates.
Journal ArticleDOI
Reviving common standards in point-count surveys for broad inference across studies
Steven M. Matsuoka,C. Lisa Mahon,Colleen M. Handel,Péter Sólymos,Erin M. Bayne,Patricia C. Fontaine,C. John Ralph +6 more
TL;DR: This paper revisited the common standards recommended by Ralph et al. (1993, 1995a) for conducting point-count surveys to assess the relative abundance of landbirds breeding in North America.
References
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Book
Introduction to Distance Sampling: Estimating Abundance of Biological Populations
Stephen T. Buckland,David E. Anderson,Kenneth P. Burnham,Jeffrey L. Laake,David L. Borchers,Len Thomas +5 more
TL;DR: In this article, the authors introduce the concepts of line transects, point tranchs, and related methods for study design and field methods, as well as illustrative examples.
Journal ArticleDOI
Distance software: design and analysis of distance sampling surveys for estimating population size.
Len Thomas,Stephen T. Buckland,Eric A. Rexstad,Jeffrey L. Laake,Samantha Strindberg,Sharon L. Hedley,Jon Bishop,Tiago Reis Marques,Kenneth P. Burnham +8 more
TL;DR: Advanced analysis topics covered include the use of multipliers to allow analysis of indirect surveys, the density surface modelling analysis engine for spatial and habitat modelling, and information about accessing the analysis engines directly from other software.
Journal ArticleDOI
Model selection: An integral part of inference
TL;DR: The authors argue that model selection uncertainty should be fully incorporated into statistical inference whenever estimation is sensitive to model choice and that choice is made with reference to the data and suggest strategies for data analysis.
Journal ArticleDOI
Incorporating covariates into standard line transect analyses.
TL;DR: A general methodology is developed which allows the effects of multiple covariates to be directly incorporated into the estimation procedure using a conditional likelihood approach, and is applied to eastern tropical Pacific dolphin sightings data.